Internet Governance Blog

I. Introduction

"The period that we have embarked upon is unprecedented in history in terms of our ability to learn about human behavior." [1]

The world we live in today is facing a slow but deliberate metamorphosis of decisive information; from the erstwhile monopoly of world leaders and the captains of industry obtained through regulated means, it has transformed into a relatively undervalued currency of knowledge collected from individual digital expressions over a vast network of interconnected electrical impulses.[2] This seemingly random deluge of binary numbers, when interpreted represents an intricately woven tapestry of the choices that define everyday life, made over virtual platforms. The machines we once employed for menial tasks have become sensorial observers of our desires, wants and needs, so much so that they might now predict the course of our future choices and decisions.[3] The patterns of human behaviour that are reflected within this data inform policy makers, in both a public and private context. The collective data obtained from our digital shadows thus forms a rapidly expanding storehouse of memory, from which interested parties can draw upon to resolve problems and enable a more efficient functioning of foundational institutions, such as the markets, the regulators and the government.[4]

The term used to describe a large volume of collected data, in a structured as well as unstructured form is called Big Data. This data requires niche technology, outside of traditional software databases, to process; simply because of its exponential increment in a relatively short period of time. Big Data is usually identified using a "three V" characterization - larger volume, greater variety and distinguishably high rates of velocity. [5] This is exemplified in the diverse sources from which this data is obtained; mobile phone records, climate sensors, social media content, GPS satellite identifications and patterns of employment, to name a few. Big data analytics refers to the tools and methodologies that aim to transform large quantities of raw data into "interpretable data", in order to study and discern the same so that causal relationships between events can be conclusively established.[6] Such analysis could allow for the encouragement of the positive effects of such data and a concentrated mitigation of negative outcomes.

This paper seeks to map out the practices of different governments, civil society, and the private sector with respect to the collection, interpretation and analysis of big data in the global south, illustrated across a background of significant events surrounding the use of big data in relevant contexts. This will be combined with an articulation of potential opportunities to use big data analytics within both the public and private spheres and an identification of the contextual challenges that may obstruct the efficient use of this data. The objective of this study is to deliberate upon how significant obstructions to the achievement of developmental goals within the global south can be overcome through an accurate recognition, interpretation and analysis of big data collected from diverse sources.

II. Uses of Big Data in the Global Development

Big Data for development is the process though which raw, unstructured and imperfect data is analyzed, interpreted and transformed into information that can be acted upon by governments and policy makers in various capacities. The amount of digital data available in the world today has grown from 150 exabytes in 2005 to 1200 exabytes in 2010.[7] It is predicted that this figure would increase by 40% annually in the next few years[8], which is close to 40 times growth of the world's population. [9] The implication of this is essentially that the share of available data in the world today that is less than a minute old is increasing at an exponential rate. Moreover, an increasing percentage of this data is produced and created real-time.

The data revolution that is incumbent upon us is characterized by a rapidly accumulating and continuously evolving stock of data prevalent` in both industrialized as well as developing countries. This data is extracted from technological services that act as sensors and reflect the behaviour of individuals in relation to their socio-economic circumstances.

For many global south countries, this data is generated through mobile phone technology. This trend is evident in Sub Saharan Africa, where mobile phone technology has been used as an effective substitute for often weak and unstructured State mechanisms such as faulty infrastructure, underdeveloped systems of banking and inferior telecommunication networks.[10]

For example, a recent study presented at the Data for Development session at the NetMob Conference at MIT used mobile phone data to analyze the impact of opening a new toll highway in Dakar, Senegal on human mobility, particularly how people commute to work in the metropolitan area. ^[11] A huge investment, the improved infrastructure is expected to result in a significant increase of people in and out of Dakar, along with the transport of essential goods. This would initiate rural development in the areas outside of Dakar and boost the value of land within the region.^[12] The impact of the newly constructed highway can however only be analyzed effectively and accurately through the collection of this mobile phone data from actual commuters, on a real time basis.

Mobile phones technology is no longer used just for personal communication but has been transformed into an effective tool to secure employment opportunities, transfer money, determine stock options and assess the prices of various commodities.[13] This generates vast amounts of data about individuals and their interactions with the government and private sector companies. Internet Traffic is predicted to grow between 25 to 30 % in the next few years in North America, Western Europe and Japan but in Latin America, The Middle East and Africa this figure has been expected to touch close to 50%.[14] The bulk of this internet traffic can be traced back to mobile devices.

The potential applicability of Big Data for development at the most general level is the ability to provide an overview of the well being of a given population at a particular period of time.[15] This overcomes the relatively longer time lag that is prevalent with most other traditional forms of data collection. The analysis of this data has helped, to a large extent, uncover "digital smoke signals" - or inherent changes in the usage patterns of technological services, by individuals within communities.[16] This may act as an indicator of the changes in the underlying well-being of the community as a whole. This information about the well-being of a community derived from their usage of technology provides significantly relevant feedback to policy makers on the success or failure of particular schemes and can pin point changes that need to be made to status quo. [17]The hope is that this feedback delivered in real-time, would in turn lead to a more flexible and accessible system of international development, thus securing more measurable and sustained outcomes. [18]

The analysis of big data involves the use of advanced computational technology that can aid in the determination of trends, patterns and correlations within unstructured data so as to transform it into actionable information. It is hoped that this in addition to the human perspective and experience afforded to the process could enable decision makers to rely upon information that is both reliable and up to date to formulate durable and self-sustaining development policies.

The availability of raw data has to be adequately complemented with intent and a capacity to use it effectively. To this effect, there is an emerging volume of literature that seeks to characterize the primary sources of this Big Data as sharing certain easily distinguishable features. Firstly, it is digitally generated and can be stored in a binary format, thus making it susceptible to requisite manipulation by computers attempting to engage in its interpretation. It is passively produced as a by-product of digital interaction and can be automatically extracted for the purpose of continuous analysis. It is also geographically traceable within a predetermined time period. It is however important to note that "real time" does not necessarily refer to information occurring instantly but is reflective of the relatively short time in which the information is produced and made available thus making it relevant within the requisite timeframe. This allows efficient responsive action to be taken in a short span of time thus creating a feedback loop. [19]

In most cases the granularity of the data is preferably sought to be expanded over a larger spatial context such as a village or a community as opposed to an individual simply because this affords an adequate recognition of privacy concerns and the lack of definitive consent of the individuals in the extraction of this data. In order to ease the process of determination of this data, the UN Global Pulse has developed taxonomy of sorts to assess the types of data sources that are relevant to utilizing this information for development purposes.[20] These include the following sources;

Data Exhaust or the digital footprint left behind by individuals' use of technology for service oriented tasks such as web purchases, mobile phone transactions and real time information collected by UN agencies to monitor their projects such as levels of food grains in storage units, attendance in schools etc.

Online Information which includes user generated content on the internet such as news, blog entries and social media interactions which may be used to identify trends in human desires, perceptions and needs.

Physical sensors such as satellite or infrared imagery of infrastructural development, traffic patterns, light emissions and topographical changes, thus enabling the remote sensing of changes in human activity over a period of time.

Citizen reporting or crowd sourced data , which includes information produced on hotlines, mobile based surveys, customer generated maps etc. Although a passive source of data collection, this is a key instrument in assessing the efficacy of action oriented plans taken by decision makers.

The capacity to analyze this big data is hinged upon the reliance placed on technologically advanced processes such as powerful algorithms which can synthesize the abundance of raw data and break down the information enabling the identification of patterns and correlations. This process would rely on advanced visualization techniques such "sense-making tools"[21]

The identification of patterns within this data is carried out through a process of instituting a common framework for the analysis of this data. This requires the creation of a specific lexicon that would help tag and sort the collected data. This lexicon would specify what type of information is collected and who it is interpreted and collected by, the observer or the reporter. It would also aid in the determination of how the data is acquired and the qualitative and quantitative nature of the data. Finally, the spatial context of the data and the time frame within which it was collected constituting the aspects of where and when would be taken into consideration. The data would then be analyzed through a process of Filtering, Summarizing and Categorizing the data by transforming it into an appropriate collection of relevant indicators of a particular population demographic. [22]

The intensive mining of predominantly socioeconomic data is known as "reality mining" [23] and this can shed light on the processes and interactions that are reflected within the data. This is carried out via a tested three fold process. Firstly, the " Continuous Analysis over the streaming of the data", which involves the monitoring and analyzing high frequency data streams to extract often uncertain raw data. For example, the systematic gathering of the prices of products sold online over a period of time. Secondly, "The Online digestion of semi structured data and unstructured data", which includes news articles, reviews of services and products and opinion polls on social media that aid in the determination of public perception, trends and contemporary events that are generating interest across the globe. Thirdly, a 'Real-time Correlation of streaming data with slowly accessible historical data repositories,' which refers to the "mechanisms used for correlating and integrating data in real-time with historical records."[24] The purpose of this stage is to derive a contextualized perception of personalized information that seeks to add value to the data by providing a historical context to it. Big Data for development purposes would make use of a combination of these depending on the context and need.

(i) Policy Formulation

The world today has become increasingly volatile in terms of how the decisions of certain countries are beginning to have an impact on vulnerable communities within entirely different nations. Our global economy has become infinitely more susceptible to fluctuating conditions primarily because of its interconnectivity hinged upon transnational interdependence. The primordial instigators of most of these changes, including the nature of harvests, prices of essential commodities, employment structures and capital flows, have been financial and environmental disruptions. [25] According to the OECD, " Disruptive shocks to the global economy are likely to become more frequent and cause greater economic and social hardship. The economic spillover effects of events like the financial crisis or a potential pandemic will grow due to the increasing interconnectivity of the global economy and the speed with which people, goods and data travel."[26]

The local impacts of these fluctuations may not be easily visible or even traceable but could very well be severe and long lasting. A vibrant literature on the vulnerability of communities has highlighted the impacts of these shocks on communities often causing children to drop out of school, families to sell their productive assets, and communities to place a greater reliance on state rations.[27] These vulnerabilities cannot be definitively discerned through traditional systems of monitoring and information collection. The evidence of the effects of these shocks often take too long to reach decision makers; who are unable to formulate effective policies without ascertaining the nature and extent of the hardships suffered by these in a given context. The existing early warning systems in place do help raise flags and draw attention to the problem but their reach is limited and veracity compromised due to the time it takes to extract and collate this information through traditional means. These traditional systems of information collection are difficult to implement within rural impoverished areas and the data collected is not always reliable due to the significant time gap in its collection and subsequent interpretation. Data collected from surveys does provide an insight into the state of affairs of communities across demographics but this requires time to be collected, processed, verified and eventually published. Further, the expenses incurred in this process often prove to be difficult to offset.

The digital revolution therefore provides a significant opportunity to gain a richer and deeper insight into the very nature and evolution of the human experience itself thus affording a more legitimate platform upon which policy deliberations can be articulated. This data driven decision making, once the monopoly of private institutions such as The World Economic Forum and The McKinsey Institute [28] has now emerged at the forefront of the public policy discourse. Civil society has also expressed an eagerness to be more actively involved in the collection of real-time data after having perceived its benefits. This is evidenced by the emergence of 'crowd sourcing'[29] and other 'participatory sensing' [30] efforts that are founded upon the commonalities shared by like minded communities of individuals. This is being done on easily accessible platforms such as mobile phone interfaces, hand-held radio devices and geospatial technologies. [31]

The predictive nature of patterns identifiable from big data is extremely relevant for the purpose of developing socio-economic policies that seek to bridge problem-solution gaps and create a conducive environment for growth and development. Mobile phone technology has been able to quantify human behavior on an unprecedented scale.[32] This includes being able to detect changes in standard commuting patterns of individuals based on their employment status[33] and estimating a country's GDP in real-time by measuring the nature and extent of light emissions through remote sensing. [34]

A recent research study has concluded that "due to the relative frequency of certain queries being highly correlated with the percentage of physician visits in which individuals present influenza symptoms, it has been possible to accurately estimate the levels of influenza activity in each region of the United States, with a reporting lag of just a day." Online data has thus been used as a part of syndromic surveillance efforts also known as infodemiology. [35] The US Centre for Disease Control has concluded that mining vast quantities of data through online health related queries can help detect disease outbreaks " before they have been confirmed through a diagnosis or a laboratory confirmation." [36] Google trends works in a similar way.

Another public health monitoring system known as the Healthmap project compiles seemingly fragmented data from news articles, social media, eye-witness reports and expert discussions based on validated studies to "achieve a unified and comprehensive view of the current global state of infectious diseases" that may be visualized on a map. [37]

Big Data used for development purpose can reduce the reliance on human inputs thus narrowing the room for error and ensuring the accuracy of information collected upon which policy makers can base their decisions.

(ii) Advocacy and Social Change

Due to the ability of Big Data to provide an unprecedented depth of detail on particular issues, it has often been used as a vehicle of advocacy to highlight various issues in great detail. This makes it possible to ensure that citizens are provided with a far more participative experience, capturing their attention and hence better communicating these problems. Numerous websites have been able to use this method of crowd sourcing to broadcast socially relevant issues[38]. Moreover, the massive increase in access to the internet has dramatically improved the scope for activism through the use of volunteered data due to which advocates can now collect data from volunteers more effectively and present these issues in various forums. Websites like Ushahidi[39] and the Black Monday Movement [40] being prime examples of the same. These platforms have championed various causes, consistently exposing significant social crises' that would otherwise go unnoticed.

The Ushahidi application used crowd sourcing mechanisms in the aftermath of the Haiti earthquake to set up a centralized messaging system that allowed mobile phone users to provide information on injured and trapped people.[41] An analysis of the data showed that the concentration of text messages was correlated with the areas where there was an increased concentration of damaged buildings. [42] Patrick Meier of Ushahidi noted "These results were evidence of the system's ability to predict, with surprising accuracy and statistical significance, the location and extent of structural damage post the earthquake." [43]

Another problem that data advocacy hopes to tackle, however, is that of too much exposure, with advocates providing information to various parties to help ensure that there exists no unwarranted digital surveillance and that sensitive advocacy tools and information are not used inappropriately. An interesting illustration of the same is The Tactical Technology Collective[44] that hopes to improve the use of technology by activists and various other political actors. The organization, through various mediums such as films, events etc. hopes to train activists regarding data protection and privacy awareness and skills among human rights activists. Additionally, Tactical Technology also assists in ensuring that information is used in an appealing and relevant manner by human rights activists and in the field of capacity building for the purposes of data advocacy.

Observed data such as mobile phone records generated through network operators as well as through the use of social media are beginning to embody an omnipotent role in the development of academia through detailed research. This is due to the ability of this data to provide microcosms of information within both contexts of finer granularity and over larger public spaces. In the wake of natural disasters, this can be extremely useful, as reflected by the work of Flowminder after the 2010 Haiti earthquake.[45] A similar string of interpretive analysis can be carried out in instances of conflict and crises over varying spans of time. Flowminder used the geospatial locations of 1.9 million subscriber identity modules in Haiti, beginning 42 days before the earthquake and 158 days after it. This information allowed researches to empirically determine the migration patterns of population post the earthquake and enabled a subsequent UNFPA household survey.[46] In a similar capacity, the UN Global Pulse is seeking to assist in the process of consultation and deliberation on the specific targets of the millennium development goals through a framework of visual analytics that represent the big data procured on each of the topics proposed for the post- 2015 agenda online.[47]

A recent announcement of collaboration between RTI International, a non-profit research organization and IBM research lab looks promising in its initiative to utilize big data analytics in schools within Mombasa County, Kenya.[48] The partnership seeks to develop testing systems that would capture data that would assist governments, non-profit organizations and private enterprises in making more informed decisions regarding the development of education and human resources within the region. Äs observed by Dr. Kamal Bhattacharya, The Vice President of IBM Research, "A significant lack of data on Africa in the past has led to misunderstandings regarding the history, economic performance and potential of the government." The project seeks to improve transparency and accountability within the schooling system in more than 100 institutions across the county. The teachers would be equipped with tablet devices to collate the data about students, classrooms and resources. This would allow an analysis of the correlation between the three aspects thus enabling better policy formulation and a more focused approach to bettering the school system. [49] This is a part of the United States Agency for International Development's Education Data for Decision Making (EdData II) project. According to Dr Kommy Weldemariam, Research Scientist , IBM Research, "… there has been a significant struggle in making informed decisions as to how to invest in and improve the quality and content of education within Sub-Saharan Africa. The Project would create a school census hub which would enable the collection of accurate data regarding performance, attendance and resources at schools. This would provide valuable insight into the building of childhood development programs that would significantly impact the development of an efficient human capital pool in the near future."[50]

A similar initiative has been undertaken by Apple and IBM in the development of the "Student Achievement App" which seeks to use this data for "content analysis of student learning". The Application as a teaching tool that analyses the data provided to develop actionable intelligence on a per-student basis." [51] This would give educators a deeper understanding of the outcome of teaching methodologies and subsequently enable better leaning. The impact of this would be a significant restructuring of how education is delivered. At a recent IBM sponsored workshop on education held in India last year , Katharine Frase, IBM CTO of Public Sector predicted that "classrooms will look significantly different within a decade than they have looked over the last 200 years."[52]

(iii) Access and the exchange of information

Big data used for development serves as an important information intermediary that allows for the creation of a unified space within which unstructured heterogeneous data can be efficiently organized to create a collaborative system of information. New interactive platforms enable the process of information exchange though an internal vetting and curation that ensures accessibility to reliable and accurate information. This encourages active citizen participation in the articulation of demands from the government, thus enabling the actualization of the role of the electorate in determining specific policy decisions.

The Grameen Foundation's AppLab in Kampala aids in the development of tools that can use the information from micro financing transactions of clients to identify financial plans and instruments that would be be more suitable to their needs.[53] Thus, through working within a community, this technology connects its clients in a web of information sharing that they both contribute to and access after the source of the information has been made anonymous. This allows the individual members of the community to benefit from this common pool of knowledge. The AppLab was able to identify the emergence of a new crop pest from an increase in online searches for an unusual string of search terms within a particular region. Using this as an early warning signal, the Grameen bank sent extension officers to the location to check the crops and the pest contamination was dealt with effectively before it could spread any further.[54]

(iv) Accountability and Transparency

Big data enables participatory contributions from the electorate in existing functions such as budgeting and communication thus enabling connections between the citizens, the power brokers and elites. The extraction of information and increasing transparency around data networks is also integral to building a self-sustaining system of data collection and analysis. However it is important to note that this information collected must be duly analyzed in a responsible manner. Checking the veracity of the information collected and facilitating individual accountability would encourage more enthusiastic responses from the general populous thus creating a conducive environment to elicit the requisite information. The effectiveness of the policies formulated by relying on this information would rest on the accuracy of such information.

An example of this is Chequeado, a non-profit Argentinean media outlet that specializes in fact-checking. It works on a model of crowd sourcing information on the basis of which it has fact checked everything from the live presidential speech to congressional debates that have been made open to the public. [55] It established a user friendly public database, DatoCHQ, in 2014 which allowed its followers to participate in live fact-checks by sending in data, which included references, facts, articles and questions, through twitter. [56] This allowed citizens to corroborate the promises made by their leaders and instilled a sense of trust in the government.

III. Big Data and Smart Cities in the Global South

Smart cities have become a buzzword in South Asia, especially after the Indian government led by Prime Minister Narendra Modi made a commitment to build 100 smart cities in India[57]. A smart city is essentially designed as a hub where the information and communication technologies (ICT) are used to create feedback loops with an almost minimum time gap. In traditional contexts, surveys carried out through a state sponsored census were the only source of systematic data collection. However these surveys are long drawn out processes that often result in a drain on State resources. Additionally, the information obtained is not always accurate and policy makers are often hesitant to base their decisions on this information. The collection of data can however be extremely useful in improving the functionality of the city in terms of both the 'hard' or physical aspects of the infrastructural environment as well as the 'soft' services it provides to citizens. One model of enabling this data collection, to this effect, is a centrally structured framework of sensors that may be able to determine movements and behaviors in real-time, from which the data obtained can be subsequently analyzed. For example, sensors placed under parking spaces at intersections can relay such information in short spans of time. South Korea has managed to implement a similar structure within its smart city, Songdo.[58]

Another approach to this smart city model is using crowd sourced information through apps, either developed by volunteers or private conglomerates. These allow for the resolving of specific problems by organizing raw data into sets of information that are attuned to the needs of the public in a cohesive manner. However, this system would require a highly structured format of data sets, without which significantly transformational result would be difficult to achieve.[59]

There does however exist a middle ground, which allows the beneficiaries of this network, the citizens, to take on the role of primary sensors of information. This method is both cost effective and allows for an experimentation process within which an appropriate measure of the success or failure of the model would be discernible in a timely manner. It is especially relevant in fast growing cities that suffer congestion and breakdown of infrastructure due to the unprecedented population growth. This population is now afforded with the opportunity to become a part of the solution.

The principle challenge associated with extracting this Big Data is its restricted access. Most organizations that are able to collect this big data efficiently are private conglomerates and business enterprises, who use this data to give themselves a competitive edge in the market, by being able to efficiently identify the needs and wants of their clientele. These organizations are reluctant to release information and statistics because they fear it would result in them losing their competitive edge and they would consequently lose the opportunity to benefit monetarily from the data collected. Data leaks would also result in the company getting a bad name and its reputation could be significantly hampered. Despite the individual anonymity, the transaction costs incurred in ensuring the data of their individual customers is protected is often an expensive process. In addition to this there is a definite human capital gap resulting from the significant lack of scientists and analysts to interpret raw data transmitted across various channels.

(i) Big Data in Urban Planning

Urban planning would require data that is reflective of the land use patterns of communities, combined with their travel descriptions and housing preferences. The mobility of individuals is dependent on their economic conditions and can be determined through an analysis of their purchases, either via online transactions or from the data accumulated by prominent stores. The primary source of this data is however mobile phones, which seemed to have transcend economic barriers. Secondary sources include cards used on public transport such as the Oyster card in London and the similar Octopus card used in Hong Kong. However, in most developing countries these cards are not available for public transport systems and therefore mobile network data forms the backbone of data analytics. An excessive reliance on the data collected through Smart phones could however be detrimental, especially in developing countries, simply because the usage itself would most likely be concentrated amongst more economically stable demographics and the findings from this data could potentially marginalize the poor.[60]

Mobile network big data (MNBD) is generated by all phones and includes CDRs, which are obtained from calls or texts that are sent or received, internet usage, topping up a prepaid value and VLR or Visitor Location Registry data which is generated whenever the phone is question has power. It essentially communicates to the Base Transceiver Stations (BSTs) that the phone is in the coverage area. The CDR includes records of calls made, duration of the call and information about the device. It is therefore stored for a longer period of time. The VLR data is however larger in volume and can be written over. Both VLR and CDR data can provide invaluable information that can be used for urban planning strategies. [61] LIRNEasia, a regional policy and regulation think-tank has carried out an extensive study demonstrating the value of MNBD in SriLanka.[62] This has been used to understand and sometimes even monitor land use patterns, travel patterns during peak and off seasons and the congregation of communities across regions. This study was however only undertaken after the data had been suitably pseudonymised.[63] The study revealed that MNBD was incredibly valuable in generating important information that could be used by policy formulators and decision makers, because of two primary characteristics. Firstly, it comes close to a comprehensive coverage of the demographic within developing countries, thus using mobile phones as sensors to generate useful data. Secondly, people using mobile phones across vast geographic areas reflect important information regarding patterns of their travel and movement. [64]

MNBD allows for the tracking and mapping of changes in population densities on a daily basis, thus identifying 'home' and 'work' locations, informing policy makers of population congestion so that thy may be able to formulate policies with respect to easing this congestion. According to Rohan Samarajiva, founding chair of LIRNEasia, "This allows for real-time insights on the geo-spatial distribution of population, which may be used by urban planners to create more efficient traffic management systems."^[65] This can also be used for the developmental economic policies. For example, the northern region of Colombo, a region inhabited by the low income families shows a lower population density on weekdays. This is reflective of the large numbers travelling to southern Colombo for employment. ^[66]Similarly, patterns of land use can be ascertained by analyzing the various loading patterns of base stations. Building on the success of the Mobile Data analysis project in SriLanka LIRNEasia plans to collaborate with partners in India and Bangladesh to assimilate real time information about the behavioral tendencies of citizens, using which policy makers may be able to make informed decisions. When this data is combined with user friendly virtual platforms such as smartphone Apps or web portals, it can also help citizens make informed choices about their day to day activities and potentially beneficial long term decisions. ^[67]

Challenges of using Mobile Network Data

Mobile networks invest significant sums of money in obtaining information regarding usage patterns of their services. Consequently, they may use this data to develop location based advertizing. In this context, there is a greater reluctance to share data for public purposes. Allowing access to one operator's big data by another could result in significant implications on the other with respect to the competitive advantage shared by the operator. A plausible solution to this conundrum is the accumulation of data from multiple sources without separating or organizing it according to the source it originates from. There is thus a lesser chance of sensitive information of one company being used by another. However, even operators do have concerns about how the data would be handled before this "mashing up" occurs and whether it might be leaked by the research organization itself. LIRNEasia used comprehensive non-disclosure agreements to ensure that the researchers who worked with the data were aware of the substantial financial penalties that may be imposed on them for data breaches. The access to the data was also restricted. [68]

Another line of argumentation advocates for the open sharing of data. A recent article in the Economist has articulated this in the context of the Ebola outbreak in West Africa. " Releasing the data, though, is not just a matter for firms since people's privacy is involved. It requires governmental action as well. Regulators in each affected country would have to order operators to make their records accessible to selected researchers, who through legal agreements would only be allowed to use the data in a specific manner. For example, Orange, a major mobile phone network operator has made millions of CDRs from Senegal and The Ivory Coast available for researchers for their use under its Data Development Initiative. However the Political will amongst regulators and Network operators to do this seems to be lacking."[69]

It would therefore be beneficial for companies to collaborate with the customers who create the data and the researchers who want to use it to extract important insights. This however would require the creation of and subsequent adherence to self regulatory codes of conduct. [70] In addition to this cooperation between network operators will assist in facilitating the transference of the data of their customers to research organizations. Sri Lanka is an outstanding example of this model of cooperation which has enabled various operators across spectrums to participate in the mobile-money enterprise.[71]

(ii) Big Data and Government Delivery of Services and Functions

The analysis of Data procured in real time has proven to be integral to the formulation of policies, plans and executive decisions. Especially in an Asian context, Big data can be instrumental in urban development, planning and the allocation of resources in a manner that allows the government to keep up with the rapidly growing demands of an empowered population whose numbers are on an exponential rise. Researchers have been able to use data from mobile networks to engage in effective planning and management of infrastructure, services and resources. If, for example, a particular road or highway has been blocked for a particular period of time an alternative route is established before traffic can begin to build up creating a congestion, simply through an analysis of information collected from traffic lights, mobile networks and GPS systems.[72]

There is also an emerging trend of using big data for state controlled services such as the military. The South Korean Defense Minister Han Min Koo, in his recent briefing to President Park Geun-hye reflected on the importance of innovative technologies such as Big Data solutions. [73]

The Chinese government has expressed concerns regarding data breaches and information leakages that would be extremely dangerous given the exceeding reliance of governments on big data. A security report undertaken by Qihoo 360, China's largest software security provider established that 2,424 of the 17,875 Web security loopholes were on government websites. Considering the blurring line between government websites and external networks, it has become all the more essential for authorities to boost their cyber security protections.[74]

The Japanese government has considered investing resources in training more data scientists who may be able to analyze the raw data obtained from various sources and utilize requisite techniques to develop an accurate analysis. The Internal Affairs and Communication Ministry planned to launch a free online course on big data, the target of which would be corporate workers as well as government officials.[75]

Data analytics is emerging as an efficient technique of monitoring the public transport management systems within Singapore. A recent collaboration between IBM, StarHub, The Land Transport Authority and SMRT initiated a research study to observe the movement of commuters across regions. ^[76] This has been instrumental in revamping the data collection systems already in place and has allowed for the procurement of additional systems of monitoring.^[77] The idea is essentially to institute a "black box" of information for every operational unit that allows for the relaying of real-time information from sources as varied as power switches, tunnel sensors and the wheels, through assessing patterns of noise and vibration. ^[78]

In addition to this there are numerous projects in place that seek to utilize Big Data to improve city life. According to Carlo Ritti, Director of the MIT Senseable City Lab, "We are now able to analyze the pulse of a city from moment to moment. Over the past decade, digital technologies have begun to blanket our cities, forming the backbone of a large, intelligent infrastructure." ^[79] The professor of Information Architecture and Founding Director of the Singapore ETH Centre, Gerhart Schmitt has observed that "the local weather has a major impact on the behavior of a population." In this respect the centre is engaged in developing a range of visual platforms to inform citizens on factors such as air quality which would enable individuals to make everyday choices such as what route to take when planning a walk or predict a traffic jam. ^[80] Schmitt's team has also been able to arrive at a pattern that connects the demand for taxis with the city's climate. The amalgamation of taxi location with rainfall data has been able to help locals hail taxis during a storm. This form of data can be used in multiple ways allowing the visualization of temperature hotspots based on a "heat island" effect where buildings, cars and cooling units cause a rise in temperature. ^[81]

Microsoft has recently entered into a partnership with the Federal University of Minas Gerais, one of the largest universities in Brazil to undertake a research project that could potentially predict traffic jams up to an hour in advance. ^[82] The project attempts to analyze information from transport departments, road traffic cameras and drivers social network profiles to identify patterns that they could use to help predict traffic jams approximately 15 to 60 minutes before they actually happen.^[83]

In anticipation of the increasing demand for professionals with requisite training in data sciences, the Malaysian Government has planned to increase the number of local data scientists from the present 80 to 1500 by 2020, through the support of the universities within the country.

IV. Big Data and the Private Sector in the Global South

Essential considerations in the operations of Big Data in the Private sector in the Asia Pacific region have been extracted by a comprehensive survey carried out by the Economist Intelligence Unit.[84] Over 500 executives across the Asia Pacific region were surveyed, from across industries representing a diverse range of functions. 69% of these companies had an annual turnover of over US $500m. The respondents were senior managers responsible for taking key decisions with regard to investment strategies and the utilization of big data for the same.

The results of the Survey conclusively determined that firms in the Asia Pacific region have had limited success with implementing Big Data Practices. A third of the respondents claimed to have an advanced knowledge of the utilization of big data while more than half claim to have made limited progress in this regard. Only 9% of the Firms surveyed cited internal barriers to implementing big data practices. This included a significant difficulty in enabling the sharing of information across boundaries. Approximately 40% of the respondents surveyed claimed they were unaware of big data strategies, even if they had in fact been in place simply because these had been poorly communicated to them. Almost half of the firms however believed that big data plays an important role in the success of the firm and that it can contribute to increasing revenue by 25% or more.

Numerous obstacles in the adoption of big data were cited by the respondents. These include the lack of suitable software to interpret the data and the lack of in-house skills to analyze the data appropriately. In addition to this, the lack of willingness on the part of various departments to share their data for the fear of a breach or leak was thought to be a major hindrance. This combined with a lack of communication between the various departments and exceedingly complicated reports that cannot be analyzed given the limited resources and lack of human capital qualified enough to carry out such an analysis, has resulted in an indefinite postponement of any policy propounding the adoption of big data practices.

Over 59% of the firms surveyed agreed that collaboration is integral to innovation and that information silos are a huge hindrance within a knowledge based economy. There is also a direct correlation between the size of the company and its progress in adopting big data, with larger firms adopting comprehensive strategies more frequently than smaller ones. A major reason for this is that large firms with substantially greater resources are able to actualize the benefits of big data analytics more efficiently than firms with smaller revenues. These businesses which have advanced policies in place outlining their strategies with respect to their reliance on big data are also more likely to communicate these strategies to their employees to ensure greater clarity in the process.

The use of big data was recently voted as the "best management practice" of the past year according to a cumulative ranking published by Chief Executive China Magazine, a Trade journal published by Global Sources on 13th January, 2015 in Beijing. The major benefit cited was the real-time information sourced from customers, which allows for direct feedback from clients when making decisions regarding changes in products or services. [85]

A significant contributor to the lack of adequate usage of data analytics is the belief that a PhD is a prerequisite for entering the field of data science. This misconception was pointed out by Richard Jones, vice president of Cloudera in the Australia, New Zealand and the Asean region. Cloudera provides businesses with the requisite professional services that they may need to effectively utilize Big Data. This includes a combination of the necessary manpower, technology and consultancy services.^[86] Deepak Ramanathan, the chief technology officer, SAS Asia Pacific believes that this skill gap can be addressed by forming data science teams within both governments and private enterprises. These teams could comprise of members with statistical, coding and business skills and allow them to work in a collaborative manner to address the problem at hand.^[87] SAS is an Enterprise Software Giant that creates tools tailored to suit business users to help them interpret big data. Eddie Toh, the planning and marketing manager of Intel's data center platform believes that businesses do not necessarily need data scientists to be able to use big data analytics to their benefit and can in fact outsource the technical aspects of the interpretation of this data as and when required.^[88]

The analytical team at Dell has forged a partnership with Brazilian Public Universities to facilitate the development of a local talent pool in the field of data analytics. The Instituto of Data Science (IDS) will provide training methodologies for in person or web based classes. ^[89] The project is being undertaken by StatSoft, a subsidiary of Dell that was acquired by the technology giant last year. ^[90]

V. Conclusion

There have emerged numerous challenges in the analysis and interpretation of Big Data. While it presents an extremely engaging opportunity, which has the potential to transform the lives of millions of individuals, inform the private sector and influence government, the actualization of this potential requires the creation of a sustainable foundational framework ; one that is able to mitigate the various challenges that present themselves in this context.

A colossal increase in the rate of digitization has resulted in an unprecedented increment in the amount of Big Data available, especially through the rapid diffusion cellular technology. The importance of mobile phones as a significant source of data, especially in low income demographics cannot be overstated. This can be used to understand the needs and behaviors of large populations, providing an in depth insight into the relevant context within which valuable assessments as to the competencies, suitability and feasibilities of various policy mechanisms and legal instruments can be made. However, this explosion of data does have a lasting impact on how individuals and organizations interact with each other, which might not always be reflected in the interpretation of raw data without a contextual understanding of the demographic. It is therefore vital to employ the appropriate expertise in assessing and interpreting this data. The significant lack of a human resource to capital to analyze this information in an accurate manner poses a definite challenge to its effective utilization in the Global South.

The legal and technological implications of using Big Data are best conceptualized within the deliberations on protecting the privacy of the contributors to this data. The primary producers of this information, from across platforms, are often unaware that they are in fact consenting to the subsequent use of the data for purposes other than what was intended. For example people routinely accept terms and conditions of popular applications without understanding where or how the data that they inadvertently provide will be used.[91] This is especially true of media generated on social networks that are increasingly being made available on more accessible platforms such as mobile phones and tablets. Privacy has and always will remain an integral pillar of democracy. It is therefore essential that policy makers and legislators respond effectively to possible compromises of privacy in the collection and interpretation of this data through the institution of adequate safeguards in this respect.

Another challenge that has emerged is the access and sharing of this data. Private corporations have been reluctant to share this data due to concerns about potential competitors being able to access and utilize the same. In addition to this, legal considerations also prevent the sharing of data collected from their customers or users of their services. The various technical challenges in storing and interpreting this data adequately also prove to be significant impediments in the collection of data. It is therefore important that adequate legal agreements be formulated in order to facilitate a reliable access to streams of data as well as access to data storage facilities to accommodate for retrospective analysis and interpretation.

In order for the use of Big Data to gain traction, it is important that these challenges are addressed in an efficient manner with durable and self-sustaining mechanisms of resolving significant obstructions. The debates and deliberations shaping the articulation of privacy concerns and access to such data must be supported with adequate tools and mechanisms to ensure a system of "privacy-preserving analysis." The UN Global Pulse has put forth the concept of data philanthropy to attempt to resolve these issues, wherein " corporations [would] take the initiative to anonymize (strip out all personal information) their data sets and provide this data to social innovators to mine the data for insights, patterns and trends in realtime or near realtime."[92]

The concept of data philanthropy highlights particular challenges and avenues that may be considered for future deliberations that may result in specific refinements to the process.

One of the primary uses of Big Data, especially in developing countries is to address important developmental issues such as the availability of clean water, food security, human health and the conservation of natural resources. Effective Disaster management has also emerged as one of the key functions of Big Data. It therefore becomes all the more important for organizations to assess the information supply chains pertaining to specific data sources in order to identify and prioritize the issues of data management. [93] Data emerging from different contexts, across different sources may appear in varied compositions and would differ significantly across economic demographics. The Big Data generated from certain contexts would be inefficient due to the unavailability of data within certain regions and the resulting studies affecting policy decisions should take into account this discrepancy. This data unavailability has resulted in a digital divide which is especially prevalent in the global south. [94]

Appropriate analysis of the Big Data generated would provide a valuable insight into the key areas and inform policy makers with respect to important decisions. However, it is necessary to ensure that the quality of this data meets a specific standard and appropriate methodological processes have been undertaken to interpret and analyze this data. The government is a key actor that can shape the ecosystem surrounding the generation, analysis and interpretation of big data. It is therefore essential that governments of countries across the global south recognize the need to collaborate with civic organizations as well technical experts in order to create appropriate legal frameworks for the effective utilization of this data.

I. Introduction

The organization of societies and states is predicated on the development of Information Technology and has begun to enable the construction of specialized networks. These networks aid in the mobilization of resources on a global platform.[1] There is a need for governance structures that embody this globalized thinking and adopt superior information technology devices to bridge gaps in the operation and participation of not only political functions but also economic processes and operations.[2] Currently, public institutions fall short of an optimum level of functioning simply because they lack the information, know-how and resources to respond effectively to this newly globalized and economically liberalized world order. Civil society is beginning to seek a greater participatory voice in both policy making and ideating, which require public institutions to institute a method of allowing this participation while at the same time retaining the crux of their functions and processes. The network society thus requires, As argued by Castells, a new methodology of social structuring, one amalgamating the analysis of social structure and social action within the same overarching framework.[3] This Network propounds itself as a 'dynamic, self-evolving structure, which, powered by information technology and communicating with the same digital language, can grow, and include all social expressions, compatible with each network's goals. Networks increase their value exponentially through their contribution to human resources, markets, raw materials and other such components of production and distribution.' [4]

As noted by Kevin Kelly,' The Atom is the past. The symbol of science for the next century is the dynamical Net.…Whereas the Atom represents clean simplicity, the Net channels the messy power of complexity. The only organization capable of nonprejudiced growth or unguided learning is a network. All other topologies limit what can happen. A network swarm is all edges and therefore open ended any way you come at it. Indeed the network is the least structured organization that can be said to have any structure at all. ..In fact a plurality of truly divergent components can only remain coherent in a network. No other arrangement - chain, pyramid, tree, circle, hub - can contain true diversity working as a whole .'[5]

A network therefore is integral to the facilitation, coordination and advocacy of different agenda within a singular framework, which seeks to formulate suitable responses to a wide range of problems across regions. An ideal model of a network would therefore be one that is reflective of the interconnectivity between relationships, strengthened by effective communication and based on a strong foundation of trust.

The most powerful element of a network is however the idea of a common purpose. The pursuit is towards similar ends and therefore the interconnected web of support it offers is in realization of a singular goal,

II. Evolution of the Network

There are certain norms that must be incorporated for a network to be able to work at its best. Robert Chambers, in his book, Whose Reality Counts? Identifies these norms and postulates their extension to every form of a network, in order to capture its creative spirit and aid in the realization of its goals.[6] A network should therefore ideally foster four fundamental elements in order to inculcate an environment of trust, encouragement and the overall actualization of its purpose. These elements are; Diversity or the encouragement of a multitude of narratives from diverse sources, Dynamism or the ability of participants to retain their individual identities while maintaining a facilitative structure, Democracy or an equitable system of decision making to enable an efficient working of the net and finally, Decentralization or the feasibility of enjoying local specifics on a global platform.[7]

In order to attain these ideal elements it is integral to strengthen certain aspects of the practice through performing specific and focused functions, these include making sure of a clear broad consensus, which ensures the co-joining of a common purpose. Additionally, centralization, in the form of an overarching set of rules must be kept to a minimum, in order to facilitate a greater level of flexibility while still providing the necessary support structure. The building of trust and solid relationships between participants is prioritized to enhance creative ideation in a supportive environment. Joint activities, more than being output oriented are seen as the knots that tie together the entire web of support. Input and participation are the foremost objectives of the network, in keeping with the understanding that "contribution brings gain". [8]

Significant management issues that plague networks include the practical aspects of bringing the network into function through efficient leadership and the consolidation of a common vision. A balanced approach would entail a common consultation on the goals of the network, the sources of funding and an agreed upon structure within which the network would operate. It is also important to create alliances outside of the sector of familiarity and ensure an inclusive environment for members across regions, allowing them to retain their localized individuality while affording them with a global platform. [9]

III. Structure

The structural informality of a network is essential to its sustenance. Networks must therefore ensure that they embody a non-hierarchized structure, devoid of bureaucratic interferences and insulated from a centralized system of control and supervision. This requires an internal system of checks and balances, consisting of periodic reviews and assessments. Networks must therefore limit the powers of supervision of the secretariat. The secretariat must allow for the coordination of its activities and allocate appropriate areas of engagement according to the relative strength of the participating members.

One form of a network structure, postulated within a particular research study is the threads, knots and Nets model. [10] It consists of members within a network bound together by threads of relationship, communication and trust. These threads represent the commonality that binds together the participants of the particular network. The threads are established through common ideas and a voluntary participation in the process of communication and conflict resolution. [11]

The knots represent the combined activities which the participants engage in, with the common goal of realizing a singular purpose. These knots signify an optimum level of activity, wherein members of the network are able to support, inspire and confer tangible benefits onto each other. The net represents the entire structure of the network, which is constructed through a confluence of relationships and common activities. [12] The structure is autonomous in nature and allows participants to contribute without losing their individual identities. It is also dynamic and flexible; incorporating new elements with relative ease. It is therefore a collaboration which affords onto its members the opportunity to expand without losing its purpose. The maintenance of such a structure requires constant review and repair, with adequate awareness of weak links or "threads" and the capability and willingness to knot them together with new participants, thereby extending the net.

For example, the Global Alliance for Vaccines and Immunization used a system of organizational "milestones" to monitor the progress of the network and keep the network concentrated. It requires a sustained institutional effort to fulfill its mandate of "the right of every child to be protected against vaccine-preventable diseases" and brings together international organizations, civil society and private industry. [13] As postulated within the Critical Choices research study of the United Nations, clearly defined milestones are integral to sustaining an effective support mechanism for donors and ensuring that all relevant participants are on board. [14] This also allows for donors to be made aware of the tangible outcomes that have been achieved by the network. Interim goals that are achievable within a short span of time also afford a sense of legitimacy onto the network, allowing it to deliver on its mandate early on. Setting milestones would require an in depth focus and a nuanced understanding of specific aspects of larger problems and delivering early results on these problems would allow for a foundational base of trust, on the foundation of which, a possibly long drawn out consultative process can be fixed.[15]

A Network might often find alliances outside of its sector of operation. For example, Greenpeace was able to make its voice heard in International Climate Change negotiations by engaging with private insurance companies and enlisting their support.[16] The organization looked towards the private sector for support to mobilize resources and enlist the requisite expertise within their various projects. [17]

A. Funding

The financial support a network receives is essential for its sustenance. The initial seed money it receives can be obtained from a single source however, cross sectoral financing is necessary to build a consensus with regards to issues that may be a part of the network's mandate. The World Commission for Dams (WCD), for example, obtains funding from multiple sources in order to retain its credibility. The sources of funding of the WCD include government agencies, multilateral organizations, business associations, NGO's and Government Agencies, without a single donor contributing more than 10% of the total funding it receives.[18] However, the difficulty with this model of funding is the relative complexity in assimilating a number of smaller contributions, which may take away from its capacity to expand its reach and enhance the scope of its work. Cross sectoral funding is less of a fundamental requirement for networks whose primary mandate is implementation, such as The Global Environment Facility (GEF), whose legitimacy is derived from intergovernmental treaties and is therefore only funded by governments.[19] The GEF has only recently broadened its sources of funding to include external contributions from the private sector.

A network can also be funded through the objective it seeks to achieve through the course of its activities. For example, Rugmark an international initiative which seeks to mitigate the use of child labor in South Asia uses an external on site monitoring system to verify and provide labels certifying the production of carpets without the use of child labor.[20] The monitors of this system are trained by Rugmark and carpet producers have to sign a binding agreement, undertaking not to employ children below the age of 14 in order to receive the certification. The funds generated from these carpets, for the import of which American and European importers pay 1% of the import value, are used to provide rehabilitation and education facilities for the children in affected areas. The use of these funds is reported regularly. [21]

The funding must be sustained for a few years, which is a difficult task for networks that require an overall consensus of participants. The greatest outcomes of the network are not tangible solutions to the problem but the facilitation of an environment which allows stakeholders to derive a tangible solution. Thus, the elements of trust, communication and collaboration are integral to the efficient functioning of the network. However, the lack of tangible outcomes exposes the funders to financial risks. The best way to reduce such risks is to institute an uncompromising time limit for the initiative, within which it must achieve tangible results or solutions that can be implemented. A less stringent approach would be to incorporate a system of periodic review and assessment of the accomplishments of the network, subsequent to which further recommendations may be made for a further course of action.[22]

B. Relationships

A three year study conducted by Newell & Swan drew definitive conclusions with respect to the inter-organizational collaboration between participants within a network. The study determined that there currently exist three types of trust; Companion trust or the trust that exists within the goodwill and friendship between participants, Competence trust, wherein the competence of other participants to carry out the tasks assigned to them is agreed upon and lastly, Commitment trust or the trust which is predicated on contractual or inter-institutional that are agreed upon. [23] While companion and competence trust are easily identifiable, commitment trust is more subjective as it is determined by the agreement surrounding the core values and overall identifiable aims. Sheppard & Tuchinsky refer to an identification based trust which is based on a collective understanding of shared values. Such a trust requires significant investment but they argue, "The rewards are commensurably greater and the he benefits go beyond quantity, efficiency and flexibility." [24] Powell postulates, "Trust and other forms of social capital are moral resources that operate in fundamentally different manner than physical capital. The supply of trust increases, rather than decreases, with use: indeed, trust can be depleted if not used." [25]

Karl Wieck endorses the "maintenance of tight control values and beliefs which allow for local adaptation within centralized systems." [26] The autonomy that participants within a network enjoy is therefore considered to be close to sacred, so as to allow them to engage with each other on an equitable footing, while still maintain their individual identities. Freedman and Reynders believe that networks place a so called 'premium' on " the autonomy of those linked through the network…..networks provide a structure through which different groups - each with their own organizational styles, substantive priorities, and political strategies - can join together for common purposes that fill needs felt by each. "[27] Consequently, lower the level of centralized control within a network, the greater the requirement of trust. Allen Nan resonates with this idea, as is evident from her review of coordinating conflict resolution NGO's. She believes that these NGO's are most effective when " beginning with a loose voluntary association which grows through relationship building, gradually building more structure and authority as it develops. No NGO wants to give away its authority until it trusts a networking body of people that it knows. " [28]

C. Communication and Collaboration

The binding force that ties together any network is the importance of relationships between participants and their interactions with organizations outside the network. Research has shown that face to face interaction works best and although email may be practical, a face-to-face meeting at regular intervals builds a level of trust amongst participants. [29] It is however important to prevent network from turning into 'self-selecting oligarchies' and to prevent this, there needs to be a balance drawn between goodwill and the trust in others' competence along with a common understanding of differently hierarchized values. [30]

There is also an impending need to develop a relationship vocabulary, as suggested by Taylor, which would be of particular use within transnational networks and afford a deeper understanding of cross cultural relationships.[31]

D. Participation

A significant issue that networks today have to address is how to inculcate and then subsequently maintain participation in the activities of the network. This would include providing incentives to participants, encouraging diversity and enabling greater creative inflow across sectors to generate innovative output. Participation involves three fundamental elements; Action, which includes active contribution in the form of talking, listening, commenting, responding and sharing information, Process, which aids in an equitable system of decision making and constructing relationships and the underpinned values associated with these two elements, which include spreading equality, inculcating openness and including previously excluded communities or individuals. [32] Participation in itself envisages a three leveled definition; participation as a contribution, where people offer a tangible input, participation as an organization process, where people organize themselves to influence certain pre-existing processes and participation as a form of empowerment where people seek to gain power and authority from participating.

In order to create an autonomous system of evaluating and monitoring the nature and context of participation, a network would have to attempt to systematically incorporate a few fundamental processes, such as; enabling an understanding of the dynamism of a network through an established criteria of monitoring the levels of participation of the members, creating an explicit checklist of qualifications of this participation, such as the contributions of the participants, the limits of commitment and the available resources that must be shared and distributed, acknowledging the importance of relationships as fundamental to the success of any network., building a capacity for facilitative and shared leadership, tracing the changes that occur when the advocacy and lobbying activities of individuals are linked and using these individuals as participants who have the power to influence policy and development at various levels.[33] Finally, the recognition that utilizing the combined faculties of the network would aid in the effectuation of further change is vital to sustaining an active participation in the network.[34] It is common for networks to stagnate simply because of the lack of clarity on what a network really is or what it entails. There are significant misconceptions as to the activities engaged in by the network, such as the idea that a network "works solely as a resource center, to provide information, material and papers, rather than as forums for two way exchanges of information and experiences," contribute to the misunderstanding regarding the participation requirements within a network.[35] To facilitate an active, participatory function of learning, a network needs to be more than a resource center that seeks to meet the needs of beneficiaries. While meeting these needs is essential, development projects tend to obfuscate the benefit/input relationship within a network, thus significantly depleting its dynamism quotient. [36]

One method of moving away from the needs based model is to create a tripartite functionary, as was created within a particular research study. [37] This involves A Contributions Assessment, A Weaver's Triangle for Networks and An identification of channels of participation.

Contributions Assessment is an analysis of what the participants within a network are willing to contribute. It enables the network to assess what resources it has access to and how those resources may be distributes amongst the participants, multiplied or exchanged. [38] This system is predicated on a premise of assessing what participants have to offer as opposed to what they need. It challenges the long held notion of requiring an evaluation to identify problems, to address which recommendations are made and in fact seeks to focus on the moments of excellence and enable a discussion on the factors that contributed to these moments. [39] It thus places a value on the best of "what is" as opposed to trying to find a plausible "what ought to be". This approach allows participants to recognize that they are in fact the real "resource Centre" of the network and are encouraged act accordingly.

A Contributions Assessment may be practically incorporated through a few steps. It must be focused on the contributions, after a discussion on who the contributors may be. The aims of the network must be clarified, along with a specification of the contributions required such as perhaps newsletters, a conference, policy analysis etc. The members of the network must be clear on what they would like to contribute to the network and how such contribution might be delivered. Finally, the secretariat must be able to ideate or innovate on how it can enable more contributions from the networks in a more effective manner. [40]

The Weaver's Triangle has been adapted to be applies within networks and enables participants to understand what the aims and activities of the network are. It identifies the overall aim of the network and the change the network seeks to bring about to the status quo. It then lays out the objectives of the network in the form of specific statements about the said differences that the network seeks to bring about. Finally, the network would have to explain why a particular activity has been chosen. [41] The base of the triangle reflects the specific activities that the network seeks to engage in to achieve the said objectives. The triangle is further divided into two, to ensure that action aims and process aims have equal weightage; this allows for the facilitation of an exchange and a connection between the members of the network. [42]

The Circles of Participation is an idea that has been put forth by the Latin American and Caribbean Women's Health Network. (LACWHN). [43] This Network has three differentiated categories of membership, which it uses to determine the degree of commitment of an organization to the network. R- refers to the members who receive the women's health journal, P refers to members who actively participate in events and campaigns and who are advisors for specific topics. PP refers to the permanent participants within the network at national and international levels. They also receive a journal. This categorization allows the network to make an assessment of the dynamism and growth of a network, with members moving through the categories depending on their levels of participation. [44]

An important space for contributions to the network is the newsletter. This can be facilitated by allowing contributions from various sources, provided they meet the established quality checks, ensuring a balance between regions of origin of the members of the network, ensuring a balance between the policy and program activities of the members and keeping the centralized editorial process to a minimum. This is in keeping with the ideal of a decentralized system of expression that allows each member to retain its individuality while still contributing to the aims of the network. The Women's Global Network on Reproductive Rights (WGNRR) sought to create a similar system of publication to measure the success of their linkages, the levels of empowerment amongst members, in terms of strategizing and enabling localized action and the allocation of space in a fair and equitable manner. [45] Another Network, Creative Exchange customizes its information flow within the network so that each member only receives the information it expresses interest in.[46] This prevents the overburdening of members with unnecessary information.

The activities of the network which don't directly pass through the secretariat or the coordinator of the network can be monitored efficiently by keeping I close contact with new entrants to the network and capturing the essence of the activities that occur on the fringes of the network. This would allow an assessment of the diversity of the network. For example, Creative exchange sends out short follow up emails to determine the number and nature of contacts that have been made subsequent to a particular item in the newsletter. The UK Conflict Development and Peace Network (CODEP) records the newest subscribers to the network after every issue of their newsletter and AB Colombia sends out weekly news summaries electronically which are available for free to recipients who provide details of their professional engagements and why or how they wish to use these summaries. [47] This enables the mapping of the type of recipients the information reaches.

E. Leadership and Coordination

Sarason and Lorentz postulate four distinguishing characteristics that capture the creativity and expertise required by individuals leading and coordinating networks.[48] Knowledge of the territory or a broad understanding of the type of members, the resources available and the needs of the members is extremely important to facilitate an ideal environment of mutual trust and open dialogue between the members. Scanning the network for fluidity and assessing openings, making connections and innovating solutions would enable an efficient leadership that would contribute to the overall dynamism of the network. In addition to this, perceiving strengths and building on assets of existing resources would allow the network to capitalize on its strengths. Finally, the coordinators of a network must be a resource to all members of the network and thus enable them to create better and more efficient systems. They must therefore exercise their personal influence over members wherever required for the overall benefit of the network. Practically, a beneficial leadership would also require an inventive approach by providing fresh and interesting solutions to immediate problems. A sense of clarity, transparency and accountability would also encourage members of the network to participate more and engage with each other. It is important for the leadership within a network to deliver on expectations, while building consensus amongst its members.

A shared objective, a collaborative setting and a constant review of strategies is important to maintain linkages within a network. Responsible relationships underpinned by values and supported by flows of relevant information would allow an effective and fruitful analysis by those who are engaged within a network to do the relevant work. In addition to this, a respect for the autonomy of the network is essential.

F. Inclusion

Public policy networks are more often than not saturated with the economic and social elite from across the developed world. A network across the Global South would have to change this norm and extend its ambit of membership to grass root organizations, which might not have otherwise had the resources or the opportunity to be a part of a network.[49] Networks can achieve their long term goals only if they are driven by the willingness to include organizations from across economic demographics. This would ensure that their output is the result of a collaborative process that takes into account cross cultural norms and differentials across economic demographics.

The participation of diverse actors is reflective of the policy making processing having given due regard to on the ground realities and being sensitive towards the concerns of differently placed interest groups. Networks have been accused of catering only to the needs of industrial countries and subscribing to values of the global north thus stunting local development and enforcing double standards. This tarnishes the legitimacy of the processes inculcated within the network itself. It is therefore all the more essential that a network focused on the global south have a diverse collection of members from across backgrounds and economic contexts. Additionally, the accountability of the network to civil society is dependent on the nature of the links it maintains with the public. Inclusion thus fosters a sense of legitimacy and accountability. The inclusion of local institutions from the beginning would also increase the chances of the solutions provided by the network, being effectively implemented. Local inclusion affords a sense of responsibility and ensures that the network would remain sustainable in the long run. Allowing local stakeholders to take ownership of the network and participate in the formulation of policies, engage in planning and facilitate participation would enable an efficient addressing of significant public policy issues. [50] Thus networks would need to create avenues for participation of local institutions and civil society to engage in a democratic form of decision making.

III. Evaluation

The process of evaluation of a network is most efficiently effectuated through a checklist that has been formulated within a research study for the purpose of evaluating its own network. [51]

This checklist enumerates the various elements that have to be taken into consideration while evaluating the success of a network, as follows;

FIG 1.[52]

V. Learning and Recommendations

In order to facilitate the optimum working of a network several factors need to be taken into consideration and certain specific processes have to be incorporated into the regular functioning of the network. These are for example,

• Ensuring that the evaluation of the network occurs at periodic intervals with the requisite level of attention to detail and efficiency to enable an in depth recalibration of the functions and processes of the network. To this effect, evaluation specialists must be engaged not just at times of crises or instability but as accompaniments to the various processes undertaken by the network. This would enable a holistic development of the network.
• It is also important to understand the underlying values that define the unique nature of the network. The coordination of the network, its functions and its activities are intrinsically linked to these values and recognition of this element of the network would enable a greater functionality in the overall operation of the network.
• A strong relationship between the members of the network, predicated on trust and open dialogue is essential for its efficient functioning. This would allow the accumulation of innovative ideas and dynamic thought to direct the future activities of the network.
• The Secretariat or coordinator of the network must be able to engage the member in monitoring and evaluating the progress of the network. One method of enabling this coordination is through the institution of 'participant observer' methods at international conferences or meetings, which allow the members of the network to report back on the work that they have, which is linked to the work of other members.
• The autonomy of a network and its decentralized mechanism of functioning are integral to retain the individuality of its members, who seek to pursue institutional objectives. The members seek to facilitate creative thinking and share ideas and this must be supported by financial resources. A strong bond of trust between the members of a network is therefore essential to enable long term commitments and the flourishing of interpersonal communication between members.
• It is important that the subject area of operation of the network be comprehensively defined before the network comes into existence.
• As seen with the experience of Canadian Knowledge Networks, it is beneficial to be selective in inviting participant to the network and following a rigorous process of review and selection would ensure that only the best candidates are selected so as to facilitate effective partnerships with other networks, as a result of demonstrable expertise within a particular field.
• The management of a network must be disciplined, with clearly demarcated project deadlines and an optimum level of transparency and accountability. At the helm of leadership of every successful network, there has been intelligent, decisive and facilitative exchange, which is essential in securing a durable and potentially expandable space for the network to operate in.

A. Canadian Perspectives

A study of Canadian experiences was conducted by examining The Centers of Excellence and the Networks of Centers of Excellence (NCEs), which were funded through three Federal Granting Councils.[53] An initial observation that was made through the course of this study was that each network is intrinsically different and there is no uniform description which would fit all of them. The objectives of the Networks of Centers of Excellence Program are broadly, as follows; to encourage fundamental and applied research in fields which are critical to the economic development of Canada, to encourage the development and retention of world class scientists and engineers specializing in essential technologies, to manage multidisciplinary, cross sectoral national research programs which integrate stakeholder priorities through established partnerships and finally, to accelerate the exchange of research results within networks by accelerating technology transfers, made to users for social and economic development. [54] Extensive interviews carried out in the course of the research conducted by the ARA Consulting Group Inc. drew up particularly relevant conclusions with respect to the NCEs.

Firstly, they have been able to produce significant "cultural shifts" among the researchers associated with the network. This is attributed to the network facilitating a collaborative effort amongst researchers as opposed to their previous working, which was largely in isolation. The benefits of this collaboration have been identified as providing innovative ideas and leading the research itself in unprecedented directions. This has the effect of equipping Canada with the capability to compete on a global level with respect to its research endeavors. The culture shift has also allowed researchers to be more aware of the problems that plague industry and has instigated more in depth research into the development of the industrial sector. Government initiatives that have attempted to cohesively apply academic research to industry have had limited success. The NCE's however have managed to successfully disintegrate the barriers between these two seemingly disparate fields. This has resulted in a faster and more effective system of knowledge dissemination resulting in durable and self-sustaining economic development, which takes place at a faster rate. The NCE's have also been able to contribute to healthcare, wellness and overall sustainable development through their cross sectoral research approach, a model that can be used worldwide.

Another tangible effect has been that the relationship between industry and academic research is evolving into a positive and collaborative exchange, as opposed to the previous state which was largely isolationist, bordering on confrontational.[55] A possible cause of this is the increased representation of companies in the establishment of networks resulting in them influencing the course of research. This has not been met with any resistance from academic researchers who are driven by the imperative of an open publication. [56] Besides influencing the style of management, industrial representation has also brought about an increase in the level of private sector financial contributions made to NCEs. It is believed that these NCEs may even be able to support themselves in the next 7-8 years through the funding they receive from the commercialization of their research.

A third benefit that has emerged is the faster rate of production of new knowledge and innovative thinking. This is the result of collaborative techniques which is made more efficient through the use of modern technology. The increasing number of multi authored cross institutional scholarly publications made available by the NCE is evidentiary of this trend. The rate and quantity of technology transfers has also increased exponentially as a result of this. Knowledge networks also facilitate the mobilization of human resources and address cross disciplinary problems, resulting in an efficient and synergistic solutions. Their low cost, fast pace approach has been instrumental in constructing an understanding of and capacity to engage in sustainable development.

The significant contributions to sustainable development include the Canadian Genetic Diseases Network, which has discovered two specific genes that cause early onset Alzheimer's disease. The Sustainable Forest Management Network has claimed that its research does have a considerable level of influence on the industrial approach to sustainability. The Canadian Bacterial Disease Network conducts research on bacterially caused diseases which are mostly prevalent in developing countries, with a view to produce antibiotics and vaccines that may be able to successfully combat these vaccines. TeleLearning, another such network is working on the creation of software environments which will form the basis of technology based education in the future. [57] The greatest advantage of these knowledge networks is that they have been able to surpass traditional disciplinary barriers and have emerged at the forefront of interdisciplinary articulation, which is emerging as the path to breakthroughs in the fields of applied sciences and technology in the future. The NCE's have also been able to provide diverse working environments for graduate students, where they have been able to work under scientists associated with different specializations and across different departments. They have also been able to interact with government and industry representatives, giving them a far greater exposure of the field and equipping them to avail of a wide range of employment opportunities.

The corporate style of management incorporated within the NCEs encourages a sense of discipline and an enthusiasm for innovation. The Board of Directors at NCE's take on a perfunctory role and function as a typical corporate board. Researchers are therefore required to provide regular reports and meet deadlines to achieve predetermined goals that have been agreed upon. The new paradigm of sustainable development and the fluid transfer of knowledge requires this structure of management, even within a previously strictly academically oriented environment. NCEs have been incorporated as non-profit corporation for largely legal reasons such as the ownership of intellectual property.

The participation to these networks is restricted and is open only through an invitation, in the form of a submission of project proposals under a particular theme, with the final selection being made subject to a rigorous process of evaluation. This encourages the participants of the network to embody a degree of discipline and carry out their activities in a constructive, time bound manner.

B. Perceived Challenges

These knowledge networks, although extremely beneficial in the long run, do have certain specific issues that need to be addressed. Firstly, most formal knowledge networks do not have a formalized communication strategy. While they do make use of various forms of telecommunication, this communication is is no way formally directed or specific. Although some networks have managed to set up a directed communications strategy, supplemented by the involvement of specifically communications based networks (such as CANARIE) , there is still a long way to go in this area.

As is evident with most academic endeavors in recent years, efficient and sustained development both in terms of economy as well as self-sustenance, requires a smooth transitioning to a close collaboration with the industry. Although the NCE's have made progress in this area, a lesson that can be learnt from this is that knowledge networks do require a collaborative arrangement between researchers, the industry and the financial sector. [58] The nature of this collaboration cannot be predicted before tangible research outputs are developed that reflect the relevance of academia in the industrial and financial sectors. A particular network, PENCE has mandated that the boards of directors include a representative of the financial sector. This is a step forward in opening the doors to greater collaboration and mutually assured growth and sustainable development in both academia as well as the industrial and financial sectors.

As with all knowledge networks there is a continuous need for expansion of the focus areas to cover more fields and instigate research in neglected areas. The largest number of networks has been in the fields of healthcare and health associated work. However there is an impending need for networks to be established in other fields as well, such as those related to environmental issues, social dynamics and the general quality of life. [59]

The Canadian experience has resulted in a nuanced understanding of specific actions that need to be taken to strengthen knowledge networks across the spectrum. Firstly, there is an impending need to build new knowledge networks, which would be required to strengthen institutions upon which the networks are based. These include universities and research institutions, which have been weakened both financially and academically over the past few years. The NCE Program, on the face of it, seems to be strengthening universities, by attracting funding for research endeavors that would otherwise not be available to them. While this may be true, it tends to obfuscate the true nature of a university as an intellectual community, by portraying it as a funding source for research and equipment.[60] The deteriorating role of the university in fostering research and laying the foundation of an intellectual community can be reversed by the competition posed by the NCEs which tend to threaten its stature in the fields of multi-disciplinary and graduate institution. Another aspect that needs to be considered is the role of knowledge networks in fostering sustainable development not only on a national or regional scale but on a global level. This can be effectuated by allowing the amalgamation of the academia and industry through ample representation, a model that has proven to be effective within the NCEs. This is all the more relevant today where multinational corporations hold considerable sway over the global economy, so much so that the role of governments in regulating this economy is gradually decreasing. Multilateral investment treaties and agreements are reflective of this.

The final issue is that of the long standing debate between public good and proprietary knowledge. Canadian knowledge networks are of the opinion that knowledge must be freely disseminated. However, certain networks including the NCEs grant the exclusive right of the development and application of this knowledge to specific industry affiliates. On one hand this facilitates further investment into the research, which creates better products, new jobs and further social development. This is predicated on a fine balance of allowing this development without widening the already disparate socio-economic gaps that exist between developed and developing countries. Thus the balance between public good and propriety knowledge must be effectively managed by the regulatory role discharged by the governments and the decision making faculties of these knowledge networks. [61]

Establishing international linkages across networks based within different regions across the world would also be an effective means of ensuring effective partnerships and the creation of a new, self-sustaining structure. This would bring new prospects of funding into sustainable development activities and engage industrial affiliates with international development activities.

C. Donor Perspectives

The International Development Research Centre, based in Canada has also been instrumental in the setting up of support structures for networks. The IDRC has remained consistent in its emphasis of networks as mechanisms of linking scientists engaged in similar problems across the globe instead of as mechanisms to fund research in countries. This has afforded the IDRC with a greater level of flexibility in responding to the needs of developing countries as well as responding to the financial pressures within Canada to deliver superior technical support with a reduction in overheads. The IDRC sees networking an indispensable aspect of scientific pursuit and technological adaptation in the most effective manner. It is currently supporting four specific types of networks; horizontal networks which link together institutions with similar areas of specialization, vertical networks which work on disparate aspects of the same problem of different but interrelated problems, information networks which provide a centralized form of information service to members, which enables them to exchange information in the manner necessary and finally training networks which provide supervisory services to independent participants within the network.[62]

(I) Internal Evaluations

There is an outstanding need to monitor visits that are undertaken by the coordinator or the specific representatives of the member or donor as applicable. This would expedite the process of identifying problems and aid in deriving tangible solutions in an efficient manner. The criteria for the assessment would vary depending on the goals of the organization. Donors may pose questions with respect to the cost effectiveness of a particular pattern of research and may seek a formal report regarding this aspect. A more extensive model of donor evaluations may even include assessments with respect to the monitoring and coordination of specific functions.

(II) External Evaluations

A system of external evaluation would be useful with assessing data with respect to the operations of programs and their objectives. This would engage newer participants by injecting newer ideas and insights into the management and scope of the network. The most extensive method of network evaluation was one that was postulated by Valverde [63] and reviewed by Faris [64]. It aimed to draw an analysis of particular constraints and specific elements that would influence the execution of network programs. This method identifies a list of threats, opportunities, strengths and weaknesses which would inform future recommendations. The Valverde method makes use of both formal as well as informal data which is varied depending on the type of network and the management structure it employs.[65]

(III) Financial Viability

A network almost always requires external resources to aid in the setting up and coordination of its activities. Donor agencies must recognize the long term commitment that is required in this respect. It is therefore essential that the period for which this funding will be made available be clarified at the outset, to leave agencies with ample time to plan for the possibility of cessation of external financial support. [66] As concluded from the findings of the research study, although most networks are offered external support, it is primarily technology transfer and information networks that have been able to generate the bulk of funding in this respect. They have been able to obtain this financial assistance from a variety of sources including participating organizations as well as governments. [67] The funding for purely research networks however are inconsistent and the networks would have to plan in advance for a possible cessation of financial support.[68]

(IV) Adaptability

From the perspective of donors, the degree of adaptability and level of responsiveness of a particular network is especially relevant in assessing the coordination, control and leadership of a particular network. A network that is plagued by ineffective leadership and the lack of coordination is unable to adapt to changing circumstances and meet the needs of its participants. A combination of collaborative effort, a localized approach and far-sighted leadership instills in the participants of the network a sense of comfort in its processes and in the donors a faith in its ability to address topical issues and remain relevant.

(V) The Exchange of Information

As noted by Akhtar, a network is created to respond to the growing need to improve channels of information exchange and communication. [69] Information needs to be tailored to suit its users and must be disseminated accordingly. The study conducted has concluded that information networks that are engaged in the transfer of technology are inefficient in disseminating internally derived information and recognizing the needs of their users.[70] Given that these networks are especially user oriented this systemic failure is extremely problematic. There is also a need to review the mechanism of transferring strategic research techniques and the approaches employed in dealing with developing countries. Special attention must be paid to the beneficiaries of a particular network so that the research conducted is directed towards that particular demographic. This is especially relevant for information networks, which from the evaluation; appear to be generating data but not considering who would be using these services.[71]

(VI) Capacity Building

Facilitating the training of individuals both on a formal and informal level has led to an enhance level of research and reporting, as well as the designing of projects. There is however a need to tailor this training to suit the needs of the participants of a particular network. Networks which have been able to provide inputs which are not ordinarily locally provided have instigated the establishment of national and regional institutions. [72]

(VII) Cost Effectiveness

It is important to note however that networks need to employ the most cost effective mechanism of delivering support services to national programs. A network must work in a manner that allows for enough individual enterprise but at the same time follows a collaborative model to generate more effective and relevant research within a short span of time and through the utilization of minimum resources. The Caribbean Technology Consultation Services (CTCS) for example was found to be far more cost effective and in fact 50% cheaper than the services of the United Nations Industrial Development Organization. [73] Similarly, the evaluators of the LAAN found that funding a network was significantly cheaper than finding individual research projects.[74]