Centre for Internet and Society

Digital Knowledge - Posts

sumandro — 2019-03-16T05:24:24Z

For more details visit https://cis-india.org/raw/digital-knowledge-posts

Manuel Beltrán - Institute of Human Obsolescence - Cartographies of Dispossession

sumandro — 2019-04-01T08:00:05Z

Join us at the Delhi office of CIS on Thursday, April 4, at 5 pm for a talk by Manuel Beltrán, founder of the Institute of Human Obsolescence (IoHO), which explores the future of labour and the changing relationship between humans and machine. Cartographies of Dispossession (CoD), their current project at IoHO, explores the forms of systematic data dispossession that different humans are subject to, and investigates how data becomes both the means of production as much as the means of governance.

Image credit: Manuel Beltrán

Institute of Human Obsolescence - Cartographies of Dispossession

The Institute of Human Obsolescence (IoHO) explores the future of labour and the changing relationship between humans and machine. Our work develops from a scenario in which forms of manual and intellectual labour traditionally performed by humans are increasingly automated by new technologies. In this context we investigate and challenge the socio-political and economic implications of new forms of labour, such as the production of data. The IoHO developed several projects exploring the production of data as a form of labour, as a different paradigm through which to interrogate and challenge dynamics of ownership over the production of data and the economic and governance objects emerging through it. Previous lines of inquiry around the framework of Data Labour Rights include Data Basic Income, Data Cooperative, Data Production Labour series, Investigative Discussion Sessions and Data Workers Union.

In this talk founder of the IoHO Manuel Beltrán, will introduce the work of the IoHO and discuss their current project Cartographies of Dispossession (CoD). CoD explores the forms of systematic data dispossession that different humans are subject to, and investigates how data becomes both the means of production as much as the means of governance. The project looks at the implications of how the dispossession of data unequally occurs in different contexts, through different means and for different purposes.

Instruments such as the Right Of Access provided by GDPR emerge from a European context but the flows of data operate in a transnational scale. We are exploring the potential and limits of this instrument in combination with others such as the Right To Information in India as tools to investigate and repossess our production of data across borders. We are particularly interested in feedback and discussing in how to think further about this last part.

Manuel Beltrán

Manuel is an artist and activist. He researches and lectures on contemporary art, activism, contemporary social movements, post-digital culture and new media. As an activist, he was involved in the Indignados movement in Spain, the Gezi Park protests in Turkey and several forms of independent activism and cyber-activism in Europe and beyond. In 2012 he co-founded the art collective Plastic Crowds and since 2013 he is head and co-founder of the nomadic school and artistic organization Alternative Learning Tank. In 2015 he founded the Institute of Human Obsolescence, through which he explores the future of labour, the social and political implications regarding our relationship with technology and the economic and governance systems surrounding the production of data.

http://speculative.capital

https://dataworkers.org

For more details visit https://cis-india.org/raw/manuel-beltran-ioho-cartographies-of-dispossession

Manuel Beltrán - IoHO

sumandro — 2019-04-01T06:06:42Z

For more details visit https://cis-india.org/ManuelBeltran_IoHO.jpg

Mrutyunjay Mishra - India Online: Measuring, Understanding, and Making Decisions about Internet in India (Delhi, September 01, 6 pm)

sumandro — 2017-08-29T10:18:51Z

With great pleasure we announce that Mrutyunjay Mishra, co-founder of Juxt-SmartMandate and India Open Data Association, will be the speaker for the September #FirstFriday event at the CIS office in Delhi. Mrutyunjay is a recognised expert in data-driven decision-making and a leading commentator on Indian consumer behaviour. His talk will focus on the evolution of measurement of users and activities in the Indian telecommunication and online market sectors, and will highlight the critical challenges and opportunities faced by public and private entities in reliably and timely measuring, understanding, and making commercial and policy decisions about 'India Online'. If you are joining us, please RSVP at the soonest as we have only limited space in our office.

Mrutyunjay Mishra

Co-founder, Juxt-SmartMandate, and co-founder, India Open Data Association

Mrutyunjay is a recognised expert in data-driven decision-making and a leading commentator on Indian consumer behaviour. At Juxt Smart Mandate he oversees key account management, custom solution development, new product development, alliances, and ready-to-go market initiatives.

In his career spanning more than 20+ years, Mrutyunjay co-founded JuxtConsult and successfully merged it with Smart Mandate. Prior to that, he worked in a number of leading organisations including IMRB International (Kantar, WPP), IDC India (IDG Group), Convergys India Services, Annik Systems (Quatrro) and ASHA (a rural development NGO).

At various points in his career, he headed large volume data analytics, consumer research, strategic business research, quality projects, usability studies and change management projects. He has had considerable exposure to projects in a diversity of domains – ICT, media, Banking, Financial Services and Insurance (BFSI), fast-moving consumer goods (FMCG), pharma, healthcare, consultancy services, government, social development and public administration. He boasts functional consulting experience in implementing dashboards and reporting solutions in enterprise resource planning (ERP) environments.

He is involved in other compelling initiatives around analytics-driven health solutions, learning over education, digital marketing, and sustainable livelihood. He is the founding member of Centre for Marketing in Emerging Economies (CMEE) at IIM, Lucknow, an academic initiative to produce original research and attract collaboration for marketing theory creation. He is also the founding member of two other open sandbox projects, India Open Data Association (IODA) a non-profit company ‘to create, incubate, support and promote sustainable open data projects’ and Janwaar Castle Community Organisation (JCCO), a unique ‘initiative around learning over education and sustainable livelihood’.

He spent his formative years in Sambalpur (a small town in Odisha) University Campus, where his father was a professor. He is a graduate in commerce and a postgraduate in advertising and marketing. He loves dogs, likes reading, is a movie buff, collects stamps and matchboxes, enjoys being a weekend cook and likes travelling.

Twiter: @M2Od

RSVP

Location

For more details visit https://cis-india.org/raw/firstfridayatcis-mrutyunjay-mishra-india-online-measuring-understanding-and-making-decisions-about-internet-in-india-delhi-sep-01

MediaNama - #NAMAprivacy: The Future of User Data (Delhi, Sep 6)

sumandro — 2017-09-05T10:22:12Z

MediaNama is hosting a full day conference on "the future of user data in India", on the 6th of September 2017, which is particularly significant given the recent Supreme Court ruling on the fundamental right to privacy, and two government consultations: one at the TRAI, and another at MEITY. This discussion is supported by Facebook, Google, and Microsoft. Sumandro Chattapadhyay, Research Director, will participate as a speaker in the session titled "regulating storage, sharing and transfer of data."

Details

Time: September 6th 2017, 9 am to 4:30 pm

Venue: Gulmohar Hall, India Habitat Centre, Lodhi Road (please enter from Gate #3)

Agenda: https://www.medianama.com/2017/08/223-agenda-namaprivacy-future-of-user-data/

Announced Speakers

Chinmayi Arun, Centre for Communication Governance at NLU Delhi
Malavika Raghavan, IFMR Finance Foundation
Renuka Sane, NIPFP
Smitha Krishna Prasad, Centre for Communication Governance at NLU Delhi
Ananth Padmanabhan, Carnegie India
Avinash Ramachandra, Amazon
Hitesh Oberoi, Naukri
Jochai Ben-Avie, Mozilla
Mrinal Sinha, Mobikwik
Murari Sreedharan, Bankbazaar
Sumandro Chattapadhyay, Centre for Internet and Society

Facilitators

Saikat Datta, Asia Times Online
Shashidar KJ, MediaNama
Nikhil Pahwa, MediaNama

Attendees

We have confirmed 140+ attendees from: Adobe, Amber Health, Amazon, APCO Worldwide, Bank Bazaar, Bloomberg-Quint, Blume Ventures, Broadband India Forum, Business Standard, BuzzFeed News, CCOAI, CEIP, Change Alliance, Chase India, CIS, CNN News18, DEF, Deloitte, DNA, DSCI, E2E Networks, British High Commission, Eurus Network Services, FICCI, Firefly Networks, Flipkart, Forrester Research, Fortumo, DoT, MEITY, IAMAI, IBM, ICRIER, IFMR Finance Foundation, IIMC, Indian Law Institute, Indic Project, Info Edge, ISPAI, IT for Change, ITU-APT, Jamia Millia Islamia, Jindal Global Law School, Mimir Technologies, Mozilla, Newslaundry, NIPFP, Nishith Desai Associates, NIXI, NLU-Delhi, ORF, Paytm, PLR Chambers, PRS Legislative Research, Publicis Groupe, Quartz India, Reliance Jio, Reuters, Saikrishna & Associates, Scroll.in, SFLC.in, Spectranet, The Economics Times, The Indian Express, The Times of India, The Wire, Times Internet, Twitter, and more.

For more details visit https://cis-india.org/internet-governance/news/medianama-namaprivacy-the-future-of-user-data-delhi-sep-6

Praja - Enhancing Democracy Through Access to Open Data: What Are the Roles of Government and Civil Society? (Delhi, Sep 08)

sumandro — 2017-09-05T10:57:38Z

Open Government Data (OGD) is widely seen to be a key hallmark of contemporary democratic practice and is often linked to the passing of freedom of information legislation. OGD is a philosophy—and increasingly a set of policies—that promotes transparency, accountability and value creation by making government data available to all. Public bodies produce and commission huge quantities of data and information. By making their datasets available, public institutions become more transparent and accountable to citizens. By encouraging the use, reuse and free distribution of datasets, governments promote business creation and innovative, citizen-centric services. Praja is organising a symposium on "open data and civil society" on Friday, Sep 8, which is supported by European Union and Friedrich Naumann Stiftung fur die Freiheit. Sumandro Chattapadhyay (Research Director) will take part in this event as a speaker in the session on "data centric approach and role of stakeholders in the urban governance ecosystem."

Details

Date: Friday, September 08 2017, 9:30 am - 5:00 pm

Venue: Juniper Hall, India Habitat Centre (Entry from Gate 1)

Invitees: Government representatives, elected representatives, civil society organisation and media representatives.

Event Page: Facebook

Objectives

To study the intersectionality between transparency, accountability and consumption of data by stakeholders.
To explore opportunities for the civil society to simplify governance through access to data, privacy of stakeholders and to address challenges faced in data collection and analysis.

Outcomes

The takeaway from the seminar should be to develop the idea of achieving data literacy. The presenters after a detailed interaction should take away the following from the event:

Reflections on the use of Internet and technology as tools for better governance
Balance the development of open data and the strategies to use this data in terms of ownership and replication of data
Identify data sets which should be prioritised for release in order to maximise public value
Data Accessibility: Capitalize on the demand for democracy and transparency by making open data more accessible to the larger public

Sessions

Through sessions, the aim is to specifically investigate the role of civil society and media in this effort. The participants will deliberate on the above-mentioned objectives of the seminar.

Session I: Praja Foundation Website Launch

Session II: Data centric approach and role of stakeholders in the urban governance ecosystem

Session III: Open data-experiences; trends, challenges and opportunities, relationship between governance and data

For more details visit https://cis-india.org/openness/news/praja-enhancing-democracy-through-access-to-open-data-what-are-the-roles-of-government-and-civil-society-delhi-sep-08

CBGA - Consultation on Opening Up Access to Budget Data in India (Delhi, January 27)

sumandro — 2017-01-27T05:45:30Z

Open Budgets India, a comprehensive and user-friendly open data portal to provide free, easy, and timely access to relevant data on budgets, has been developed by the Centre for Budget and Governance Accountability (CBGA) in collaboration with a number of other organisations. CBGA is organising a Consultation on “Opening Up the Access to Budget Data in India” on Friday, January 27, 2017, to launch the beta version of the portal. Sumandro Chattapadhyay will be a speaker in the panel discussion that will follow the launch.

Venue and time: Juniper Hall, India Habitat Centre (IHC), Lodhi Road, New Delhi, 1:30 pm to 5:00 pm

Event details: Link (External)

Event agenda: Download (PDF)

For more details visit https://cis-india.org/openness/news/cbga-consultation-on-opening-up-access-to-budget-data-in-india-delhi-jan-27-2017

Monitoring Sustainable Development Goals in India: Availability and Openness of Data (Part II)

sumandro — 2016-04-12T04:14:27Z

The Sustainable Development Goals (SDGs) are an internationally agreed upon set of developmental targets to be achieved by 2030. There are 17 SDGs with 169 targets, and each target is mapped to one or more indicators as a measure of evaluation. In this and the next blog post, Kiran AB is documenting the availability and openness of data sets in India that are relevant for monitoring the targets under the SDGs. This post offers the findings for the last 10 Goals. The first 7 has already been discussed in the earlier post.

The first part of the post can be accessed here.

Goal #08: Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all

There are fourteen indicators to monitor the goal 8 and the data is available for all the indicators mapped to their respective targets. For most of the indicators, the data availability is not what the indicator demands, but has to be derived from the available dataset.

The data can be accessed freely in the public domain for all the indicators. However, for the subparts in some of the indicators, the data is not accessible freely. There is a cross agency dependency over the data, to arrive at the required indicator.

Data is collected annually for most of the indicators, while the indicators, viz., Indicator 8.3.1.: Share of informal employment in non-agriculture employment by sex; Indicator 8.5.2: Unemployment rate by sex, age-group and persons with disabilities, which are measured by the Census or the planning commission the frequency of data collection becomes decennial or quinquennial. And the Indicator 8.8.2 : Number of ILO conventions ratified by type of convention, which lists the number of conventions the frequency cannot be determined as it's just a list updated whenever there is a ratification of any ILO conventions. Some of the available data are restricted to particular years and most of them are not till date.

Two indicators, i.e., Indicator 8.5.2 and Indicator 8.10.1: Number of commercial bank branches and ATMs per 100,000 adults, which are measured at the level of districts, whereas Indicator 8.7.1: Percentage and number of children aged 5-17 years engaged in child labour, per sex and age group; Indicator 8.8.1: Frequency rates of fatal and non-fatal occupational injuries by sex and migrant status, are measured at the state level. The remaining are measured only at the national level.

Most of the data are collected from the international organisations like ILO, UNEP, UNWTO, etc., from whose source the data are not updated regularly. There is also a need to disaggregate according to the indicator.

Goal #09: Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

When development is through industrialization, sustainable and inclusiveness should be the necessary conditions to attain it. Having said this, the data is available for all the indicators, i.e., twelve indicators, corresponding to the targets as defined for the goal 9. For most of the indicators, the data have to be derived for the required measure to monitor the goal.

From among these indicators, the data is collected annually for most of the indicators, while for the two indicators, Indicator 9.3.1: Percentage share of small scale industries in total industry value added; Indicator 9.3.2: Percentage of small scale industries with a loan or line of credit, the frequency of data collection is once in five years.

Excluding two indicators, i.e., Indicator 9.2.2: Manufacturing employment as a percentage of total employment; Indicator 9.1.1: Share of the rural population who live within 2km of an all season road, for which the data is available at the state level and district level respectively, for the remaining indicators the data is available only at the national level.

The data pertaining to eleven indicators are freely accessible in the public domain, however, for the Indicator 9.b.1: Percentage share of medium and high-tech (MHT) industry value added in total value added, the data is not freely accessible. Most of the freely available data are obtained from the international organisations, along with the official data from the government in India.

Goal #10: Reduce inequality within and among countries

Bridging the gap between the global north-south divide through co-operation – social, economical, political, etc., would promote equality. There are twelve indicators for measuring this goal, of which the data is not available for one of the indicators and are available for the remaining indicators.

From the data available, for six of the indicators the data is accessible freely in the public domain, whereas for the five of the indicators – Indicator 10.2.1; Indicator 10.3.1; Indicator 10.4.1; Indicator 10.7.3; Indicator 10.a.1, the data is closed.

Most of the data available are of the national level and for the Indicator 10.7.3: Number of detected and non-detected victims of human trafficking per 100,000, the data includes from the states as well. However, since the goal refers to inequalities within the country as well, the granularity of the data should have been from the state/district level as well.

And, the frequency of data collected are annually for some of the indicators and for some the details cannot be determined or not valid. For most of the indicators the data has to be derived from the available dataset and disaggregated as needed. Also, for some indicators the data is partially available.

Data Not Available:

Indicator 10.7.1: Recruitment cost borne by employee as percentage of yearly income earned in country of destination

Goal #11: Make cities and human settlements inclusive, safe, resilient and sustainable

Housing and the type of settlements determines the human development and the progress of development of a nation. Therefore for monitoring the goal 11 is implicit to human development. There are thirteen indicators to monitor this goal and out of which the data is available for ten indicators and for the three indicators the data is not available.

For three of the indicators the available data is not freely accessible, while for the remaining ones the data is accessible. And for most of the indicators the data has to be derived as needed.

The data is collected annually for most of the indicators and quinquennially for the Indicator 11.5.1, and for some data the data pertains to particular year and there lacks a sequence of data availability.

For four of the indicators – Indicator 11.2.1; Indicator 11.3.1; Indicator 11.6.1; Indicator 11.a.1, the data is available at the state/city level along with national level. And for the remaining indicators the data is available at the national level alone. Also, some of the data are not up-to-date and refers to data more than 3 or years old.

Data Not Available:

Indicator 11.3.2: Percentage of cities with direct participation structure of civil society in urban planning and management, which operate regularly and democratically
Indicator 11.7.1: The average share of the built-up areas of cities that is open space in public use for all, disaggregated by age, sex, and persons with disabilities
Indicator 11.b.1: Percentage of cities implementing risk reduction and resilience strategies aligned with accepted international frameworks (such as the successor to the Hyogo Framework for Action on Disaster Risk Reduction) that include vulnerable and marginalised groups in their design, implementation and monitoring

Goal #12: Ensure sustainable consumption and production patterns

Production and consumption should go hand in hand, but over consumption or over production would only lead to destruction of the environment. Therefore goal 12 seeks to ensure a sustainability in both. The data is available for ten indicators out of twelve indicators, and for the two indicators the data is not available, so as to monitor the respective goals. Some of the data are partially available and using the available data the indicators can be derived.

Moreover, the data for six of the indicators which are available are freely accessible in the public domain whereas for the remaining four indicators – Indicator 12.4.1; Indicator 12.4.2; Indicator 12.5.1; Indicator 12.b.1, the data is not open.

While for most of the indicators say, Indicator 12.2.1; Indicator 12.3.1; Indicator 12.5.1; Indicator 12.a.1; Indicator 12.c.1, the data is collected annually, whereas for the others, the data which are available are for particular years or cannot be determined. Except for the Indicator 12.5.1, for which the data is available at the city level, the data for the remaining are of the national order. The data is collected from both the national institutions, ministries and also from the international organisations.

Data Not Available:

Indicator 12.1.1: Number of countries with SCP National Actions Plans or SCP mainstreamed as a priority or target into national policies.
Indicator 12.8.1: Percentage of educational institutions with formal and informal education curricula on sustainable development and lifestyle topics

Goal #13: Take urgent action to combat climate change and its impacts

The impact of climate change is severe, therefore taking an urgent action ensures could reduce the impact. The data is available for four of the indicators out of five, and for one of indicators the data is not available.

The data for three indicators are freely accessible in the public domain, whereas for the Indicator 13.3.1: Number of countries that have integrated mitigation, adaptation, impact reduction and early warning into primary, secondary and tertiary curricula, the data is not open and also not specific to the indicator. The data for some of the indicators are partially available and have to be derived.

The frequency of the data is not uniform and cannot be determined, by the virtue of the indicator itself. For example, the occurrence of a disaster event is random. However, for some of the indicators the reporting is either annual or quadrennial.

The data availability is at the national level and in case of the Indicator 13.3.1., the data is available for two states – Orissa and Tamil Nadu. Data for almost all the indicators are obtained from international organizations and very less data availability from the national databases.

Data Not Available:

Indicator 13.2.1.: Number of countries that have formally communicated the establishment of integrated low-carbon, climate-resilient, disaster risk reduction development strategies

Goal #14: Conserve and sustainably use the oceans, seas and marine resources for sustainable development

Oceans are the torchbearers for all the countries. Therefore everything related to oceans, seas and marine resources have an impact on the human life. There are ten indicators corresponding to the targets, of which the data is available for nine indicators and for one indicator the data is not available. The data for some of the indicators are not direct, but need to be derived, while for some indicators the data is partially available. To derive some indicators we need to rely on cross agency data.

For the Indicator 14.a.1: Budget allocation to research in the field of marine technology as a percentage of total budget to research, the data on budgetary allocation doesn't specify to marine technology.

The frequency of data collected for most of the indicators are not available or cannot be determined or not applicable, whereas for some the data is collected annually. And for most of the indicators the data is available at the national level and for the Indicator 14.5.1: Coverage of protected areas in relation to marine areas, the data is available for the states also.

Data Not Available:

Indicator 14.6.1: Dollar value of negative fishery subsidies against 2015 baseline

Goal #15: Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss

This goal on restoring, promoting ecosystem and stopping biodiversity loss, etc., has fifteen indicators mapped to twelve corresponding targets. Of which, the data is available for fourteen of the indicators and the data is not available for the one of the indicators. Data for some of the indicators exist partially and for some the data has to be derived to match the indicators. To arrive at the indicators, the data has to be derived from different datasets available.

Most of the data which are available are closed and only five are accessible in the public platform – Indicator 15.1.1 : Forest area as a percentage of total land area; Indicator 15.4.2: Mountain Green Cover Index; Indicator 15.8.1: Adoption of national legislation relevant to the prevention or control of invasive alien species; Indicator 15.9.1: Number of national development plans and processes integrating biodiversity and ecosystem services values; Indicator 15.a.1: Official development assistance and public expenditure on conservation and sustainable use of biodiversity and ecosystems.

The frequency of data collected is not available or cannot be determined for majority of the indicators, while the data is annually collected for the ones which can be determined. Furthermore, the data is available at the national level for all the indicators, except the Indicator 15.b.1: Forestry official development assistance and forestry FDI, for which the data is available at the level of states as well.

The data available are collected by international organisations like OECD, FAO, Convention on Biological Diversity, etc., as well as by the national institutions and ministries like Planning Commission, Ministry of Environment, Forest and Climate Change, etc.

Data Not Available:

Indicator 15.2.2: Net permanent forest loss

Goal #16: Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels

A society which is inclusive, peaceful, provides justice and accountable in all its forms would ensure sustainable development, therefore to promote the aforementioned parameters one has to monitor them through an established measure. There are twenty-one indicators for this goal mapped to the respective targets and out of which the data is not available for five indicators to monitor the goal. From the available dataset, the values need to be derived for some of the indicators and for some indicators the data is directly/partially available.

From among the data which are available, for nine indicators the data is not freely accessible in the public platform, while the remaining six data set are open to access. They are available both from national and international agencies and most of the data are not up to the date.

The data which are available are collected/reported annually. And, excluding four indicators. i.e.; Indicator 16.1.3, Indicator 16.3.1, Indicator 16.4.2, Indicator 16.b.1, the data is available at the state level, while for the remaining indicators the data is available only at the national level. Most of the indicators require data from past 12 months, but the available dataset does not cater the needs, as they are not updated regularly. Finally, the indicators seeks disaggregated data for monitoring the goal.

Data Not Available:

Indicator 16.1.4: Proportion of people that feel safe walking alone around the area they live
Indicator 16.2.3. Percentage of young women and men aged 18-24 years who experienced sexual violence by age 18
Indicator 16.6.2: Percentage of population satisfied with their last experience of public services
Indicator 16.7.2: Proportion of countries that address young people's multisectoral needs with their national development plans and poverty reduction strategies
Indicator 16.a.1: Percentage of victims who report physical and/or sexual crime to law enforcement agencies during past 12 months disaggregated by age, sex, region and population group

Goal #17: Strengthen the means of implementation and revitalize the global partnership for sustainable development

Moving towards achieving SDGs in the global scenario requires support – financial, technological, etc. This support can be strengthened the relationship between the developing and the developed countries. There are twenty-four indicators to monitor the goal 17, out of which the data is available for twenty-three of the indicators and for one of the indicators the data does not exist.

The data which are available are direct as per the indicators, whereas for most of the indicators the data need to be derived. Data is partially available for the Indicator 17.16.1: Indicator 7 from Global Partnership Monitoring Exercise: Mutual accountability among development co-operation actors is strengthened through inclusive reviews.

From the data available for twenty-three indicators, fourteen of the data set are freely accessible and the nine are not open. Also, some of the data which are open are not up to date or the latest data is not open.

The data is collected annually for most of the indicators and for some the data is available for particular year. Also for some of the indicators like Indicator 17.5.1: Number of national & investment policy reforms adopted that incorporate sustainable development objectives or safeguards x country; Indicator 17.6.1: Access to patent information and use of the international intellectual property (IP) system; Indicator 17.18.2: Number of countries that have national statistical legislation that complies with the Fundamental Principles of Official statistics, the frequency cannot be determined or not valid.

Since this indicator speaks at the national level, the granularity of the data pertains to the nation. Most of the data are obtained from the international organisations say UN, World Bank, IMF, OECD, etc., and some are from the national institutions/ministries like Planning Commission, Finance Ministry, etc.

Data Not Available:

Indicator 17.17.1: Amount of US$ committed to public-private partnerships and civil society partnerships

Conclusion

Decision making depends on data, a data should be representative, with high quality and has to be timely collected, which ensures precise assessment of the decision being made. From the analysis it was found that, most of the data which are available are either not freely accessible, outdated and not precise to the need. Most of the SDG indicators are based on disaggregation. The disaggregation is a key to measure to the precision, especially incidences like poverty, food security, health, etc. Therefore, to monitor different parameters we need to identify the different levels prevailing in the parameter to ensure inclusivity.

Said above, the frequency of data collection is either annual, quinquennial and decennial. To enable real time evaluation, the data should be up-to-date. Moreover, for most of the indicators the data availability is at the national level or at the state level and sometimes at the district level. The granularity of data ensures geographic inclusiveness.

In a country like India for close monitoring of progress/development of any sort the data availability should be;

at a granular level of district/block,
collected and updated regularly,
disaggregated by age, sex, and also by social group, and
the data should be open to be able to access in the public domain freely.

Open data will be a crucial tool for governments to meet the transparency and efficiency challenges. For this reason, government data should be open – freely accessible, presented in a format that is comparable and reusable and, ideally, released in a timely manner.

Author

Kiran A B, is a student of Master of Public Policy (MPP) at the National Law School of India University, Bengaluru. Kiran has an undergraduate degree in electronics and communications engineering, and he has three years full-time work experience as a software engineer, working in different technological platforms. His research interest includes interdisciplinary linkages between policy, law and technology.

For more details visit https://cis-india.org/openness/monitoring-sustainable-development-goals-in-india-availability-and-openness-02

Research Symposium on Transitions in Cultural and Creative Industries in India - Programme (2018)

sumandro — 2018-02-24T05:05:52Z

For more details visit https://cis-india.org/raw/files/research-symposium-on-transitions-in-cultural-and-creative-industries-in-india-programme-2018

On World Water Day - Open Data for Water Resources

sumandro — 2019-01-28T14:41:51Z

Lack of open data for researchers and activists is a key barrier against ensuring access to water and planning for sustainable management of water resources. In a collaboration between DataMeet and CIS, supported by Arghyam, we are exploring the early steps for making open data and tools to plan for water resources accessible to all. To celebrate the World Water Day 2018, we are sharing what we have been working on in the past few months - a paper on open data for water studies in India, and a web app to make open water data easily explorable and usable. Craig Dsouza led this collaboration, and authored this post.

Project Blog: Open Water Data for Integrated Water Science (External)

Open Water Data Paper - Datasets for Water Studies in India Blog - Summary: Read (External)

Open Water Data Paper - Datasets for Water Studies in India Blog - Full Paper: Read (PDF)

Open Water Data Web App: View (External)

Open Water Data Web App - Tech Stack: Read (External)

Open Water Data Web App - Precipitation Data: Read (External)

The 22nd of March is celebrated internationally as World Water Day. Water is so tightly intertwined in every aspect of our lives that one can only scratch the surface in understanding this resource. Besides directly giving us life, it is a key non-renewable shared resource that dictates whether and how societies can grow and prosper. It has shaped the way civilization arose - on riverbanks and coastal lands. Adequate water of good quality can make or break a child’s early growth. Water available at the right time in the monsoon could shape a family’s fortunes for an entire year.

Unfortunately given the development trajectory of the last century, we have struggled to strike a balance and use water in a sustainable manner. Far too many face the ill effects of this misuse. The challenge with water lies in its nature as a common pool resource, which means that it belongs to everyone. Water is for everyone to benefit from and conversely it is no individual’s responsibility to manage and to ensure its sustainability. While some laws and policies exist to ensure sustainable use of water its fluid (pun intended) and ephemeral nature make those laws very hard to enforce. No one knows for sure how much water lies under the ground and above the surface, we only have estimates. Moreover even these estimates lie in the hands of a few. The Government of India is by far the largest entity that collects data on water across the country. Management of this resource however requires that these data points and the capacity to monitor should be decentralized. The 73rd amendment recognises this by placing the authority to plan and implement local works such as watershed management and drinking water provision under the purview of Panchayats.

To address this shortcoming Datameet and CIS in collaboration have taken first steps with a project to ensure that data and tools to plan for water resources are accessible to all. The strategy within this project has been to seek alternative data sources for water, other than government data much of which still isn’t open data. Two alternatives that have emerged are remote sensing open data and crowdsourced community data. A paper put together by the team highlights the numerous sources available for datasets such as rainfall, soil moisture, groundwater levels, reservoir storages, river flows, and water demand including domestic and agricultural water. Besides the paper the team has also put together a first iteration of a web app which seeks to provide these datasets in an easy to use intuitive and interactive format to users in the area of water planning and management. The first dataset available here is CHIRPS: a high resolution daily rainfall dataset for the whole of India.

The plans for this project in the future include making available more datasets (crop maps and Evapotranspiration) and features to access them. In addition to this the goal is also to improve our understanding of the usability of remote sensing water data with efforts to calibrate it with ground observations. A key element of these plans is to develop these resources in collaboration with end users of the data so that the tools are developed with their concerns in mind. We welcome ideas, queries, feedback, and partnerships - do contact us at pune@datameet.org.

For more details visit https://cis-india.org/openness/on-world-water-day-open-data-for-water-resources

You auto-complete me: romancing the bot

sumandro — 2019-12-06T05:00:19Z

This is an excerpt from an essay by Maya Indira Ganesh, written for and published as part of the Bodies of Evidence collection of Deep Dives. The Bodies of Evidence collection, edited by Bishakha Datta and Richa Kaul Padte, is a collaboration between Point of View and the Centre for Internet and Society, undertaken as part of the Big Data for Development Network supported by International Development Research Centre, Canada.

Please read the full essay on Deep Dives: You auto-complete me: romancing the bot

Maya Indira Ganesh: Website and Twitter

I feel like Kismet the Robot.

Kismet is a flappy-eared animatronic head with oversized eyeballs and bushy eyebrows. Connected to cameras and sensors, it exhibits the six primary human emotions identified by psychologist Paul Ekman: happiness, sadness, disgust, surprise, anger, and fear.

Scholar Katherine Hayles says that Kismet was built as an ‘ecological whole’ to respond to both humans and the environment. ‘The community,’ she writes, ‘understood as the robot plus its human interlocutors, is greater than the sum of its parts, because the robot’s design and programming have been created to optimise interactions with humans.’

In other words, Kismet may have ‘social intelligence’.

Kismet’s creator Cynthia Breazal explains this through a telling example. If someone comes too close to it, Kismet retracts its head as if to suggest that its personal space is being violated, or that it is shy. In reality, it is trying to adjust its camera so that it can properly see whatever is in front of it. But it is the human interacting with Kismet who interprets this retraction as the robot requiring its own space by moving back. Breazal says, ‘Human interpretation and response make the robot’s actions more meaningful than they otherwise would be.’

In other words, humans interpret Kismet’s social intelligence as ‘emotional intelligence’...

Kismet was built at the start of a new field called affective computing, which is now branded as ‘emotion AI’. Affective computing is about analysing human facial expressions, gait and stance into a map of emotional states. Here is what Affectiva, one of the companies developing this technology, says about how it works:

‘Humans use a lot of non-verbal cues, such as facial expressions, gesture, body language and tone of voice, to communicate their emotions. Our vision is to develop Emotion AI that can detect emotion just the way humans do. Our technology first identifies a human face in real time or in an image or video. Computer vision algorithms then identify key landmarks on the face…[and] deep learning algorithms analyse pixels in those regions to classify facial expressions. Combinations of these facial expressions are then mapped to emotions.’

But there is also a more sinister aspect to this digitised love-fest. Our faces, voices, and selfies are being used to collect data to train future bots to be more realistic. There is an entire industry of Emotion AI that harvests human emotional data to build technologies that we are supposed to enjoy because they appear more human. But it often comes down to a question of social control, because the same emotional data is used to track, monitor and regulate our own emotions and behaviours...

For more details visit https://cis-india.org/raw/maya-indira-ganesh-you-auto-complete-me-romancing-the-bot

CIS_APU_DigitalLabour_PlatypusEssays_SL_02

sumandro — 2019-08-16T12:29:56Z

For more details visit https://cis-india.org/CIS_APU_DigitalLabour_PlatypusEssays_SL_02.jpg

Manuel Beltrán - IoHO - April 01, 2019

sumandro — 2019-04-01T07:57:29Z

For more details visit https://cis-india.org/CIS_RAW_20190404_ManuelBeltran.png

Khetrimayum Monish Singh - Photograph

sumandro — 2018-01-24T11:23:50Z

Khetrimayum Monish Singh

For more details visit https://cis-india.org/home-images/khetrimayum-monish-singh-photograph

Saman Goudarzi - Photograph

sumandro — 2018-01-24T11:53:07Z

Saman Goudarzi

For more details visit https://cis-india.org/home-images/saman-goudarzi-photograph