Handbook: How to Catalyze Humanitarian Innovation in Computing Research Institutes

Curated on Posted on by Stefaan Verhulst

Patrick Meier: “The handbook below provides practical collaboration guidelines for both humanitarian organizations & computing research institutes on how to catalyze humanitarian innovation through successful partnerships. These actionable guidelines are directly applicable now and draw on extensive interviews with leading humanitarian groups and CRI’s including the International Committee of the Red Cross (ICRC), United Nations Office for the Coordination of Humanitarian Affairs (OCHA), United Nations Children’s Fund (UNICEF), United Nations High Commissioner for Refugees (UNHCR), UN Global Pulse, Carnegie Melon University (CMU), International Business Machines (IBM), Microsoft Research, Data Science for Social Good Program at the University of Chicago and others.

This handbook, which is the first of its kind, also draws directly on years of experience and lessons learned from the Qatar Computing Research Institute’s (QCRI) active collaboration and unique partnerships with multiple international humanitarian organizations. The aim of this blog post is to actively solicit feedback on this first, complete working draft, which is available here as an open and editable Google Doc. …(More)”

Confidence in U.S. Institutions Still Below Historical Norms

Curated on Posted on by Stefaan Verhulst

Jeffrey M. Jones at Gallup: “Americans’ confidence in most major U.S. institutions remains below the historical average for each one. Only the military (72%) and small business (67%) — the highest-rated institutions in this year’s poll — are currently rated higher than their historical norms, based on the percentage expressing “a great deal” or “quite a lot” of confidence in the institution.

Confidence in U.S. Institutions, 2015 vs. Historical Average for Each Institution

These results are based on a June 2-7 Gallup poll that included Gallup’s latest update on confidence in U.S. institutions. Gallup first measured confidence ratings in 1973 and has updated them each year since 1993.

Americans’ confidence in most major institutions has been down for many years as the nation has dealt with prolonged wars in Iraq and Afghanistan, a major recession and sluggish economic improvement, and partisan gridlock in Washington. In fact, 2004 was the last year most institutions were at or above their historical average levels of confidence. Perhaps not coincidentally, 2004 was also the last year Americans’ satisfaction with the way things are going in the United States averaged better than 40%. Currently, 28% of Americans are satisfied with the state of the nation.

From a broad perspective, Americans’ confidence in all institutions over the last two years has been the lowest since Gallup began systematic updates of a larger set of institutions in 1993. The average confidence rating of the 14 institutions asked about annually since 1993 — excluding small business, asked annually since 2007 — is 32% this year. This is one percentage point above the all-institution average of 31% last year. Americans were generally more confident in all institutions in the late 1990s and early 2000s as the country enjoyed a strong economy and a rally in support for U.S. institutions after the 9/11 terrorist attacks.

Trend: Average Confidence Rating Across All Institutions, by Year

Confidence in Political, Financial and Religious Institutions Especially Low

Today’s confidence ratings of Congress, organized religion, banks, the Supreme Court and the presidency show the greatest deficits compared with their historical averages, all running at least 10 points below that mark. Americans’ frustration with the government’s performance has eroded the trust they have in all U.S. political institutions….(More)”

How Crowdsourcing Can Help Us Fight ISIS

Curated on Posted on by Stefaan Verhulst

 at the Huffington Post: “There’s no question that ISIS is gaining ground. …So how else can we fight ISIS? By crowdsourcing data – i.e. asking a relevant group of people for their input via text or the Internet on specific ISIS-related issues. In fact, ISIS has been using crowdsourcing to enhance its operations since last year in two significant ways. Why shouldn’t we?

First, ISIS is using its crowd of supporters in Syria, Iraq and elsewhere to help strategize new policies. Last December, the extremist group leveraged its global crowd via social media to brainstorm ideas on how to kill 26-year-old Jordanian coalition fighter pilot Moaz al-Kasasba. ISIS supporters used the hashtag “Suggest a Way to Kill the Jordanian Pilot Pig” and “We All Want to Slaughter Moaz” to make their disturbing suggestions, which included decapitation, running al-Kasasba over with a bulldozer and burning him alive (which was the winner). Yes, this sounds absurd and was partly a publicity stunt to boost ISIS’ image. But the underlying strategy to crowdsource new strategies makes complete sense for ISIS as it continues to evolve – which is what the US government should consider as well.

In fact, in February, the US government tried to crowdsource more counterterrorism strategies. Via its official blog, DipNote, the State Departmentasked the crowd – in this case, US citizens – for their suggestions for solutions to fight violent extremism. This inclusive approach to policymaking was obviously important for strengthening democracy, with more than 180 entries posted over two months from citizens across the US. But did this crowdsourcing exercise actually improve US strategy against ISIS? Not really. What might help is if the US government asked a crowd of experts across varied disciplines and industries about counterterrorism strategies specifically against ISIS, also giving these experts the opportunity to critique each other’s suggestions to reach one optimal strategy. This additional, collaborative, competitive and interdisciplinary expert insight can only help President Obama and his national security team to enhance their anti-ISIS strategy.

Second, ISIS has been using its crowd of supporters to collect intelligence information to better execute its strategies. Since last August, the extremist group has crowdsourced data via a Twitter campaign specifically on Saudi Arabia’s intelligence officials, including names and other personal details. This apparently helped ISIS in its two suicide bombing attacks during prayers at a Shite mosque last month; it also presumably helped ISIS infiltrate a Saudi Arabian border town via Iraq in January. This additional, collaborative approach to intelligence collection can only help President Obama and his national security team to enhance their anti-ISIS strategy.

In fact, last year, the FBI used crowdsourcing to spot individuals who might be travelling abroad to join terrorist groups. But what if we asked the crowd of US citizens and residents to give us information specifically on where they’ve seen individuals get lured by ISIS in the country, as well as on specific recruitment strategies they may have noted? This might also lead to more real-time data points on ISIS defectors returning to the US – who are they, why did they defect and what can they tell us about their experience in Syria or Iraq? Overall, crowdsourcing such data (if verifiable) would quickly create a clearer picture of trends in recruitment and defectors across the country, which can only help the US enhance its anti-ISIS strategies.

This collaborative approach to data collection could also be used in Syria and Iraq with texts and online contributions from locals helping us to map ISIS’ movements….(More)”

Waze and the Traffic Panopticon

Curated on Posted on by Stefaan Verhulst

 in the New Yorker: “In April, during his second annual State of the City address, Los Angeles Mayor Eric Garcetti announced a data-sharing agreement with Waze, the Google-owned, Israel-based navigation service. Waze is different from most navigation apps, including Google Maps, in that it relies heavily on real-time, user-generated data. Some of this data is produced actively—a driver or passenger sees a stalled vehicle, then uses a voice command or taps a stalled-vehicle icon on the app to alert others—while other data, such as the user’s location and average speed, is gathered passively, via smartphones. The agreement will see the city provide Waze with some of the active data it collects, alerting drivers to road closures, construction, and parades, among other things. From Waze, the city will get real-time data on traffic and road conditions. Garcetti said that the partnership would mean “less congestion, better routing, and a more livable L.A.” Di-Ann Eisnor, Waze’s head of growth, acknowledged to me that these kinds of deals can cause discomfort to the people working inside city government. “It’s exciting, but people inside are also fearful because it seems like too much work, or it seems so unknown,” she said.

Indeed, the deal promises to help the city improve some of its traffic and infrastructure systems (L.A. still uses paper to manage pothole patching, for example), but it also acknowledges Waze’s role in the complex new reality of urban traffic planning. Traditionally, traffic management has been a largely top-down process. In Los Angeles, it is coördinated in a bunker downtown, several stories below the sidewalk, where engineers stare at blinking lights representing traffic and live camera feeds of street intersections. L.A.’s sensor-and-algorithm-driven Automated Traffic Surveillance and Control System is already one of the world’s most sophisticated traffic-mitigation tools, but it can only do so much to manage the city’s eternally unsophisticated gridlock. Los Angeles appears to see its partnership with Waze as an important step toward improving the bridge between its subterranean panopticon and the rest of the city still further, much like other metropolises that have struck deals with Waze under the company’s Connected Cities program.
Among the early adopters is Rio de Janeiro, whose urban command center tracks everything from accidents to hyperlocal weather conditions, pulling data from thirty departments and private companies, including Waze. “In Rio,” Eisnor said, traffic managers “were able to change the garbage routes, figure out where to install cameras, and deploy traffic personnel” because of the program. She also pointed out that Connected Cities has helped municipal workers in Washington, D.C., patch potholes within forty-eight hours of their being identified on Waze. “We’re helping reframe city planning through not just space but space and time,” she said…..(More)“

Safecity: Combatting Sexual Violence Through Technology

Curated on Posted on by Stefaan Verhulst

“Safecity, …. is a not for profit organization that provides a platform for people to share their personal stories of sexual harassment and abuse in public spaces. This data, which may be anonymous, gets aggregated as hot spots on a map indicating trends at a local level. The idea is to make this data useful for individuals, local communities and local administration for social and systemic change for safer cities. We launched on 26 Dec 2012 and since then have collected over 4000 stories from over 50 cities in India and Nepal.

How can Safecity help?
Safecity is a crowd map that converts these individual stories into data that is then plotted on a map. It is then easier to see trends at the location level (e.g. a street). The focus is taken away from the individual victim and instead we can focus on solving the problem at the local neighborhood level.

The Objectives:
• Create awareness on street harassment and abuse and get people, especially women, victims of hate and LGBTQ crimes to break their silence and report their personal experiences.
• Collate this information to showcase location based trends.
• Make this information available and useful for individuals, local communities and local administration to solve the problem at the local level through urban planning aimed at addressing infrastructural deficits
• Establish successful models of community engagement using crowd sourced data to solve civic and local issues.
• Reach out to women who do not have equal access to technology through our Missed dial facility for them to report any cases of abuse and harassment.

We wish to take this data forward to lobby for systemic change in terms of urban planning and infrastructure, reforms in our law that are premised on gender equity, and social changes to loosen the shackles that do not allow us otherwise to live the way we want to, with the freedom we want to, and with the rights that are fundamental to all of us, and it will just build our momentum further by having as many passionate, concerned and diverse genders on board.

We are trying to build a movement by collecting these reports through campaigns, workshops and awareness programs with schools, colleges, local communities and partners with shared vision. Crime against women has been rampant and largely remains unreported even till date. That silence needs to gain a voice and the time is now. We are determined to highlight this serious social issue and we believe we are taking a step towards changing the way our society thinks and reacts and are hopeful that so are you. In time we hope it will lead to a safe and non-violent environment for all.

Safecity uses technology to document sexual harassment and abuse in public spaces in the following way. People can report incidents of sexual abuse and street harassment, that they have experienced or witnessed. They can share solutions that can help avoid such situations and decide for themselves what works best for them, their geographic location or circumstances.

By allowing people to pin such incidents on a crowd-sourced map, we aim to let them highlight the “hotspots” of such activities. This accentuates the emerging trend in a particular area, enabling the citizens to acknowledge the problem, take personal precautions and devise a solution at the neighbourhood level.

Safecity believes in uniting millions of voices that can become a catalyst for change.

You can read the FAQs section for more information on how the data is used for public good. (More)”

India wants all government organizations to develop open APIs

Curated on Posted on by Stefaan Verhulst

Medianama: “The department of electronics and information technology (DeitY) is looking to frame a policy (pdf) for adopting and developing open application programming interfaces (APIs) in government organizations to promote software interoperability for all e-governance applications & systems. The policy shall be applicable to all central government organizations and to those state governments that choose to adopt the policy.

DeitY also said that all information and data of a government organisation shall be made available by open APIs, as per the National Data Sharing and Accessibility Policy and adhere to National Cyber Security Policy.

Policy points

– Each published API of a Government organization shall be provided free of charge whenever possible to other government organizations and public.

– Each published API shall be properly documented with sample code and sufficient information for developers to make use of the API.

– The life-cycle of the open API shall be made available by the API publishing Government organisation. The API shall be backward compatible with at least two earlier versions.

– Government organizations may use an authentication mechanism to enable service interoperability and single sign-on.

– All Open API systems built and data provided shall adhere to GoI security policies and guidelines.

…. This would allow anyone to build a website or an application and pull government information into the public domain. Everyone knows navigating a government website can be nightmarish. For example, Indian Railways provides open APIs which enabled the development of applications such as RailYatri. Through the eRail APIs, the application pulls info which includes list of stations, trains between stations, route of a train, Train Fares, PNR Status, Live train status, seat availability, cancelled, rescheduled or diverted train information and current running status of the train. …(More)”

See also “Policy on Open Application Programming Interfaces (APIs) for Government of India“

Shedding light on government, one dataset at a time

Curated on Posted on by Stefaan Verhulst

Bill Below of the OECD Directorate for Public Governance and Territorial Development at OECD Insights: “…As part of its Open Government Data (OGD) work, the OECD has created OURdata, an index that assesses governments’ efforts to implement OGD in three critical areas: Openness, Usefulness and Re-usability. The results are promising. Those countries that began the process in earnest some five years ago, today rank very high on the scale. According to this Index, which closely follows the principles of the G8 Open Data Charter, Korea is leading the implementation of OGD initiatives with France a close second.

ourdata

Those who have started the process but who are lagging (such as Poland) can draw on the experience of other OECD countries, and benefit from a clear roadmap to guide them.

Indeed, bringing one’s own country’s weaknesses out into the light is the first, and sometimes most courageous, step towards achieving the benefits of OGD. Poland has just completed its Open Government Data country review with the OECD revealing some sizable challenges ahead in transforming the internal culture of its institutions. For the moment, a supply-side rather than people-driven approach to data release is prevalent. Also, OGD in Poland is not widely understood to be a source of value creation and growth….(More)”

Remote Voting and Beyond: How Tech Will Transform Government From the Inside Out

Curated on Posted on by Stefaan Verhulst

Springwise: “…Technology, and in particular the internet, are often seen as potential stumbling blocks for government. But this perception acts as a brake on innovation in public services and in politics more generally. By embracing technology, rather than warily containing it, governments globally could benefit hugely. In terms of formulating and executing policy, technology can help governments become more transparent, accountable and effective, while improving engagement and participation from regular citizens.

On engagement, for instance, technology is opening up new avenues which make taking part in the political process far more straightforward. Springwise-featured Harvard startup Voatz are building a platform that allows users to vote, make campaign donations and complete opinion polls from their smartphones. The app, which uses biometric authentication to ensure that identities are comprehensively verified, could well entice younger voters who are alienated by the ballot box. Melding the simplicity of apps with sophisticated identity verification technology, Voatz is just one example of how tech can disrupt government for good.

From the Ground Up…

The potential for active participation goes far beyond voting. E-focus groups, online petitions and campaign groups have the power to transform the interaction between political establishments and citizens. From fact-checking charities enabled by crowdfunding such as UK-based Full Fact to massive national campaigns conducted online, citizens connected by technology are using their collective power to reshape government in democratic countries. Under other regimes, such as in the People’s Republic of China, vigilante citizens are circumventing extensive firewalls to shine a light on official misconduct.

…and the Top Down

As well as an abundance of citizen-led efforts to improve governance, there are significant moves from governments themselves to shake-up public service delivery. Even HealthCare.gov, flawed though the roll-out was, marks a hugely ambitious piece of government reform underpinned by technology. Indeed, Obama has shown an unprecedented willingness to embrace technology in his two terms, appointing chief information and technology officers, promising to open up government data and launching the @POTUS Twitter account last month. Clearly, recognition is there from governments that technology can be a game changer for their headline policies.

While many countries are using technology for individual projects, there is one government that is banking its entire national success on tech – Estonia. The tiny, sparsely populated country in Eastern Europe is one of the most technologically advanced in the world. Everything from citizen IDs to tax returns and health records make use of technology and are efficient and ‘future-proofed’ as a result.

Whether as a threat or an opportunity, technology represents a transformative influence on government. Its potential as a disruptive, reshaping force has fed a narrative that casts technology as a looming threat and a destabiliser of conventional power structures. But harnessed properly and executed effectively, technology can remold government for the better, improving big public service projects, raising participation and engaging a young population whose default is digital….(More)”

Selected Readings on Data Governance

Curated on Posted on by Jos Berens

Jos Berens (Centre for Innovation, Leiden University) and Stefaan G. Verhulst (GovLab)

The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of data governance was originally published in 2015.

Context
The field of Data Collaboratives is premised on the idea that sharing and opening-up private sector datasets has great – and yet untapped – potential for promoting social good. At the same time, the potential of data collaboratives depends on the level of societal trust in the exchange, analysis and use of the data exchanged. Strong data governance frameworks are essential to ensure responsible data use. Without such governance regimes, the emergent data ecosystem will be hampered and the (perceived) risks will dominate the (perceived) benefits. Further, without adopting a human-centered approach to the design of data governance frameworks, including iterative prototyping and careful consideration of the experience, the responses may fail to be flexible and targeted to real needs.

Selected Readings List (in alphabetical order)

Annotated Selected Readings List (in alphabetical order)

Better Place Lab, “Privacy, Transparency and Trust.” Mozilla, 2015. Available from: http://www.betterplace-lab.org/privacy-report.

  • This report looks specifically at the risks involved in the social sector having access to datasets, and the main risks development organizations should focus on to develop a responsible data use practice.
  • Focusing on five specific countries (Brazil, China, Germany, India and Indonesia), the report displays specific country profiles, followed by a comparative analysis centering around the topics of privacy, transparency, online behavior and trust.
  • Some of the key findings mentioned are:
    • A general concern on the importance of privacy, with cultural differences influencing conception of what privacy is.
    • Cultural differences determining how transparency is perceived, and how much value is attached to achieving it.
    • To build trust, individuals need to feel a personal connection or get a personal recommendation – it is hard to build trust regarding automated processes.

Montjoye, Yves Alexandre de; Kendall, Jake and; Kerry, Cameron F. “Enabling Humanitarian Use of Mobile Phone Data.” The Brookings Institution, 2015. Available from: http://www.brookings.edu/research/papers/2014/11/12-enabling-humanitarian-use-mobile-phone-data.

  • Focussing in particular on mobile phone data, this paper explores ways of mitigating privacy harms involved in using call detail records for social good.
  • Key takeaways are the following recommendations for using data for social good:
    • Engaging companies, NGOs, researchers, privacy experts, and governments to agree on a set of best practices for new privacy-conscientious metadata sharing models.
    • Accepting that no framework for maximizing data for the public good will offer perfect protection for privacy, but there must be a balanced application of privacy concerns against the potential for social good.
    • Establishing systems and processes for recognizing trusted third-parties and systems to manage datasets, enable detailed audits, and control the use of data so as to combat the potential for data abuse and re-identification of anonymous data.
    • Simplifying the process among developing governments in regards to the collection and use of mobile phone metadata data for research and public good purposes.

Centre for Democracy and Technology, “Health Big Data in the Commercial Context.” Centre for Democracy and Technology, 2015. Available from: https://cdt.org/insight/health-big-data-in-the-commercial-context/.

  • Focusing particularly on the privacy issues related to using data generated by individuals, this paper explores the overlap in privacy questions this field has with other data uses.
  • The authors note that although the Health Insurance Portability and Accountability Act (HIPAA) has proven a successful approach in ensuring accountability for health data, most of these standards do not apply to developers of the new technologies used to collect these new data sets.
  • For non-HIPAA covered, customer facing technologies, the paper bases an alternative framework for consideration of privacy issues. The framework is based on the Fair Information Practice Principles, and three rounds of stakeholder consultations.

Center for Information Policy Leadership, “A Risk-based Approach to Privacy: Improving Effectiveness in Practice.” Centre for Information Policy Leadership, Hunton & Williams LLP, 2015. Available from: https://www.informationpolicycentre.com/uploads/5/7/1/0/57104281/white_paper_1-a_risk_based_approach_to_privacy_improving_effectiveness_in_practice.pdf.

  • This white paper is part of a project aiming to explain what is often referred to as a new, risk-based approach to privacy, and the development of a privacy risk framework and methodology.
  • With the pace of technological progress often outstripping the capabilities of privacy officers to keep up, this method aims to offer the ability to approach privacy matters in a structured way, assessing privacy implications from the perspective of possible negative impact on individuals.
  • With the intended outcomes of the project being “materials to help policy-makers and legislators to identify desired outcomes and shape rules for the future which are more effective and less burdensome”, insights from this paper might also feed into the development of innovative governance mechanisms aimed specifically at preventing individual harm.

Centre for Information Policy Leadership, “Data Governance for the Evolving Digital Market Place”, Centre for Information Policy Leadership, Hunton & Williams LLP, 2011. Available from: http://www.huntonfiles.com/files/webupload/CIPL_Centre_Accountability_Data_Governance_Paper_2011.pdf.

  • This paper argues that as a result of the proliferation of large scale data analytics, new models governing data inferred from society will shift responsibility to the side of organizations deriving and creating value from that data.
  • It is noted that, with the reality of the challenge corporations face of enabling agile and innovative data use “In exchange for increased corporate responsibility, accountability [and the governance models it mandates, ed.] allows for more flexible use of data.”
  • Proposed as a means to shift responsibility to the side of data-users, the accountability principle has been researched by a worldwide group of policymakers. Tailing the history of the accountability principle, the paper argues that it “(…) requires that companies implement programs that foster compliance with data protection principles, and be able to describe how those programs provide the required protections for individuals.”
  • The following essential elements of accountability are listed:
    • Organisation commitment to accountability and adoption of internal policies consistent with external criteria
    • Mechanisms to put privacy policies into effect, including tools, training and education
    • Systems for internal, ongoing oversight and assurance reviews and external verification
    • Transparency and mechanisms for individual participation
    • Means of remediation and external enforcement

Crawford, Kate; Schulz, Jason. “Big Data and Due Process: Toward a Framework to Redress Predictive Privacy Harm.” NYU School of Law, 2014. Available from: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2325784&download=yes.

  • Considering the privacy implications of large-scale analysis of numerous data sources, this paper proposes the implementation of a ‘procedural data due process’ mechanism to arm data subjects against potential privacy intrusions.
  • The authors acknowledge that some privacy protection structures already know similar mechanisms. However, due to the “inherent analytical assumptions and methodological biases” of big data systems, the authors argue for a more rigorous framework.

Letouze, Emmanuel, and; Vinck, Patrick. “The Ethics and Politics of Call Data Analytics”, DataPop Alliance, 2015. Available from: http://static1.squarespace.com/static/531a2b4be4b009ca7e474c05/t/54b97f82e4b0ff9569874fe9/1421442946517/WhitePaperCDRsEthicFrameworkDec10-2014Draft-2.pdf.

  • Focusing on the use of Call Detail Records (CDRs) for social good in development contexts, this whitepaper explores both the potential of these datasets – in part by detailing recent successful efforts in the space – and political and ethical constraints to their use.
  • Drawing from the Menlo Report Ethical Principles Guiding ICT Research, the paper explores how these principles might be unpacked to inform an ethics framework for the analysis of CDRs.

Data for Development External Ethics Panel, “Report of the External Ethics Review Panel.” Orange, 2015. Available from: http://www.d4d.orange.com/fr/content/download/43823/426571/version/2/file/D4D_Challenge_DEEP_Report_IBE.pdf.

  • This report presents the findings of the external expert panel overseeing the Orange Data for Development Challenge.
  • Several types of issues faced by the panel are described, along with the various ways in which the panel dealt with those issues.

Federal Trade Commission Staff Report, “Mobile Privacy Disclosures: Building Trust Through Transparency.” Federal Trade Commission, 2013. Available from: www.ftc.gov/os/2013/02/130201mobileprivacyreport.pdf.

  • This report looks at ways to address privacy concerns regarding mobile phone data use. Specific advise is provided for the following actors:
    • Platforms, or operating systems providers
    • App developers
    • Advertising networks and other third parties
    • App developer trade associations, along with academics, usability experts and privacy researchers

Mirani, Leo. “How to use mobile phone data for good without invading anyone’s privacy.” Quartz, 2015. Available from: http://qz.com/398257/how-to-use-mobile-phone-data-for-good-without-invading-anyones-privacy/.

  • This paper considers the privacy implications of using call detail records for social good, and ways to mitigate risks of privacy intrusion.
  • Taking example of the Orange D4D challenge and the anonymization strategy that was employed there, the paper describes how classic ‘anonymization’ is often not enough. The paper then lists further measures that can be taken to ensure adequate privacy protection.

Bernholz, Lucy. “Several Examples of Digital Ethics and Proposed Practices” Stanford Ethics of Data conference, 2014, Available from: http://www.scribd.com/doc/237527226/Several-Examples-of-Digital-Ethics-and-Proposed-Practices.

  • This list of readings prepared for Stanford’s Ethics of Data conference lists some of the leading available literature regarding ethical data use.

Abrams, Martin. “A Unified Ethical Frame for Big Data Analysis.” The Information Accountability Foundation, 2014. Available from: http://www.privacyconference2014.org/media/17388/Plenary5-Martin-Abrams-Ethics-Fundamental-Rights-and-BigData.pdf.

  • Going beyond privacy, this paper discusses the following elements as central to developing a broad framework for data analysis:
    • Beneficial
    • Progressive
    • Sustainable
    • Respectful
    • Fair

Lane, Julia; Stodden, Victoria; Bender, Stefan, and; Nissenbaum, Helen, “Privacy, Big Data and the Public Good”, Cambridge University Press, 2014. Available from: http://www.dataprivacybook.org.

  • This book treats the privacy issues surrounding the use of big data for promoting the public good.
  • The questions being asked include the following:
    • What are the ethical and legal requirements for scientists and government officials seeking to serve the public good without harming individual citizens?
    • What are the rules of engagement?
    • What are the best ways to provide access while protecting confidentiality?
    • Are there reasonable mechanisms to compensate citizens for privacy loss?

Richards, Neil M, and; King, Jonathan H. “Big Data Ethics”. Wake Forest Law Review, 2014. Available from: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2384174.

  • This paper describes the growing impact of big data analytics on society, and argues that because of this impact, a set of ethical principles to guide data use is called for.
  • The four proposed themes are: privacy, confidentiality, transparency and identity.
  • Finally, the paper discusses how big data can be integrated into society, going into multiple facets of this integration, including the law, roles of institutions and ethical principles.

OECD, “OECD Guidelines on the Protection of Privacy and Transborder Flows of Personal Data”. Available from: http://www.oecd.org/sti/ieconomy/oecdguidelinesontheprotectionofprivacyandtransborderflowsofpersonaldata.htm.

  • A globally used set of principles to inform thought about handling personal data, the OECD privacy guidelines serve as one the leading standards for informing privacy policies and data governance structures.
  • The basic principles of national application are the following:
    • Collection Limitation Principle
    • Data Quality Principle
    • Purpose Specification Principle
    • Use Limitation Principle
    • Security Safeguards Principle
    • Openness Principle
    • Individual Participation Principle
    • Accountability Principle

The White House Big Data and Privacy Working Group, “Big Data: Seizing Opportunities, Preserving Values”, White House, 2015. Available from: https://www.whitehouse.gov/sites/default/files/docs/big_data_privacy_report_5.1.14_final_print.pdf.

  • Documenting the findings of the White House big data and privacy working group, this report lists i.a. the following key recommendations regarding data governance:
    • Bringing greater transparency to the data services industry
    • Stimulating international conversation on big data, with multiple stakeholders
    • With regard to educational data: ensuring data is used for the purpose it is collected for
    • Paying attention to the potential for big data to facilitate discrimination, and expanding technical understanding to stop discrimination

William Hoffman, “Pathways for Progress” World Economic Forum, 2015. Available from: http://www3.weforum.org/docs/WEFUSA_DataDrivenDevelopment_Report2015.pdf.

  • This paper treats i.a. the lack of well-defined and balanced governance mechanisms as one of the key obstacles preventing particularly corporate sector data from being shared in a controlled space.
  • An approach that balances the benefits against the risks of large scale data usage in a development context, building trust among all stake holders in the data ecosystem, is viewed as key.
  • Furthermore, this whitepaper notes that new governance models are required not just by the growing amount of data and analytical capacity, and more refined methods for analysis. The current “super-structure” of information flows between institutions is also seen as one of the key reasons to develop alternatives to the current – outdated – approaches to data governance.

India asks its citizens: please digitise our files

Curated on Posted on by Stefaan Verhulst

Joshua Chambers in FutureGov: “India has asked its citizens to help digitise records so that it can move away from paper processes.

Using its crowdsourcing web site MyGov, the government wrote that “we cannot talk of Digital India and transforming India into a knowledge society if most of the transactions continue to be physical.”

It is “essential” that paper records are converted into machine readable digital versions, the government added, but “the cost of such digitisation is very large and existing budgetary constraints of government and many other organisations do not allow such lavish digitisation effort.”

Consequently, the government is asking citizens for advice on how to build a cheap content management system and tools that will allow it to crowdsource records transcriptions. Citizens would be rewarded for every word that they transcribe through a points system, which can then be recouped into cash prizes.

“The proposed platform will create earning and income generation opportunities for our literate rural and urban citizens, develop digital literacy and IT skills and include them in the making of Digital India,” the government added.

The announcement also noted the importance of privacy, suggesting that documents are split so that no portion gives any clue regarded the overall content of the document.

Instead, two people will be given the same words to transcribe, and the software will compare their statements to ensure accuracy. Only successful transcription will be rewarded with points….(More)”