Secrecy and Publicity in Votes and Debates


Book edited by Jon Elster: “In the spirit of Jeremy Bentham’s Political Tactics, this volume offers the first comprehensive discussion of the effects of secrecy and publicity on debates and votes in committees and assemblies. The contributors – sociologists, political scientists, historians, and legal scholars – consider the micro-technology of voting (the devil is in the detail), the historical relations between the secret ballot and universal suffrage, the use and abolition of secret voting in parliamentary decisions, and the sometimes perverse effects of the drive for greater openness and transparency in public affairs. The authors also discuss the normative questions of secret versus public voting in national elections and of optimal mixes of secrecy and publicity, as well as the opportunities for strategic behavior created by different voting systems. Together with two previous volumes on Collective Wisdom (Cambrige, 2012) and Majority Decisions (Cambridge, 2014), the book sets a new standard for interdisciplinary work on collective decision-making….(More)”

When Guarding Student Data Endangers Valuable Research


Susan M. Dynarski  in the New York Times: “There is widespread concern over threats to privacy posed by the extensive personal data collected by private companies and public agencies.

Some of the potential danger comes from the government: The National Security Agency has swept up the telephone records of millions of people, in what it describes as a search for terrorists. Other threats are posed by hackers, who have exploited security gaps to steal data from retail giantslike Target and from the federal Office of Personnel Management.

Resistance to data collection was inevitable — and it has been particularly intense in education.

Privacy laws have already been strengthened in some states, and multiple bills now pending in state legislatures and in Congress would tighten the security and privacy of student data. Some of this proposed legislation is so broadly written, however, that it could unintentionally choke off the use of student data for its original purpose: assessing and improving education. This data has already exposed inequities, allowing researchers and advocates to pinpoint where poor, nonwhite and non-English-speaking children have been educated inadequately by their schools.

Data gathering in education is indeed extensive: Across the United States, large, comprehensive administrative data sets now track the academic progress of tens of millions of students. Educators parse this data to understand what is working in their schools. Advocates plumb the data to expose unfair disparities in test scores and graduation rates, building cases to target more resources for the poor. Researchers rely on this data when measuring the effectiveness of education interventions.

To my knowledge there has been no large-scale, Target-like theft of private student records — probably because students’ test scores don’t have the market value of consumers’ credit card numbers. Parents’ concerns have mainly centered not on theft, but on the sharing of student data with third parties, including education technology companies. Last year, parentsresisted efforts by the tech start-up InBloom to draw data on millions of students into the cloud and return it to schools as teacher-friendly “data dashboards.” Parents were deeply uncomfortable with a third party receiving and analyzing data about their children.

In response to such concerns, some pending legislation would scale back the authority of schools, districts and states to share student data with third parties, including researchers. Perhaps the most stringent of these proposals, sponsored by Senator David Vitter, a Louisiana Republican, would effectively end the analysis of student data by outside social scientists. This legislation would have banned recent prominent research documenting the benefits of smaller classes, the value of excellent teachersand the varied performance of charter schools.

Under current law, education agencies can share data with outside researchers only to benefit students and improve education. Collaborations with researchers allow districts and states to tap specialized expertise that they otherwise couldn’t afford. The Boston public school district, for example, has teamed up with early-childhood experts at Harvard to plan and evaluate its universal prekindergarten program.

In one of the longest-standing research partnerships, the University of Chicago works with the Chicago Public Schools to improve education. Partnerships like Chicago’s exist across the nation, funded by foundations and the United States Department of Education. In one initiative, a Chicago research consortium compiled reports showing high school principals that many of the seniors they had sent off to college swiftly dropped out without earning a degree. This information spurred efforts to improve high school counseling and college placement.

Specific, tailored information in the hands of teachers, principals or superintendents empowers them to do better by their students. No national survey could have told Chicago’s principals how their students were doing in college. Administrative data can provide this information, cheaply and accurately…(More)”

Introducing the Governance Data Alliance


“The overall assumption of the Governance Data Alliance is that governance data can contribute to improved sustainable economic and human development outcomes and democratic accountability in all countries. The contribution that governance data will make to those outcomes will of course depend on a whole range of issues that will vary across contexts; development processes, policy processes, and the role that data plays vary considerably. Nevertheless, there are some core requirements that need to be met if data is to make a difference, and articulating them can provide a framework to help us understand and improve the impact that data has on development and accountability across different contexts.

We also collectively make another implicit (and important) assumption: that the current state of affairs is vastly insufficient when it comes to the production and usage of high-quality governance data. In other words, the status quo needs to be significantly improved upon. Data gathered from participants in the April 2014 design session help to paint that picture in granular terms. Data production remains highly irregular and ad hoc; data usage does not match data production in many cases (e.g. users want data that don’t exist and do not use data that is currently produced); production costs remain high and inconsistent across producers despite possibilities for economies of scale; and feedback loops between governance data producers and governance data users are either non-existent or rarely employed. We direct readers to http://dataalliance.globalintegrity.org for a fuller treatment of those findings.

Three requirements need to be met if governance data is to lead to better development and accountability outcomes, whether those outcomes are about core “governance” issues such as levels of inclusion, or about service delivery and human development outcomes that may be shaped by the quality of governance. Those requirements are:

  • The availability of governance data.
  • The quality of governance data, including its usability and salience.
  • The informed use of governance data.

(Or to use the metaphor of markets, we face a series of market failures: supply of data is inconsistent and not uniform; user demand cannot be efficiently channeled to suppliers to redirect their production to address those deficiencies; and transaction costs abound through non-existent data standards and lack of predictability.)

If data are not available about those aspects of governance that are expected to have an impact on development outcomes and democratic accountability, no progress will be made. The risk is that data about key issues will be lacking, or that there will be gaps in coverage, whether country coverage, time periods covered, or sectors, or that data sets produced by different actors may not be comparable. This might come about for reasons including the following: a lack of knowledge – amongst producers, and amongst producers and users – about what data is needed and what data is available; high costs, and limited resources to invest in generating data; and, institutional incentives and structures (e.g. lack of autonomy, inappropriate mandate, political suppression of sensitive data, organizational dysfunction – relating, for instance, to National Statistical Offices) that limit the production of governance data….

What A Governance Data Alliance Should Do (Or, Making the Market Work)

During the several months of creative exploration around possibilities for a Governance Data Alliance, dozens of activities were identified as possible solutions (in whole or in part) to the challenges identified above. This note identifies what we believe to be the most important and immediate activities that an Alliance should undertake, knowing that other activities can and should be rolled into an Alliance work plan in the out years as the initiative matures and early successes (and failures) are achieved and digested.

A brief summary of the proposals that follow:

  1. Design and implement a peer-to-peer training program between governance data producers to improve the quality and salience of existing data.
  2. Develop a lightweight data standard to be adopted by producer organizations to make it easier for users to consume governance data.
  3. Mine the 2014 Reform Efforts Survey to understand who actually uses which governance data, currently, around the world.
  4. Leverage the 2014 Reform Efforts Survey “plumbing” to field customized follow-up surveys to better assess what data users seek in future governance data.
  5. Pilot (on a regional basis) coordinated data production amongst producer organizations to fill coverage gaps, reduce redundancies, and respond to actual usage and user preferences….(More) “

Exploring Open Energy Data in Urban Areas


The Worldbank: “…Energy efficiency – using less energy input to deliver the same level of service – has been described by many as the ‘first fuel’ of our societies. However, lack of adequate data to accurately predict and measure energy efficiency savings, particularly at the city level, has limited the realization of its promise over the past two decades.
Why Open Energy Data?
Open Data can be a powerful tool to reduce information asymmetry in markets, increase transparency and help achieve local economic development goals. Several sectors like transport, public sector management and agriculture have started to benefit from Open Data practices. Energy markets are often characterized by less-than-optimal conditions with high system inefficiencies, misaligned incentives and low levels of transparency. As such, the sector has a lot to potentially gain from embracing Open Data principles.
The United States is a leader in this field with its ‘Energy Data’ initiative. This initiative makes data easy to find, understand and apply, helping to fuel a clean energy economy. For example, the Energy Information Administration’s (EIA) open application programming interface (API) has more than 1.2 million time series of data and is frequently visited by users from the private sector, civil society and media. In addition, the Green Button  initiative is empowering American citizens to have access to their own energy usage data, and OpenEI.org is an Open Energy Information platform to help people find energy information, share their knowledge and connect to other energy stakeholders.
Introducing the Open Energy Data Assessment
To address this data gap in emerging and developing countries, the World Bank is conducting a series of Open Energy Data Assessments in urban areas. The objective is to identify important energy-related data, raise awareness of the benefits of Open Data principles and improve the flow of data between traditional energy stakeholders and others interested in the sector.
The first cities we assessed were Accra, Ghana and Nairobi, Kenya. Both are among the fastest-growing cities in the world, with dynamic entrepreneurial and technology sectors, and both are capitals of countries with an ongoing National Open Data Initiative., The two cities have also been selected to be part of the Negawatt Challenge, a World Bank international competition supporting technology innovation to solve local energy challenges.
The ecosystem approach
The starting point for the exercise was to consider the urban energy sector as an ecosystem, comprised of data suppliers, data users, key datasets, a legal framework, funding mechanisms, and ICT infrastructure. The methodology that we used adapted the established World Bank Open Data Readiness Assessment (ODRA), which highlights valuable connections between data suppliers and data demand.  The assessment showcases how to match pressing urban challenges with the opportunity to release and use data to address them, creating a longer-term commitment to the process. Mobilizing key stakeholders to provide quick, tangible results is also key to this approach….(More) …See also World Bank Open Government Data Toolkit.”

How Crowdsourcing Can Help Us Fight ISIS


 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)”

India wants all government organizations to develop open APIs


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

Data Reinvents Libraries for the 21st Century


 in GovTech: “Libraries can evoke tired assumptions. It could be a stack of battered books and yesteryear movies; that odd odor of wilted pages and circa-1970s decor; or it could be a bout of stereotypes, like obsolete encyclopedias and ruler-snapping librarians.

Whatever the case, the truth is that today libraries are proving they’re more than mausoleums of old knowledge. They’re in a state of progressive reform, rethinking services and restructuring with data. It’s a national trend as libraries modernize, strategize and recast themselves as digital platforms. They’ve taken on the role of data curator for information coming in and citizen-generated data going out….

Nate Hill is among this band of progressives. As a data zealot who believes in data’s inclination for innovation, the former deputy director for Tennessee’s Chattanooga Public Library, led a charge to transform the library into a data centric community hub. The library boasts an open data portal that it manages for the city, a civic hacker lab, a makerspace for community projects, and expanded access to in-person and online tutorials for coding and other digital skill sets….

The draw in data sharing and creating, Hill said, comes from the realization that today’s data channels are no longer one-way systems.

“I push people to the idea that now it’s about being a producer rather than just a consumer,” Hill said, “because really that whole idea of a read-write Web comes from the notion that you and I, for example, are just as capable at editing Wikipedia articles on the fly and changing information as anybody else.”

For libraries, Hill sees this as an opportunity and asks what institution can better pioneer the new frontier of information exchange. He posits the idea that, as the original public content curator, adding open data to libraries is only natural. In fact, he says it’s a logical next step when considering that traditional media like books, research journals and other sources infuse data points with rich context — something most city and state open data portals typically don’t do.

“The dream here is to treat the library as a different kind of community infrastructure,” Hill said. “You can conceivably be feeding live data about a city into an open data portal, and at the same time, turning the library into a real live information source — rather than something just static.”

In Chattanooga, an ongoing effort is in the works to do just that. The library seeks to integrate open data into its library catalog searches. Visitors researching Chattanooga’s waterfront could do a quick search and pull up local books, articles and mapping documents, but also a collection of latest data sets on water pollution and land use, for example.

Eyeing the library data movement at scale, Hill said he could easily envision a network of public libraries that act as local data hubs, retrieving and funneling data into larger state and national data portals….(More).

Why Technology Hasn’t Delivered More Democracy


Collection of POVs aggregated by Thomas Carothers at Foreign Policy: “New technologies offer important tools for empowerment — yet democracy is stagnating. What’s up?…

THe current moment confronts us with a paradox. The first fifteen years of this century have been a time of astonishing advances in communications and information technology, including digitalization, mass-accessible video platforms, smart phones, social media, billions of people gaining internet access, and much else. These revolutionary changes all imply a profound empowerment of individuals through exponentially greater access to information, tremendous ease of communication and data-sharing, and formidable tools for networking. Yet despite these changes, democracy — a political system based on the idea of the empowerment of individuals — has in these same years become stagnant in the world. The number of democracies today is basically no greater than it was at the start of the century. Many democracies, both long-established ones and newer ones, are experiencing serious institutional debilities and weak public confidence.

How can we reconcile these two contrasting global realities — the unprecedented advance of technologies that facilitate individual empowerment and the overall lack of advance of democracy worldwide? To help answer this question, I asked six experts on political change, all from very different professional and national perspectives. Here are their responses, followed by a few brief observations of my own.

1. Place a Long Bet on the Local By Martin Tisné

2. Autocrats Know How to Use Tech, Too By Larry Diamond

3. Limits on Technology Persist By Senem Aydin Düzgit

4. The Harder Task By Rakesh Rajani

5. Don’t Forget Institutions By Diane de Gramont

6. Mixed Lessons from Iran By Golnaz Esfandiari

7. Yes, It’s Complicated byThomas Carothers…(More)”

5 cool ways connected data is being used


 at Wareable: “The real news behind the rise of wearable tech isn’t so much the gadgetry as the gigantic amount of personal data that it harnesses.

Concerns have already been raised over what companies may choose to do with such valuable information, with one US life insurance company already using Fitbits to track customers’ exercise and offer them discounts when they hit their activity goals.

Despite a mildly worrying potential dystopia in which our own data could be used against us, there are plenty of positive ways in which companies are using vast amounts of connected data to make the world a better place…

Parkinson’s disease research

Apple Health ResearchKit was recently unveiled as a platform for collecting collaborative data for medical studies, but Apple isn’t the first company to rely on crowdsourced data for medical research.

The Michael J. Fox Foundation for Parkinson’s Research recently unveiled a partnership with Intel to improve research and treatment for the neurodegenerative brain disease. Wearables are being used to unobtrusively gather real-time data from sufferers, which is then analysed by medical experts….

Saving the rhino

Connected data and wearable tech isn’t just limited to humans. In South Africa, the Madikwe Conservation Project is using wearable-based data to protect endangered rhinos from callous poachers.

A combination of ultra-strong Kevlar ankle collars powered by an Intel Galileo chip, along with an RFID chip implanted in each rhino’s horn allows the animals to be monitored. Any break in proximity between the anklet and horn results in anti-poaching teams being deployed to catch the bad guys….

Making public transport smart

A company called Snips is collecting huge amounts of urban data in order to improve infrastructure. In partnership with French national rail operator SNCF, Snips produced an app called Tranquilien to utilise location data from commuters’ phones and smartwatches to track which parts of the rail network were busy at which times.

Combining big data with crowdsourcing, the information helps passengers to pick a train where they can find a seat during peak times, while the data can also be useful to local businesses when serving the needs of commuters who are passing through.

Improving the sports fan experience

We’ve already written about how wearable tech is changing the NFL, but the collection of personal data is also set to benefit the fans.

Levi’s Stadium – the new home of the San Francisco 49ers – opened in 2014 and is one of the most technically advanced sports venues in the world. As well as a strong Wi-Fi signal throughout the stadium, fans also benefit from a dedicated app. This not only offers instant replays and real-time game information, but it also helps them find a parking space, order food and drinks directly to their seat and even check the lines at the toilets. As fans use the app, all of the data is collated to enhance the fan experience in future….

Creating interactive art

Don’t be put off by the words ‘interactive installation’. On Broadway is a cool work of art that “represents life in the 21st Century city through a compilation of images and data collected along the 13 miles of Broadway that span Manhattan”….(More)”

Measuring ‘governance’ to improve lives


Robert Rotberg at the Conversation: “…Citizens everywhere desire “good governance” – to be governed well within their nation-states, their provinces, their states and their cities.

Governance is more useful than “democracy” if we wish to understand how different political rulers and ruling elites satisfy the aspirations of their citizens.

But to make the notion of “governance” useful, we need both a practical definition and a method of measuring the gradations between good and bad governance.

What’s more, if we can measure well, we can diagnose weak areas of governance and, hence, seek ways to make the weak actors strong.

Governance, defined as “the performance of governments and the delivery of services by governments,” tells us if and when governments are in fact meeting the expectations of their constituents and providing for them effectively and responsibly.

Democracy outcomes, by contrast, are much harder to measure because the meaning of the very word itself is contested and impossible to measure accurately.

For the purposes of making policy decisions, if we seek to learn how citizens are faring under regime X or regime Y, we need to compare governance (not democracy) in those respective places.

In other words, governance is a construct that enables us to discern exactly whether citizens are progressing in meeting life’s goals.

Measuring governance: five bundles and 57 subcategories

Are citizens of a given country better off economically, socially and politically than they were in an earlier decade? Are their various human causes, such as being secure or being free, advancing? Are their governments treating them well, and attempting to respond to their various needs and aspirations and relieving them of anxiety?

Just comparing national gross domestic products (GDPs), life expectancies or literacy rates provides helpful distinguishing data, but governance data are more comprehensive, more telling and much more useful.

Assessing governance tells us far more about life in different developing societies than we would learn by weighing the varieties of democracy or “human development” in such places.

Government’s performance, in turn, is according to the scheme advanced in my book On Governance and in my Index of African Governance, the delivery to citizens of five bundles (divided into 57 underlying subcategories) of political goods that citizens within any kind of political jurisdiction demand.

The five major bundles are Security and Safety, Rule of Law and Transparency, Political Participation and Respect for Human Rights, Sustainable Economic Opportunity, and Human Development (education and health)….(More)”