Advancing Open and Citizen-Centered Government


The White House: “Today, the United States released our third Open Government National Action Plan, announcing more than 40 new or expanded initiatives to advance the President’s commitment to an open and citizen-centered government….In the third Open Government National Action Plan, the Administration both broadens and deepens efforts to help government become more open and more citizen-centered. The plan includes new and impactful steps the Administration is taking to openly and collaboratively deliver government services and to support open government efforts across the country. These efforts prioritize a citizen-centric approach to government, including improved access to publicly available data to provide everyday Americans with the knowledge and tools necessary to make informed decisions.

One example is the College Scorecard, which shares data through application programming interfaces (APIs) to help students and families make informed choices about education. Open APIs help create an ecosystem around government data in which civil society can provide useful visual tools, making this data more accessible and commercial developers can enable even more value to be extracted to further empower students and their families. In addition to these newer approaches, the plan also highlights significant longstanding open government priorities such as access to information, fiscal transparency, and records management, and continues to push for greater progress in that work.

The plan also focuses on supporting implementation of the landmark 2030 Agenda for Sustainable Development, which sets out a vision and priorities for global development over the next 15 years and was adopted last month by 193 world leaders including President Obama. The plan includes commitments to harness open government and progress toward the Sustainable Development Goals (SDGs) both in the United States and globally, including in the areas of education, health, food security, climate resilience, science and innovation, justice and law enforcement. It also includes a commitment to take stock of existing U.S. government data that relates to the 17 SDGs, and to creating and using data to support progress toward the SDGs.

Some examples of open government efforts newly included in the plan:

  • Promoting employment by unlocking workforce data, including training, skill, job, and wage listings.
  • Enhancing transparency and participation by expanding available Federal services to theOpen311 platform currently available to cities, giving the public a seamless way to report problems and request assistance.
  • Releasing public information from the electronically filed tax forms of nonprofit and charitable organizations (990 forms) as open, machine-readable data.
  • Expanding access to justice through the White House Legal Aid Interagency Roundtable.
  • Promoting open and accountable implementation of the Sustainable Development Goals….(More)”

The big cost of using big data in elections


Michael McDonald, Peter Licari and Lia Merivaki in the Washington Post: “In modern campaigns, buzzwords like “microtargeting” and “big data” are often bandied about as essential to victory. These terms refer to the practice of analyzing (or “microtargeting”) millions of voter registration records (“big data”) to predict who will vote and for whom.

If you’ve ever gotten a message from a campaign, there’s a good chance you’ve been microtargeted. Serious campaigns use microtargeting to persuade voters through mailings, phone calls, knocking on doors, and — in our increasingly connected world — social media.

But the big data that fuels such efforts comes at a big price, which can create a serious barrier to entry for candidates and groups seeking to participate in elections — that is, if they are allowed to buy the data at all.

When we asked state election officials about prices and restrictions on who can use their voter registration files, we learned that the rules are unsettlingly arbitrary.

Contrast Arizona and Washington. Arizona sells its statewide voter file for an estimated $32,500, while Washington gives its file away for free. Before jumping to the conclusion that this is a red- state/blue-state thing, consider that Oklahoma gives its file away, too.

A number of states base their prices on a per-record formula, which can massively drive up the price despite the fact that files are often delivered electronically. Alabama sells its records for 1 cent per voter , which yields an approximately $30,000 charge for the lot. Seriously, in this day and age, who prices an electronic database by the record?

Some states will give more data to candidates than to outside groups. Delaware will provide phone numbers to candidates but not to nonprofit organizations doing nonpartisan voter mobilization.

In some states, the voter file is not even available to the general public. States such as South Carolina and Maryland permit access only to residents who are registered voters. States including Kentucky and North Dakota grant access only to campaigns, parties and other political organizations.

We estimate that it would cost roughly $140,000 for an independent presidential campaign or national nonprofit organization to compile a national voter file, and this would not be a one-time cost. Voter lists frequently change as voters are added and deleted.

Guess who most benefits from all the administrative chaos? Political parties and their candidates. Not only are they capable of raising the vast amounts of money needed to purchase the data, but, adding insult to injury, they sometimes don’t even have to. Some states literally bequeath the data to parties at no cost. Alabama goes so far as to give parties a free statewide copy for every election.

Who is hurt by this? Independent candidates and nonprofit organizations that want to run national campaigns but don’t have deep pockets. If someone like Donald Trump launched an independent presidential run, he could buy the necessary data without much difficulty. But a nonprofit focused on mobilizing low-income voters could be stretched thin….(More)”

Governments’ Self-Disruption Challenge


Mohamed A. El-Erian at Project Syndicate: “One of the most difficult challenges facing Western governments today is to enable and channel the transformative – and, for individuals and companies, self-empowering – forces of technological innovation. They will not succeed unless they become more open to creative destruction, allowing not only tools and procedures, but also mindsets, to be revamped and upgraded. The longer it takes them to meet this challenge, the bigger the lost opportunities for current and future generations.
Self-empowering technological innovation is all around us, affecting a growing number of people, sectors, and activities worldwide. Through an ever-increasing number of platforms, it is now easier than ever for households and corporations to access and engage in an expanding range of activities – from urban transportation to accommodation, entertainment, and media. Even the regulation-reinforced, fortress-like walls that have traditionally surrounded finance and medicine are being eroded.

…In fact, Western political and economic structures are, in some ways, specifically designed to resist deep and rapid change, if only to prevent temporary and reversible fluctuations from having an undue influence on underlying systems. This works well when politics and economies are operating in cyclical mode, as they usually have been in the West. But when major structural and secular challenges arise, as is the case today, the advanced countries’ institutional architecture acts as a major obstacle to effective action….Against this background, a rapid and comprehensive transformation is clearly not feasible. (In fact, it may not even be desirable, given the possibility of collateral damage and unintended consequences.) The best option for Western governments is thus to pursue gradual change, propelled by a variety of adaptive instruments, which would reach a critical mass over time.
Such tools include well-designed public-private partnerships, especially when it comes to modernizing infrastructure; disruptive outside advisers – selected not for what they think, but for how they think – in the government decision-making process; mechanisms to strengthen inter-agency coordination so that it enhances, rather than retards, policy responsiveness; and broader cross-border private-sector linkages to enhance multilateral coordination.
How economies function is changing, as relative power shifts from established, centralized forces toward those that respond to the unprecedented empowerment of individuals. If governments are to overcome the challenges they face and maximize the benefits of this shift for their societies, they need to be a lot more open to self-disruption. Otherwise, the transformative forces will leave them and their citizens behind….(More)”

Can non-Western democracy help to foster political transformation?


Richard Youngs at Open Democracy: “…many non-Western countries are showing signs of a newly-vibrant civic politics, organized in ways that are not centered on NGOs but on more loosely structured social movements in participatory forms of democracy where active citizenship is crucial—not just structured or formal, representative democratic institutions. Bolivia is a good example.

Many Western governments were skeptical about President Evo Morales’ political project, fearing that he would prove to be just as authoritarian as Hugo Chavez in Venezuela. But some Western donors (including Germany and the European Union) have already increased their support to indigenous social movements in Bolivia because they’ve become a vital channel of influence and accountability between government and society.

Secondly, it’s clear that the political dimensions of democracy will be undermined if economic conditions and inequalities are getting worse, so democracy promotion efforts need to be delinked from pressures to adopt neo-liberal economic policies. Western interests need to do more to prove that they are not supporting democracy primarily as a means to further their economic interest in ‘free markets.’ That’s why the European Union is supporting a growing number of projects designed to build up social insurance schemes during the early phases of democratic transitions. European diplomats, at least, say that they see themselves as supporters of social and economic democracy.

Donors are becoming more willing to support the role of labor unions in pro-democracy coalition-building; and to protect labor standards as a crucial part of political transitions in countries as diverse as Tunisia, Georgia, China, Egypt and Ecuador. But they should do more to assess how the embedded structures of economic power can undermine the quality of democratic processes. Support for civil society organizations that are keen on exploring heterodox economic models should also be stepped up.

Thirdly, non-Western structures and traditions can help to reduce violent conflict successfully. Tribal chiefs, traditional decision-making circles and customary dispute resolution mechanisms are commonplace in Africa and Asia, and have much to teach their counterparts in the West. In Afghanistan, for example, international organizations realized that the standard institutions of Western liberal democracy were gaining little traction, and were probably deepening rather than healing pre-existing divisions, so they’ve started to support local-level deliberative forums instead.

Something similar is happening in the Balkans, where the United States and the European Union are giving priority to locally tailored, consensual power-sharing arrangements. The United Nations is working with customary justice systems in Somalia. And in South Sudan and Kenya, donors have worked with tribal chiefs and supported traditional authorities to promote a better understanding of human rights and gender justice issues. These forms of power-sharing and ‘consensual communitarianism’ can be quite effective in protecting minorities while also encouraging dialogue and deliberation.

As these brief examples show, different countries can both offer and receive ideas about democratic transformation regardless of geography, though this is never straightforward. It involves finding a balance between defending genuinely-universal norms on the one hand, and encouraging democratic experimentation on the other. This is a thin line to walk, and it requires, for example, recognition that the basic precepts of liberal democracy are not synonymous with what can be seen as an amoral individualism, particularly in highly religious communities.

Pro-democracy reformers and civic groups in non-Western countries often take international organizations to task for pushing too hard on questions of ‘Western liberal rights’ rather than supporting variations to the standard, individualist template, even where tribal structures and traditional conflict-resolution mechanisms work reasonably well. This has led to resistance against international support in places as diverse as Libya, Mali and Pakistan…..

Academic critical theorists argue that Western democracy promoters fail to take alternative models of democracy on board because they would endanger their own geostrategic and economic interests….(More)”

Five principles for applying data science for social good


Jake Porway at O’Reilly: “….Every week, a data or technology company declares that it wants to “do good” and there are countless workshops hosted by major foundations musing on what “big data can do for society.” Add to that a growing number of data-for-good programs from Data Science for Social Good’s fantastic summer program toBayes Impact’s data science fellowships to DrivenData’s data-science-for-good competitions, and you can see how quickly this idea of “data for good” is growing.

Yes, it’s an exciting time to be exploring the ways new datasets, new techniques, and new scientists could be deployed to “make the world a better place.” We’ve already seen deep learning applied to ocean health,satellite imagery used to estimate poverty levels, and cellphone data used to elucidate Nairobi’s hidden public transportation routes. And yet, for all this excitement about the potential of this “data for good movement,” we are still desperately far from creating lasting impact. Many efforts will not only fall short of lasting impact — they will make no change at all….

So how can these well-intentioned efforts reach their full potential for real impact? Embracing the following five principles can drastically accelerate a world in which we truly use data to serve humanity.

1. “Statistics” is so much more than “percentages”

We must convey what constitutes data, what it can be used for, and why it’s valuable.

There was a packed house for the March 2015 release of the No Ceilings Full Participation Report. Hillary Clinton, Melinda Gates, and Chelsea Clinton stood on stage and lauded the report, the culmination of a year-long effort to aggregate and analyze new and existing global data, as the biggest, most comprehensive data collection effort about women and gender ever attempted. One of the most trumpeted parts of the effort was the release of the data in an open and easily accessible way.

I ran home and excitedly pulled up the data from the No Ceilings GitHub, giddy to use it for our DataKind projects. As I downloaded each file, my heart sunk. The 6MB size of the entire global dataset told me what I would find inside before I even opened the first file. Like a familiar ache, the first row of the spreadsheet said it all: “USA, 2009, 84.4%.”

What I’d encountered was a common situation when it comes to data in the social sector: the prevalence of inert, aggregate data. ….

2. Finding problems can be harder than finding solutions

We must scale the process of problem discovery through deeper collaboration between the problem holders, the data holders, and the skills holders.

In the immortal words of Henry Ford, “If I’d asked people what they wanted, they would have said a faster horse.” Right now, the field of data science is in a similar position. Framing data solutions for organizations that don’t realize how much is now possible can be a frustrating search for faster horses. If data cleaning is 80% of the hard work in data science, then problem discovery makes up nearly the remaining 20% when doing data science for good.

The plague here is one of education. …

3. Communication is more important than technology

We must foster environments in which people can speak openly, honestly, and without judgment. We must be constantly curious about each other.

At the conclusion of one of our recent DataKind events, one of our partner nonprofit organizations lined up to hear the results from their volunteer team of data scientists. Everyone was all smiles — the nonprofit leaders had loved the project experience, the data scientists were excited with their results. The presentations began. “We used Amazon RedShift to store the data, which allowed us to quickly build a multinomial regression. The p-value of 0.002 shows …” Eyes glazed over. The nonprofit leaders furrowed their brows in telegraphed concentration. The jargon was standing in the way of understanding the true utility of the project’s findings. It was clear that, like so many other well-intentioned efforts, the project was at risk of gathering dust on a shelf if the team of volunteers couldn’t help the organization understand what they had learned and how it could be integrated into the organization’s ongoing work…..

4. We need diverse viewpoints

To tackle sector-wide challenges, we need a range of voices involved.

One of the most challenging aspects to making change at the sector level is the range of diverse viewpoints necessary to understand a problem in its entirety. In the business world, profit, revenue, or output can be valid metrics of success. Rarely, if ever, are metrics for social change so cleanly defined….

Challenging this paradigm requires diverse, or “collective impact,” approaches to problem solving. The idea has been around for a while (h/t Chris Diehl), but has not yet been widely implemented due to the challenges in successful collective impact. Moreover, while there are many diverse collectives committed to social change, few have the voice of expert data scientists involved. DataKind is piloting a collective impact model called DataKind Labs, that seeks to bring together diverse problem holders, data holders, and data science experts to co-create solutions that can be applied across an entire sector-wide challenge. We just launchedour first project with Microsoft to increase traffic safety and are hopeful that this effort will demonstrate how vital a role data science can play in a collective impact approach.

5. We must design for people

Data is not truth, and tech is not an answer in-and-of-itself. Without designing for the humans on the other end, our work is in vain.

So many of the data projects making headlines — a new app for finding public services, a new probabilistic model for predicting weather patterns for subsistence farmers, a visualization of government spending — are great and interesting accomplishments, but don’t seem to have an end user in mind. The current approach appears to be “get the tech geeks to hack on this problem, and we’ll have cool new solutions!” I’ve opined that, though there are many benefits to hackathons, you can’t just hack your way to social change….(More)”

Anxieties of Democracy


Debate at the Boston Review opened by Ira Katznelson: “…..Across the range of established democracies, we see skepticism bordering on cynicism about whether parliamentary governments can successfully address pressing domestic and global challenges. These doubts about representative democracy speak to both its fairness and its ability to make good policy.

Since the late eighteenth century, liberal constitutional regimes have recurrently collided with forms of autocratic rule—including fascism and communism—that claim moral superiority and greater efficacy. Today, there is no formal autocratic alternative competing with democracy for public allegiance. Instead, two other concerns characterize current debates. First, there is a sense that constitutional democratic forms, procedures, and practices are softening in the face of allegedly more authentic and more efficacious types of political participation—those that take place outside representative institutions and seem closer to the people. There is also widespread anxiety that national borders no longer define a zone of security, a place more or less safe from violent threats and insulated from rules and conditions established by transnational institutions and seemingly inexorable global processes.

These are recent anxieties. One rarely heard them voiced in liberal democracies when, in 1989, Francis Fukuyama designated the triumph of free regimes and free markets “the end of history.” Fukuyama described “the universalization of Western liberal democracy as the final form of human government,“ a “victory of liberalism” in “the realm of ideas and consciousness,” even if “as yet incomplete in the real or material world.” Tellingly, the disruption of this seemingly irresistible trend has recently prompted him to ruminate on the brittleness of democratic institutions across the globe.

Perhaps today’s representative democracies—the ones that do not appear to be candidates for collapse or supersession—are merely confronting ephemeral worries. But the challenge seems starker: a profound crisis of moral legitimacy, practical capacity, and institutional sustainability….(More)

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The multiple meanings of open government data: Understanding different stakeholders and their perspectives


Paper by Felipe Gonzalez-Zapata, and Richard Heeks in Government Information Quarterly: “As a field of practice and research that is fast-growing and a locus for much attention and activity, open government data (OGD) has attracted stakeholders from a variety of origins. They bring with them a variety of meanings for OGD. The purpose of this paper is to show how the different stakeholders and their different perspectives on OGD can be analyzed in a given context. Taking Chile as an OGD exemplar, stakeholder analysis is used to identify and categorize stakeholder groups in terms of their relative power and interest as either primary (in this case, politicians, public officials, public sector practitioners, international organizations) or secondary (civil society activists, funding donors, ICT providers, academics). Stakeholder groups sometimes associated with OGD but absent from significant involvement in Chile – such as private sector- and citizen-users – are also identified.

Four different perspectives on open government data – bureaucratic, political, technological, and economic – are identified from a literature review. Template analysis is used to analyze text – OGD-related reports, conference presentations, and interviews in Chile – in terms of those perspectives. This shows bureaucratic and political perspectives to be more dominant than the other two, and also some presence for a politico-economic perspective not identified from the original literature review. The information value chain is used to identify a “missing middle” in current Chilean OGD perspectives: a lack of connection between a reality of data provision and an aspiration of developmental results. This pattern of perspectives can be explained by the capacities and interests of key stakeholders, with those in turn being shaped by Chile’s history, politics, and institutions….(More)”

New Frontiers in Social Innovation Research


Book edited by Alex Nicholls, Julie Simon, Madeleine Gabriel: “Interest in social innovation continues to rise, from governments setting up social innovation ‘labs’ to large corporations developing social innovation strategies. Yet theory lags behind practice, and this hampers our ability to understand social innovation and make the most of its potential. This collection brings together work by leading social innovation researchers globally, exploring the practice and process of researching social innovation, its nature and effects. Combining theoretical chapters and empirical studies, it shows how social innovation is blurring traditional boundaries between the market, the state and civil society, thereby developing new forms of services, relationships and collaborations. It takes a critical perspective, analyzing potential downsides of social innovation that often remain unexplored or are glossed over, yet concludes with a powerful vision of the potential for social innovation to transform society. It aims to be a valuable resource for students and researchers, as well as policymakers and others supporting and leading social innovation….(More)”

Open Data Charter


International Open Data Charter: “Open data sits at the heart of a global movement with the potential to generate significant social and economic benefits around the world. Through the articulation and adoption of common principles in support of open data, governments can work towards enabling more just, and prosperous societies.

In July 2013, G8 leaders signed the G8 Open Data Charter, which outlined a set of five core open data principles. Many nations and open government advocates welcomed the G8 Charter, but there was a general sense that the principles could be refined and improved to support broader global adoption of open data principles. In the months following, a number of multinational groups initiated their own activities to establish more inclusive and representative open data principles, including the Open Government Partnership’s (OGP) Open Data Working Group….

During 2015, open data experts from governments, multilateral organizations, civil society and private sector, worked together to develop an international Open Data Charter, with six principles for the release of data:

  1. Open by Default;
  2. Timely and Comprehensive;
  3. Accessible and Useable;
  4. Comparable and Interoperable;
  5. For Improved Governance and Citizen Engagement; and
  6. For Inclusive Development and Innovation….

Next Steps

  1. Promote adoption of the Charter.
  2. Continue to bring together a diverse, inclusive group of stakeholders to engage in the process of adoption of the international Open Data Charter.
  3. Develop a governance model for the ongoing management of the Charter, setting out the roles and responsibilities of a Charter partnership, and its working groups in the process of developing supporting resources, consultations, promotion, adoption, and oversight.
  4. Continue development of and consultation on supporting Charter guides, documents and tools, which will be brought together in a searchable, online Resource Centre. ..(More)”

 

What we can learn from the failure of Google Flu Trends


David Lazer and Ryan Kennedy at Wired: “….The issue of using big data for the common good is far more general than Google—which deserves credit, after all, for offering the occasional peek at their data. These records exist because of a compact between individual consumers and the corporation. The legalese of that compact is typically obscure (how many people carefully read terms and conditions?), but the essential bargain is that the individual gets some service, and the corporation gets some data.

What is left out that bargain is the public interest. Corporations and consumers are part of a broader society, and many of these big data archives offer insights that could benefit us all. As Eric Schmidt, CEO of Google, has said, “We must remember that technology remains a tool of humanity.” How can we, and corporate giants, then use these big data archives as a tool to serve humanity?

Google’s sequel to GFT, done right, could serve as a model for collaboration around big data for the public good. Google is making flu-related search data available to the CDC as well as select research groups. A key question going forward will be whether Google works with these groups to improve the methodology underlying GFT. Future versions should, for example, continually update the fit of the data to flu prevalence—otherwise, the value of the data stream will rapidly decay.

This is just an example, however, of the general challenge of how to build models of collaboration amongst industry, government, academics, and general do-gooders to use big data archives to produce insights for the public good. This came to the fore with the struggle (and delay) for finding a way to appropriately share mobile phone data in west Africa during the Ebola epidemic (mobile phone data are likely the best tool for understanding human—and thus Ebola—movement). Companies need to develop efforts to share data for the public good in a fashion that respects individual privacy.

There is not going to be a single solution to this issue, but for starters, we are pushing for a “big data” repository in Boston to allow holders of sensitive big data to share those collections with researchers while keeping them totally secure. The UN has its Global Pulse initiative, setting up collaborative data repositories around the world. Flowminder, based in Sweden, is a nonprofit dedicated to gathering mobile phone data that could help in response to disasters. But these are still small, incipient, and fragile efforts.

The question going forward now is how build on and strengthen these efforts, while still guarding the privacy of individuals and the proprietary interests of the holders of big data….(More)”