Tactical Data Engagement guide


and  at the Sunlight Foundation: “United States cities face a critical challenge when it comes to fulfilling the potential of open data: that of moving beyond the mere provision of access to data toward the active facilitation of stakeholder use of data in ways that bring about community impact. Sunlight has been researching innovative projects and strategies that have helped cities tackle this challenge head on. Today we’re excited to share a guide for our new approach to open data in U.S. cities–an approach we’re calling “Tactical Data Engagement,” designed to drive community impact by connecting the dots between open data, public stakeholders, and collaborative action.

Access is critical but we have more work to do

Many city leaders have realized that open data is a valuable innovation to bring to city hall, and have invoked the promise of a new kind of relationship between government and the people: one where government works with the public in new collaborative ways. City mayors, managers, council members, and other leaders are making commitments to this idea in the US, with over 60 US cities having adopted open data reforms since 2006, nearly 20 in 2016 alone–many with the help of the Sunlight team as part of our support of the What Works Cities initiative. While cities are building the public policy infrastructure for open data, they are also making technical advancements as municipal IT and innovation departments build or procure new open data portals and release more and more government datasets proactively online….

However, … these developments alone are not enough. Portals and policies are critical infrastructure for the data-driven open government needed in the 21st century; but there has been and continues to be a disconnect between the rhetoric and promise of open data when compared to what it has meant in terms of practical reform. Let us be clear: the promise of open data is not about data on a website. The promise is for a new kind of relationship between government and the governed, one that brings about collaborative opportunities for impact. While many reforms have been successful in building an infrastructure of access, many have fallen short in leveraging that infrastructure for empowering residents and driving community change.

Announcing Tactical Data Engagement

In order to formulate an approach to help cities go further with their open data programs, Sunlight has been conducting an extensive review of the relevant literature on open data impact, and of the literature on approaches to community stakeholder engagement and co-creation (both civic-tech or open-data driven as well as more traditional)….

The result so far is our “Tactical Data Engagement” Guide (still in beta) designed to address what we see as the the most critical challenge currently facing the open data movement: helping city open data programs build on a new infrastructure of access to facilitate the collaborative use of open data to empower residents and create tangible community impact…(More)”

A solution to the single-question crowd wisdom problem


Dražen Prelec,H. Sebastian Seung & John McCoy in Nature: “Once considered provocative, the notion that the wisdom of the crowd is superior to any individual has become itself a piece of crowd wisdom, leading to speculation that online voting may soon put credentialed experts out of business. Recent applications include political and economic forecasting, evaluating nuclear safety, public policy, the quality of chemical probes, and possible responses to a restless volcano. Algorithms for extracting wisdom from the crowd are typically based on a democratic voting procedure. They are simple to apply and preserve the independence of personal judgment. However, democratic methods have serious limitations. They are biased for shallow, lowest common denominator information, at the expense of novel or specialized knowledge that is not widely shared. Adjustments based on measuring confidence do not solve this problem reliably. Here we propose the following alternative to a democratic vote: select the answer that is more popular than people predict. We show that this principle yields the best answer under reasonable assumptions about voter behaviour, while the standard ‘most popular’ or ‘most confident’ principles fail under exactly those same assumptions. Like traditional voting, the principle accepts unique problems, such as panel decisions about scientific or artistic merit, and legal or historical disputes. The potential application domain is thus broader than that covered by machine learning and psychometric methods, which require data across multiple questions…(More).

Citizen Empowerment and Innovation in the Data-Rich City


Book edited by C. Certomà, M. Dyer, L. Pocatilu and F. Rizzi: “… analyzes the ongoing transformation in the “smart city” paradigm and explores the possibilities that technological innovations offer for the effective involvement of ordinary citizens in collective knowledge production and decision-making processes within the context of urban planning and management. To so, it pursues an interdisciplinary approach, with contributions from a range of experts including city managers, public policy makers, Information and Communication Technology (ICT) specialists, and researchers. The first two parts of the book focus on the generation and use of data by citizens, with or without institutional support, and the professional management of data in city governance, highlighting the social connectivity and livability aspects essential to vibrant and healthy urban environments. In turn, the third part presents inspiring case studies that illustrate how data-driven solutions can empower people and improve urban environments, including enhanced sustainability. The book will appeal to all those who are interested in the required transformation in the planning, management, and operations of data-rich cities and the ways in which such cities can employ the latest technologies to use data efficiently, promoting data access, data sharing, and interoperability….(More)”.

Social Media and the Internet of Things towards Data-Driven Policymaking in the Arab World: Potential, Limits and Concerns


Paper by Fadi Salem: “The influence of social media has continued to grow globally over the past decade. During 2016 social media played a highly influential role in what has been described as a “post truth” era in policymaking, diplomacy and political communication. For example, social media “bots” arguably played a key role in influencing public opinion globally, whether on the political or public policy levels. Such practices rely heavily on big data analytics, artificial intelligence and machine learning algorithms, not just in gathering and crunching public views and sentiments, but more so in pro-actively influencing public opinions, decisions and behaviors. Some of these government practices undermined traditional information mediums, triggered foreign policy crises, impacted political communication and disrupted established policy formulation cycles.

On the other hand, the digital revolution has expanded the horizon of possibilities for development, governance and policymaking. A new disruptive transformation is characterized by a fusion of inter-connected technologies where the digital, physical and biological worlds converge. This inter-connectivity is generating — and consuming — an enormous amount of data that is changing the ways policies are conducted, decisions are taken and day-to-day operations are carried out. Within this context, ‘big data’ applications are increasingly becoming critical elements of policymaking. Coupled with the rise of a critical mass of social media users globally, this ubiquitous connectivity and data revolution is promising major transformations in modes of governance, policymaking and citizen-government interaction.

In the Arab region, observations from public sector and decision-making organization suggest that there is limited understanding of the real potential, the limitations, and the public concerns surrounding these big data sources in the Arab region. This report contextualizes the findings in light of the socio-technical transformations taking place in the Arab region, by exploring the growth of social media and building on past editions in the series. The objective is to explore and assess multiple aspects of the ongoing digital transformation in the Arab world and highlight some of the policy implications on a regional level. More specifically, the report aims to better inform our understanding of the convergence of social media and IoT data as sources of big data and their potential impact on policymaking and governance in the region. Ultimately, in light of the availability of massive amount of data from physical objects and people, the questions tackled in the research are: What is the potential for data-driven policymaking and governance in the region? What are the limitations? And most importantly, what are the public concerns that need to be addressed by policymakers while they embark on next phase of the digital governance transformation in the region?

In the Arab region, there are already numerous experiments and applications where data from social media and the “Internet of Things” (IoT) are informing and influencing government practices as sources of big data, effectively changing how societies and governments interact. The report has two main parts. In the first part, we explore the questions discussed in the previous paragraphs through a regional survey spanning the 22 Arab countries. In the second part, it explores growth and usage trends of influential social media platforms across the region, including Facebook, Twitter, Linkedin and, for the first time, Instagram. The findings highlight important changes — and some stagnation — in the ways social media is infiltrating demographic layers in Arab societies, be it gender, age and language. Together, the findings provide important insights for guiding policymakers, business leaders and development efforts. More specifically, these findings can contribute to shaping directions and informing decisions on the future of governance and development in the Arab region….(More)”

Big data and the measurement of public organizations’ performance and efficiency: The state-of-the-art


, and  in Public Policy and Administration: “The increasing availability of statistical data raises opportunities for ‘big’ data and learning analytics. Here, we review the academic literature and research relating to the use of big data analytics in the public sector, and its contribution to public organizations’ performance and efficiency. We outline the advantages as well as the limitations of using big data in public sector organizations and identify research gaps in recent studies and interesting areas for future research….(More)”

 

Data Maturity Framework


Center for Data Science and Public Policy: “Want to know if your organization is ready to start a data-driven social impact project? See where you are in our data maturity framework and how to improve your organizational, tech, and data readiness.

The Data Maturity Framework has three content areas:

  • Problem Definition
  • Data and Technology Readiness
  • Organizational Readiness

The Data Maturity Framework consists of:

  • A questionnaire and survey to assess readiness
  • Data and Technology Readiness Matrix
  • Organizational Readiness Matrix

The framework materials can be downloaded here, and you can complete our survey here. When we collect enough responses from enough organizations, we’ll launch an aggregate benchmarking report around the state of data in non-profits and government organizations. We ask that each problem be entered as a separate entry (rather than multiple problems from one organization entered in the same response).

We have adapted the Data Maturity Framework for specific projects:

Privacy of Public Data


Paper by Kirsten E. Martin and Helen Nissenbaum: “The construct of an information dichotomy has played a defining role in regulating privacy: information deemed private or sensitive typically earns high levels of protection, while lower levels of protection are accorded to information deemed public or non-sensitive. Challenging this dichotomy, the theory of contextual integrity associates privacy with complex typologies of information, each connected with respective social contexts. Moreover, it contends that information type is merely one among several variables that shape people’s privacy expectations and underpin privacy’s normative foundations. Other contextual variables include key actors – information subjects, senders, and recipients – as well as the principles under which information is transmitted, such as whether with subjects’ consent, as bought and sold, as required by law, and so forth. Prior work revealed the systematic impact of these other variables on privacy assessments, thereby debunking the defining effects of so-called private information.

In this paper, we shine a light on the opposite effect, challenging conventional assumptions about public information. The paper reports on a series of studies, which probe attitudes and expectations regarding information that has been deemed public. Public records established through the historical practice of federal, state, and local agencies, as a case in point, are afforded little privacy protection, or possibly none at all. Motivated by progressive digitization and creation of online portals through which these records have been made publicly accessible our work underscores the need for more concentrated and nuanced privacy assessments, even more urgent in the face of vigorous open data initiatives, which call on federal, state, and local agencies to provide access to government records in both human and machine readable forms. Within a stream of research suggesting possible guard rails for open data initiatives, our work, guided by the theory of contextual integrity, provides insight into the factors systematically shaping individuals’ expectations and normative judgments concerning appropriate uses of and terms of access to information.

Using a factorial vignette survey, we asked respondents to rate the appropriateness of a series of scenarios in which contextual elements were systematically varied; these elements included the data recipient (e.g. bank, employer, friend,.), the data subject, and the source, or sender, of the information (e.g. individual, government, data broker). Because the object of this study was to highlight the complexity of people’s privacy expectations regarding so-called public information, information types were drawn from data fields frequently held in public government records (e.g. voter registration, marital status, criminal standing, and real property ownership).

Our findings are noteworthy on both theoretical and practical grounds. In the first place, they reinforce key assertions of contextual integrity about the simultaneous relevance to privacy of other factors beyond information types. In the second place, they reveal discordance between truisms that have frequently shaped public policy relevant to privacy. …(More)”

 

Tech is moving beyond cities to focus on civic engagement in every U.S. county


 at TechCrunch: “While gridlock has taken hold in a paralyzed Washington, D.C. mayors across the country are taking a pragmatic approach to solving local problems and its time for tech to reach out to them….

The United States has 3,0007 counties. And all of them have an appetite to shift the momentum from the federal government to the communities where people live and work. This can’t just involve coastal cities or urban areas within states. Rather, after Trump’s election, now is the moment to redouble policy efforts in communities across the country from states to rural counties.

Cities from Chicago, Los Angeles, Boston, to New York have been leading the way to think about how to provide better services and engagement opportunities.  They’ve been exciting places where rich networks of talent from academia to philanthropy have been helping foster ecosystems to catalyze new policy solutions….

There are a host of illustrative experiments occurring across communities that are leveraging policy innovation, data, and technology for more responsive and inclusive governance. The engagements that work focus on process to ensure that diverse stakeholders are a part of decision making….

Wisconsin:

In Eau Claire, Wisconsin a local organization called Clear Vision is teaming up with stakeholders on a poverty summit to reduce the number of people living poverty in income insecurity and build more resilient and inclusive communities. Citizen action groups will work on key issues they identify as part of the engagement process.

A key component of this poverty summit is to bring in traditionally marginalized communities into the process including low-income households, rural poor, youth and black and Hispanic communities. There is even a community-supported, nonprofit journalism site to support the local work in Eau Claire, Chippewa, and Dunn counties….

Oregon:

In Oregon, a “Kitchen Table” is enabling residents from across the state to contribute ideas, resources, and feedback to inform public policy. The Kitchen Table enables public officials to consult with representatives about key policy areas, crowdfund, and micro-lend for local startups and community businesses….

Another practice in Oregon is the Citizens Initiative Review, where a representative sampling of citizens convenes for deliberations over several days to discuss state ballot measures.  After being established by the state’s bipartisan legislature in 2009, there have been six random representative samples of citizens for multi-day deliberations to draft voting guides written for the people, by their neighbors….

 

This requires tapping into existing networks and civic organizations, leveraging data, technology and policy innovations, and re-shifting our focus from federal policy towards building an infrastructure of governance that is durable through collective development and buy-in from people…(More)”

Special issue on “the behavioural turn in public policy: new evidence from experiments”


Introduction to the special issue in Economia Politica by Francesco Bogliacino, Cristiano Codagnone and Giuseppe A. Veltri: “Since the publication of the best seller Nudge (Thaler and Sunstein 2008), the growth in the relevance of ‘Behavioural Economics’ (BE) and ‘Nudging’ has been exponential, both in terms of the adoption of behavioural perspectives in policy making and of ongoing academic research. With some simplification three strands can be singled out. First, the widespread application and institutionalisation of behaviourally inspired policy-making beyond the two initial cases of the US and the UK (Lunn 2014; Sousa Lourenço et al. 2016). Second, a discussion within the field of economics as to the place and contribution of BE toward ‘Evidence Based Economics’ (Chetty 2015; Thaler 2016). Third, the explosion between 2010 and 2016 of a multidisciplinary and multi-domain meta-literature of commentaries and essays for and against ‘Nudging’ that deal with its conceptual, theoretical, and philosophical underpinnings, as well as with its political and ethical implications…

In this editorial we briefly consider the three trends outlined above (diffusion of behavioural policy-making, evidence-based economics, and the meta-literature on nudging) and argue in favour of a fruitful dialogue, which is currently missing. In doing this, we sketch the policy triangle of politics, value and evidence as a potential guidance…(More).

Information Isn’t Just Power


Review by Lucy Bernholz  in the Stanford Social Innovation Review:  “Information is power.” This truism pervades Missed Information, an effort by two scientists to examine the role that information now plays as the raw material of modern scholarship, public policy, and institutional behavior. The scholars—David Sarokin, an environmental scientist for the US government, and Jay Schulkin, a research professor of neuroscience at Georgetown University—make this basic case convincingly. In its ever-present, digital, and networked form, data doesn’t just shape government policies and actions—it also creates its own host of controversies. Government policies about collecting, storing, and analyzing information fuel protests and political lobbying, opposing movements for openness and surveillance, and individual acts seen as both treason and heroism. The very fact that two scholars from such different fields are collaborating on this subject is evidence that digitized information has become the lingua franca of present-day affairs.

To Sarokin and Schulkin, the main downside to all this newly available information is that it creates an imbalance of power in who can access and control it. Governments and businesses have visibility into the lives of citizens and customers that is not reciprocated. The US government knows our every move, but we know what our government is doing only when a whistleblower tells us. Businesses have ever more data and ever-finer ways to sort and sift it, yet customers know next to nothing about what is being done with it.

The authors argue, however, that new digital networks also provide opportunities to recalibrate the balance of information and return some power to ordinary citizens. These negotiations are under way all around us. Our current political debates about security versus privacy, and the nature and scope of government transparency, show how the lines of control between governments and the governed are being redrawn. In health care, consumers, advocates, and public policymakers are starting to create online ratings of hospitals, doctors, and the costs of medical procedures. The traditional oneway street of corporate annual reporting is being supplemented by consumer ratings, customer feedback loops, and new information about supply chains and environmental and social factors. Sarokin and Schulkin go to great lengths to show the potential of tools such as comparison guides for patients or sustainability indices for shoppers to enable more informed user decisions.

This argument is important, but it is incomplete. The book’s title, Missed Information, refers to “information that is unintentionally (for the most part) overlooked in the decision-making process—overlooked both by those who provide information and by those who use it.” What is missing from the book, ironically, is a compelling discussion of why this “missed information” is missing. ….

Grouping the book with others of the “Big Data Will Save Us” genre isn’t entirely fair. Sarokin and Schulkin go to great lengths to point out how much of the information we collect is never used for anything, good or bad….(More)”