Governance Level: international

Data and the City: New report on how public data is fostering civic engagement in urban regions

Curated on Posted on by Stefaan Verhulst

Report by Jonathan Gray and Danny Lämmerhirt: “…demonstrates how public data infrastructures create new kinds of relationships and public spaces between public institutions, civil society groups, and citizens.

In contrast to more supply-oriented ideas around opening (government) data, we argue that data infrastructures are not a mere “raw” resource that can be exploited. Instead they are best conceived as a lively network or ecosystem in which publics creatively use city data to engage with urban institutions.

We intend to spark imagination and conversation about the role that public data infrastructures may play in civic life – not just as neutral instruments for creating knowledge, but also as devices to organise publics and evidence around urban issues; creating shared spaces for public participation and deliberation around official processes and institutions; and securing progress around major social, economic and environmental challenges that cities face.

Our report describes six case studies from cities around the world to demonstrate civil society’s vast action repertoire to engage with urban data infrastructures. One case study demonstrates how a British civil society organisation gathered budget data through freedom of information requests from municipal government. This information was fed into an open database and made accessible to finance experts and scholars in order to allow them to run a “public debt audit”. This audit enabled government officials and the larger public to debate the extent of public debt in British cities and to uncover how a lack of public scrutiny increased profits of financial institutes while putting a strain on the public purse….

In detail, civic actors can engage with data infrastructures to:

  • Identify spaces for intervention. Having cadastral data at hand helped civic actors to identify vacant publicly-owned land, to highlight possibilities for re-using it and to foster community building in neighbourhoods around its re-use.
  • Open spaces for accountability. Using government’s own accounting measurements may provide civil society with evaluation criteria for the effectiveness of public sector programs. Civil society actors may develop a ‘common ground’ or ‘common language’ for engaging with institutions around the issues that they care about.
  • Enable scrutiny of official processes, institutional mechanisms and their effects. By opening public loan data, civil society was able to identify how decentralised fiscal audit mechanisms may have negative effects on public debt.
  • Change the way an issue is framed or perceived. By using aggregated, anonymized data about home addresses of inmates, scholars could shift focus from crime location to the origin of an offender – which helped to address social re-entry programs more effectively.
  • Mobilise community engagement and civic activism. Including facilitating the assembly and organisation of publics around issues….

You can find the full report here.”

How disaster relief efforts could be improved with game theory

Curated on Posted on by Stefaan Verhulst

 in The Conversation: “The number of disasters has doubled globally since the 1980s, with the damage and losses estimated at an average US$100 billion a year since the new millennium, and the number of people affected also growing.

Hurricane Katrina in 2005 was the costliest natural disaster in the U.S., with estimates between $100 billion and $125 billion. The death toll of Katrina is still being debated, but we know that at least 2,000 were killed, and thousands were left homeless.

Worldwide, the toll is staggering. The triple disaster of an earthquake, tsunami and nuclear meltdown that started March 11, 2011 in Fukushima, Japan killed thousands, as did the 2010 Haiti earthquake.

The challenges to disaster relief organizations, including nongovernmental organizations (NGOs), are immense. The majority operate under a single, common, humanitarian principle of protecting the vulnerable, reducing suffering and supporting the quality of life. At the same time, they need to compete for financial funds from donors to ensure their own sustainability.

This competition is intense. The number of registered U.S. nonprofit organizations increased from 12,000 in 1940 to more than 1.5 million in 2012. Approximately $300 billion are donated to charities in the United States each year.

At the same time, many stakeholders believe that humanitarian aid has not been as successful in delivering on its goals due to a lack of coordination among NGOs, which results in duplication of services.

My team and I have been looking at a novel way to improve how we respond to natural disasters. One solution might be game theory.

Getting the right supplies to those in need is daunting

The need for improvement is strong.

Within three weeks following the 2010 earthquake in Haiti, 1,000 NGOs were operating in Haiti. News media attention of insufficient water supplies resulted in immense donations to the Dominican Red Cross to assist its island neighbor. As a result, Port-au-Prince was saturated with cargo and gifts-in-kind, so that shipments from the Dominican Republic had to be halted for multiple days. After the Fukushima disaster, there were too many blankets and items of clothing shipped and even broken bicycles.

In fact, about 60 percent of the items that arrive at a disaster site are nonpriority items. Rescue workers then waste precious time dealing with these nonpriority supplies, whereas victims suffer because they do not receive the critical needs supplies in a timely manner.

The delivery and processing of wrong supplies also adds to the congestion at transportation and distribution nodes, overwhelms storage capabilities and results in further delays of necessary items. The flood of donated inappropriate materiel in response to a disaster is often referred to as the second disaster.

The economics of disaster relief, on the supply side, is challenged as people need to secure donations and ensure the financial sustainability of their organizations. On the demand side, the victims’ needs must be fulfilled in a timely manner while avoiding wasteful duplication and congestion in terms of logistics.

Game theory in disasters

Game theory is a powerful tool for the modeling and analysis of complex behaviors of competing decision-makers. It received a tremendous boost from the contributions of the Nobel laureate John Nash.

Game theory has been used in numerous disciplines, from economics, operations research and management science, to even political science.

In the context of disaster relief, however, there has been little work done in harnessing the scope of game theory. It is, nevertheless, clear that disaster relief organizations compete for financial funds and donors respond to the visibility of the organizations in the delivery of relief supplies to victims through media coverage of disasters….(More)”

Does digital democracy improve democracy?

Curated on Posted on by Stefaan Verhulst

Thamy Pogrebinschi at Open Democracy: “The advancement of tools of information and communications technology (ICT) has the potential to impact democracy nearly as much as any other area, such as science or education. The effects of the digital world on politics and society are still difficult to measure, and the speed with which these new technological tools evolve is often faster than a scholar’s ability to assess them, or a policymaker’s capacity to make them fit into existing institutional designs.

Since their early inception, digital tools and widespread access to the internet have been changing the traditional means of participation in politics, making them more effective. Electoral processes have become more transparent and effective in several countries where the paper ballot has been substituted for electronic voting machines. Petition-signing became a widespread and powerful tool as individual citizens no longer needed to be bothered out in the streets to sign a sheet of paper, but could instead be simultaneously reached by the millions via e-mail and have their names added to virtual petition lists in seconds. Protests and demonstrations have also been immensely revitalized in the internet era. In the last few years, social networks like Facebook and WhatsApp have proved to be a driving-force behind democratic uprisings, by mobilizing the masses, invoking large gatherings, and raising awareness, as was the case of the Arab Spring.

While traditional means of political participation can become more effective by reducing the costs of participation with the use of ICT tools, one cannot yet assure that it would become less subject to distortion and manipulation. In the most recent United States’ elections, computer scientists claimed that electronic voting machines may have been hacked, altering the results in the counties that relied on them. E-petitions can also be easily manipulated, if safe identification procedures are not put in place. And in these times of post-facts and post-truths, protests and demonstrations can result from strategic partisan manipulation of social media, leading to democratic instability as has recently occurred in Brazil. Nevertheless, the distortion and manipulation of these traditional forms of participation were also present before the rise of ICT tools, and regardless, even if the latter do not solve these preceding problems, they may manage to make political processes more effective anyway.

The game-changer for democracy, however, is not the revitalization of the traditional means of political participation like elections, petition-signing and protests through digital tools. Rather, the real change on how democracy works, governments rule, and representation is delivered comes from entirely new means of e-participation, or the so-called digital democratic innovations. While the internet may boost traditional forms of political participation by increasing the quantity of citizens engaged, democratic innovations that rely on ICT tools may change the very quality of participation, thus in the long-run changing the nature of democracy and its institutions….(More)”

What Makes for Successful Open Government Co-Creation?

Curated on Posted on by Stefaan Verhulst

Panthea Lee at Reboot: “The promise of open government is unlocked when diverse actors work together toward a common vision. It requires engagement by citizens, government, civil society, the private sector, and others with a stake in good governance. Yet while collaborators may share values of transparency, participation, accountability, and innovation, the actual practice of co-creating solutions to advance these ideals can be messy…. we’ve surfaced some insights on what leads to successful co-creation; a sample is shared here, illustrated with snapshots from our remarkable partners. The issues each grappled with will be familiar to anyone working in open government, and we hope that their approaches to addressing the issues will inspire. Finally, we were excited to see OGP release draft co-creation standards to help strengthen government and civil society collaborations on the open government agenda, and we hope these stories help illuminate those guidelines.

When setting a vision Build on existing priorities and opportunities

Successful open government programs don’t start from scratch—they align with existing political mandates and institutional assets. By building upon current initiatives, and taking advantage of windows of political opportunity, initiatives can have more widespread and sustainable wins….(More)”.

Open innovation in the public sector

Curated on Posted on by Stefaan Verhulst

Sabrina Diaz Rato in OpenDemocracy: “For some years now, we have been witnessing the emergence of relational, cross-over, participative power. This is the territory that gives technopolitics its meaning and prominence, the basis on which a new vision of democracy – more open, more direct, more interactive – is being developed and embraced. It is a framework that overcomes the closed architecture on which the praxis of governance (closed, hierarchical, one-way) have been cemented in almost all areas. The series The ecosystem of open democracy explores the different aspects of this ongoing transformation….

How can innovation contribute to building an open democracy? The answer is summed up in these ten connectors of innovation.

  1. placing innovation and collective intelligence at the center of public management strategies,
  2. aligning all government areas with clearly-defined goals on associative platforms,
  3. shifting the frontiers of knowledge and action from the institutions to public deliberation on local challenges,
  4. establishing leadership roles, in a language that everyone can easily understand, to organize and plan the wealth of information coming out of citizens’ ideas and to engage those involved in the sustainability of the projects,
  5. mapping the ecosystem and establishing dynamic relations with internal and, particularly, external agents: the citizens,
  6. systematizing the accumulation of information and the creative processes, while communicating progress and giving feedback to the whole community,
  7. preparing society as a whole to experience a new form of governance of the common good,
  8. cooperating with universities, research centers and entrepreneurs in establishing reward mechanisms,
  9. aligning people, technologies, institutions and the narrative with the new urban habits, especially those related to environmental sustainability and public services,
  10. creating education and training programs in tune with the new skills of the 21st century,
  11. building incubation spaces for startups responding to local challenges,
  12. inviting venture capital to generate a satisfactory mix of open innovation, inclusive development policies and local productivity.

Two items in this list are probably the determining factors of any effective innovation process. The first has to do with the correct decision on the mechanisms through which we have pushed the boundaries outwards, so as to bring citizen ideas into the design and co-creation of solutions. This is not an easy task, because it requires a shared organizational mentality on previously non-existent patterns of cooperation, which must now be sustained through dialog and operational dynamics aimed at solving problems defined by external actors – not just any problem.

Another key aspect of the process, related to the breaking down of the institutional barriers that surround and condition action frameworks, is the revaluation of a central figure that we have not yet mentioned here: the policy makers. They are not exactly political leaders or public officials. They are not innovators either. They are the ones within Public Administration who possess highly valuable management skills and knowledge, but who are constantly colliding against the glittering institutional constellations that no longer work….(More)”

Curating Research Data: Practical Strategies for Your Digital Repository

Curated on Posted on by Stefaan Verhulst

Two books edited by Lisa R. Johnston: “Data are becoming the proverbial coin of the digital realm: a research commodity that might purchase reputation credit in a disciplinary culture of data sharing, or buy transparency when faced with funding agency mandates or publisher scrutiny. Unlike most monetary systems, however, digital data can flow in all too great an abundance. Not only does this currency actually “grow” on trees, but it comes from animals, books, thoughts, and each of us! And that is what makes data curation so essential. The abundance of digital research data challenges library and information science professionals to harness this flow of information streaming from research discovery and scholarly pursuit and preserve the unique evidence for future use.

In two volumes—Practical Strategies for Your Digital Repository and A Handbook of Current Practice—Curating Research Data presents those tasked with long-term stewardship of digital research data a blueprint for how to curate those data for eventual reuse. Volume One explores the concepts of research data and the types and drivers for establishing digital data repositories. Volume Two guides you across the data lifecycle through the practical strategies and techniques for curating research data in a digital repository setting. Data curators, archivists, research data management specialists, subject librarians, institutional repository managers, and digital library staff will benefit from these current and practical approaches to data curation.

Digital data is ubiquitous and rapidly reshaping how scholarship progresses now and into the future. The information expertise of librarians can help ensure the resiliency of digital data, and the information it represents, by addressing how the meaning, integrity, and provenance of digital data generated by researchers today will be captured and conveyed to future researchers….(More)”

Data Disrupts Corruption

Curated on Posted on by Stefaan Verhulst

Carlos Santiso & Ben Roseth at Stanford Social Innovation Review: “…The Panama Papers scandal demonstrates the power of data analytics to uncover corruption in a world flooded with terabytes needing only the computing capacity to make sense of it all. The Rousse impeachment illustrates how open data can be used to bring leaders to account. Together, these stories show how data, both “big” and “open,” is driving the fight against corruption with fast-paced, evidence-driven, crowd-sourced efforts. Open data can put vast quantities of information into the hands of countless watchdogs and whistleblowers. Big data can turn that information into insight, making corruption easier to identify, trace, and predict. To realize the movement’s full potential, technologists, activists, officials, and citizens must redouble their efforts to integrate data analytics into policy making and government institutions….

Making big data open cannot, in itself, drive anticorruption efforts. “Without analytics,” a 2014 White House report on big data and individual privacy underscored, “big datasets could be stored, and they could be retrieved, wholly or selectively. But what comes out would be exactly what went in.”

In this context, it is useful to distinguish the four main stages of data analytics to illustrate its potential in the global fight against corruption: Descriptive analytics uses data to describe what has happened in analyzing complex policy issues; diagnostic analytics goes a step further by mining and triangulating data to explain why a specific policy problem has happened, identify its root causes, and decipher underlying structural trends; predictive analytics uses data and algorithms to predict what is most likely to occur, by utilizing machine learning; and prescriptive analytics proposes what should be done to cause or prevent something from happening….

Despite the big data movement’s promise for fighting corruption, many challenges remain. The smart use of open and big data should focus not only on uncovering corruption, but also on better understanding its underlying causes and preventing its recurrence. Anticorruption analytics cannot exist in a vacuum; it must fit in a strategic institutional framework that starts with quality information and leads to reform. Even the most sophisticated technologies and data innovations cannot prevent what French novelist Théophile Gautier described as the “inexplicable attraction of corruption, even amongst the most honest souls.” Unless it is harnessed for improvements in governance and institutions, data analytics will not have the impact that it could, nor be sustainable in the long run…(More)”.

Why Big Data Is a Big Deal for Cities

Curated on Posted on by Stefaan Verhulst

John M. Kamensky in Governing: “We hear a lot about “big data” and its potential value to government. But is it really fulfilling the high expectations that advocates have assigned to it? Is it really producing better public-sector decisions? It may be years before we have definitive answers to those questions, but new research suggests that it’s worth paying a lot of attention to.

University of Kansas Prof. Alfred Ho recently surveyed 65 mid-size and large cities to learn what is going on, on the front line, with the use of big data in making decisions. He found that big data has made it possible to “change the time span of a decision-making cycle by allowing real-time analysis of data to instantly inform decision-making.” This decision-making occurs in areas as diverse as program management, strategic planning, budgeting, performance reporting and citizen engagement.

Cities are natural repositories of big data that can be integrated and analyzed for policy- and program-management purposes. These repositories include data from public safety, education, health and social services, environment and energy, culture and recreation, and community and business development. They include both structured data, such as financial and tax transactions, and unstructured data, such as recorded sounds from gunshots and videos of pedestrian movement patterns. And they include data supplied by the public, such as the Boston residents who use a phone app to measure road quality and report problems.

These data repositories, Ho writes, are “fundamental building blocks,” but the challenge is to shift the ownership of data from separate departments to an integrated platform where the data can be shared.

There’s plenty of evidence that cities are moving in that direction and that they already are systematically using big data to make operational decisions. Among the 65 cities that Ho examined, he found that 49 have “some form of data analytics initiatives or projects” and that 30 have established “a multi-departmental team structure to do strategic planning for these data initiatives.”….The effective use of big data can lead to dialogs that cut across school-district, city, county, business and nonprofit-sector boundaries. But more importantly, it provides city leaders with the capacity to respond to citizens’ concerns more quickly and effectively….(More)”

Why We Make Free, Public Information More Accessible

Curated on Posted on by Stefaan Verhulst

Gabi Fitz and Lisa Brooks in Philantopic: “One of the key roles the nonprofit sector plays in civil society is providing evidence about social problems and their solutions. Given recent changes to policies regarding the sharing of knowledge and evidence by federal agencies, that function is more critical than ever.

Nonprofits deliver more than direct services such as running food banks or providing shelter to people who are homeless. They also collect and share data, evidence, and lessons learned so as to help all of us understand complex and difficult problems.

Those efforts not only serve to illuminate and benchmark our most pressing social problems, they also inform the actions we take, whether at the individual, organizational, community, or policy level. Often, they provide the evidence in “evidence-based” decision making, not to mention the knowledge that social sector organizations and policy makers rely on when shaping their programs and services and individual citizens turn to inform their own engagement.

In January 2017, several U.S. government agencies, including the Environmental Protection Agency and the Departments of Health and Human Services and Agriculture, were ordered by officials of the incoming Trump administration not to share anything that could be construed as controversial through official communication channels such as websites and social media channels. (See “Federal Agencies Told to Halt External Communications.”) Against that backdrop, the nonprofit sector’s interest in generating and sharing evidence has become more urgent than ever…..

Providing access to evidence and lessons learned is always important, but in light of recent events, we believe it’s more necessary than ever. That’s why we are asking for your help in providing — and preserving — access to this critical knowledge base.

Over the next few months, we will be updating and maintaining special collections of non-academic research on the following topics and need lead curators with issue expertise to lend us a hand. IssueLab special collections are an effort to contextualize important segments of the growing evidence base we curate, and are one of the ways we  help visitors to the platform learn about nonprofit organizations and resources that may be useful to their work and knowledge-gathering efforts.

Possible special collection topics to be updated or curated:

→ Access to reproductive services (new)
→ Next steps for ACA
→ Race and policing
→ Immigrant detention and deportation
→ Climate change and extractive mining (new)
→ Veterans affairs
→ Gun violence

If you are a researcher, knowledge broker, or service provider in any of these fields of practice, please consider volunteering as a lead curator. …(More)”

Corporate Social Responsibility for a Data Age

Curated on Posted on by Stefaan Verhulst

Stefaan G. Verhulst in the Stanford Social Innovation Review: “Proprietary data can help improve and save lives, but fully harnessing its potential will require a cultural transformation in the way companies, governments, and other organizations treat and act on data….

We live, as it is now common to point out, in an era of big data. The proliferation of apps, social media, and e-commerce platforms, as well as sensor-rich consumer devices like mobile phones, wearable devices, commercial cameras, and even cars generate zettabytes of data about the environment and about us.

Yet much of the most valuable data resides with the private sector—for example, in the form of click histories, online purchases, sensor data, and call data records. This limits its potential to benefit the public and to turn data into a social asset. Consider how data held by business could help improve policy interventions (such as better urban planning) or resiliency at a time of climate change, or help design better public services to increase food security.

Data responsibility suggests steps that organizations can take to break down these private barriers and foster so-called data collaboratives, or ways to share their proprietary data for the public good. For the private sector, data responsibility represents a new type of corporate social responsibility for the 21st century.

While Nepal’s Ncell belongs to a relatively small group of corporations that have shared their data, there are a few encouraging signs that the practice is gaining momentum. In Jakarta, for example, Twitter exchanged some of its data with researchers who used it to gather and display real-time information about massive floods. The resulting website, PetaJakarta.org, enabled better flood assessment and management processes. And in Senegal, the Data for Development project has brought together leading cellular operators to share anonymous data to identify patterns that could help improve health, agriculture, urban planning, energy, and national statistics.

Examples like this suggest that proprietary data can help improve and save lives. But to fully harness the potential of data, data holders need to fulfill at least three conditions. I call these the “the three pillars of data responsibility.”…

The difficulty of translating insights into results points to some of the larger social, political, and institutional shifts required to achieve the vision of data responsibility in the 21st century. The move from data shielding to data sharing will require that we make a cultural transformation in the way companies, governments, and other organizations treat and act on data. We must incorporate new levels of pro-activeness, and make often-unfamiliar commitments to transparency and accountability.

By way of conclusion, here are four immediate steps—essential but not exhaustive—we can take to move forward:

  1. Data holders should issue a public commitment to data responsibility so that it becomes the default—an expected, standard behavior within organizations.
  2. Organizations should hire data stewards to determine what and when to share, and how to protect and act on data.
  3. We must develop a data responsibility decision tree to assess the value and risk of corporate data along the data lifecycle.
  4. Above all, we need a data responsibility movement; it is time to demand data responsibility to ensure data improves and safeguards people’s lives…(More)”
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