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Stefaan Verhulst

Paper by Ishani Mukherjee and Sarah Giest: “Behavioural Insights Teams (BITs) have gained prominence in government as policy advisors and are increasingly linked to the way policy instruments are designed. Despite the rise of BITs as unique knowledge brokers mediating the use of behavioral insights for policymaking, they remain underexplored in the growing literature on policy advice and advisory systems. The article emphasizes that the visible impact that BITs have on the content of policy instruments, the level of political support they garner and their structural diversity in different political departments, all set them apart from typical policy brokers in policy advisory systems connecting the science-policy divide…(More)”.

Behavioural Insights Teams (BITs) and Policy Change: An Exploration of Impact, Location, and Temporality of Policy Advice

Paper by Ciro Cattuto and Alessandro Spina: “Amid the outbreak of the SARS-CoV-2 pandemic, there has been a call to use innovative digital tools for the purpose of protecting public health. There are a number of proposals to embed digital solutions into the regulatory strategies adopted by public authorities to control the spread of the coronavirus more effectively. They range from algorithms to detect population movements by using telecommunication data to the use of artificial intelligence and high-performance computing power to detect patterns in the spread of the virus. However, the use of a mobile phone application for contact tracing is certainly the most popular.

These proposals, which have a very powerful persuasive force, and have apparently contributed to the success of public health response in a few Asian countries, also raise questions and criticisms in particular with regard to the risks that these novel digital surveillance systems pose for privacy and in the long term for our democracies.

With this short paper, we would like to describe the pattern that has led to the institutionalization of digital tools for public health purposes. By tracing their origins to “digital epidemiology”, an approach originated in the early 2010s, we will expose that, whilst there exists limited experimental knowledge on the use of digital tools for tracking disease, this is the first time in which they are being introduced by policy-makers into the set of non-clinical emergency strategies to a major public health crisis….(More)”

The institutionalization of digital public health: lessons learned from the COVID19 app

Book by Dariusz Jemielniak and Aleksandra Przegalinska: “Humans are hard-wired for collaboration, and new technologies of communication act as a super-amplifier of our natural collaborative mindset. This volume in the MIT Press Essential Knowledge series examines the emergence of a new kind of social collaboration enabled by networked technologies. This new collaborative society might be characterized as a series of services and startups that enable peer-to-peer exchanges and interactions though technology. Some believe that the economic aspects of the new collaboration have the potential to make society more equitable; others see collaborative communities based on sharing as a cover for social injustice and user exploitation.

The book covers the “sharing economy,” and the hijacking of the term by corporations; different models of peer production, and motivations to participate; collaborative media production and consumption, the definitions of “amateur” and “professional,” and the power of memes; hactivism and social movements, including Anonymous and anti-ACTA protest; collaborative knowledge creation, including citizen science; collaborative self-tracking; and internet-mediated social relations, as seen in the use of Instagram, Snapchat, and Tinder. Finally, the book considers the future of these collaborative tendencies and the disruptions caused by fake news, bots, and other challenges….(More)”.

Collaborative Society

Book by Philip N. Howard: “Artificially intelligent “bot” accounts attack politicians and public figures on social media. Conspiracy theorists publish junk news sites to promote their outlandish beliefs. Campaigners create fake dating profiles to attract young voters. We live in a world of technologies that misdirect our attention, poison our political conversations, and jeopardize our democracies. With massive amounts of social media and public polling data, and in-depth interviews with political consultants, bot writers, and journalists, Philip N. Howard offers ways to take these “lie machines” apart.
 
Lie Machines is full of riveting behind-the-scenes stories from the world’s biggest and most damagingly successful misinformation initiatives—including those used in Brexit and U.S. elections. Howard not only shows how these campaigns evolved from older propaganda operations but also exposes their new powers, gives us insight into their effectiveness, and explains how to shut them down…(More)”.

Lie Machines: How to Save Democracy from Troll Armies, Deceitful Robots, Junk News Operations, and Political Operatives

Paper by Jin Wang et al: “Data sharing plays a fundamental role in providing data resources for geographic modeling and simulation. Although there are many successful cases of data sharing through the web, current practices for sharing data mostly focus on data publication using metadata at the file level, which requires identifying, restructuring and synthesizing raw data files for further usage. In hydrology, because the same hydrological information is often stored in data files with different formats, modelers should identify the required information from multisource data sets and then customize data requirements for their applications. However, these data customization tasks are difficult to repeat, which leads to repetitive labor. This paper presents a data sharing method that provides a solution for data manipulation based on a structured data description model rather than raw data files. With the structured data description model, multisource hydrological data can be accessed and processed in a unified way and published as data services using a designed data server. This study also proposes a data configuration manager to customize data requirements through an interactive programming tool, which can help in using the data services. In addition, a component-based data viewer is developed for the visualization of multisource data in a sharable visualization scheme. A case study that involves sharing and applying hydrological data is designed to examine the applicability and feasibility of the proposed data sharing method….(More)”.

A data sharing method in the open web environment: Data sharing in hydrology

Paper by Enrique Estellés-Arolas: “Neighbours sharing information about robberies in their district through social networking platforms, citizens and volunteers posting about the irregularities of political elections on the Internet, and internauts trying to identify a suspect of a crime: in all these situations, people who share different degrees of relationship collaborate through the Internet and other technologies to try to help with or solve an offence. T

he crowd, which is sometimes seen as a threat, in these cases becomes an invaluable resource that can complement law enforcement through collective intelligence. Owing to the increasing growth of such initiatives, this article conducts a systematic review of the literature to identify the elements that characterize them and to find the conditions that make them work successfully….(More)”.

Using crowdsourcing for a safer society: When the crowd rules

Paper by Holger Straßheim: “Some argue that the global rise of behavioral approaches challenges the rationalist tradition in public policy. Others fear that it could undermine deliberation and public reasoning. This paper focuses on the worldwide rise and spread of behavioral expertise and behavioral public policy. It provides a general insight in terms of the role of expertise, the science-policy nexus and the distribution of epistemic competences in public policy. Based on an extensive literature review, the emergence and consequences of behavioral-expert networks are assessed. It will be suggested that it is necessary to break free from the microfocus proposed by behavioral public policy and to pay more attention to the institutional and cultural constellations of knowledge- and decision-making in democracies….(More)”.

The Rise and Spread of Behavioral Public Policy: An Opportunity for Critical Research and Self-Reflection

Book edited by James L. Perry: “Two big ideas serve as the catalyst for the essays collected in this book. The first is the state of governance in the United States, which Americans variously perceive as broken, frustrating, and unresponsive. Editor James Perry observes in his Introduction that this perception is rooted in three simultaneous developments: government’s failure to perform basic tasks that once were taken for granted, an accelerating pace of change that quickly makes past standards of performance antiquated, and a dearth of intellectual capital that generate the capacity to bridge the gulf between expectations and performance. The second idea hearkens back to the Progressive era, when Americans revealed themselves to be committed to better administration of their government at all levels—federal, state, and local.

These two ideas—the diminishing capacity for effective governance and Americans’ expectations for reform—are veering in opposite directions. Contributors to Public Service and Good Governance for the Twenty-First Century explore these central ideas by addressing such questions as: what is the state of government today? Can future disruptions of governance and public service be anticipated? What forms of government will emerge from the past and what institutions and structures will be needed to meet future challenges? And lastly, and perhaps most importantly, what knowledge, skills, and abilities will need to be fostered for tomorrow’s civil servants to lead and execute effectively?

Public Service and Good Governance for the Twenty-First Century offers recommendations for bending the trajectories of governance capacity and reform expectations toward convergence, including reversing the trend of administrative disinvestment, developing talent for public leadership through higher education, creating a federal civil service to meet future needs, and rebuilding bipartisanship so that the sweeping changes needed to restore good government become possible….(More)”

Public Service and Good Governance for the Twenty-First Century

Paper by Mary A. Majumder and Amy L. McGuire: “As citizen science expands, questions arise regarding the applicability of norms and policies created in the context of conventional science. This article focuses on data sharing in the conduct of health-related citizen science, asking whether citizen scientists have obligations to share data and publish findings on par with the obligations of professional scientists. We conclude that there are good reasons for supporting citizen scientists in sharing data and publishing findings, and we applaud recent efforts to facilitate data sharing. At the same time, we believe it is problematic to treat data sharing and publication as ethical requirements for citizen scientists, especially where there is the potential for burden and harm without compensating benefit…(More)”.

Data Sharing in the Context of Health-Related Citizen Science

Blog by Amen Ra Mashariki: “Governments should protect the data and privacy rights of their communities even during emergencies. It is a false trade-off to require more data without protection. We can and should do both — collect the appropriate data and protect it. Establishing and protecting the data rights and privacy of our communities’ underserved, underrepresented, disabled, and vulnerable residents is the only way we can combat the negative impact of COVID-19 or any other crisis.

Building trust is critical. Governments can strengthen data privacy protocols, beef up transparency mechanisms, and protect the public’s data rights in the name of building trust — especially with the most vulnerable populations. Otherwise, residents will opt out of engaging with government, and without their information, leaders like first responders will be blind to their existence when making decisions and responding to emergencies, as we are seeing with COVID-19.

As Chief Analytics Officer of New York City, I often remembered the words of Defense Secretary Donald Rumsfeld, especially with regards to using data during emergencies, that there are “known knowns, known unknowns, and unknown unknowns, and we will always get hurt by the unknown unknowns.” Meaning the things we didn’t know — the data that we didn’t have — was always going to be what hurt us during times of emergencies….

There are three key steps that governments can do right now to use data most effectively to respond to emergencies — both for COVID-19 and in the future.

Seek Open Data First

In times of crisis and emergencies, many believe that government and private entities, either purposefully or inadvertently, are willing to trample on the data rights of the public in the name of appropriate crisis response. This should not be a trade-off. We can respond to crises while keeping data privacy and data rights in the forefront of our minds. Rather than dismissing data rights, governments can start using data that is already openly available. This seems like a simple step, but it does two very important things. First, it forces you to understand the data that is already available in your jurisdiction. Second, it grows your ability to fill the gaps with respect to what you know about the city by looking outside of city government. …(More)”.

Protecting Data Privacy and Rights During a Crisis are Key to Helping the Most Vulnerable in Our Community

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