One Nation Tracked: An investigation into the smartphone tracking industry


Stuart A. Thompson and Charlie Warzel at the New York Times: “…For brands, following someone’s precise movements is key to understanding the “customer journey” — every step of the process from seeing an ad to buying a product. It’s the Holy Grail of advertising, one marketer said, the complete picture that connects all of our interests and online activity with our real-world actions.

Pointillist location data also has some clear benefits to society. Researchers can use the raw data to provide key insights for transportation studies and government planners. The City Council of Portland, Ore., unanimously approved a deal to study traffic and transit by monitoring millions of cellphones. Unicef announced a plan to use aggregated mobile location data to study epidemics, natural disasters and demographics.

For individual consumers, the value of constant tracking is less tangible. And the lack of transparency from the advertising and tech industries raises still more concerns.

Does a coupon app need to sell second-by-second location data to other companies to be profitable? Does that really justify allowing companies to track millions and potentially expose our private lives?

Data companies say users consent to tracking when they agree to share their location. But those consent screens rarely make clear how the data is being packaged and sold. If companies were clearer about what they were doing with the data, would anyone agree to share it?

What about data collected years ago, before hacks and leaks made privacy a forefront issue? Should it still be used, or should it be deleted for good?

If it’s possible that data stored securely today can easily be hacked, leaked or stolen, is this kind of data worth that risk?

Is all of this surveillance and risk worth it merely so that we can be served slightly more relevant ads? Or so that hedge fund managers can get richer?

The companies profiting from our every move can’t be expected to voluntarily limit their practices. Congress has to step in to protect Americans’ needs as consumers and rights as citizens.

Until then, one thing is certain: We are living in the world’s most advanced surveillance system. This system wasn’t created deliberately. It was built through the interplay of technological advance and the profit motive. It was built to make money. The greatest trick technology companies ever played was persuading society to surveil itself….(More)”.

Policy Perspectives on Citizen Science and Crowdsourcing


Special Issue edited by Lea A. Shanley, Alison Parker, Sven Schade, and Aletta Bonn: “Citizen science encompasses a range of methodologies that support meaningful contributions of the public to the advancement of scientific and engineering research and monitoring, in ways that may include identifying research questions; conducting scientific investigations; collecting, processing, and analyzing data; developing scientific hardware and software; and solving complex problems. As an emerging field, citizen science has been described in a variety of ways (e.g., Auerbach et al. 2019Eitzel et al. 2017Hecker et al. 2019Heigl et al. 2019Shanley, Hulbert, and Auerbach 2019). Similarly, crowdsourcing is a methodology that engages a large group of people through an open call to tackle a common task or problem, either as individuals or collectively (Howe and Robinson 2005; Howe 2006). This may include asking the public to submit new ideas, designs, algorithms, or data via an online platform or mobile app, which is sometimes incentivized through a prize or challenge.

The defining characteristic of both citizen science and crowdsourcing, however, is their “location at the point where public participation and knowledge production – or societal context and epistemology – meet, even if that intersection can take many different forms” (Irwin 2015). Irwin argues that these approaches provide an opportunity to bring members of the public and science closer together, to consider the possibilities for a more active “scientific citizenship,” [and] “to link these issues into public policy.” As several recent studies have demonstrated, citizen science and crowdsourcing can help to provide the evidence-base to inform a wide range of management and public policy decisions while fostering civic partnerships with government…

More than two decades after the publication of Irwin’s seminal book on citizen science (Irwin 1995), we see an increasing awareness and use of citizen science by national governments and multilateral organizations to address both scientific and societal challenges (e.g., Haklay 2015Nascimento et al. 2017). Governments in the United States and Europe, for example, have incorporated citizen science and crowdsourcing as part of their Open Science, Open Innovation, Open Government, and/or Open Data initiatives (e.g., OSTP 20132015OECD 2016EC 2016). The United Nations Office for the Coordination of Humanitarian Affairs and the United Nations Platform for Space-based Information for Disaster Management and Emergency Response have used crowdsourcing and citizen science for disaster response and humanitarian relief for nearly a decade (e.g., Shanley et al. 2013), while the United Nations Environment Program is beginning to explore the use of citizen science for addressing the UN Sustainable Development Goals (e.g., Chandler et al. 2017Fritz et al. 2019). This growing support for citizen science and crowdsourcing by government decision-makers and policymakers is a direct result of the focused grassroots efforts of government agency staff, in partnership with professional citizen science associations and organizations such as SciStarter, as well as the strategic positioning of citizen science and crowdsourcing as methods for addressing agency missions and national priorities (e.g., Bowser et al. In preparationGöbel et al. 2019Roger et al. 2019Shanley et al. In preparation). Through our contributions to these initiatives, the editorial team was inspired to propose this Special Issue on Policy Perspectives for Citizen Science….(More)”.

Handbook of Democratic Innovation and Governance


Book edited by Stephen Elstub and Oliver Escobar: “Democracies are currently undergoing a period of both challenge and renewal. Democratic innovations are proliferating in politics, governance, policy, and public administration. This Handbook of Democratic Innovation and Governance advances understanding of democratic innovations by critically reviewing their importance throughout the world. The overarching themes are a focus on citizens and their relationship to these innovations, and the resulting effects on political equality and policy impact.

The Handbook covers different types of democratic innovations; their potential to combat current problems with democracy; the various actors involved; their use in different areas of policy and governance; their application in different parts of the world; and the methods used to research them. Contributors therefore offer a definitive overview of existing research on democratic innovations, while also setting the agenda for future research and practice.

Featuring a critical combination of theoretical, empirical and methodological work on democratic innovations, this insightful Handbook balances depth, originality and accessibility to make it an ideal research companion for scholars and students of democratic governance alike. Public administrators and participation practitioners will also benefit from its guidance on citizen engagement processes….(More)”.

Open Science, Open Data, and Open Scholarship: European Policies to Make Science Fit for the Twenty-First Century


Paper by Jean-Claude Burgelman et al: “Open science will make science more efficient, reliable, and responsive to societal challenges. The European Commission has sought to advance open science policy from its inception in a holistic and integrated way, covering all aspects of the research cycle from scientific discovery and review to sharing knowledge, publishing, and outreach. We present the steps taken with a forward-looking perspective on the challenges laying ahead, in particular the necessary change of the rewards and incentives system for researchers (for which various actors are co-responsible and which goes beyond the mandate of the European Commission). Finally, we discuss the role of artificial intelligence (AI) within an open science perspective….(More)”.

Innovation bureaucracies: How agile stability creates the entrepreneurial state


Paper by Rainer Kattel, Wolfgang Drechsler and Erkki Karo: “In this paper, we offer to redefine what entrepreneurial states are: these are states that are capable of unleashing innovations, and wealth resulting from those innovations, and of maintaining socio-political stability at the same time. Innovation bureaucracies are constellations of public organisations that deliver such agile stability. Such balancing acts make public bureaucracies unique in how they work, succeed and fail. The paper looks at the historical evolution of innovation bureaucracy by focusing on public organisations dealing with knowledge and technology, economic development and growth. We briefly show how agility and stability are delivered through starkly different bureaucratic organisations; hence, what matters for capacity and capabilities are not individual organisations, but organisational configurations and how they evolve….(More)”.

Accelerating Medicines Partnership (AMP): Improving Drug Research Efficiency through Biomarker Data Sharing


Data Collaborative Case Study by Michelle Winowatan, Andrew Young, and Stefaan Verhulst: “Accelerating Medicines Partnership (AMP) is a cross-sector data-sharing partnership in the United States between the National Institutes of Health (NIH), the Food and Drug Administration (FDA), multiple biopharmaceutical and life science companies, as well as non-profit organizations that seeks to improve the efficiency of developing new diagnostics and treatments for several types of disease. To achieve this goal, the partnership created a pre-competitive collaborative ecosystem where the biomedical community can pool data and resources that are relevant to the prioritized disease areas. A key component of the partnership is to make biomarkers data available to the medical research community through online portals.

Data Collaboratives Model: Based on our typology of data collaborative models, AMP is an example of the data pooling model of data collaboration, specifically a public data pool. Public data pools co-mingle data assets from multiple data holders — in this case pharmaceutical companies — and make those shared assets available on the web. Pools often limit contributions to approved partners (as public data pools are not crowdsourcing efforts), but access to the shared assets is open, enabling independent re-uses.

Data Stewardship Approach: Data stewardship is built into the partnership through the establishment of an executive committee, which governs the entire partnership, and a steering committee for each disease area, which governs each of the sub-projects within AMP. These committees consist of representatives from the institutional partners involved in AMP and perform data stewards function including enabling inter-institutional engagement as well as intra-institutional coordination, data audit and assessment of value and risk, communication of findings, and nurture the collaboration to sustainability….(Full Case Study)”.

Understanding How Cultures Change


Excerpt of book by Geoff Mulgan on Social Innovation: How Societies Find the Power to Change: “…There are very few thinkers who have changed how we see the world, and even fewer who have changed how we think about how we see the world. Mary Douglas was one of the very rare exceptions. Her field was culture, but she was as unlike the stereotypical cultural academic as one could imagine. A devout Catholic whose late husband was head of research at Conservative Central Office, she used the decades after she passed retirement age in an extraordinary flowering of enquiry that provided striking insights in fields as diverse as the study of the Old Testament and the politics of climate change.

She was a rare example of a public intellectual whose theoretical apparatus allowed her to think in original ways about almost any topic—for example, in her ideas on enclaves, the small groups which at their most extreme become terrorist cells. Where others emphasize their strengths, she emphasized their weaknesses: how prone they are to splits and sectarianism, and how hard it is for their founders to impose and enforce rules. To survive, they create around themselves what she called a ‘wall of virtue’—the sense that they alone uphold justice, while all around them are suspect. Yet the very thing that binds them together encourages individuals to compete to demonstrate their own virtue and the failings of their peers. The only thing that can override this fragility is fear of the outside world—and so sects, whether political or religious, peaceful or violent, feed off the fear and hostility of states and societies, using it to reinforce their own solidarity and their own sense of virtue. The implication is clear, and challenging, for Western governments: in the long term, defeating terrorism depends on ratcheting fear down, not up, and on dismantling the “walls of virtue” rather than attacking them head on with declarations of war….

In each of these fields Douglas’s work set in motion new schools of thought. Perhaps the most fertile of all of these is now being used to make sense of why so many well-intentioned policies fail, and why some others succeed even though they appear to work less well on paper. Her starting point is a deceptively simple framework which she repeatedly used to make sense of organizations and societies. It is a framework which should be part of the mental furniture of any educated person, as basic as the laws of supply and demand in economics, or the laws of thermodynamics.

Any culture, she argues, can be mapped on two dimensions. On one axis is what she calls the “grid”—the extent to which behaviors and rules are defined and differentiated, for example by public rules deciding who can do what according to their age, race, gender or qualifications. Examples of a high grid would be a traditional corporation, a traditional agrarian society or families with clear demarcations of roles and times (when to eat, when to go to bed). On the other axis is what she calls “group”—the extent to which people bond with each other and divide the world into insiders and outsiders. The more people do with a group of other people, the more they experience testing trials, or the more difficult the group is to get into, the higher the sense of group belonging will be.

These two dimensions come together to provide a simple two-by-two matrix: high grid and high group mean hierarchy; low grid and low group mean individualism; high group and low grid lead to egalitarianism; and low group and high grid result in fatalism. This very simple model has turned out to be a powerful tool for understanding social relations and for making sense of how people see the world. We may like to believe that we choose and shape our own beliefs, but Douglas, drawing on the work of Émile Durkheim and others, suggests that it’s much easier to understand societies by turning that assumption on its head: societies and institutions think through us much more than the other way around….(More)”.

The Economics of Violence: How Behavioral Science Can Transform our View of Crime, Insurgency, and Terrorism


Book by Gary M. Shiffman: “How do we understand illicit violence? Can we prevent it? Building on behavioral science and economics, this book begins with the idea that humans are more predictable than we like to believe, and this ability to model human behavior applies equally well to leaders of violent and coercive organizations as it does to everyday people. Humans ultimately seek survival for themselves and their communities in a world of competition. While the dynamics of ‘us vs. them’ are divisive, they also help us to survive. Access to increasingly larger markets, facilitated through digital communications and social media, creates more transnational opportunities for deception, coercion, and violence. If the economist’s perspective helps to explain violence, then it must also facilitate insights into promoting peace and security. If we can approach violence as behavioral scientists, then we can also better structure our institutions to create policies that make the world a more secure place, for us and for future generations….(More)”.

The Role of Crowdsourcing in the Healthcare Industry


Chapter by Kabir C. Sen: “The twenty first century has seen the advent of technical advances in storage, transmission and analysis of information. This has had a profound impact on the field of medicine. However, notwithstanding these advances, various obstacles remain in the world regarding the improvement of human lives through the provision of better health care. The obstacles emanate from the demand (i.e., the problem) as well as the supply (i.e., the solution) side. In some cases, the nature of the problems might not have been correctly identified. In others, a solution to a problem could be known only to a small niche of the global population. Thus, from the demand perspective, the variety of health care issues can range from the quest for a cure for a rare illness to the inability to successfully implement verifiable preventive measures for a disease that affects pockets of the global population. Alternatively, from the supply perspective, the approach to a host of health issues might vary because of fundamental differences in both medical philosophies and organizational policies.

In many instances, effective solutions to health care problems are lacking because of inadequate global knowledge about the particular disease. Alternatively, in other cases, a solution might exist but the relevant knowledge about it might only be available to selected pockets of the global medical community. Sometimes, the barriers to the transfer of knowledge might have their root causes in ignorance or prejudice about the initiator of the cure or solution. However, the advent of information technology has now provided an opportunity for individuals located at different geographical locations to collaborate on solutions to various problems. These crowdsourcing projects now have the potential to extract the “wisdom of crowds” for tackling problems which previously could not be solved by a group of experts (Surowiecki, 2014). Anecdotal evidence suggests that crowdsourcing has achieved some success in providing solutions for a rare medical disease (Arnold, 2014). This chapter discusses crowdsourcing’s potential to solve medical problems by designing a framework to evaluate its promises and suggest recommended future paths of actions….(More)”.

Open data for electricity modeling: Legal aspects


Paper by Lion Hirth: “Power system modeling is data intensive. In Europe, electricity system data is often available from sources such as statistical offices or system operators. However, it is often unclear if these data can be legally used for modeling, and in particular if such use infringes intellectual property rights. This article reviews the legal status of power system data, both as a guide for data users and for data publishers.

It is based on interpretation of the law, a review of the secondary literature, an analysis of the licenses used by major data distributors, expert interviews, and a series of workshops. A core finding is that in many cases the legality of current practices is doubtful: in fact, it seems likely that modelers infringe intellectual property rights quite regularly. This is true for industry analysis but also academic researchers. A straightforward solution is open data – the idea that data can be freely used, modified, and shared by anyone for any purpose. To be open, it is not sufficient for data to be accessible free of cost, it must also come with an open data license, the most common types of which are also reviewed in this paper….(More)”.