A science that knows no country: Pandemic preparedness, global risk, sovereign science

Curated on Posted on by Stefaan Verhulst

Paper by J. Benjamin Hurlbut: “… examines political norms and relationships associated with governance of pandemic risk. Through a pair of linked controversies over scientific access to H5N1 flu virus and genomic data, it examining the duties, obligations, and allocations of authority articulated around the imperative for globally free-flowing information and around the corollary imperative for a science that is set free to produce such information.

It argues that scientific regimes are laying claim to a kind of sovereignty, particularly in moments where scientific experts call into question the legitimacy of claims grounded in national sovereignty, by positioning the norms of scientific practice, including a commitment to unfettered access to scientific information and to the authority of science to declare what needs to be known, as essential to global governance. Scientific authority occupies a constitutional position insofar as it figures centrally in the repertoire of imaginaries that shape how a global community is imagined: what binds that community together and what shared political commitments, norms, and subjection to delegated authority are seen as necessary for it to be rightly governed….(More)”.

Invisible Algorithms, Invisible Politics

Curated on Posted on by Stefaan Verhulst

Laura Forlano at Public Books: “Over the past several decades, politicians and business leaders, technology pundits and the mainstream media, engineers and computer scientists—as well as science fiction and Hollywood films—have repeated a troubling refrain, championing the shift away from the material and toward the virtual, the networked, the digital, the online. It is as if all of life could be reduced to 1s and 0s, rendering it computable….

Today, it is in design criteria and engineering specifications—such as “invisibility” and “seamlessness,” which aim to improve the human experience with technology—that ethical decisions are negotiated….

Take this example. In late July 2017, the City of Chicago agreed to settle a $38.75 million class-action lawsuit related to its red-light-camera program. Under the settlement, the city will repay drivers who were unfairly ticketed a portion of the cost of their ticket. Over the past five years, the program, ostensibly implemented to make Chicago’s intersections safer, has been mired in corruption, bribery, mismanagement, malfunction, and moral wrongdoing. This confluence of factors has resulted in a great deal of negative press about the project.

The red-light-camera program is just one of many examples of such technologies being adopted by cities in their quest to become “smart” and, at the same time, increase revenue. Others include ticketless parking, intelligent traffic management, ride-sharing platforms, wireless networks, sensor-embedded devices, surveillance cameras, predictive policing software, driverless car testbeds, and digital-fabrication facilities.

The company that produced the red-light cameras, Redflex, claims on their website that their technology can “reliably and consistently address negative driving behaviors and effectively enforce traffic laws on roadways and intersections with a history of crashes and incidents.”Nothing could be further from the truth. Instead, the cameras were unnecessarily installed at some intersections without a history of problems; they malfunctioned; they issued illegal tickets due to short yellow-lights that were not within federal limits; and they issued tickets after enforcement hours. And, due to existing structural inequalities, these difficulties were more likely to negatively impact poorer and less advantaged city residents.

The controversies surrounding red-light cameras in Chicago make visible the ways in which design criteria and engineering specifications—concepts including safety and efficiency, seamlessness and stickiness, convenience and security—are themselves ways of defining the ethics, values, and politics of our cities and citizens. To be sure, these qualities seem clean, comforting, and cuddly at first glance. They are difficult to argue against.

But, like wolves in sheep’s clothing, they gnash their political-economic teeth, and show their insatiable desire to further the goals of neoliberal capitalism. Rather than merely slick marketing, these mundane infrastructures (hardware, software, data, and services) negotiate ethical questions around what kinds of societies we aspire to, what kind of cities we want to live in, what kinds of citizens we can become, who will benefit from these tradeoffs, and who will be left out….(More)

Managing Democracy in the Digital Age

Curated on Posted on by Stefaan Verhulst

Book edited by Julia Schwanholz, Todd Graham and Peter-Tobias Stoll: “In light of the increased utilization of information technologies, such as social media and the ‘Internet of Things,’ this book investigates how this digital transformation process creates new challenges and opportunities for political participation, political election campaigns and political regulation of the Internet. Within the context of Western democracies and China, the contributors analyze these challenges and opportunities from three perspectives: the regulatory state, the political use of social media, and through the lens of the public sphere.

The first part of the book discusses key challenges for Internet regulation, such as data protection and censorship, while the second addresses the use of social media in political communication and political elections. In turn, the third and last part highlights various opportunities offered by digital media for online civic engagement and protest in the public sphere. Drawing on different academic fields, including political science, communication science, and journalism studies, the contributors raise a number of innovative research questions and provide fascinating theoretical and empirical insights into the topic of digital transformation….(More)”.

A Really Bad Blockchain Idea: Digital Identity Cards for Rohingya Refugees

Curated on Posted on by Stefaan Verhulst

Wayan Vota at ICTworks: “The Rohingya Project claims to be a grassroots initiative that will empower Rohingya refugees with a blockchain-leveraged financial ecosystem tied to digital identity cards….

What Could Possibly Go Wrong?

Concerns about Rohingya data collection are not new, so Linda Raftree‘s Facebook post about blockchain for biometrics started a spirited discussion on this escalation of techno-utopia. Several people put forth great points about the Rohingya Project’s potential failings. For me, there were four key questions originating in the discussion that we should all be debating:

1. Who Determines Ethnicity?

Ethnicity isn’t a scientific way to categorize humans. Ethnic groups are based on human constructs such as common ancestry, language, society, culture, or nationality. Who are the Rohingya Project to be the ones determining who is Rohingya or not? And what is this rigorous assessment they have that will do what science cannot?

Might it be better not to perpetuate the very divisions that cause these issues? Or at the very least, let people self-determine their own ethnicity.

2. Why Digitally Identify Refugees?

Let’s say that we could group a people based on objective metrics. Should we? Especially if that group is persecuted where it currently lives and in many of its surrounding countries? Wouldn’t making a list of who is persecuted be a handy reference for those who seek to persecute more?

Instead, shouldn’t we focus on changing the mindset of the persecutors and stop the persecution?

3. Why Blockchain for Biometrics?

How could linking a highly persecuted people’s biometric information, such as fingerprints, iris scans, and photographs, to a public, universal, and immutable distributed ledger be a good thing?

Might it be highly irresponsible to digitize all that information? Couldn’t that data be used by nefarious actors to perpetuate new and worse exploitation of Rohingya? India has already lost Aadhaar data and the Equafax lost Americans’ data. How will the small, lightly funded Rohingya Project do better?

Could it be possible that old-fashioned paper forms are a better solution than digital identity cards? Maybe laminate them for greater durability, but paper identity cards can be hidden, even destroyed if needed, to conceal information that could be used against the owner.

4. Why Experiment on the Powerless?

Rohingya refugees already suffer from massive power imbalances, and now they’ll be asked to give up their digital privacy, and use experimental technology, as part of an NGO’s experiment, in order to get needed services.

Its not like they’ll have the agency to say no. They are homeless, often penniless refugees, who will probably have no realistic way to opt-out of digital identity cards, even if they don’t want to be experimented on while they flee persecution….(More)”

Our Hackable Political Future

Curated on Posted on by Stefaan Verhulst

Henry J. Farrell and Rick Perlstein at the New York Times: “….A program called Face2Face, developed at Stanford, films one person speaking, then manipulates that person’s image to resemble someone else’s. Throw in voice manipulation technology, and you can literally make anyone say anything — or at least seem to….

Another harrowing potential is the ability to trick the algorithms behind self-driving cars to not recognize traffic signs. Computer scientists have shown that nearly invisible changes to a stop sign can fool algorithms into thinking it says yield instead. Imagine if one of these cars contained a dissident challenging a dictator.

In 2007, Barack Obama’s political opponents insisted that footage existed of Michelle Obama ranting against “whitey.” In the future, they may not have to worry about whether it actually existed. If someone called their bluff, they may simply be able to invent it, using data from stock photos and pre-existing footage.

The next step would be one we are already familiar with: the exploitation of the algorithms used by social media sites like Twitter and Facebook to spread stories virally to those most inclined to show interest in them, even if those stories are fake.

It might be impossible to stop the advance of this kind of technology. But the relevant algorithms here aren’t only the ones that run on computer hardware. They are also the ones that undergird our too easily hacked media system, where garbage acquires the perfumed scent of legitimacy with all too much ease. Editors, journalists and news producers can play a role here — for good or for bad.

Outlets like Fox News spread stories about the murder of Democratic staff members and F.B.I. conspiracies to frame the president. Traditional news organizations, fearing that they might be left behind in the new attention economy, struggle to maximize “engagement with content.”

This gives them a built-in incentive to spread informational viruses that enfeeble the very democratic institutions that allow a free media to thrive. Cable news shows consider it their professional duty to provide “balance” by giving partisan talking heads free rein to spout nonsense — or amplify the nonsense of our current president.

It already feels as though we are living in an alternative science-fiction universe where no one agrees on what it true. Just think how much worse it will be when fake news becomes fake video. Democracy assumes that its citizens share the same reality. We’re about to find out whether democracy can be preserved when this assumption no longer holds….(More)”.

How to Beat Science and Influence People: Policy Makers and Propaganda in Epistemic Networks

Curated on Posted on by Stefaan Verhulst

Paper by James Owen Weatherall, Cailin O’Connor, and Justin Bruner: “In their recent book Merchants of Doubt [New York:Bloomsbury 2010], Naomi Oreskes and Erik Conway describe the “tobacco strategy”, which was used by the tobacco industry to influence policy makers regarding the health risks of tobacco products. The strategy involved two parts, consisting of (1) promoting and sharing independent research supporting the industry’s preferred position and (2) funding additional research, but selectively publishing the results.

We introduce a model of the Tobacco Strategy, and use it to argue that both prongs of the strategy can be extremely effective–even when policy makers rationally update on all evidence available to them. As we elaborate, this model helps illustrate the conditions under which the Tobacco Strategy is particularly successful. In addition, we show how journalists engaged in “fair” reporting can inadvertently mimic the effects of industry on public belief….(More)”.

Earth Observation Open Science and Innovation

Curated on Posted on by Stefaan Verhulst

Open Access book edited by Pierre-Philippe Mathieu and Christoph Aubrecht: “Over  the  past  decades,  rapid developments in digital and sensing technologies, such  as the Cloud, Web and Internet of Things, have dramatically changed the way we live and work. The digital transformation is revolutionizing our ability to monitor our planet and transforming the  way we access, process and exploit Earth Observation data from satellites.

This book reviews these megatrends and their implications for the Earth Observation community as well as the wider data economy. It provides insight into new paradigms of Open Science and Innovation applied to space data, which are characterized by openness, access to large volume of complex data, wide availability of new community tools, new techniques for big data analytics such as Artificial Intelligence, unprecedented level of computing power, and new types of collaboration among researchers, innovators, entrepreneurs and citizen scientists. In addition, this book aims to provide readers with some reflections on the future of Earth Observation, highlighting through a series of use cases not just the new opportunities created by the New Space revolution, but also the new challenges that must be addressed in order to make the most of the large volume of complex and diverse data delivered by the new generation of satellites….(More)”.

A Roadmap to a Nationwide Data Infrastructure for Evidence-Based Policymaking

Curated on Posted on by Stefaan Verhulst

Introduction by Julia Lane and Andrew Reamer of a Special Issue of the Annals of the American Academy of Political and Social Science: “Throughout the United States, there is broad interest in expanding the nation’s capacity to design and implement public policy based on solid evidence. That interest has been stimulated by the new types of data that are available that can transform the way in which policy is designed and implemented. Yet progress in making use of sensitive data has been hindered by the legal, technical, and operational obstacles to access for research and evaluation. Progress has also been hindered by an almost exclusive focus on the interest and needs of the data users, rather than the interest and needs of the data providers. In addition, data stewardship is largely artisanal in nature.

There are very real consequences that result from lack of action. State and local governments are often hampered in their capacity to effectively mount and learn from innovative efforts. Although jurisdictions often have treasure troves of data from existing programs, the data are stove-piped, underused, and poorly maintained. The experience reported by one large city public health commissioner is too common: “We commissioners meet periodically to discuss specific childhood deaths in the city. In most cases, we each have a thick file on the child or family. But the only time we compare notes is after the child is dead.”1 In reality, most localities lack the technical, analytical, staffing, and legal capacity to make effective use of existing and emerging resources.

It is our sense that fundamental changes are necessary and a new approach must be taken to building data infrastructures. In particular,

  1. Privacy and confidentiality issues must be addressed at the beginning—not added as an afterthought.
  2. Data providers must be involved as key stakeholders throughout the design process.
  3. Workforce capacity must be developed at all levels.
  4. The scholarly community must be engaged to identify the value to research and policy….

To develop a roadmap for the creation of such an infrastructure, the Bill and Melinda Gates Foundation, together with the Laura and John Arnold Foundation, hosted a day-long workshop of more than sixty experts to discuss the findings of twelve commissioned papers and their implications for action. This volume of The ANNALS showcases those twelve articles. The workshop papers were grouped into three thematic areas: privacy and confidentiality, the views of data producers, and comprehensive strategies that have been used to build data infrastructures in other contexts. The authors and the attendees included computer scientists, social scientists, practitioners, and data producers.

This introductory article places the research in both an historical and a current context. It also provides a framework for understanding the contribution of the twelve articles….(More)”.

Can scientists learn to make ‘nature forecasts’ just as we forecast the weather?

Curated on Posted on by Stefaan Verhulst

 at The Conversation: “We all take weather forecasts for granted, so why isn’t there a ‘nature forecast’ to answer these questions? Enter the new scientific field of ecological forecasting. Ecologists have long sought to understand the natural world, but only recently have they begun to think systematically about forecasting.

Much of the current research in ecological forecasting is focused on long-term projections. It considers questions that play out over decades to centuries, such as how species may shift their ranges in response to climate change, or whether forests will continue to take up carbon dioxide from the atmosphere.

However, in a new article that I co-authored with 18 other scientists from universities, private research institutes and the U.S. Geological Survey, we argue that focusing on near-term forecasts over spans of days, seasons and years will help us better understand, manage and conserve ecosystems. Developing this ability would be a win-win for both science and society….

Big data is driving many of the advances in ecological forecasting. Today ecologists have orders of magnitude more data compared to just a decade ago, thanks to sustained public funding for basic science and environmental monitoring. This investment has given us better sensors, satellites and organizations such as the National Ecological Observatory Network, which collects high-quality data from 81 field sites across the United States and Puerto Rico. At the same time, cultural shifts across funding agencies, research networks and journals have made that data more open and available.

Digital technologies make it possible to access this information more quickly than in the past. Field notebooks have given way to tablets and cell networks that can stream new data into supercomputers in real time. Computing advances allow us to build better models and use more sophisticated statistical methods to produce forecasts….(More)”.

The Modern Research Data Portal: a design pattern for networked, data-intensive science

Curated on Posted on by Stefaan Verhulst

 et al in PeerJ Computer Science: “We describe best practices for providing convenient, high-speed, secure access to large data via research data portals. We capture these best practices in a new design pattern, the Modern Research Data Portal, that disaggregates the traditional monolithic web-based data portal to achieve orders-of-magnitude increases in data transfer performance, support new deployment architectures that decouple control logic from data storage, and reduce development and operations costs.

We introduce the design pattern; explain how it leverages high-performance data enclaves and cloud-based data management services; review representative examples at research laboratories and universities, including both experimental facilities and supercomputer sites; describe how to leverage Python APIs for authentication, authorization, data transfer, and data sharing; and use coding examples to demonstrate how these APIs can be used to implement a range of research data portal capabilities. Sample code at a companion web site, https://docs.globus.org/mrdp, provides application skeletons that readers can adapt to realize their own research data portals….(More)”.