Paper by James Pow: “There are two important dimensions to the membership of mini-publics that are distinct from the membership of conventional representative institutions: the selection mechanism (sortition) and the profile of the body’s eligible membership (‘ordinary’ citizens). This article examines the effects of these design features on perceived legitimacy. A survey experiment in the deeply divided context of Northern Ireland finds no evidence that variation in mini-public selection features has an overall effect on perceived legitimacy, but there are important individual-level differences….(More)”.
A new intelligence paradigm: how the emerging use of technology can achieve sustainable development (if done responsibly)
Peter Addo and Stefaan G. Verhulst in The Conversation: “….This month, the GovLab and the French Development Agency (AFD) released a report looking at precisely these possibilities. “Emerging Uses of Technology for Development: A New Intelligence Paradigm” examines how development practitioners are experimenting with emerging forms of technology to advance development goals. It considers when practitioners might turn to these tools and provides some recommendations to guide their application.
Broadly, the report concludes that experiments with new technologies in development have produced value and offer opportunities for progress. These technologies – which include data intelligence, artificial intelligence, collective intelligence, and embodied intelligence tools – are associated with different prospective benefits and risks. It is essential they be informed by design principles and practical considerations.
Four intelligences
The report derives its conclusions from an analysis of dozens of projects around Africa, including Senegal, Tanzania, Uganda. Linking practice and theory, this approach allows us to construct a conceptual framework that helps development practitioners allocate resources and make key decisions based on their specific circumstances. We call this framework the “four intelligences” paradigm; it offers a way to make sense of how new and emerging technologies intersect with the development field….(More)” (Full Report).
Facial Recognition in the Public Sector: The Policy Landscape
Brief by Rashida Richardson: “Facial-recognition technology is increasingly common throughout society. We can unlock our phones with our faces, smart doorbells let us know who is outside our home, and sentiment analysis allows potential employers to screen interviewees for desirable traits. In the public sector, facial recognition is now in widespread use—in schools, public housing, public transportation, and other areas. Some of the most worrying applications of the technology are in law enforcement, with police departments and other bodies in the United States, Europe, and elsewhere around the world using public and private databases of photos to identify criminal suspects and conduct real-time surveillance of public spaces.
Despite the widespread use of facial recognition and the concerns it presents for privacy and civil liberties, this technology is only subject to a patchwork of laws and regulations. Certain jurisdictions have imposed bans on its use while others have implemented more targeted interventions. In some cases, laws and regulations written to address other technologies may apply to facial recognition as well.
This brief first surveys how facial-recognition technology has been deployed in the public sector around the world. It then reviews the spectrum of proposed and pending laws and regulations that seek to mitigate or address human and civil rights concerns associated with government use of facial recognition, including:
- moratoriums and bans
- standards, limitations, and requirements regarding databases or data sources
- data regulations
- oversight and use requirements
- government commissions, consultations, and studies…(More)”
N.Y.’s Vaccine Websites Weren’t Working. He Built a New One for $50.
Sharon Otterman at New York Times: “Huge Ma, a 31-year-old software engineer for Airbnb, was stunned when he tried to make a coronavirus vaccine appointment for his mother in early January and saw that there were dozens of websites to check, each with its own sign-up protocol. The city and state appointment systems were completely distinct.
“There has to be a better way,” he said he remembered thinking.
So, he developed one. In less than two weeks, he launched TurboVax, a free website that compiles availability from the three main city and state New York vaccine systems and sends the information in real time to Twitter. It cost Mr. Ma less than $50 to build, yet it offers an easier way to spot appointments than the city and state’s official systems do.
“It’s sort of become a challenge to myself, to prove what one person with time and a little motivation can do,” he said last week. “This wasn’t a priority for governments, which was unfortunate. But everyone has a role to play in the pandemic, and I’m just doing the very little that I can to make it a little bit easier.”
Supply shortages and problems with access to vaccination appointments have been some of the barriers to the equitable distribution of the vaccine in New York City and across the United States, officials have acknowledged….(More)”.
Citizen Scientists Are Filling Research Gaps Created by the Pandemic
Article by Theresa Crimmins, Erin Posthumus, and Kathleen Prudic: “The rapid spread of COVID-19 in 2020 disrupted field research and environmental monitoring efforts worldwide. Travel restrictions and social distancing forced scientists to cancel studies or pause their work for months. These limits measurably reduced the accuracy of weather forecasts and created data gaps on issues ranging from bird migration to civil rights in U.S. public schools.
Our work relies on this kind of information to track seasonal events in nature and understand how climate change is affecting them. We also recruit and train citizens for community science – projects that involve amateur or volunteer scientists in scientific research, also known as citizen science. This often involves collecting observations of phenomena such as plants and animals, daily rainfall totals, water quality or asteroids.
Participation in many community science programs has skyrocketed during COVID-19 lockdowns, with some programs reporting record numbers of contributors. We believe these efforts can help to offset data losses from the shutdown of formal monitoring activities….(More)”.
Data Responsibility in Humanitarian Action
InterAgency Standing Committee: “Data responsibility in humanitarian action is the safe, ethical and effective management of personal and non-personal data for operational response. It is a critical issue for the humanitarian system to address and the stakes are high. Ensuring we ‘do no harm’ while maximizing the benefits of data requires collective action that extends across all levels of the humanitarian system. Humanitarians must be careful when handling data to avoid placing already vulnerable individuals and communities at further risk. This is especially important in contexts where the urgency of humanitarian needs drives pressure for fast, sometimes untested, data solutions, and the politicization of data can have more extreme consequences for people.
The implementation of data responsibility in practice is often inconsistent within and across humanitarian response contexts. This is true despite established principles, norms and professional standards regarding respect for the rights of affected populations; the range of resources on data responsibility available in the wider international data community; as well as significant efforts by many humanitarian organizations to develop and update their policies and guidance in this area. However, given that the humanitarian data ecosystem is inherently interconnected, no individual organization can tackle all these challenges alone.
This system-wide Operational Guidance, which is a first, will ensure concrete steps for data responsibility in all phases of humanitarian action. It is the result of an inclusive and consultative process, involving more than 250 stakeholders from the humanitarian sector. Partners across the system will implement these guidelines in accordance with their respective mandates and the decisions of their governing bodies….(More)”
Fostering trustworthy data sharing: Establishing data foundations in practice
Paper by Sophie Stalla-Bourdillon, Laura Carmichael and Alexsis Wintour: “Independent data stewardship remains a core component of good data governance practice. Yet, there is a need for more robust independent data stewardship models that are able to oversee data-driven, multi-party data sharing, usage and re-usage, which can better incorporate citizen representation, especially in relation to personal data. We propose that data foundations—inspired by Channel Islands’ foundations laws—provide a workable model for good data governance not only in the Channel Islands, but also elsewhere. A key advantage of this model—in addition to leveraging existing legislation and building on established precedent—is the statutory role of the guardian that is a unique requirement in the Channel Islands, and when interpreted in a data governance model provides the independent data steward. The principal purpose for this paper, therefore, is to demonstrate why data foundations are well suited to the needs of data sharing initiatives. We further examine how data foundations could be established in practice—and provide key design principles that should be used to guide the design and development of any data foundation….(More)”.
Public Policy Analytics: Code & Context for Data Science in Government
Open Access Book by Ken Steif: “… teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial process’ and develop spatial analytics; how to develop ‘useful’ predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and ‘Planning’ are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government….(More)”.
The Legal Limits of Direct Democracy
Book edited by Daniel Moeckli, Anna Forgács, and Henri Ibi: “With the rise of direct-democratic instruments, the relationship between popular sovereignty and the rule of law is set to become one of the defining political issues of our time. This important and timely book provides an in-depth analysis of the limits imposed on referendums and citizens’ initiatives, as well as of systems of reviewing compliance with these limits, in 11 European states.
Chapters explore and lay the scientific basis for answering crucial questions such as ‘Where should the legal limits of direct democracy be drawn?’ and ‘Who should review compliance with these limits?’ Providing a comparative analysis of the different issues in the selected countries, the book draws out key similarities and differences, as well as an assessment of the law and the practice at national levels when judged against the international standards contained in the Venice Commission’s Guidelines on the Holding of Referendums.
Presenting an up-to-date analysis of the relationship between popular sovereignty and the rule of law, The Legal Limits of Direct Democracy will be a key resource for scholars and students in comparative and constitutional law and political science. It will also be beneficial to policy-makers and practitioners in parliaments, governments and election commissions, and experts working for international organisations….(More)”.
Tracking COVID-19 using online search
Paper by Vasileios Lampos et al: “Previous research has demonstrated that various properties of infectious diseases can be inferred from online search behaviour. In this work we use time series of online search query frequencies to gain insights about the prevalence of COVID-19 in multiple countries. We first develop unsupervised modelling techniques based on associated symptom categories identified by the United Kingdom’s National Health Service and Public Health England. We then attempt to minimise an expected bias in these signals caused by public interest—as opposed to infections—using the proportion of news media coverage devoted to COVID-19 as a proxy indicator. Our analysis indicates that models based on online searches precede the reported confirmed cases and deaths by 16.7 (10.2–23.2) and 22.1 (17.4–26.9) days, respectively. We also investigate transfer learning techniques for mapping supervised models from countries where the spread of the disease has progressed extensively to countries that are in earlier phases of their respective epidemic curves. Furthermore, we compare time series of online search activity against confirmed COVID-19 cases or deaths jointly across multiple countries, uncovering interesting querying patterns, including the finding that rarer symptoms are better predictors than common ones. Finally, we show that web searches improve the short-term forecasting accuracy of autoregressive models for COVID-19 deaths. Our work provides evidence that online search data can be used to develop complementary public health surveillance methods to help inform the COVID-19 response in conjunction with more established approaches….(More)”.