Stefaan Verhulst
Paper by Dimiter Toshkov, Kutsal Yesilkagit and Brendan Carroll: “European states responded to the rapid spread of the COVID-19 pandemic in 2020 with a variety of public policy measures. Governments across the continent acted more or less swiftly to close down schools, restrict arrival into their countries and travel within their territories, ban public meetings, impose local and national lockdowns, declare states of emergency and pass other emergency measures. Importantly, both the mix of policy tools as well as the speed with which they were enacted differed significantly even within the member states of the European Union.
In this article we ask what can account for this variation in policy responses, and we identify a number of factors related to institutions, general governance and specific health-sector related capacities, societal trust, government type, and party preferences as possible determinants. Using multivariate regression and survival analysis, we model the speed with which school closures, national lockdowns and states of emergency were announced. The models suggest a number of significant and often counterintuitive relationships: we find that more centralized countries with lower government effectiveness, freedom and societal trust, but with separate ministries of health and health ministers with medical background acted faster and more decisively. These results are important in light of the large positive effects early policy responses likely had on managing the impact of the pandemic….(More)”.
Blog by Wolfgang Drechsler: “Max Weber passed away a century ago today at the early age of 56, a late victim of the last pandemic — the Spanish Flu.
During the last 100 years, Weber’s position as one of the world’s great economists, sociologists, social science theorists, and public administration scholars has been secure, if with ups and downs.
One can think with or against Weber in the areas he covered, but by and large, not really without him. Weber is often associated with Weberian bureaucracy, i.e. hierarchical, career-organized, competence-based, rules- and files-based public administration of the now traditional type (when he conceived of it, this was public sector innovation).
However, Weber was a Weberian only to the extent that Luther was a Lutheran or Marx was a Marxist: somewhat, but certainly not totally so. In fact, Weber did not particularly like what we understand today as Weberian public administration, often used interchangeably with the term “bureaucracy.” He just thought it was the optimal administrative form, in the sense of rationalization, for the time and society he was analyzing (Germany at the turn of the 19th to the 20th century — both for the public and for the private sector, incidentally).
Nobody would have been more surprised than him that his framework is still the most used — and best — 100 years later. Indeed, it is often applied to systems for which it was never intended.
In fact, Weberian public administration in the wider sense has been, and is, much maligned; bureaucracy is an easy target, and whining about it is a steady feature of complex human societies which always need and automatically generate it. And Weberian public administration has its systemic faults — slowness, process-orientation, a slippery slope to authoritarian, mindless hierarchization and shirking. However, this bureaucracy is in its optimal form ethics-based, high-capacity, and motivation-driven. It is meant to be both responsible — to a state that is above and beyond particular interests — as well as responsive — to groups and citizens, but not at the cost of the commonweal.
However we decide to manage the transition to a CO2-neutral world — via Green Growth or Post-Growth — that process will have to be implemented by competent, motivated, and yes, Weberian civil servants.
But neoliberal ideology never believed that this kind of civil service was real, or pretended not to. So Weberian public administration became the bête noire of the New Public Management (NPM)….(More)”.
Press Release: “The Governance Lab (The GovLab), an action research center at New York University Tandon School of Engineering, with the support of the Henry Luce Foundation, announced the creation of The Data Assembly. Beginning in New York City, the effort will explore how communities perceive the risks and benefits of data re-use for COVID-19. Understanding that policymakers often lack information about the concerns of different stakeholders, The Data Assembly’s deliberations will inform the creation of a responsible data re-use framework to guide the use of data and technology at the city and state level to fight COVID-19’s many consequences.
The Data Assembly will hold deliberations with civil rights organizations, key data holders and policymakers, and the public at large. Consultations with these stakeholders will take place through a series of remote engagements, including surveys and an online town hall meeting. This work will allow the project to consider the perspectives of people from different strata of society and how they might exercise some control over the flow of data.
After the completion of these data re-use deliberations, The Data Assembly will create a path forward for using data responsibly to solve public challenges. The first phases of the project will commence in New York City, seeking to engage with city residents and their leaders on data governance issues.
“Data is increasingly the primary format for sharing information to understand crises and plan recovery efforts; empowering everyone to better understand how data is collected and how it should be used is paramount,” said Adrienne Schmoeker, Director of Civic Engagement & Strategy and Deputy Chief Analytics Officer at the NYC Mayor’s Office of Data Analytics. “We look forward to learning from the insights gathered by the GovLab through The Data Assembly work they are conducting in New York City.”…(More)”.
Article by François Bonnici: “…Social innovators and social entrepreneurs have been working to solve market failures and demonstrate more sustainable models to build inclusive economies for years. The Schwab Foundation 2020 Impact Report “Two Decades of Impact” demonstrated how the network of 400 leading social innovators and entrepreneurs it supports have improved the lives of more than 622 million people, protecting livelihoods, driving movements for social inclusion and environmental sustainability, and providing improved access to health, sanitation, education and energy.
From providing reliable information, services and care for the most vulnerable, to developing community tracing initiatives or mental health support through mobile phones, the work of social entrepreneurs is even more critical during the COVID-19 pandemic, as they reach those who the market and governments are unable to account for.
But right now, these front-line organizations face severe constraints or even bankruptcy. Decades of work in the impact sector are at stake.
Over the past four decades, a sophisticated impact ecosystem has emerged to support the work of social innovators and impact enterprises. This includes funding provided by capital sources ranging from philanthropy and impact investing, intermediaries providing certification and standards, peer networks of learning and policy and regulation of this new “social economy” seeking to embed inclusive and sustainable organizational approaches imbued with principles of equality, justice and respect for our planet.
From this ecosystem, 40 leading global organizations collectively supporting more than 15,000 social entrepreneurs have united to launch the COVID Response Alliance for Social Entrepreneurs. The aim is to share knowledge, experience and resources to coordinate and amplify social entrepreneurs’ response to COVID-19….(More)”.
Kashmir Hill at the New York Times: “In what may be the first known case of its kind, a faulty facial recognition match led to a Michigan man’s arrest for a crime he did not commit….
The Shinola shoplifting occurred in October 2018. Katherine Johnston, an investigator at Mackinac Partners, a loss prevention firm, reviewed the store’s surveillance video and sent a copy to the Detroit police, according to their report.
Five months later, in March 2019, Jennifer Coulson, a digital image examiner for the Michigan State Police, uploaded a “probe image” — a still from the video, showing the man in the Cardinals cap — to the state’s facial recognition database. The system would have mapped the man’s face and searched for similar ones in a collection of 49 million photos.
The state’s technology is supplied for $5.5 million by a company called DataWorks Plus. Founded in South Carolina in 2000, the company first offered mug shot management software, said Todd Pastorini, a general manager. In 2005, the firm began to expand the product, adding face recognition tools developed by outside vendors.
When one of these subcontractors develops an algorithm for recognizing faces, DataWorks attempts to judge its effectiveness by running searches using low-quality images of individuals it knows are present in a system. “We’ve tested a lot of garbage out there,” Mr. Pastorini said. These checks, he added, are not “scientific” — DataWorks does not formally measure the systems’ accuracy or bias.
“We’ve become a pseudo-expert in the technology,” Mr. Pastorini said.
In Michigan, the DataWorks software used by the state police incorporates components developed by the Japanese tech giant NEC and by Rank One Computing, based in Colorado, according to Mr. Pastorini and a state police spokeswoman. In 2019, algorithms from both companies were included in a federal study of over 100 facial recognition systems that found they were biased, falsely identifying African-American and Asian faces 10 times to 100 times more than Caucasian faces….(More)“.
About: “The Data Dividend Project is a movement dedicated to taking back control of our personal data: our data is our property, and if we allow companies to use it, we should get paid for it. The DDP is the brainchild of former presidential candidate Andrew Yang. Its primary objective is to establish and enforce data property rights under laws such as the California Consumer Privacy Act (CCPA), which went into effect on January 1, 2020.
Every day, people are generating data simply by going about the business of living in an ever connected and digital world. Unbeknownst to most people, technology companies are tracking their every move online, extracting this data, and then buying and selling it for big money. The sale and resale of consumer data is called data brokering, which is itself a $200 billion industry.
For example, technology companies can extract location data from your mobile phone and sell it to advertisers who can then turn around and post local ads to you in real time. Until recently, the data collector – in this case, the technology company – was deemed to own the data. As the owner, the technology company could sell that data and profit handsomely. Meanwhile, you generated the data but received no share of those profits. DDP plans to change that.
Until this year, you, as the American consumer, had little recourse against technology companies who were profiting off your data without your consent or knowledge. Now, under the CCPA, Californians are endowed with a collection of unalienable data rights: the right to know what information is being collected on you, the right to delete that information, and the right to opt-out from technology companies collecting your data. These rights, however, are ignored and abused by technology companies. And unfortunately, individual consumers don’t have the leverage to be able to go up against these companies. That’s where DDP comes in….(More)“
Press Release: “The Network Advertising Initiative (NAI) released privacy Best Practices for its members to follow if they use data collected for Tailored Advertising or Ad Delivery and Reporting for non-marketing purposes, such as sharing with research institutions, public health agencies, or law enforcement entities.
“Ad tech companies have data that can be a powerful resource for the public good if they follow this set of best practices for consumer privacy,” said Leigh Freund, NAI President and CEO. “During the COVID-19 pandemic, we’ve seen the opportunity for substantial public health benefits from sharing aggregate and de-identified location data.”
The NAI Code of Conduct – the industry’s premier self-regulatory framework for privacy, transparency, and consumer choice – covers data collected and used for Tailored Advertising or Ad Delivery and Reporting. The NAI Code has long addressed certain non-marketing uses of data collected for Tailored Advertising and Ad Delivery and Reporting by prohibiting any
eligibility uses of such data, including uses for credit, insurance, healthcare, and employment decisions.
The NAI has always firmly believed that data collected for advertising purposes should not have a negative effect on consumers in their daily lives. However, over the past year, novel data uses have been introduced, especially during the recent health crisis. In the case of opted-in data such as Precise Location Information, a company may determine a user would benefit from more detailed disclosure in a just-in-time notice about non-marketing uses of the data being collected….(More)”.
Book edited by Alain Samson. Introduction by Colin Camerer: “The goal of science is to accumulate knowledge, full stop. In my opinion, there is a lot of leakage in how we currently do this. The reproducibility “upgrade” (a term I prefer to “crisis”) going on in many areas of science is an example of trying to minimize leakage. Solid accumulation depends on not getting led too far or frequently astray by false positives which do not reproduce. A good infrastructure for rapidly evaluating and cumulating results is of special use for “hurry-up” social science. For example, as I write this there are probably hundreds of social science studies being done about COVID-19. It is essentially impossible for all those scientists to know what the other scientists are doing. There will be duplication and poorly designed
studies. (It is often said in design that everyone wants cheap, fast, and good. But you can only have two.)
When studies are written and circulated in preprints, a lot of null effects won’t be written up. Which studies will get the most attention? It will be a scrum of social media, presenting at seminars, slow and fast reviewing paces. The one thing that would undoubtedly be most useful—a giant dashboard summarizing weekly progress on each of those hundreds of studies—does not exist. This is a failure of good informatics.
Behavioral economics is accumulating knowledge about how different kinds of nudges influence behavior at a rapid pace. The challenge is that carefully assessing what an entire body of knowledge is telling us is actually quite difficult and is under-rewarded (by academic incentives). A lot of academic publishing, and similar career concerns within government or NGOs, depend on creativity and doing something new. This creates an incentive to exaggerate the novelty of one’s contribution compared to what is known from past studies….(More)”.
NBER Paper by Wenzhi Ding et al: Since social distancing is the primary strategy for slowing the spread of many diseases, understanding why U.S. counties respond differently to COVID-19 is critical for designing effective public policies. Using daily data from about 45 million mobile phones to measure social distancing we examine how counties responded to both local COVID-19 cases and statewide shelter-in-place orders. We find that social distancing increases more in response to cases and official orders in counties where individuals historically (1) engaged less in community activities and (2) demonstrated greater willingness to incur individual costs to contribute to social objectives. Our work highlights the importance of these two features of social capital—community engagement and individual commitment to societal institutions—in formulating public health policies….(More)”
Essay by Paul Waller: “This essay aims to analyse and debunk several technology-related concepts commonly discussed in papers, reports and speeches by academics, consultancies, politicians and governmental bodies. Each reflects a presumption about how technology, the internet in particular, and technology-enabled social and political processes might affect the practice of governing. The discussion characterizes the concepts as “socio-technical imaginaries”, a term for ideas that link the socio-political environment with technology. Socio-technical imaginaries start as a description of potentially attainable futures, turn into a prescription of futures that ought to be attained, then become received wisdom about the present day. They are speculation that takes root through reuse and endorsement by authoritative figures, becoming an asserted present reality on the basis of little or no evidence. Once imaginaries become widely accepted and used, they may shape trajectories of research and innovation, steering technological progress as well as public and private expenditure. The imaginaries addressed are: Public Sector Innovation, Digital Transformation of Government, Co-creation & Co-production of Public Services, Crowd-sourcing, Wisdom of Crowds, Collaborative Governance, Customer/Citizen Centricity, Once-only Principle, Personalisation, Big Data, Nudge (Behavioral Insights), Platform Government/GaaP, and Online Participation.
Four questions are posed to critique each imaginary: What is the received wisdom? What does that really mean? What is the problem/what has gone wrong? What to do better/what should it be? As a whole package, these imaginaries represent a nightmare for liberal, representative democracy. Some may enable the “panoptic” state, others may undermine existing institutions to open a void for it to step into. Many have the likelihood of creating or reinforcing inequality of opportunity, outcome or influence. But their grip is hard to loosen. The notions that they are inevitable or that issues will be resolved in due course by technology itself need to be challenged by surfacing the human, social and political dimensions and actively addressing them….(More)”.