Defining a ‘new normal’ for data privacy in the wake of COVID-19


Jack Dunn at IAPP: “…It is revealing that our relationship with privacy is amorphous and requires additional context in light of transformative technologies, new economic realities and public health emergencies. How can we reasonably evaluate the costs and benefits of Google or Facebook sharing location data with the federal government when it has been perfectly legal for Walgreen’s to share access to customer data with pharmaceutical advertisers? How does aggregating and anonymizing data safeguard privacy when a user’s personal data can be revealed through other data points? The pandemic is only revealing that we’ve yet to reach a consensus... (More >)

Tech Firms Are Spying on You. In a Pandemic, Governments Say That’s OK.


Sam Schechner, Kirsten Grind and Patience Haggin at the Wall Street Journal: “While an undergraduate at the University of Virginia, Joshua Anton created an app to prevent users from drunk dialing, which he called Drunk Mode. He later began harvesting huge amounts of user data from smartphones to resell to advertisers. Now Mr. Anton’s company, called X-Mode Social Inc., is one of a number of little-known location-tracking companies that are being deployed in the effort to reopen the country. State and local authorities wielding the power to decide when and how to reopen are leaning on these vendors for... (More >)

Evaluating Data Types


A Guide for Decision Makers using Data to Understand the Extent and Spread of COVID-19 by the National Academies: “This rapid expert consultation provides insight into the strengths and weaknesses of the data on the COVID-19 pandemic by applying five criteria to seven types of data available to support decision making. It was produced through the Societal Experts Action Network (SEAN), an activity of the National Academies of Sciences, Engineering, and Medicine that is sponsored by the National Science Foundation. SEAN links researchers in the social, behavioral, and economic sciences with decision makers to respond to policy questions arising... (More >)

Collective intelligence, not market competition, will deliver the best Covid-19 vaccine


Els Torreele at StatNews: “…Imagine mobilizing the world’s brightest and most creative minds — from biotech and pharmaceutical industries, universities, government agencies, and more — to work together using all available knowledge, innovation, and infrastructure to develop an effective vaccine against Covid-19. A true “people’s vaccine” that would be made freely available to all people in all countries. That’s what an open letter by more than 140 world leaders and experts calls for. Unfortunately, that is not how the race for a Covid-19 vaccine is being run. The rules of that game are oblivious to the goal of maximizing... (More >)

The Long Shadow Of The Future


Steven Weber and Nils Gilman at Noema: “We’re living through a real-time natural experiment on a global scale. The differential performance of countries, cities and regions in the face of the COVID-19 pandemic is a live test of the effectiveness, capacity and legitimacy of governments, leaders and social contracts. The progression of the initial outbreak in different countries followed three main patterns. Countries like Singapore and Taiwan represented Pattern A, where (despite many connections to the original source of the outbreak in China) vigilant government action effectively cut off community transmission, keeping total cases and deaths low. China and... (More >)

Individualism During Crises: Big Data Analytics of Collective Actions amid COVID-19


Paper by Bo Bian et al: “Collective actions, such as charitable crowdfunding and social distancing, are useful for alleviating the negative impact of the COVID-19 pandemic. However, engagements in these actions across the U.S. are “consistently inconsistent” and are frequently linked to individualism in the press. We present the first evidence on how individualism shapes online and offline collective actions during a crisis through big data analytics. Following economic historical studies, we leverage GIS techniques to construct a U.S. county-level individualism measure that traces the time each county spent on the American frontier between 1790 and 1890. We then... (More >)

Democracies contain epidemics most effectively


The Economist: “Many people would look at the covid-19 pandemic and conclude that democracies are bad at tackling infectious diseases. America and the eu had months to prepare after China sounded the alarm in January. Both have subsequently suffered more than 300 confirmed deaths per 1m people. China’s Communist Party reports an official death rate that is 99% lower, and has trumpeted its apparent success in containing the outbreak domestically. Yet most data suggest that political freedom can be a tonic against disease. The Economist has analysed epidemics from 1960 to 2019. Though these outbreaks varied in contagiousness and... (More >)

Sharing Health Data and Biospecimens with Industry — A Principle-Driven, Practical Approach


Kayte Spector-Bagdady et al at the New England Journal of Medicine: “The advent of standardized electronic health records, sustainable biobanks, consumer-wellness applications, and advanced diagnostics has resulted in new health information repositories. As highlighted by the Covid-19 pandemic, these repositories create an opportunity for advancing health research by means of secondary use of data and biospecimens. Current regulations in this space give substantial discretion to individual organizations when it comes to sharing deidentified data and specimens. But some recent examples of health care institutions sharing individual-level data and specimens with companies have generated controversy. Academic medical centers are therefore... (More >)

How data analysis helped Mozambique stem a cholera outbreak


Andrew Jack at the Financial Times: “When Mozambique was hit by two cyclones in rapid succession last year — causing death and destruction from a natural disaster on a scale not seen in Africa for a generation — government officials added an unusual recruit to their relief efforts. Apart from the usual humanitarian and health agencies, the National Health Institute also turned to Zenysis, a Silicon Valley start-up. As the UN and non-governmental organisations helped to rebuild lives and tackle outbreaks of disease including cholera, Zenysis began gathering and analysing large volumes of disparate data. “When we arrived, there... (More >)

Dynamic Networks Improve Remote Decision-Making


Article by Abdullah Almaatouq and Alex “Sandy” Pentland: “The idea of collective intelligence is not new. Research has long shown that in a wide range of settings, groups of people working together outperform individuals toiling alone. But how do drastic shifts in circumstances, such as people working mostly at a distance during the COVID-19 pandemic, affect the quality of collective decision-making? After all, public health decisions can be a matter of life and death, and business decisions in crisis periods can have lasting effects on the economy. During a crisis, it’s crucial to manage the flow of ideas deliberatively... (More >)