The global pandemic has spawned new forms of activism – and they’re flourishing


Erica Chenoweth, Austin Choi-Fitzpatrick, Jeremy Pressman, Felipe G Santos and Jay Ulfelder at The Guardian: “Before the Covid-19 pandemic, the world was experiencing unprecedented levels of mass mobilization. The decade from 2010 to 2019 saw more mass movements demanding radical change around the world than in any period since World War II. Since the pandemic struck, however, street mobilization – mass demonstrations, rallies, protests, and sit-ins – has largely ground to an abrupt halt in places as diverse as India, Lebanon, Chile, Hong Kong, Iraq, Algeria, and the United States.

The near cessation of street protests does not mean that people power has dissipated. We have been collecting data on the various methods that people have used to express solidarity or adapted to press for change in the midst of this crisis. In just several weeks’ time, we’ve identified nearly 100 distinct methods of nonviolent action that include physical, virtual and hybrid actions – and we’re still counting. Far from condemning social movements to obsolescence, the pandemic – and governments’ responses to it – are spawning new tools, new strategies, and new motivation to push for change.

In terms of new tools, all across the world, people have turned to methods like car caravanscacerolazos (collectively banging pots and pans inside the home), and walkouts from workplaces with health and safety challenges to voice personal concerns, make political claims, and express social solidarity. Activists have developed alternative institutions such as coordinated mask-sewing, community mutual aid pods, and crowdsourced emergency funds. Communities have placed teddy bears in their front windows for children to find during scavenger hunts, authors have posted live-streamed readings, and musicians have performed from their balconies and rooftops. Technologists are experimenting with drones adapted to deliver supplies, disinfect common areas, check individual temperatures, and monitor high-risk areas. And, of course, many movements are moving their activities online, with digital ralliesteachins, and information-sharing.

Such activities have had important impacts. Perhaps the most immediate and life-saving efforts have been those where movements have begun to coordinate and distribute critical resources to people in need. Local mutual aid pods, like those in Massachusetts, have emerged to highlight urgent needs and provide for crowdsourced and volunteer rapid response. Pop-up food banks, reclaiming vacant housing, crowdsourced hardship funds, free online medical-consultation clinics, mass donations of surgical masks, gloves, gowns, goggles and sanitizer, and making masks at home are all methods that people have developed in the past several weeks. Most people have made these items by hand. Others have even used 3D printers to make urgently-needed medical supplies. These actions of movements and communities have already saved countless lives….(More)”.

Faced with a pandemic, good public health requires stronger democracy


Article by Matt Leighninger: “Dealing with Covid-19 requires a massive, coordinated, democratic response. Governments, non-profit organizations, businesses, grassroots groups, and individual citizens all have significant parts to play.

In that sense, our ability to withstand the coronavirus is based in large part on the strength of our democracy. I don’t mean voting, political parties, and the other electoral features we associate with democracy: I mean the extent to which our political system helps people to act collectively, support each other, share information, and collaborate with experts and public officials. Strong democracies are good at these things.

Unfortunately, our democracy isn’t very strong right now. Trust between citizens and government officials is at an all-time low, most people don’t feel like they have a meaningful say in public decisions, and in many cases, we can’t even agree on how to separate fact from fiction. Volunteerism is strong — especially now, as people react to the crisis — but volunteers generally don’t feel that their service is valued or supported by our political system…

Strengthening democracy, at all the levels of government, can help us achieve the kind of trust we need to deal with Covid-19 — so that people trust in the information they get from doctors and medical authorities like the Centers for Disease Control, so that doctors and public health officials trust that citizens will wash their hands and avoid contact with each other, so that people in different parts of the country will trust that we’re all in this together.

The new Community Voices for Health initiative, supported by the Robert Wood Johnson Foundation and assisted by Public Agenda and Altarum, will provide new examples of what stronger democracy can look like. Over the next two years, teams in six states will engage thousands of people in decision-making, problem-solving, and community-building. From the work of community health workers in Georgia… to health plans developed by county and tribal councils in New Mexico… to online survey panels on policy questions in Pennsylvania and Colorado… to youth leadership in Nevada… to public participation laws in Indiana, this initiative will explore new ways of engaging residents for better health.

The next wave of technological innovations also provides many opportunities for strengthening democracy. For example, there are interesting new tools for informing voters (like VoteCompass), bridging different viewpoints (like the vTaiwan process), and gathering input from large numbers of people (like BeHeard Philly)….

In the face of a possible flu pandemic 15 years ago, the Centers for Disease Control took a closer look at how engagement could be influential in counteracting these threats. Summing up that experience, CDC epidemiologist Roger Bernier concluded that “Democracy is good for your health.” We should take that statement as more than just a platitude — we should explore the concrete ways of making our democracy stronger….(More)”

The imperative of interpretable machines


Julia Stoyanovich, Jay J. Van Bavel & Tessa V. West at Nature: “As artificial intelligence becomes prevalent in society, a framework is needed to connect interpretability and trust in algorithm-assisted decisions, for a range of stakeholders.

We are in the midst of a global trend to regulate the use of algorithms, artificial intelligence (AI) and automated decision systems (ADS). As reported by the One Hundred Year Study on Artificial Intelligence: “AI technologies already pervade our lives. As they become a central force in society, the field is shifting from simply building systems that are intelligent to building intelligent systems that are human-aware and trustworthy.” Major cities, states and national governments are establishing task forces, passing laws and issuing guidelines about responsible development and use of technology, often starting with its use in government itself, where there is, at least in theory, less friction between organizational goals and societal values.

In the United States, New York City has made a public commitment to opening the black box of the government’s use of technology: in 2018, an ADS task force was convened, the first of such in the nation, and charged with providing recommendations to New York City’s government agencies for how to become transparent and accountable in their use of ADS. In a 2019 report, the task force recommended using ADS where they are beneficial, reduce potential harm and promote fairness, equity, accountability and transparency2. Can these principles become policy in the face of the apparent lack of trust in the government’s ability to manage AI in the interest of the public? We argue that overcoming this mistrust hinges on our ability to engage in substantive multi-stakeholder conversations around ADS, bringing with it the imperative of interpretability — allowing humans to understand and, if necessary, contest the computational process and its outcomes.

Remarkably little is known about how humans perceive and evaluate algorithms and their outputs, what makes a human trust or mistrust an algorithm3, and how we can empower humans to exercise agency — to adopt or challenge an algorithmic decision. Consider, for example, scoring and ranking — data-driven algorithms that prioritize entities such as individuals, schools, or products and services. These algorithms may be used to determine credit worthiness, and desirability for college admissions or employment. Scoring and ranking are as ubiquitous and powerful as they are opaque. Despite their importance, members of the public often know little about why one person is ranked higher than another by a résumé screening or a credit scoring tool, how the ranking process is designed and whether its results can be trusted.

As an interdisciplinary team of scientists in computer science and social psychology, we propose a framework that forms connections between interpretability and trust, and develops actionable explanations for a diversity of stakeholders, recognizing their unique perspectives and needs. We focus on three questions (Box 1) about making machines interpretable: (1) what are we explaining, (2) to whom are we explaining and for what purpose, and (3) how do we know that an explanation is effective? By asking — and charting the path towards answering — these questions, we can promote greater trust in algorithms, and improve fairness and efficiency of algorithm-assisted decision making…(More)”.

Mobile applications to support contact tracing in the EU’s fight against COVID-19


Common EU Toolbox for Member States by eHealth Network: “Mobile apps have potential to bolster contact tracing strategies to contain and reverse the spread of COVID-19. EU Member States are converging towards effective app solutions that minimise the processing of personal data, and recognise that interoperability between these apps can support public health authorities and support the reopening of the EU’s internal borders.

This first iteration of a common EU toolbox, developed urgently and collaboratively by the e-Health Network with the support of the European Commission, provides a practical guide for Member States. The common approach aims to exploit the latest privacy-enhancing technological solutions that enable at-risk individuals to be contacted and, if necessarily, to be tested as quickly as possible, regardless of where she is and the app she is using. It explains the essential requirements for national apps, namely that they be:

  • voluntary;
  • approved by the national health authority;
  • privacy-preserving – personal data is securely encrypted; and
  • dismantled as soon as no longer needed.

The added value of these apps is that they can record contacts that a person may not notice or remember. These requirements on how to record contacts and notify individuals are anchored in accepted epidemiological guidance, and reflect best practice on cybersecurity, and accessibility. They cover how to prevent the appearance of potentially harmful unapproved apps, success criteria and collectively monitoring the effectiveness of the apps, and the outline of a communications strategy to engage with stakeholders and the people affected by these initiatives.

Work will continue urgently to develop further and implement the toolbox, as set out in the Commission Recommendation of 8 April, including addressing other types of apps and the use of mobility data for modelling to understand the spread of the disease and exit from the crisis….(More)”.

The Atlas of Inequality and Cuebiq’s Data for Good Initiative


Data Collaborative Case Study by Michelle Winowatan, Andrew Young, and Stefaan Verhulst: “The Atlas of Inequality is a research initiative led by scientists at the MIT Media Lab and Universidad Carlos III de Madrid. It is a project within the larger Human Dynamics research initiative at the MIT Media Lab, which investigates how computational social science can improve society, government, and companies. Using multiple big data sources, MIT Media Lab researchers seek to understand how people move in urban spaces and how that movement influences or is influenced by income. Among the datasets used in this initiative was location data provided by Cuebiq, through its Data for Good initiative. Cuebiq offers location-intelligence services to approved research and nonprofit organizations seeking to address public problems. To date, the Atlas has published maps of inequality in eleven cities in the United States. Through the Atlas, the researchers hope to raise public awareness about segregation of social mobility in United States cities resulting from economic inequality and support evidence-based policymaking to address the issue.

Data Collaborative Model: Based on the typology of data collaborative practice areas developed by The GovLab, the use of Cuebiq’s location data by MIT Media Lab researchers for the Atlas of Inequality initiative is an example of the research and analysis partnership model of data collaboration, specifically a data transfer approach. In this approach, companies provide data to partners for analysis, sometimes under the banner of “data philanthropy.” Access to data remains highly restrictive, with only specific partners able to analyze the assets provided. Approved uses are also determined in a somewhat cooperative manner, often with some agreement outlining how and why parties requesting access to data will put it to use….(More)”.

Accuracy nudge’ could curtail COVID-19 misinformation online


MIT Sloan: “On February 19 in the Ukrainian town of Novi Sanzhary, alarm went up regarding the new coronavirus and COVID-19, the disease it causes. “50 infected people from China are being brought to our sanitarium,” began a widely read post on the messaging app Viber. “We can’t afford to let them destroy our population, we must prevent countless deaths. People, rise up. We all have children!!!”

Soon after came another message: “if we sleep this night, then we will wake up dead.”

Citizens mobilized. Roads were barricaded. Tensions escalated. Riots broke out, ultimately injuring nine police officers and leading to the arrests of 24 people. Later, word emerged that the news was false.

As the director-general of the World Health Organization recently put it, “we’re not just fighting an epidemic; we’re fighting an infodemic.”

Now a new study suggests that an “accuracy nudge” from social media networks could curtail the spread of misinformation about COVID-19. The working paper, from researchers at MIT Sloan and the University of Regina, examines how and why misinformation about COVID-19 spreads on social media. The researchers also examine a simple intervention that could slow this spread. (The paper builds on prior work about how misinformation diffuses online.)…(More)”.

A Data Ecosystem to Defeat COVID-19


Paper by Bapon Fakhruddin: “…A wide range of approaches could be applied to understand transmission, outbreak assessment, risk communication, cascading impacts assessment on essential and other services. The network-based modelling of System of Systems (SOS), mobile technology, frequentist statistics and maximum-likelihood estimation, interactive data visualization, geostatistics, graph theory, Bayesian statistics, mathematical modelling, evidence synthesis approaches and complex thinking frameworks for systems interactions on COVID-19 impacts could be utilized. An example of tools and technologies that could be utilized to act decisively and early to prevent the further spread or quickly suppress the transmission of COVID-19, strengthen the resilience of health systems and save lives and urgent support to developing countries with businesses and corporations are shown in Figure 2. There are also WHO guidance on ‘Health Emergency and Disaster Risk Management[8]’, UNDRR supported ‘Public Health Scorecard Addendum[9]’, and other guidelines (e.g. WHO practical considerations and recommendations for religious leaders and faith-based communities in the context of COVID-19[10]) that could enhance pandemic response plan. It needs to be ensured that any such use is proportionate, specific and protected and does not increase civil liberties’ risk. It is essential therefore to examine in detail the challenge of maximising data use in emergency situations, while ensuring it is task-limited, proportionate and respectful of necessary protections and limitations. This is a complex task and the COVID-19 wil provide us with important test cases. It is also important that data is interpreted accurately. Otherwise, misinterpretations could lead each sector down to incorrect paths.

Figure 2: Tools to strengthen resilience for COVID-19

Many countries are still learning how to make use of data for their decision making in this critical time. The COVID-19 pandemic will provide important lessons on the need for cross-domain research and on how, in such emergencies, to balance the use of technological opportunities and data to counter pandemics against fundamental protections….(More)”.

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment


Paper by Mirco Nanni: “The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the phase 2 of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by the app are all sent to a nation-wide server, raises concerns about citizens’ privacy and needlessly strong digital surveillance, thus alerting us to the need to minimize personal data collection and avoiding location tracking.

We advocate the conceptual advantage of a decentralized approach, where both contact and location data are collected exclusively in individual citizens’ “personal data stores”, to be shared separately and selectively, voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity.

This approach better protects the personal sphere of citizens and affords multiple benefits: it allows for detailed information gathering for infected people in a privacy-preserving fashion; and, in turn this enables both contact tracing, and, the early detection of outbreak hotspots on more finely-granulated geographic scale. Our recommendation is two-fold. First to extend existing decentralized architectures with a light touch, in order to manage the collection of location data locally on the device, and allow the user to share spatio-temporal aggregates – if and when they want, for specific aims – with health authorities, for instance. Second, we favour a longer-term pursuit of realizing a Personal Data Store vision, giving users the opportunity to contribute to collective good in the measure they want, enhancing self-awareness, and cultivating collective efforts for rebuilding society….(More)”

The Meaning of Masks


Paper by Cass Sunstein: “Many incentives are monetary, and when private or public institutions seek to change behavior, it is natural to change monetary incentives. But many other incentives are a product of social meanings, about which people may not much deliberate, but which can operate as subsidies or as taxes. In some times and places, for example the social meaning of smoking has been positive, increasing the incentive to smoke; in other times and places, it has been negative, and thus served to reduce smoking.

With respect to safety and health, social meanings change radically over time, and they can be dramatically different in one place from what they are in another. Often people live in accordance with meanings that they deplore, or at least wish were otherwise. But it is exceptionally difficult for individuals to alter meanings on their own. Alteration of meanings can come from law, which may, through a mandate, transform the meaning of action into a bland, “I comply with law,” or into a less bland, “I am a good citizen.” Alteration of social meanings can also come from large-scale private action, engineered or promoted by “meaning entrepreneurs,” who can turn the meaning of action from, “I am an oddball,” to, “I do my civic duty,” or, “I protect others from harm.” Sometimes subgroups rebel against new or altered meanings, produced by law or meaning entrepreneurs, but often those meanings stick and produce significant change….(More)”.

Federalism and Polycentric Government in a Pandemic


Paper by Victoria Perez and Justin M. Ross: “Networks of overlapping local governments are the front line of governmental responses to pandemics. Local governments, both general purpose (municipalities, counties, etc.) and special districts (school, fire, police, hospital, etc.), implement state and federal directives while acting as a producer and as a third-party payer in the healthcare system. They possess local information necessary in determining the best use of finite resources and available assets. Furthermore, a liberal society requires voluntary cooperation of citizens skeptical of opportunistic authoritarianism. Therefore, successful local governance instills a reassuring division of political power.

The COVID-19 pandemic has created two significant challenges for local governments in their efforts to respond effectively to the crisis: public finance and intergovernmental collaboration. This brief recommends practical solutions to meet these challenges….(More)”.