Tribalism Comes for Pandemic Science



Yuval Levin at The New Atlantis: “he Covid-19 pandemic has tested our society in countless ways. From the health system to the school system, the economy, government, and family life, we have confronted some enormous and unfamiliar challenges. But many of these stresses are united by the need to constantly adapt to new information and evidence and accept that any knowledge we might have is only provisional. This demands a kind of humble restraint — on the part of public health experts, political leaders, and the public at large — that our society now finds very hard to muster.

The virus is novel, so our understanding of what responding to it might require of us has had to be built on the fly. But the polarized culture war that pervades so much of our national life has made this kind of learning very difficult. Views developed in response to provisional assessments of incomplete evidence quickly rigidify as they are transformed into tribal markers and then cultural weapons. Soon there are left-wing and right-wing views on whether to wear masks, whether particular drugs are effective, or how to think about social distancing.

New evidence is taken as an assault on these tribal commitments, and policy adjustments in response are seen as forms of surrender to the enemy. Every new piece of information gets filtered through partisan sieves, implicitly examined to see whose interest it serves, and then embraced or rejected on that basis. We all do this. You’re probably doing it right now — skimming quickly to the end of this piece to see if I’m criticizing you or only those other people who behave so irresponsibly….(More)”.

Constructing Digital Democracies: Facebook, Arendt, and the Politics of Design


Paper by Jennifer Forestal: “Deliberative democracy requires both equality and difference, with structures that organize a cohesive public while still accommodating the unique perspectives of each participant. While institutions like laws and norms can help to provide this balance, the built environment also plays a role supporting democratic politics—both on- and off-line.

In this article, I use the work of Hannah Arendt to articulate two characteristics the built environment needs to support democratic politics: it must (1) serves as a common world, drawing users together and emphasizing their common interests and must also (2) preserve spaces of appearance, accommodating diverse perspectives and inviting disagreement. I, then, turn to the example of Facebook to show how these characteristics can be used as criteria for evaluating how well a particular digital platform supports democratic politics and providing alternative mechanisms these sites might use to fulfill their role as a public realm….(More)”.

Libraries Supporting Open Government: Areas for Engagement and Lessons Learned


Report by IFLA: “This report explores the roles libraries play in different countries’ Open Government Partnership Action Plans. Within the OGP framework, states and civil society actors work together to set out commitments for reforms, implement and review the impacts in recurring two-year cycles.

In different countries’ OGP commitments over the years, libraries and library associations assisted other agencies with the implementation of their commitments, or lead their own initiatives. Offering venues for civic engagement, helping develop tools and platforms for easier access to government records, providing valuable cultural Open Data and more – libraries can play a versatile role in supporting and enabling Open Government.

The report outlines the Open Government policy areas that libraries have been engaged in, the roles they took up to help deliver on OGP commitments, and some of the key ways to maximise the impact of library interventions, drawing on the lessons from earlier OGP cycles….(More)”.

An Introduction to Ethics in Robotics and AI


Book by Christoph Bartneck, Christoph Lütge, Alan Wagner and Sean Welsh: “This open access book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal or philosophical expertise. Throughout, the authors use examples to illustrate the issues at hand and conclude the book with a discussion on the application areas of AI and Robotics, in particular autonomous vehicles, automatic weapon systems and biased algorithms. A list of questions and further readings is also included for students willing to explore the topic further….(More)”.

Digital contact tracing and surveillance during COVID-19


Report on General and Child-specific Ethical Issues by Gabrielle Berman, Karen Carter, Manuel García-Herranz and Vedran Sekara: “The last few years have seen a proliferation of means and approaches being used to collect sensitive or identifiable data on children. Technologies such as facial recognition and other biometrics, increased processing capacity for ‘big data’ analysis and data linkage, and the roll-out of mobile and internet services and access have substantially changed the nature of data collection, analysis, and use.

Real-time data are essential to support decision-makers in government, development and humanitarian agencies such as UNICEF to better understand the issues facing children, plan appropriate action, monitor progress and ensure that no one is left behind. But the collation and use of personally identifiable data may also pose significant risks to children’s rights.

UNICEF has undertaken substantial work to provide a foundation to understand and balance the potential benefits and risks to children of data collection. This work includes the Industry Toolkit on Children’s Online Privacy and Freedom of Expression and a partnership with GovLab on Responsible Data for Children (RD4C) – which promotes good practice principles and has developed practical tools to assist field offices, partners and governments to make responsible data management decisions.

Balancing the need to collect data to support good decision-making versus the need to protect children from harm created through the collection of the data has never been more challenging than in the context of the global COVID-19 pandemic. The response to the pandemic has seen an unprecedented rapid scaling up of technologies to support digital contact tracing and surveillance. The initial approach has included:

  • tracking using mobile phones and other digital devices (tablet computers, the Internet of Things, etc.)
  • surveillance to support movement restrictions, including through the use of location monitoring and facial recognition
  • a shift from in-person service provision and routine data collection to the use of remote or online platforms (including new processes for identity verification)
  • an increased focus on big data analysis and predictive modelling to fill data gaps…(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 and strategically so that communication pathways and decision-making are optimized. Our recently published research shows that optimal communication networks can emerge from within an organization when decision makers interact dynamically and receive frequent performance feedback. The results have practical implications for effective decision-making in times of dramatic change….

Our experiments illustrate the importance of dynamically configuring network structures and enabling decision makers to obtain useful, recurring feedback. But how do you apply such findings to real-world decision-making, whether remote or face to face, when constrained by a worldwide pandemic? In such an environment, connections among individuals, teams, and networks of teams must be continually reorganized in response to shifting circumstances and challenges. No single network structure is optimal for every decision, a fact that is clear in a variety of organizational contexts.

Public sector. Consider the teams of advisers working with governments in creating guidelines to flatten the curve and help restart national economies. The teams are frequently reconfigured to leverage pertinent expertise and integrate data from many domains. They get timely feedback on how decisions affect daily realities (rates of infection, hospitalization, death) — and then adjust recommended public health protocols accordingly. Some team members move between levels, perhaps being part of a state-level team for a while, then federal, and then back to state. This flexibility ensures that people making big-picture decisions have input from those closer to the front lines.

Witness how Germany considered putting a brake on some of its reopening measures in response to a substantial, unexpected uptick in COVID-19 infections. Such time-sensitive decisions are not made effectively without a dynamic exchange of ideas and data. Decision makers must quickly adapt to facts reported by subject-area experts and regional officials who have the relevant information and analyses at a given moment….(More)“.

Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data


Book by Khaled El Emam, Lucy Mosquera, and Richard Hoptroff: “Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data—fake data generated from real data—so you can perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenue.

Data scientists will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps for generating synthetic data from real datasets. And business leaders will see how synthetic data can help accelerate time to a product or solution.

This book describes:

  • Steps for generating synthetic data using multivariate normal distributions
  • Methods for distribution fitting covering different goodness-of-fit metrics
  • How to replicate the simple structure of original data
  • An approach for modeling data structure to consider complex relationships
  • Multiple approaches and metrics you can use to assess data utility
  • How analysis performed on real data can be replicated with synthetic data
  • Privacy implications of synthetic data and methods to assess identity disclosure…(More)”.

The Food Systems Dashboard


About: “The Food Systems Dashboard combines data from multiple sources to give users a complete view of food systems. Users can compare components of food systems across countries and regions. They can also identify and prioritize ways to sustainably improve diets and nutrition in their food systems.

Dashboards are useful tools that help users visualize and understand key information for complex systems. Users can track progress to see if policies or other interventions are working at a country or regional level

In recent years, the public health and nutrition communities have used dashboards to track the progress of health goals and interventions, including the Sustainable Development Goals. To our knowledge, this is the first dashboard that collects country-level data across all components of the food system.

The Dashboard contains over 150 indicators that measure components, drivers, and outcomes of food systems at the country level. As new indicators and data become available, the Dashboard will be updated. Most data used for the Dashboard is open source and available to download directly from the website. Data is pooled from FAO, Euromonitor International, World Bank, and other global and regional data sources….(More)”.

Saving Our Oceans: Scaling the Impact of Robust Action Through Crowdsourcing


Paper by Amanda J. Porter, Philipp Tuertscher, and Marleen Huysman: “One approach for tackling grand challenges that is gaining traction in recent management literature is robust action: by allowing diverse stakeholders to engage with novel ideas, initiatives can cultivate successful ideas that yield greater impact. However, a potential pitfall of robust action is the length of time it takes to generate momentum. Crowdsourcing, we argue, is a valuable tool that can scale the generation of impact from robust action.

We studied an award‐winning environmental sustainability crowdsourcing initiative and found that robust action principles were indeed successful in attracting a diverse stakeholder network to generate novel ideas and develop these into sustainable solutions. Yet we also observed that the momentum and novelty generated was at risk of getting lost as the actors and their roles changed frequently throughout the process. We show the vital importance of robust action principles for connecting ideas and actors across crowdsourcing phases. These observations allow us to make a contribution to extant theory by explaining the micro‐dynamics of scaling robust action’s impact over time…(More)”.

Narrative Change: How Changing the Story Can Transform Society, Business, and Ourselves


Book by Hans Hansen: “Texas prosecutors are powerful: in cases where they seek capital punishment, the defendant is sentenced to death over ninety percent of the time. When management professor Hans Hansen joined Texas’s newly formed death penalty defense team to rethink their approach, they faced almost insurmountable odds. Yet while Hansen was working with the office, they won seventy of seventy-one cases by changing the narrative for death penalty defense. To date, they have succeeded in preventing well over one hundred executions—demonstrating the importance of changing the narrative to change our world.

In this book, Hansen offers readers a powerful model for creating significant organizational, social, and institutional change. He unpacks the lessons of the fight to change capital punishment in Texas—juxtaposing life-and-death decisions with the efforts to achieve a cultural shift at Uber. Hansen reveals how narratives shape our everyday lives and how we can construct new narratives to enact positive change. This narrative change model can be used to transform corporate cultures, improve public services, encourage innovation, craft a brand, or even develop your own leadership.

Narrative Change provides an unparalleled window into an innovative model of change while telling powerful stories of a fight against injustice. It reminds us that what matters most for any organization, community, or person is the story we tell about ourselves—and the most effective way to shake things up is by changing the story….(More)”.