
Season 2 Trailer | COVID-19
04/01/20 • 2 min
In light of recent developments related to COVID-19, we have decided to push back our second season to focus instead on what we can learn from the coronavirus in terms of technology and society. In our mini-season, we will cover the use of large-scale public health data, remote education, and the future of work.
In light of recent developments related to COVID-19, we have decided to push back our second season to focus instead on what we can learn from the coronavirus in terms of technology and society. In our mini-season, we will cover the use of large-scale public health data, remote education, and the future of work.
Previous Episode

A Policy Roadmap
Over the last 9 episodes, we’ve presented a variety of questions and concerns relating to the impacts of technology, specifically focusing on artificial intelligence. To end season 1, we want to take a step back and lay out a policy roadmap that came together from the interviews and research we conducted. We will outline over 20 different steps and actions that policymakers can take, starting with laying the necessary foundations to applying regulatory frameworks from other industries to novel approaches.
Next Episode

Pandemics, Public Data, and Privacy
Mobile data records, tracking devices and government-mandated selfies have played a large role in both enforcing quarantines and providing data to better understand the coronavirus. In this week’s episode of Consequential, hosts Eugene and Lauren talk to Wilbert Van Panhuis, an infectious disease epidemiologist at the University of Pittsburgh; Tom Mitchell, the Lead Technologist of the Block Center and a computer scientist at Carnegie Mellon University; and Scott Andes, the Executive Director of the Block Center, about the importance of collecting and using data for public health, the individual privacy concerns that arise as a result of this data collection, and the challenges of striking a balance between societal benefit and personal privacy. This episode is part one of a two-episode look on large-scale public health data analytics.
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