Peter Fader receives 2021 Lindback Award Congratulations to Warren Center affiliate Peter Fader for receiving one of Penn's 2021 Christian R. and Mary F. Lindback Awards for Distinguished Teaching.! Marketing caret-arrow Ubiquity of Data
How COVID could reshape mental health policy Jonathan Moreno addresses the uncertainty over the broader impact on the general health and quality of life of the survivors of COVID-19 in his recent op-ed on The Hill. History and Sociology of Science Medical Ethics and Health Policy caret-arrow Ubiquity of Data
Cyber comfort and security: Sebastian Angel receives NSF CAREER Award Congratulations to Sebastian Angel, who recently received an NSF CAREER Award for his project on “Tools for building online services that hide metadata.“ Computer and Information Science caret-arrow Resilience in Networked Systems
Twitter Bots May Not Be as Influential as You Think A new study from Sandra González-Bailón found that verified media accounts are more central in the spread of information on Twitter than bots — even though they amount to a much smaller fraction of all accounts active. Communication caret-arrow Consensus and Contagion in Society
What’s Ahead in the Second Year of COVID-19? Gad Allon comments on what's ahead in 2021 as the ground keeps shifting, vaccines are rolled out, and new coronavirus mutations emerge. Operations Information and Decisions caret-arrow Ubiquity of Data
Modeling Brain Networks and Bias in Science Dani Bassett spoke on an episode of the podcast OHBM Neurosalience on network control theory for modulating networks for therapy and limitations in technology for modulation. Bioengineering Electrical and Systems Engineering caret-arrow Evolution, Emergence and the Brain
Prof. Baker’s COVID Coverage Litigation Tracker The COVID Coverage Litigation Tracker (CCLT), created by Tom Baker, will enable scholars and researchers to study in real time how courts respond to the challenges posed by a new wave of mass litigation. Law caret-arrow Ubiquity of Data
An ‘electronic nose’ to sniff out COVID-19 Through a newly funded grant, researchers across the University, including Lyle Ungar, are developing a device that can rapidly detect COVID-19 based on the disease’s unique odor profile. Computer and Information Science caret-arrow Ubiquity of Data
How Artificial Intelligence Can Slow the Spread of COVID-19 Hamsa Bastani spoke with Wharton Business Daily about a new machine learning approach to COVID-19 testing at the Greek border. Operations Information and Decisions caret-arrow Social Norms for Algorithms
What is an “algorithm”? It depends whom you ask In a recent MIT Tech Review op-ed, Kristian Lum examines the effect of unclear definitions of the term “algorithm” and emphasizes that focus on these systems should be shifted from their design to their impact. Computer and Information Science caret-arrow Social Norms for Algorithms
