FATE (fairness, accountability, transparency, ethics)

Researching the complex social implications of AI, machine learning, data science, large-scale experimentation, and increasing automation; and developing computational techniques that draw on the deeper context surrounding these issues from sociology, history, and science and technology studies

Researchers Working in this Area

Related Research Projects

Proactive Community Health Protection Against Airborne Diseases through Intelligent and Timely Pathogen Monitoring and Communication

Time frame
2024-Present
Investigator
Dong Wang
Total funding to date
$150,000.00
Funding agency
National Science Foundation

Infectious airborne pathogens and their spread have caused increased incidences of outbreaks and pandemics, which challenge our society with severe impacts on public health, economies, and social well-being. Controlling airborne pathogens is challenging because they are transmitted easily via respiratory aerosols, spread quickly over large distances, and can mutate to become more infectious…

yellow dots representing pathogens

News Stories