Peter Martin Krafft

Peter Krafft

In my research I develop new social data analysis methods to better understand rumors, fads, disinformation, and information flow. Some of my recent work in these areas has also touched on public understanding of science and public understanding of artificial intelligence (AI). The methods I have developed span observational data analysis, behavioral modeling, online laboratory experimentation, and online field experimentation. Several of my research projects have specific implications that could inform pressing policy issues, such as the development of systems for dealing with certain types of misinformation, the design of online financial exchange platforms, ethical approaches to social data science, and AI governance.

I am currently a Moore/Sloan & WRF Innovation in Data Science Postdoctoral Fellow at the University of Washington, where I work in the DataLab and co-direct the Critical Platform Studies Group, and I am a part-time postdoctoral researcher at the University of California Berkeley's Social Science Matrix. I completed my PhD in Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, where I was located in the Computer Science and Artificial Intelligence Laboratory. I publish across human-computer interaction (HCI) and AI, and have won awards for my teaching and research.

In June, I will be joining the faculty of the Oxford Internet Institute in the Social Sciences Division of the University of Oxford.

Primary Research Groups:

UW Critical Platform Studies Group (CritPlat)
UW DataLab
Berkeley/Princeton Computational Cognitive Science Lab