Dr. Krafft is an information scientist who studies beliefs, ideology, and institutions in the information society, and works and organizes in the area of public interest computing.
Dr Peaks Krafft
Senior Research Fellow
Dr. Krafft is a Senior Research Fellow at the OII in the University of Oxford’s Social Science Division. Dr. Krafft’s research, teaching, and organizing aim to bridge computing, the social sciences, and public interest sector work towards the goals of social responsibility and social justice. Dr. Krafft pursues multiple programs towards this end.
Much of Dr. Krafft’s research centers around using mixed-methods social data science and participatory action research to study beliefs, ideology, and institutions in the information society, with a special focus on these topics in relation to artificial intelligence (AI) and other information systems.
Dr. Krafft also conducts research in computer science and cognitive science with contributions to the areas of distributed AI, multiagent systems, human-computer interaction (HCI), and Bayesian modeling.
Finally, Dr. Krafft actively organizes spaces to facilitate collaborations between computer scientists and the nonprofit, public advocacy, and community organizing sectors.
This collection of work touches upon a range of topics and cases, including the design of social media platforms and social recommendation systems; the dynamics of cryptocurrency markets; the perspectives of flat earth community; the development of autonomous weapons; the spread of rumors, misinformation, and disinformation; and the impact of cybernetic ideologies.
Dr. Krafft employs a wide range of methodologies, from qualitative case studies to large-scale online field experiment, networked online laboratory experiments, mathematical modeling, machine learning, neural networks, and Big Data.
Dr. Krafft mainly publishes in AI and HCI conferences such as NeurIPS, AAAI, AAMAS, CHI, CSCW, and ICWSM, as well as Cognitive Science and Science and Technology Studies (STS) venues.
Before coming to OII, Dr. Krafft received a PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL), where Dr. Krafft was funded in part by a National Science Foundation (NSF) Graduate Research Fellowship. After graduating, Dr. Krafft was a Moore/Sloan & WRF Innovation in Data Science Postdoctoral Fellow at the University of Washington Information School, a postdoctoral researcher at the University of California Berkeley’s Social Science Matrix and Department of Psychology, a visiting postdoctoral scholar at the Data & Society Research Institute in New York City, and a participant in the Harvard Berkman-Klein Center/MIT Media Lab Assembly program.
Dr. Krafft co-directs the Critical Platform Studies Group (CritPlat), which is an international research collective that aims to interrogate and intervene on structures of power that are produced or reproduced by software. CritPlat conducts policy-facing ethnographic research on topics such as AI regulation, government use of information technologies, public understanding of AI, and funding relationships between academia and the tech industry.
Dr. Krafft is excited to collaborate with other researchers, with students of all levels, and with anyone else on any of these topics, and related mission-driven topics not listed!
- Digital institutions
- Machine learning
- Artificial intelligence
- Multiagent systems
- Distributed algorithms
- Distributed statistical inference
- Distributed cognition
- Computational social science
- Cognitive science
- Online laboratory experiments
- Online field experiments
- Mixed methods
- Sociotechnical imaginaries
- Historical materialism
- Standpoint epistemology
- Rational agent modeling
- Science and technology studies
- Sociology of knowledge
- Sociotechnical systems
- Social learning
- Disinformation, misinformation, and rumors
- Flat earth and other hot potatoes
- Technology policy
- Fairness, accountability, transparency, ethics, and justice in algorithmic systems
- Public interest computing
- Tech industry regulation
- Military/tech industry funding of academic research
- Philosophy of social science
Position held at the OII:
- Senior Research Fellow: June 2019 –
- (2018) "An Experimental Study of Cryptocurrency Market Dynamics", Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18. the 2018 CHI Conference, 21 – 26 April 2018. ACM Press.
- (2017) "A Distributed Learning Dynamics in Social Groups", Proceedings of the ACM Symposium on Principles of Distributed Computing. PODC '17: ACM Symposium on Principles of Distributed Computing. ACM.
- (2016) Modeling Human Ad Hoc Coordination. 30th AAAI Conference on Artificial Intelligence (AAAI-16).
- (2020) "Adaptive social networks promote the wisdom of crowds", Proceedings of the National Academy of Sciences. 117 (21) 11379-11386.
- (2020) "Disinformation by Design: The Use of Evidence Collages and Platform Filtering in a Media Manipulation Campaign", Political Communication. 37 (2) 194-214.
- (2019) "“This place does what it was built for”: Designing digital institutions for participatory change", Proceedings of the ACM on Human-Computer Interaction. 3 (CSCW).
7 July 2020
Authors: David Sutcliffe, Peaks Krafft, Joan Donovan
Disinformation campaigns such as those perpetrated by far-right groups in the United States seek to erode democratic social institutions. While many studies have emphasized ...
27 May 2020
Author: Peaks Krafft
As in many countries, the U.K. government is racing to adopt technological approaches to the Coronavirus crisis. The government is pursuing in-house software-driven approaches ...
29 May 2020 El País
Geolocation control, surveillance by electronic wristbands, facial recognition. Governments and citizens doubt between security and freedom. This may be the great technological debate of the 21st century.
In my current role at OII, I am not seeking or accepting military funding, intelligence funding, or funding from for-profit corporations. Before coming to OII my graduate and postdoctoral research was financially supported by the US National Science Foundation (NSF), the US Defense Advanced Research Projects Agency (DARPA), a Moore/Sloan & Washington Research Foundation Innovation in Data Science Postdoctoral Fellowship, AXA, and the American Civil Liberties Union. As part of my science communication and policy outreach, I have given paid talks for the Oxford Prospects program. My research group, the Critical Platform Studies Group, is incorporated as a 501(c)(3) non-profit in the United States.