Daniel Acuna develops machine learning methods to study knowledge production and safeguard research integrity. He leads the Science of Science and Computational Discovery Lab and co-organizes the Science of Science Summer School and the Computational Research Integrity Conference.
Aaron Clauset studies networks and the science of science, including academic hiring, prestige, and career dynamics. An AAAS Fellow and external faculty member at the Santa Fe Institute, he develops network inference methods that connect research across the center’s two themes.
Maria Pacheco develops NLP and structured prediction methods for computational social science. Her work combines neural models with structured knowledge to study media framing, institutional discourse, and social reasoning.
Maria Antoniak works at the intersection of NLP and cultural analytics, with applications in healthcare communication, online communities, and AI evaluation. Previously at the Allen Institute for AI and Cornell, she develops methods to study narrative, relational dynamics, and how AI tools change institutional text.
Casey Fiesler researches technology policy, internet law, and AI governance. Her work on the societal dimensions of computing, social media, and online communities connects AIKI’s research to policy and public understanding.
Alexis Palmer specializes in computational semantics, discourse analysis, and NLP for low-resource languages. Her cross-lingual methods and collaborations on neuro-symbolic semantic representations bring linguistic theory to the center’s work across languages and cultures.
Organizational Leadership and Information Analytics · Leeds School of Business
Abe Handler develops NLP methods for business and social systems, including information extraction and text summarization. His research on organizational communication and decision-making connects the center’s work to how AI is adopted and used within organizations.