Adam Pah is a Clinical Assistant Professor at the Kellogg School of Management and Organizations at Northwestern University. He received his BS from Arizona State University, PhD from Northwestern University, and has worked industrially as a Data Scientist.
He is a Co-Principal Investigator of the Systematic Content Analysis of Litigation EventS Open Knowledge Network (SCALES OKN), a NSF funded effort to transform the transparency and accessibility of court records. The SCALES OKN is a public platform that uses AI to surface insights into systematic patterns and behaviors in court records. The project's goal is to make it easy for lawyers, legal scholars, and journalists to transform difficult question about how the courts operate into easily obtainable information and answers. His primary research for the platform centers on building language models to understand how litigation proceeds, disambiguating entities, and quantifying the extent that legal outcomes vary within and between court districts.
More broadly, Adam is focused on understanding social phenomena that evolve over time and quantifying individual/group decision-making and performance when direct information is scarce. His research program draws from training in statistical and network-based methods and is focused on both population and individual-level data. This mixture leads to collaborations on a wide range of topics. His broader interests and projects include:
Innovation adoption in professional networks; Predicting social dynamics with missing network information; Healthcare networks and decision support; Social policy; Conflict; Contagion in time series; Racial disparities in educational access and attainment.
Impact of artificial intelligence on business; designing and leading data science teams, departments, and initiatives; leveraging crowds for innovation; networks of trust in decentralized contracting systems.
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