Using Natural Language Processing to Organize and Analyze Oral History Projects

Using Natural Language Processing to Organize and Analyze Oral History Projects

Christopher M. Pandza

Pandza_OHMA_Thesis_20230510

Chris Pandza graduated from OHMA in 2023, where his studies focused on using artificial intelligence to organize, analyze, and generate oral histories. Chris is interested in experimenting with tools to make large oral history corpora more accessible to end-users, including researchers and the general public.
Chris currently works in design at Incite, where he touches on projects including the Obama Presidency Oral History, I See My Light Shining, Logic(s) magazine, Assembling Voices, and MyVote Project. Prior to joining Incite, Chris held various roles in tech, media, and telecom, including managing marketing for Disney Channel, Cartoon Network, and TELUS Communications. Chris also helped produce the podcast Hazard NJ, which won the New Jersey Journalism Impact Award in 2022.
Chris holds a BA in Media and an HBA in Business Administration from Western University, Canada, and an MA in Oral History from Columbia University.