Ben Schmidt is a distinguished figure at the intersection of history, data science, and digital humanities. Currently serving as the VP of Information at Nomic AI, he is instrumental in developing tools like Atlas for visualizing and interacting with massive unstructured datasets. Before Nomic, Ben was an Assistant Professor of History at Northeastern University and a core faculty member of the NULab for Texts, Maps, and Networks. He also served as the Director of Digital Humanities at the Cline Center for Advanced Social Research at the University of Illinois. His research leverages computational methods to analyze large-scale historical and cultural data, with a particular focus on text analysis, data visualization, and the history of information. He is known for his innovative projects, such as interactive visualizations of historical ship logs and analyses of movie dialogue, which make complex data accessible and insightful for both academic and public audiences.
Ben Schmidt's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Developed influential interactive visualizations and text analysis tools (e.g., for historical ship logs, movie dialogues, and book data) that have become widely used in digital humanities education and research, significantly advancing how scholars engage with large textual and cultural corpora.
Spearheaded digital humanities initiatives as Core Faculty at Northeastern's NULab and Director of Digital Humanities at the Cline Center, fostering interdisciplinary collaboration and advancing computational approaches to humanistic inquiry.
As VP of Information at Nomic AI, plays a pivotal role in the development and strategy of Atlas, a powerful tool for visualizing, understanding, and interacting with massive unstructured datasets, thereby democratizing access to complex AI model outputs and large-scale data.
Through his widely read blog and academic publications, Ben has become an influential voice discussing the methods, implications, and ethics of data analysis and visualization in the context of cultural and historical research.
Samford University - Year 2003
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