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Data Visualization for Humanities

Speaker: Jean Bauer

Jean Bauer is the Digital Humanities Librarian at Brown University, where she works with faculty, students, and fellow librarians to design and implement digital systems that showcase and facilitate scholarship in the humanities. Through a combination of formal training and curiosity she is an early American historian, database designer, and photographer. She is finishing her dissertation "Revolution-Mongers: Launching the U.S. Foreign Service, 1775-1825" in the Corcoran Department of History at the University of Virginia and has developed The Early American Foreign Service Database (www.eafsd.org). For more information, see her website www.jeanbauer.com


Speaker: Carolin Ferwerda

Carolin Ferwerda works with faculty and students to provide planning and support for data-focused research and instruction at Wellesley College. She specializes in GIS and statistics support, including project planning, software training, and curriculum development. Carolin has a background in geospatial technology, with a BS in Natural Resources from Cornell University and a MS in Geography from Rutgers University. She is interested in effectively and purposefully integrating technology in the curriculum, exploring new methods of data visualization to enhance learning, and promoting spatial literacy and GIS across all disciplines.


Speaker: Amy Papaelias

Amy Papaelias is an Assistant Professor in the Graphic Design program at SUNY New Paltz, teaching courses in web and interaction design, as well as 2D design and visual communication. She holds an MFA in Intermedia Design from SUNY New Paltz and a BA in Cultural Studies from McGill University. Her creative research lies at the intersection of design, culture and technology with specific interests in interactive typography and the digital humanities.


Speaker: Cassandra Pattanayak

Cassandra Pattanayak is the Jack and Sandra Polk Guthman ’65 Director of the Quantitative Analysis Institute at Wellesley College. As the founding director of the QAI, she collaborates with researchers from a variety of fields, provides and coordinates statistical consulting, and runs workshops for faculty and students, with the goal of expanding the role of statistics at the college. She teaches statistics courses at the introductory and advanced levels during the year, as well as the QAI Summer Course, designed to introduce advanced statistical skills to student researchers. Before coming to Wellesley, she received a Ph.D. in statistics from Harvard University, advised by Donald B. Rubin, and taught on the statistics faculty there for two years.

Dr. Pattanayak’s research focuses on causal inference, with applications to education, law, medicine, and women’s health. In particular, she develops tools that allow rigorous causal inference for applied projects that are complicated by practical constraints. Her work has included measuring the impact of offering free legal assistance to indigent clients; developing best practices for in vitro fertilization; and evaluating teacher assessment systems. She is also interested in statistics education and course design. She has worked as a consultant and collaborator with Bayer HealthCare Pharmaceuticals, the Centers for Disease Control and Prevention, New York University Hospital for Joint Disease, Harvard Law School, and private law firms.

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