Social Sciences

TextXD - Text Analysis Across Domains

TextXD brings together researchers from across a wide range of disciplines, who work with text as a primary source of data, whether they identify as computer, social, data, or information scientists, including linguists. We work to identify common principles, algorithms and tools to advance text-intensive research, and break down the boundaries between domains, to foster exchange and new collaborations among like-minded researchers. TextXD aims to:

From Face Detection to the Faces of Scientific Images

Student Evaluations of Teaching (Mostly) Do Not Measure Teaching Effectiveness

BIDS Spring 2016 Data Science Faire | May 3, 2016 | 1:30-4:30 p.m. | 190 Doe Library, UC Berkeley

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