Social Sciences

GraphXD - Graphs Analysis Across Domains

BIDS GraphXD is a cross-domain initiative that promotes interdisciplinary collaboration and training for researchers, scientists, and theorists interested in using graphs and network analysis for applications in a variety of fields across STEAM including (but not limited to) anthropology, art, biology, computer science, economics, history, linguistics, mathematics, physics, and sociology.

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From 'Static' to 'Research Ready' - Preparing Archives for Computational Text Analysis

Building on the success of its “Collections as Data” symposium last year, the Library of Congress National Digital Initiatives (NDI) again hosted a daylong symposium featuring a cadre of experts to explore the value of using digital collections and their impact on the public. The symposium featured case studies and impact stories about the application of digital methods in analyzing and sharing collections.

BIDS Fellow Nick Adams presented this talk at the Library of Congress National Digital Initiatives (NDI) on July 25, 2017.

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From Static Archive to Research-Ready Database: Preparing the Congressional Record for Computational Social Science

In this talk at the Library of Congress' Collections as Data Symposium on July 25, 2017, BIDS' Nick Adams gave this talk about creating tutorials to teach archivists, librarians, and computational researchers how to make public digital archives accessible for computational text analysis techniques, allowing us to ask and answer more interesting and complex questions of those textual archives. This project also won a grant from the Social Science Research Council.

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Linguistic-Mediation of Visual Saliency: Using ROC to Compare Multi-Dimensional Datasets

Read more about Linguistic-Mediation of Visual Saliency: Using ROC to Compare Multi-Dimensional Datasets

Gender, Prestige, and Productivity in Academic Hiring Networks and Career Trajectories

Read more about Gender, Prestige, and Productivity in Academic Hiring Networks and Career Trajectories

Connected Corridors: New Methods for Urban Traffic Management

Read more about Connected Corridors: New Methods for Urban Traffic Management

Telling Your Data Story with Bokeh

BIDS Data Science Lecture Series | October 7, 2016 | 1:10-2:30 p.m. | 190 Doe Library, UC Berkeley

Bokeh is a data visualization library that gives you the power of custom interactive visualizations that you can publish on the web but lets you build them in Python. It can also be used as an exploratory data-analysis tool, and staying in the language of your analysis means that you can move seamlessly into presentation. This can be very powerful. In this talk, Sarah will cover the following: