New Paper Detailing Ethical Challenges Published
Lisa Singh, Agoritsa Polyzou, Yanchen Wang, Jason Farr, and Carole Roan Gresenz have published a…
New French Politics Paper Published
Lina Singh and Andrew Sobanet have published a new article A Big-Data Approach to Contemporary…
Model Construction Meeting Held Online
S3MC researchers working on The Future of Quantitative Research in Social Science: Integrating Social Science…
More and more unstructured, organic data related to human behavior, beliefs, and opinions are being shared online. Because of their availability and richness, these data are an important source of information for social scientists attempting to characterize and predict human and societal dynamics. They give insights that traditional survey data can miss and are less costly to collect. To help facilitate a broader reach of text analytic methods and tools across social, behavioral and economic research, we are creating a community of social scientists across disciplines that will work on different data blending projects to advance their research.
