Speaker:  Tim Liao, State University of New York at Stony Brook  Abstract: The application of sequence analysis (SA) in the social sciences, especially in life course research, has mushroomed in the last decade and a half. Using a life course analogy, I examine in this talk the birth of SA in the social sciences and...

Speaker: Ian Lundberg, Cornell University  Abstract: This talk is based on a paper with Jennie Brand and Nanum Jeon. Computational power and big data have created new opportunities to explore and understand the social world. A special synergy is possible when social scientists combine human attention to certain aspects of the problem with the power...

Speaker: Ana Macanovic, Utrecht University  Abstract: The emergence of big data and computational tools has introduced new possibilities for using large-scale textual sources in social science research. We discuss five computational text analysis methods that can help researchers analyze large quantities of textual data and discuss exemplary applications in recently published research. First, we show...