CSS News

Stanford IRiSS is home to one of approximately 30 Federal Statistical Research Data Centers (FSRDCs) scattered across the country. Since 2010, IRiSS has hosted the Stanford FSRDC at its 30 Alta Road office.

Data science is a large and expanding field, and the issues it confronts vary greatly with each domain of application. To understand issues within each applied domain, one cannot simply read a book on education theory to comprehend it. Therefore, it is important to have a rich immersion and dialogue with the empirical domain.

One of IRiSS's mandates is to facilitate computationally intensive social science research. IRiSS sponsors a number of trainings and workshops to this end, but a major priority is funding research itself.

In compliance with University and Santa Clara County policies, IRiSS professional staff will be working remotely for the following weeks and IRiSS facilities will be closed.

The 10th annual Text as Data conference, sponsored by the Institute for Research in the Social Sciences and Stanford Department of Political Science, was a two-day event that featured social and computer scientists sharing innovative statistical methods for natural language processing across diverse text corpora.

CSS is pleased to announce the awardees for the 2019-2020 Fellowships:

The Stanford Center for Computational Social Science will be hosting the 12th International AAAI Conference on Web and Social Media (ICWSM) June 25-28, 2018. Learn more about the event. 

In a new paper published in the American Political Science Review, Jennifer Pan, an assistant professor of communication and affiliate of the Center for Computational Social Science, found that citizen complaints of lower management wrongdoing in one Chinese city were routinely concealed from senior authorities.

Qitong “Tom” Cao, a senior majoring in political science, is an honors student in the Center on Democracy, Development and the Rule of Law. He is simultaneously earning a master’s degree in management science and engineering, with an emphasis on computational social science.

Lies to appear more interesting and dateable are the most common deception among mobile dating app users according to a new study by Jeff Hancock, Director of the Center for Computational Social Science.