The Summer Institute in Computational Social Science (SICSS) brings together graduate students, postdoctoral researchers, and beginning faculty interested in computational social science. SICSS is for both social scientists and data scientists. In 2019, SICCS will be held from the evening of Sunday, June 16 to the morning of Saturday, June 29, 2019 at Princeton University. Because many more people are expected to apply than can be accommodated at Princeton, we are hosting a partner site at Oxford University (SICSS-Oxford).
SICSS-Oxford will run simultaneously to the the Institute at Princeton: June 16 to June 29. It is organized by former participants of the 2017 and 2018 SICSS workshops and will feature local speakers and live streams from Princeton. In the afternoons of the first week, participants at the Oxford location will also be able to work in teams to learn how to implement the material from the lectures. In the second week, participants will form teams to develop a research project related to computational social science.
The instructional program will involve lectures, group problem sets, and participant-led research projects. There will also be outside speakers who conduct computational social science research in academia, industry, and government. Topics covered include text as data, website scraping and digital trace data, digital field experiments, non-probability sampling, and ethics. There will be ample opportunities for students to discuss their ideas and research with the organizers, other participants, and visiting speakers. Because we are committed to open and reproducible research, all materials created by faculty and students for the Summer Institute will be released open source.
The Summer Institute in Computational Social Science is funded in part by grants from the Russell Sage Foundation and the Alfred P. Sloan Foundation. There are no registration fees for participating in SICSS-Oxford.
Participants are expected to attend both weeks of the institute. Meals will be provided for all participants at SICSS-Oxford during the event. Limited subsidies for accommodation and travel for those participants from outside Oxford may be available.
Ridhi Kashyap is associate professor of social demography and fellow of Nuffield College at the University of Oxford. She completed her DPhil in Sociology jointly affiliated with the University of Oxford and Max Planck Institute for Demographic Research. Her research spans a number of substantive areas in demography and sociology, including gender, mortality and health, the diversification of family forms, and ethnicity and migration. Her work has sought to adopt computational innovations both in terms of modelling approaches such as agent-based models and digital trace data from web and social media platforms to study social and demographic processes. She is currently leading a Data2X and UN Foundation supported project that uses big data from the web, in particular large-scale online advertising data that provide information on the aggregate numbers of users of online platforms by demographic characteristics, to measure sustainable development and gender inequality indicators.
Nicolò is a DPhil candidate in Sociology at Nuffield College, University of Oxford. He holds a BA in Politics from University of Bologna and a MSc in Economics from Bocconi University, Milan. Before joining Nuffield College, Nicolò worked as journalist, reporting on social issues and political movements from Italy, Greece, Catalunya, California and Peru. His Doctoral Thesis focuses on how intergroup emotional stratification emerged in Europe in times of economic recession.
Taylor Brown is a doctoral student in the Duke Sociology department, and is associated with the Duke Network Analysis Center. She has broad interests in computational methods and social media studies. Her dissertation explores gender inequality in creative professions. Taylor holds an MA in sociology from UNC-Chapel Hill and an MSc in evidence-based social intervention from the University of Oxford. Prior to beginning her PhD, Taylor fulfilled an appointment at the National Science Foundation in the division of Social and Economic Sciences.
The schedule will be posted in the coming months.