Summer Institute in Computational Social Science (SICSS) 2019

Network-based learning for understanding collective human behaviour

One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. The full programme, downloadable slides & data, and more details about the institute can be found at https://compsocialscience.github.io/summer-institute/2019/oxford/ SICSS-Oxford received financial support from the University of Oxford’s Van Houten fund, the Social Sciences Division’s Teaching Development and Enhancement Project (TDEP) award, Nuffield College, Alfred P. Sloan Foundation and Russell Sage Foundation.

Statistical concepts: A framework for research

One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. The full programme, downloadable slides & data, and more details about the institute can be found at https://compsocialscience.github.io/summer-institute/2019/oxford/ SICSS-Oxford received financial support from the University of Oxford’s Van Houten fund, the Social Sciences Division’s Teaching Development and Enhancement Project (TDEP) award, Nuffield College, Alfred P. Sloan Foundation and Russell Sage Foundation.

Eliciting Data in Challenging Intercultural Settings

One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. The full programme, downloadable slides & data, and more details about the institute can be found at https://compsocialscience.github.io/summer-institute/2019/oxford/ SICSS-Oxford received financial support from the University of Oxford’s Van Houten fund, the Social Sciences Division’s Teaching Development and Enhancement Project (TDEP) award, Nuffield College, Alfred P. Sloan Foundation and Russell Sage Foundation.

Advances in Computational and Experimental Social Sciences

One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. The full programme, downloadable slides & data, and more details about the institute can be found at https://compsocialscience.github.io/summer-institute/2019/oxford/ SICSS-Oxford received financial support from the University of Oxford’s Van Houten fund, the Social Sciences Division’s Teaching Development and Enhancement Project (TDEP) award, Nuffield College, Alfred P. Sloan Foundation and Russell Sage Foundation.

Workshop on non-probability surveys

One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. Probabilistic linkage; Mixing census and big surveys; Multilevel Regression and Poststratification; ML and Bayesian approaches. The full programme, downloadable slides & data, and more details about the institute can be found at https://compsocialscience.github.io/summer-institute/2019/oxford/ SICSS-Oxford received financial support from the University of Oxford’s Van Houten fund, the Social Sciences Division’s Teaching Development and Enhancement Project (TDEP) award, Nuffield College, Alfred P. Sloan Foundation and Russell Sage Foundation.