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Summer Institute in Computational Social Science (SICSS) 2019 Oxford University
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- 교육
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.
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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. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ -
- video
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. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ -
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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. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ -
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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. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ -
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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. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ -
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Computational Text Analysis (part 2)
One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. Three methods to large-scale text analysis–how they work and what they can(‘t) do.
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. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/
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