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2019

Teaching and learning materials

2019 Summer Institutes for Computational Social Science

Princeton, NJ (Princeton University)

Matthew Salganik and Chris Bail, taught in English using R

Day 1: Introduction and Ethics

Day 2: Collecting Digital Trace Data

Day 3: Automated Text Analysis

Day 4: Surveys in the Digital Age

Day 5: Mass Collaboration

Day 6: Experiments

License

All slides and video are released under a CC-BY license, and all code is released under an MIT license. Raw materials for many of these slides–including images, .Rmd, and .tex files—are available here.

Istanbul, Turkey (Kadir Has University)

Matti Nelimarkka and Akin Unver, taught in English using R

Day 1: Introduction and Ethics

Day 2: Automated Data Collection

Day 3: Text Analysis

Day 4: Machine Learning

License

All slides are released under a CC-BY license, and all code is released under an MIT license.

Bamberg, Germany (University of Bamberg)

Julian Hohner, Thomas Saalfeld, and Carsten Schwemmer, taught in English using R

Day 1: Introduction and Ethics

Day 2: Collecting Digital Trace Data

Day 3: Social Network Analysis

Day 4: Automated Text Analysis

License

All slides are released under a CC-BY license, and all code is released under an MIT license.

Chicago, Illinois (Northwestern University)

Kat Albrecht, Natalie Gallagher, and Tina Law, taught in English using R

Oxford, England (Oxford University)

Ridhi Kashyap, Nicolo Cavalli, and Taylor Brown, taught in English using R

Day 2: Collecting Digital Trace Data

Day 3: Computational Text Analysis

Day 5: Non-probability Surveys and Machine Learning

Day 6: Experiments

License

All slides are released under a CC-BY license, and all code is released under an MIT license.

Research Triangle Park, NC (RTI International)

Antje Kirchner, Craig Hill, Alan Blatecky, Helen Jang, and Jacqueline Olich, taught in English using R

Day 5: Machine Learning and Synthetic Populations

License

All slides are released under a CC-BY license, and all code is released under an MIT license.

2018

Teaching and learning materials

2018 Summer Institutes for Computational Social Science

Duke University, Chris Bail and Matthew Salganik, taught in English using R

Day 1: Introduction and Ethics

Day 2: Collecting Digital Trace Data

Day 3: Automated Text Analysis

Day 4: Surveys in the Digital Age

Day 5: Mass Collaboration

Day 6: Experiments

Participant flash talks

License

All slides and video are released under a CC-BY license, and all code is released under an MIT license. Raw materials for many of these slides–including images, .Rmd, and .tex files—are available here.

University of Colorado-Boulder, Brian Keegan and Allie Morgan, taught in English using Python

Day 1: Introduction and Ethics

Day 2: Collecting Digital Trace Data

Day 3: Network Analysis

Day 4: Automated Text Analysis

Day 5: Experiments / Causal Inference

License

All slides are released under a CC-BY license, and all code is released under an MIT license. Raw materials for many of these slides are available here.

University of Helsinki, Matti Nelimarkka, taught in English using R

Day 1: Introduction and Ethics

Day 2: Automated Data Collection

Day 3: Automated Text Analysis

License

All slides are released under a CC-BY license, and all code is released under an MIT license. Raw materials for many of these slides are available here.

2017

Teaching and learning materials

2017 Summer Institutes for Computational Social Science

Princeton University, Matthew Salganik and Chris Bail, taught in English using R

Day 1: Introduction and Ethics

Day 2: Collecting Digital Trace Data

Day 3: Automated Text Analysis

Day 4: Surveys in the Digital Age

Day 5: Mass Collaboration

Day 6: Experiments

License

All slides and video are released under a CC-BY license, and all code is released under an MIT license. Raw materials for many of these slides–including images, .Rmd, and .tex files—are available here.