{"id":13427582,"url":"https://github.com/gesiscss/awesome-computational-social-science","last_synced_at":"2025-05-15T06:02:33.015Z","repository":{"id":145031235,"uuid":"591046304","full_name":"gesiscss/awesome-computational-social-science","owner":"gesiscss","description":"A list of awesome resources for Computational Social Science","archived":false,"fork":false,"pushed_at":"2025-04-06T10:53:33.000Z","size":214,"stargazers_count":678,"open_issues_count":4,"forks_count":84,"subscribers_count":36,"default_branch":"main","last_synced_at":"2025-05-10T15:02:27.169Z","etag":null,"topics":["awesome-list","computational-social-science","network-analysis","python","rstats","text-mining"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/gesiscss.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"contributing.md","funding":null,"license":"LICENSE","code_of_conduct":"code-of-conduct.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2023-01-19T20:03:03.000Z","updated_at":"2025-05-08T20:55:39.000Z","dependencies_parsed_at":"2024-01-26T11:27:38.360Z","dependency_job_id":"c2afa6bf-0ba7-4a33-a079-406ff8e69838","html_url":"https://github.com/gesiscss/awesome-computational-social-science","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gesiscss%2Fawesome-computational-social-science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gesiscss%2Fawesome-computational-social-science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gesiscss%2Fawesome-computational-social-science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gesiscss%2Fawesome-computational-social-science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gesiscss","download_url":"https://codeload.github.com/gesiscss/awesome-computational-social-science/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253736096,"owners_count":21955782,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["awesome-list","computational-social-science","network-analysis","python","rstats","text-mining"],"created_at":"2024-07-31T01:00:32.470Z","updated_at":"2025-05-15T06:02:32.966Z","avatar_url":"https://github.com/gesiscss.png","language":"R","funding_links":[],"categories":["Relevant Awesome Lists","R","Other Lists","No-Code Software","Related Awesome Lists","Other awesome lists"],"sub_categories":["GitHub Organizations","TeX Lists","Relevant Awesome Lists","Online Courses"],"readme":"# Awesome Computational Social Science [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)\n\n\u003eAn [awesome](https://github.com/sindresorhus/awesome) curated list of\n\u003eresources for Computational Social Science.  \n\u003e Inspired by [Awesome Network\n\u003e Analysis](https://github.com/briatte/awesome-network-analysis) and others.\n\nThe order of entries within categories is either alphabetically or\nchronologically.  \n**Please add your resources according to the respective ordering**\n\n![logo](logo.png)\n\n\n## Contents\n\n- __[Books](#books)__\n- __[Conferences](#conferences)__\n- __[Education](#education)__\n  - [Online courses and Material](#online-courses-and-material)\n  - [Videos and Lectures](#videos-and-lectures)\n  - [Workshops](#workshops)\n  - [University Course Programs](#university-course-programs)\n- __[Research Groups](#research-groups)__\n- __[Journals](#journals)__\n- __[Selected Papers](#selected-papers)__\n- __[Software](#software)__\n  - [R](#R)\n  - [Python](#python)\n  - [Tutorials](#tutorials)\n- __[Miscellaneous](#miscellaneous)__\n- __[Relevant Awesome Lists](#relevant-awesome-lists)__\n- __[Contributing](#contributing)__\n\n\n## Books\n\n\u003e Entries are ordered chronologically\n\n- [Growing Artificial Societies: Social Science from the Bottom Up](https://mitpress.mit.edu/9780262550253/growing-artificial-societies/), by Joshua M. Epstein and Robert L. Axtell (1996)\n- [Six Degrees: The Science of a Connected Age](https://wwnorton.com/books/9780393325423), by Duncan J. Watts (2004)\n- [Networks, Crowds, and Markets: Reasoning About a Highly Connected World](https://www.cs.cornell.edu/home/kleinber/networks-book/), by David Easley and Jon Kleinberg (2010)\n- [Everything is Obvious](https://www.penguinrandomhouse.com/books/187477/everything-is-obvious-by-duncan-j-watts/), by Duncan J. Watts (2011)\n- [Agent_Zero: Toward Neurocognitive Foundations for Generative Social Science](https://press.princeton.edu/books/hardcover/9780691158884/agentzero), by Joshua M. Epstein (2014)\n- [Social Phenomena: From Data Analysis to Models](https://doi.org/10.1007/978-3-319-14011-7), edited by Bruno Gonçalves, Nicola Perra (2015)\n- [Computational Social Sciences](https://www.springer.com/series/11784/books?page=3), Springer book series (2015-2023)\n- [Big Data Is Not a Monolith](https://mitpress.mit.edu/9780262529488/big-data-is-not-a-monolith/), edited by Cassidy R. Sugimoto, Hamid R. Ekbia, and Michael Mattioli (2016)\n- [Bit By Bit: Social Research in the Digital Age](https://www.bitbybitbook.com/), by Matthew J. Salganik (2017)\n- [Decoding the Social World: Data Science and the Unintended Consequences of Communication](https://mitpress.mit.edu/9780262037075/), by Sandra González-Bailón (2017)\n- [Digital Sociology: The Reinvention of Social Research](https://www.wiley.com/en-us/Digital+Sociology:+The+Reinvention+of+Social+Research-p-9780745684789), by Noortje Marres (2017)\n- [How Behavior Spreads: The Science of Complex Contagions](https://press.princeton.edu/books/hardcover/9780691175317/how-behavior-spreads), by Damon Centola (2018)\n- [The Model Thinker: What You Need to Know to Make Data Work for You](https://www.basicbooks.com/titles/scott-e-page/the-model-thinker/9780465094639/), by Scott E. Page (2018)\n- [What is Digital Sociology?](https://www.wiley.com/en-us/What+is+Digital+Sociology%3F-p-9781509527144), by Neil Selwyn (2019)\n- [The Oxford Handbook of Networked Communication](https://global.oup.com/academic/product/the-oxford-handbook-of-networked-communication-9780190460518?cc=de\u0026lang=en\u0026), edited by Brooke Foucault Welles and Sandra González-Bailón (2020)\n- [Research Exposed: How Empirical Social Science Gets Done in the Digital Age](https://cup.columbia.edu/book/research-exposed/9780231188777), edited by Eszter Hargittai (2020)\n- [Retooling Politics: How Digital Media Are Shaping Democracy](https://doi.org/10.1017/9781108297820), by Andreas Jungherr, Gonzalo Rivero, and Daniel Gayo-Avello (2020)\n- [Sociologia Digital: uma breve introdução](https://repositorio.ufba.br/bitstream/ri/32746/5/SociologiaDigitalPDF.pdf), by Leonardo Nascimento (2020)\n- [A First Course in Network Science](https://cambridgeuniversitypress.github.io/FirstCourseNetworkScience/), by Filippo Menczer, Santo Fortunato, Clayton A. Davis (2020)\n- [How Humans Judge Machines](https://www.judgingmachines.com/), by Cesar A. Hidalgo, Diana Orghian, Jordi Albo Canals, Filipa De Almeida, Natalia Martin (2021)\n- [The Science of Science](https://www.dashunwang.com/book/the-science-of-science), by Dashun Wang and Albert-László Barabási (2021)\n- [Doing Computational Social Science - A Practical Introduction](https://uk.sagepub.com/en-gb/eur/doing-computational-social-science/book266031), by John McLevey (2021)\n- [Big Data and Social Science: Data Science Methods and Tools for Research and Practice, 2nd Edition](https://textbook.coleridgeinitiative.org/), by Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter and Julia Lane (2021)\n- [Text as Data: A New Framework for Machine Learning and the Social Sciences](https://press.princeton.edu/books/paperback/9780691207551/text-as-data),, by Justin Grimmer, Margaret E. Roberts, and Brandon M. Stewart (2022)\n- [Computational Analysis of Communication](https://cssbook.net/), by Wouter van Atteveldt, Damian Trilling, and Carlos Arcila Calderon (2022)\n- [The SAGE Handbook of Social Media Research Methods](https://uk.sagepub.com/en-gb/eur/the-sage-handbook-of-social-media-research-methods/book272098), edited by Anabel Quan-Haase and Luke Sloan (2022)\n- [Handbook of Computational Social Science Volume 1 \u0026 2](https://www.routledge.com/Handbook-of-Computational-Social-Science---Vol-1--Vol-2/Engel-Quan-Haase-Liu-Lyberg/p/book/9781032111438), edited by Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu, Lars Lyberg (2022)\n- [Research Handbook on Digital Sociology](https://www.e-elgar.com/shop/gbp/research-handbook-on-digital-sociology-9781789906752.html), edited by Jan Skopek (2023)\n- [Handbook of Computational Social Science for Policy](https://link.springer.com/book/10.1007/978-3-031-16624-2), by Eleonora Bertoni, Matteo Fontana, Lorenzo Gabrielli, Serena Signorelli, Michele Vespe (2023)\n- [Computational Thinking for Social Scientists](https://jaeyk.github.io/comp_thinking_social_science/), by Jae Yeon Kim (2023)\n- [Computational Thinking and Social Science](https://uk.sagepub.com/en-gb/eur/computational-thinking-and-social-science/book268542), by Matti Nelimarkka (2023)\n\n## Conferences\n\n\u003e Relevant conferences where the community (or parts thereof) meets\n\n- [BigSurv - Big Data Meets Survey Science](https://bigsurv.github.io/)\n- [CHI - ACM CHI Conference on Human Factors in Computing Systems](https://chi.acm.org/)\n- [Complex Networks - International Conference on Complex Networks and their Applications](https://www.complexnetworks.org/)\n- [COMPTEXT Conference](https://www.comptextconference.org/)\n- [Conference on Complex Systems](https://cssociety.org/events), in particular the Computational Social Science satellite\n- [CSCW - ACM Conference On Computer-Supported Cooperative Work](https://cscw.acm.org/)\n- [EPSA - European Political Science Association Conference](https://epsanet.org/) (Methods division)\n- [IC2S2 - The International Conference for Computational Social Science](http://ic2s2.org)\n- [ICA - Annual International Communication Association Conference](https://www.icahdq.org/) (Methods Division)\n- [ICWSM - International AAAI Conference on Web and Social Media](https://www.icwsm.org/)\n- [NetSci - International Conference on Network Science](https://netscisociety.net/events/netsci/)\n- [SSC - Social Simulation Conference](http://www.essa.eu.org/event-type/conference/)\n- [WebSci - ACM Web Science Conference](https://www.websci25.org/)\n\n[Computational Social Science Events Worldwide](https://calendar.google.com/calendar/u/0/embed?src=19jm0329h91akpv0srml6c24ec@group.calendar.google.com\u0026ctz=Europe/Rome), Public Calendar\n\n\n## Education\n\n\u003e Learning material/courses tailored towards Computational Social\n\u003e Science\n\n\n### Online Courses and Material\n\n\u003e See also the [Software](#software) section for material on software tools\n\n- [CSC2552 Topics in Computational Social Science: AI, Data, and Society](https://www.cs.toronto.edu/~ashton/csc2552) - Seminar course taught by Ashton Anderson at the University of Toronto, Canada. \n- [NLP+CSS 201 Tutorials](https://nlp-css-201-tutorials.github.io/nlp-css-201-tutorials/) - Tutorials for advanced natural language processing methods designed for computational social science research.\n- [SICSS Learning Materials](https://sicss.io/overview) - Open source teaching and learning resources for computational social science\n- [Social and Economic Networks: Models and Analysis](https://www.coursera.org/learn/social-economic-networks) - Online course on social and economic networks taught by Matthew O. Jackson\n- [Toolkit for Digital Methods](https://wiki.helsinki.fi/display/TDM/Toolkit+for+Digital+Methods+Home) - A wiki of resources for digital methods in Social Sciences\n- [UCCSS: University of California Computational Social Science](https://www.youtube.com/playlist?list=PLtjBSCvWCU3rJ_XAqaOr7NoQYWY005WCI) -  Multidisciplinary, multi-perspective, and multi-method guide on how to better understand society and human behavior with modern research tool.\n\n\n### Videos and Lectures\n\n- [A gentle introduction to network science](https://www.youtube.com/watch?v=L6CqqlILBCI), by Renaud Lambiotte, University of Oxford (2018)\n- [Introduction to computational social science](https://youtu.be/EF7X9wwl0q4), by Matthew J. Salganik, Princeton University (2019)\n- [Python for Computational Social Science and Digital Humanities](https://youtu.be/T7qMZH25co0), by Christopher Cameron, Cornell University (2023)\n\n\n### Workshops\n\n- [BIGSSS Computational Social Science Summer Schools](https://www.bigsss-bremen.de/academic-program/summer-school-program/computational-social-science-summer-schools)\n- [Edinburgh Data and Text Analysis Summer School](https://www.cdcs.ed.ac.uk/training/Data-Text-Analysis-Summer-School)\n- [ESSA (European Social Simulation Association) summer school](http://www.essa.eu.org/event-type/summer-school/)\n- [Essex Summer School in Social Science Data Analysis](https://essexsummerschool.com/)\n- [GESIS Fall Seminar in Computational Social Science](https://www.gesis.org/en/gesis-training/what-we-offer/fall-seminar-in-computational-social-science)\n- [Mediterranean School of Complex Networks](https://mediterraneanschoolcomplex.net/index.html)\n- [NLP + CSS](https://sites.google.com/site/nlpandcss/): a series of workshops on natural language processing (NLP) and computational social science (CSS). \n- [The Summer Institutes in Computational Social Science](https://sicss.io/)\n- [Topics in Digital and Computational Demography](https://www.demogr.mpg.de/en/career_6122/international_advanced_studies_in_demography_6682/courses_6931/), PhD level, one week course.\n\n\n### University Course Programs\n\n\u003e Bachelor, Master, PhD programs (alphabetically by country using [ISO 3166-1 alpha 3](https://en.wikipedia.org/wiki/ISO_3166-1) codes)\n\n#### Bachelor programs\n\n- [BA/BSc in Data Science and Society (DSS)](https://undergraduate.ceu.edu/bachelor-degree-data-science-society), Central European University, AUT\n- [BSc Social Sciences with Data Science](https://www.ucl.ac.uk/prospective-students/undergraduate/degrees/social-sciences-data-science-bsc), University College London, GBR\n- [Bachelor of Social Sciences in Data Science and Policy Studies](https://dsps.ssc.cuhk.edu.hk/), Chinese University of Hong Kong, HKG\n- [Bachelor Computational Social Science](https://www.uva.nl/en/programmes/bachelors/computational-social-science/study-programme/study-programme.html), University of Amsterdam, NLD\n- [BS in Social Data Science](https://sdsc.umd.edu/), University of Maryland, USA\n- [BS in Social Data Analytics](https://soda.la.psu.edu/programs/undergraduate/), Pennsylvania State University, USA\n- [BS in Computational Social Science](https://www.dins.pitt.edu/academics/bs-computational-social-science), University of Pittsburgh, USA\n\n#### Master programs\n\n- [Master Computational Social System](https://www.tugraz.at/en/studying-and-teaching/degree-and-certificate-programmes/masters-degree-programmes/computational-social-systems),\n  TU Graz, AUT\n- [Master of Science program in Social Data Science](https://networkdatascience.ceu.edu/msc-social-data-science), Central European University, AUT\n- [Master of Sociology: Quantitative Analysis and Social Data Science specialisation](https://soc.kuleuven.be/fsw/toekomstigestudenten/english/mos/datascience), KU Leuven, BEL \n- [Master in Computational Social Sciences](https://www.unilu.ch/studium/studienangebot/master/kultur-und-sozialwissenschaftliche-fakultaet/lucerne-master-in-computational-social-sciences-lumacss/) at the University of Lucerne, CHE\n- [MSc in Computational Social Science](https://hsspg.cuhk.edu.cn/en/msccss), Chinese University of Hong Kong (Shenzhen), CHN\n- [Master of Data Science for Public Policy](https://www.hertie-school.org/en/mds), Hertie School, DEU\n- [Master Social and Economic Data Science](https://www.polver.uni-konstanz.de/studium/master/master-social-and-economic-data-science/),\nUniversity of Konstanz, DEU\n- [Mannheim Master in Social Data Science](https://www.uni-mannheim.de/en/academics/before-your-studies/programs/mannheim-master-in-social-data-science/), University of Mannheim, DEU\n- [M.Sc. Quantitative Data Science Methods: Psychometrics, Econometrics and Machine Learning](https://uni-tuebingen.de/fakultaeten/wirtschafts-und-sozialwissenschaftliche-fakultaet/faecher/fachbereich-sozialwissenschaften/methodenzentrum/studium/msc-qds/), University of Tübingen, DEU\n- ~~[Master Computational Social Systems](https://www.rwth-aachen.de/cms/root/Studium/Vor-dem-Studium/Studiengaenge/Liste-Aktuelle-Studiengaenge/Studiengangbeschreibung/~sthd/Computational-Social-Systems-M-Sc/)~~ (This course of study is being phased out), RWTH Aachen, DEU\n- [Master of Science (MSc) in Social Data Science](https://studies.ku.dk/masters/social-data-science/), University of Copenhagen, DNK\n- [Master in Computational Social Science](https://www.uc3m.es/master/computational-social-science), Universidad Carlos III de Madrid, ESP\n- [Master of Contemporary Societies](https://www.helsinki.fi/en/degree-programmes/contemporary-societies-masters-programme), track on social data science, University of Helsinki, FIN\n- [MSc\u0026T “Data and Economics for Public Policy”](https://programmes.polytechnique.edu/en/master-all-msct-programs/data-and-economics-for-public-policy), Institut Polytechnique de Paris, FRA\n- [Master in Data Science for Social Sciences](https://www.tse-fr.eu/master-data-science-social-sciences), Toulouse School of Economics, FRA\n- [MSc Applied Social Data Science](https://www.lse.ac.uk/Methodology/Study/MSc-Applied-Social-Data-Science), London School of Economics and Political Science, GBR\n- [MSc Social and Geographic Data Science](https://www.ucl.ac.uk/prospective-students/graduate/taught-degrees/social-and-geographic-data-science-msc), University College London, GBR\n- [MSc Data Science and Public Policy](https://www.ucl.ac.uk/prospective-students/graduate/taught-degrees/data-science-and-public-policy-political-science-msc), University College London, GBR\n- [MSc Human and Social Data Science](https://www.sussex.ac.uk/study/masters/courses/human-and-social-data-science-msc), University of Sussex, GBR\n- [MSc Social Data Science](https://www.exeter.ac.uk/study/postgraduate/courses/politics/socialdatasciencemsc/), University of Exeter, GBR\n- [MSc Social Data Science](https://www.oii.ox.ac.uk/study/msc-in-social-data-science/), University of Oxford, GBR\n- [Masters in Computational Social Science](https://sola.iitj.ac.in/postgraduate-program/), Indian Institute of Technology (IIT) Jodhpur, IND\n- [Master Politics and Data Science](https://www.ucd.ie/connected_politics/studywithus/), University College Dublin, IRE\n- [MSc Social Data Science](https://hub.ucd.ie/usis/!W_HU_MENU.P_PUBLISH?p_tag=PROG\u0026MAJR=W559), University College Dublin, IRE\n- [MSc/PG Diploma Applied Social Data Science](https://www.tcd.ie/Political_Science/programmes/postgraduate/pg-dip-applied-social-data-science/), Trinity College Dublin, IRE\n- [Master Data Science for Economics](https://dse.cdl.unimi.it/en), University of Milan, ITA\n- [Master in Social Data Science](https://sds.sociologia.unimib.it/), University of Milano-Bicocca, ITA\n- [Master in Social Sciences for a Digital Society](https://vu.nl/en/education/master/social-sciences-for-a-digital-society), Vrije Universiteit Amsterdam, NLD\n- [Master's Programme Computational Social Science](https://liu.se/en/education/program/f7mcd), Linköping University, SWE\n- [Master Computational Social Science](https://gsssh.ku.edu.tr/en/departments/computational-social-sciences/),\nKoç University, TUR\n- [Master of Computational Social Science (MaCSS)](https://macss.berkeley.edu/), University of California Berkeley, USA\n- [M.S. in Computational Social Science](https://css.ucsd.edu/masters/index.html), University of California San Diego, USA\n- [M.A. in Computational Social Science](https://macss.uchicago.edu/), University of Chicago, USA\n- [M.S. in Computational Analysis \u0026 Public Policy](https://capp.uchicago.edu/), University of Chicago, USA\n- [Master of Science in Data Analytics \u0026 Computational Social Science](https://www.umass.edu/social-sciences/academics/data-analytics-computational-social-science/ms-dacss), University of Massachusetts Amherst, USA\n- [Master of Arts in Interdisciplinary Studies: Computational Social Science Concentration](https://mais.gmu.edu/programs/la-mais-isin-css), George Mason University, USA\n- [Master of Science in Data Science for Public Policy](https://mccourt.georgetown.edu/master-of-science-in-data-science-for-public-policy/), Georgetown University, USA\n- [MA in Quantitative Methods in the Social Sciences: Data Science Focus](https://www.qmss.columbia.edu/), Columbia University, USA\n- [Master of Science in Public Policy and Data Science](https://priceschool.usc.edu/mppds/), University of Southern California, USA\n- [Master of Science in Survey and Data Science](https://surveydatascience.isr.umich.edu/survey-and-data-science-masters-degree-program), University of Michigan, USA\n- [Master of Science in Social Policy + Data Analytics for Social Policy Certificate](https://www.sp2.upenn.edu/program/master-of-science-in-social-policy-data-analytics-for-social-policy-certificate/), University of Pennsylvania, USA\n\n#### PhD programs\n\n- [PhD in Computational Social Science](https://hsspg.cuhk.edu.cn/en/mphilphdcss), Chinese University of Hong Kong (Shenzhen), CHN\n- [DPhil Social Data Science](https://www.oii.ox.ac.uk/study/dphil-in-social-data-science/), University of Oxford, GBR\n- [PhD Quantitative and Computational Social Science](https://www.ucd.ie/spire/study/prospectivephdstudents/phdquantitativeandcomputationalsocialscience/), University College Dublin, IRE\n- [PhD in Information](https://www.si.umich.edu/programs/phd-information), University of Michigan, Ann Arbor, USA\n- [Complex Networks and Systems track of the PhD in Informatics](https://informatics.indiana.edu/programs/phd-informatics/complex-networks-and-systems.html), Indiana University, Bloomington, USA\n- [Network Science PhD Program](https://www.networkscienceinstitute.org/phd), Northeastern University, Boston, USA\n- [PhD in Information Science](https://www.colorado.edu/cmci/infoscience/phd#admissions_requirements-2457), University of Colorado, Boulder, USA\n- [PhD Program in Social \u0026 Engineering Systems (SES)](https://idss.mit.edu/academics/ses_doc/),  Massachusetts Institute of Technology, Cambridge, USA\n- [PhD in Information Sciences](https://ischool.illinois.edu/degrees-programs/graduate/phd-information-sciences),  University of Illinois, Champaign, USA\n- [Doctor of Philosophy in Information Studies (PhD)](https://ischool.umd.edu/academics/phd-information-studies/), University of Maryland, College Park, USA\n- [Ph.D. in Information Science](https://www.ischool.berkeley.edu/programs/phd), University of California, Berkeley, USA\n- [Doctoral Program in Communication](https://communication.ucdavis.edu/doctoral-program), University of California, Davis, USA\n- [Ph.D. Specialization in Computational Social Science](https://css.ucsd.edu/phd-specialization/index.html), University of California, San Diego, USA\n- [Ph.D. in Information and Media](https://comartsci.msu.edu/academics/academic-departments/default/graduate/phd-information-and-media), Michigan State University, East Lansing, USA\n- [Ph.D. in Information Technology Management](https://broad.msu.edu/phd/information-technology-management/), Michigan State University, East Lansing, USA\n- [PhD in Media, Technology, and Society (MTS)](https://mts.northwestern.edu/), Northwestern University, Evanston, USA\n- [Dual Ph.D. Program in Computer Science and Communication: Technology and Social Behavior (TSB)](https://tsb.northwestern.edu/), Northwestern University, Evanston, USA\n- [PhD Program at the Kellogg School of Management](https://www.kellogg.northwestern.edu/doctoral.aspx), Northwestern University, Evanston, USA\n- [PhD in Computational Social Science](https://science.gmu.edu/academics/departments-units/computational-data-sciences/computational-social-science-phd), George Mason University, Fairfax, USA\n- [Ph.D. in Communication and Information Sciences](https://www.ics.hawaii.edu/academics/graduate-programs/ph-d-in-cis/), University of Hawaii at Manoa, Honolulu, USA\n- [Information Science Ph.D. program](https://infosci.cornell.edu/phd), Cornell University, Ithaca, USA\n- [Doctoral Program in Industrial \u0026 Systems Engineering (ISE)](https://viterbigradadmission.usc.edu/doctoral/phddegrees/phd-industrial-systems-engineering/), University of Southern California, Los Angeles, USA\n- [Communication (PhD)](https://annenberg.usc.edu/academics/communication-phd), University of Southern California, Los Angeles, USA\n- [Ph.D. Program in Communication, Information, and Media](https://comminfo.rutgers.edu/graduate-programs/phd-program), Rutgers University, New Brunswick, USA\n- [Ph.D. Specialization in Data Science](https://datascience.columbia.edu/education/programs/ph-d-with-a-specialization-in-data-science/), Columbia University, New York, USA\n- [Doctorate in Communication](https://www.asc.upenn.edu/graduate), University of Pennsylvania, Philadelphia, USA\n- [PhD in Societal Computing](https://sc.cs.cmu.edu/program/index.html), Carnegie Mellon University, Pittsburgh, USA\n- [Doctorate in Informaiton Science](https://ischool.uw.edu/programs/phd), University of Washington, Seattle, USA\n- [PhD degree in Management Science and Engineering (MS\u0026E)](https://iriss.stanford.edu/research-centers/computational-social-science), Stanford University, USA\n- [PhD in Information](https://ischool.arizona.edu/phd-information), University of Arizona, Tucson, USA\n\n## Research Groups\n\n\u003e Ordered alphabetically by country and city (using [ISO 3166-1 alpha 3](https://en.wikipedia.org/wiki/ISO_3166-1) country codes)\n\n- [Data Science and AI Lab](https://nyuad.nyu.edu/en/research/faculty-labs-and-projects/data-science-and-ai-lab.html), Abu Dhabi, ARE\n- [Digital Humanities Lab at UFBA](https://www.labhd.ufba.br/), Salvador, BRA\n- [Computational Social Science Lab](http://csslab.cs.toronto.edu/), University of Toronto, Toronto, CAN\n- [Professorship of Computational Social Science (COSS)](https://coss.ethz.ch), ETH Zürich, CHE \n- [Social Networks Lab](https://sn.ethz.ch/), Zürich, CHE\n- [Institute of Computational Social Science](https://hss.cuhk.edu.cn/en/page/1006), CUHK-Shenzhen, CHN\n- [CSS Lab RWTH Aachen](https://www.css-lab.rwth-aachen.de/), Aachen, DEU\n- [Data Science Lab, Hertie School](https://www.hertie-school.org/en/datasciencelab), Berlin, DEU\n- [CSS Department at GESIS](https://www.gesis.org/en/institute/departments/computational-social-science), Cologne, DEU\n- [Chair of Data Science in the Economic and Social Sciences](https://www.bwl.uni-mannheim.de/en/information-systems/chairs/prof-dr-strohmaier/), Mannheim, DEU\n- [Computational Social Science and Big Data TUM Munich](https://www.hfp.tum.de/css/startseite/), Munich, DEU\n- [Department of Digital and Computational Demography](https://www.demogr.mpg.de/en/research_6120/digital_and_computational_demography_zagheni_11666/), Rostock, DEU\n- [Social Foundations of Computation - Max Planck Institute for Intelligent Systems](https://sf.is.mpg.de/sf), Tübingen, DEU\n- [Copenhagen Center for Social Data Science (SODAS)](https://sodas.ku.dk), Copenhagen, DNK\n- [NEtwoRks, Data, and Society (NERDS)](https://nerds.itu.dk/), Copenhagen, DNK\n- [Computational Social Science Group](https://css.cs.ut.ee/index.html), Tartu, EST\n- [Institute for Cross-Disciplinary Physics and Complex Systems (IFISC)](https://ifisc.uib-csic.es/en/research/dynamics-and-collective-phenomena-social-systems/), Palma, ESP\n- [Centre for Social Data Science](https://www.helsinki.fi/en/networks/centre-social-data-science), Helsinki, FIN\n- [Social Data Science Lab at Cardiff University](http://socialdatalab.net/), Cardiff, GBR\n- [Centre for Data, Culture \u0026 Society](https://www.cdcs.ed.ac.uk/), Edinburgh, GBR\n- [Oxford Internet Institute](https://www.oii.ox.ac.uk/about/), Oxford, GBR\n- [Machine Learning and Economics Group](https://maxkasy.github.io/home/ML_Econ_Oxford/), Oxford, GBR\n- [Social Data Institute](https://www.ucl.ac.uk/social-data/home/social-data-institute), University College London, GBR\n- [Web Mining Lab](http://weblab.com.cityu.edu.hk/blog/), City University of Hong Kong, Hong Kong, HKG\n- [Computational Social Sciences and Law Lab](https://www.cityu.edu.hk/cpal/lab_cssl.htm), City University of Hong Kong, Hong Kong, HKG\n- [RC2S2 Research Center for Computational Social Science](https://rc2s2.elte.hu/en/home/), Eötvös Loránd University, Budapest, HUN\n- [Connected_Politics Lab](https://www.ucd.ie/connected_politics/), Dublin, IRL\n- [Computational Social Science Centre (CSSC)](https://centri.unibo.it/computational-social-science), Bologna, ITA\n- [Behave Lab](https://behavelab.org/), Milan, ITA\n- [Center of Data Science and Complexity for Society (CDCS)](https://cdcs.di.uniroma1.it/index.php), Sapienza University, Rome, ITA\n- [Center for Computational Social Science and Human Dynamics (C2S2)](https://c2s2.unitn.it), University of Trento and Bruno Kessler Foundation, Trento, ITA\n- [Mobile and Social Computing Lab (MobS Lab)](https://ict.fbk.eu/units/mobs/), Bruno Kessler Foundation, Trento, ITA\n- [CENTAI Institute](https://centai.eu), Turin, ITA\n- [Center for Computational Social Science](http://ccss.kobe-u.ac.jp/en/index.html), Kobe University, Kobe, JPN\n- [Computational Social Science Lab](https://www.colorlessgreen.info/), Tokyo Institute of Technology, Tokyo, JPN\n- [Computational Communication Science Amsterdam](https://ccs.amsterdam), NLD\n- [Social and Behavioural Data Science Centre](https://sobedsc.uva.nl/), Amsterdam, NLD\n- [ODISSEI (Open Data Infrastructure for Social Science and Economic Innovations)](https://odissei-data.nl/en/), Rotterdam, NLD\n- [Political Data Science (PODS) Research Group](https://www.sv.uio.no/isv/english/research/groups/political-data-science/), Oslo, NOR\n- [UU-InfoLab (Uppsala University Information Laboratory)](https://uuinfolab.github.io/), Uppsala, SWE\n- [Center for Computational Social Sciences](https://ccss.ku.edu.tr/), Koç University, Istanbul, TUR\n- [Viral Lab (VRLLab)](https://varollab.com/), Sabanci University, Istanbul, TUR\n- [Communication Data and Network Analytics Lab](https://cdna.survey.sinica.edu.tw/), Academia Sinica, Taipei, TWN\n- [Observatory on Social Media](https://osome.iu.edu/), Indiana University, Bloomington, USA\n- [Center for Complex Networks and Systems Research](https://cnets.indiana.edu/), Indiana University, Bloomington, USA\n- [Soda (Social Data and AI) Lab](https://soda-labo.github.io/), Indiana University, Bloomington, USA\n- [Lazerlab](https://lazerlab.net/), Northeastern University, Boston, USA\n- [Laboratory for the Modeling of Biological and Socio-Technical Systems (MOBS Lab)](https://www.mobs-lab.org/), Northeastern University, Boston, USA\n- [Network Science Institute (NetSI)](https://www.networkscienceinstitute.org/), Northeastern University, Boston, USA\n- [Al-Adala Lab](https://www.theadalab.com/home), University of Colorado, Boulder, USA\n- [Colorado Laboratory for Users, Media, and Networks (COLUMN)](https://columnlab.github.io/), University of Colorado, Boulder, USA\n- [MIT Institute for Data, Systems, and Society (IDSS)](https://idss.mit.edu/),  Massachusetts Institute of Technology, Cambridge, USA\n- [Center for Spatial Data Science (CSDS)](https://spatial.uchicago.edu/), University of Chicago, Chicago, USA\n- [Knowledge Lab](https://www.knowledgelab.org/), University of Chicago, Chicago, USA\n- [Social Data Science Center (SoDa)](https://socialdatascience.umd.edu/), University of Maryland, College Park, USA\n- [MESO (Modeling Emergent Social Order) Lab]( https://www.mesoorderlab.com/), Ohio State University, Columbus, USA\n- [Computational Communication Research Lab (C^2 or C-square)](https://c2.ucdavis.edu/), University of California, Davis, USA\n- [Quello Center](https://quello.msu.edu/), Michigan State University, East Lansing, USA\n- [Computational Journalism Lab](https://cj-lab.org/), Northwestern University, Evanston, USA\n- [Delta Lab](https://delta.northwestern.edu/), Northwestern University, Evanston, USA\n- [Lab on Innovation, Networks, and Knowledge (LINK)](https://link.soc.northwestern.edu/), Northwestern University, Evanston, USA\n- [People, Space, and Algorithms (PSA) Research Group](https://www.psagroup.org/), Northwestern University, Evanston, USA\n- [Science of Networks in Communities (SONIC) Lab](https://sonic.northwestern.edu/), Northwestern University, Evanston, USA\n- [Center for AI in Society(CAIS)](https://cais.usc.edu/), University of Southern California, Los Angeles, USA\n- [HUmans | MAchines | Networks | Society Lab (HUMANS)](http://www.emilio.ferrara.name/), University of Southern California, Los Angeles, USA\n- [Computational Social Science Institute at UMass](https://www.cssi.umass.edu), Massachusetts Amherst, USA\n- [Computational Social Science Lab](https://csslab.rutgers.edu/), Rutgers University, New Brunswick, USA\n- [Working Group on Computational Social Science](https://datascience.columbia.edu/research/groups/computational-social-science/), Columbia University, New York, USA\n- [Center for Social Media and Politics (CSMaP)](https://csmapnyu.org/), New York Univiersity, New York, USA\n- [Center for Information Networks and Democracy(CIND)](https://www.asc.upenn.edu/research/centers/center-for-information-networks-and-democracy), University of Pennsylvania, Philadelphia, USA\n- [Computational Social Science Lab (CSSLab)](https://css.seas.upenn.edu/), University of Pennsylvania, Philadelphia, USA\n- [Network Dynamics Group](https://ndg.asc.upenn.edu/), University of Pennsylvania, Philadelphia, USA\n- [Center for Computational Analysis of Social and Organizational Systems (CASOS)](http://www.casos.cs.cmu.edu/index.php), Carnegie Mellon University, Pittsburgh, USA\n- [PITT Initiative on Computational Social Science](https://pittcss.github.io/),  University of Pittsburgh, Pittsburgh, USA\n- [Santa Fe Institute (SFI)](https://www.santafe.edu/), Santa Fe, USA\n- [Community Data Science Collective](https://wiki.communitydata.science/Main_Page), University of Washington, Seattle, USA\n- [IRiSS Center for Computational Social Science](https://iriss.stanford.edu/research-centers/computational-social-science), Stanford University, USA\n- [Center for Social Data Analytics (C-SoDA)](https://soda.la.psu.edu/), Pennsylvania State University, University Park, USA\n- [Computational Social Science Lab](https://www.cla.purdue.edu/academic/polsci/research/labs/computational-social-science-lab/index.html), Purdue University, West Lafayette, USA\n\n\n## Journals\n\n\u003e Ordered alphabetically\n\n- [Big Data \u0026 Society](https://journals.sagepub.com/home/bds)\n- [Computational Communication Research](https://computationalcommunication.org/ccr)\n- [Computational Economics](https://www.springer.com/journal/10614)\n- [EPJ Data Science](https://epjdatascience.springeropen.com/)\n- [Frontiers in Big Data](https://www.frontiersin.org/journals/big-data)\n- [Information, Communication \u0026 Society](https://www.tandfonline.com/journals/rics20)\n- [Journal of Artificial Societies and Social Simulation](https://www.jasss.org/JASSS.html)\n- [Journal of Computational Social Science](https://www.springer.com/journal/42001)\n- [Journal of Quantitative Description: Digital Media](https://journalqd.org)\n- [Journal of Social Computing](https://www.sciopen.com/journal/2688-5255)\n- [Nature Human Behavior](https://www.nature.com/nathumbehav/)\n- [New Media \u0026 Society](https://journals.sagepub.com/home/nms)\n- [Social Media and Society](https://journals.sagepub.com/home/sms)\n- [Social Science Computer Review](https://journals.sagepub.com/home/ssc)\n\n\n## Selected Papers\n\n\u003e Important papers for/about the field, not specific research. Ordered chronologically.\n\n- [From Factors to Actors: Computational Sociology and Agent-Based Modeling](https://doi.org/10.1146/annurev.soc.28.110601.141117) by Michael W. Macy and Robert Willer (2002)\n- [Life in the network: the coming age of computational social science](https://doi.org/10.1126%2Fscience.1167742) by David Lazer et al. (2009)\n- [Critical Questions for Big Data](https://doi.org/10.1080/1369118X.2012.678878) by Dana Boyd and Kate Crawford (2012)\n- [A 61-million-person experiment in social influence and political mobilization](https://doi.org/10.1038/nature11421) by Robert M. Bond et al. (2012)\n- [Manifesto of computational social science](https://doi.org/10.1140/epjst/e2012-01697-8) by R. Conte, N. Gilbert, G. Bonelli, C. Cioffi-Revilla, G. Deffuant, J. Kertesz, V. Loreto, S. Moat, J. -P. Nadal, A. Sanchez, A. Nowak, A. Flache, M. San Miguel \u0026 D. Helbing (2012)\n- [Digital Footprints: Opportunities and Challenges for Online Social Research](https://doi.org/10.1146/annurev-soc-071913-043145) by Scott A. Golder and Michael W. Macy (2014)\n- [Social media for large studies of\n  behavior](https://doi.org/10.1126/science.346.6213.1063) by Derek Ruths and Jürgen Pfeffer (2014)\n- [Sociology in the Era of Big Data: The Ascent of Forensic Social Science](https://doi.org/10.1007/s12108-015-9291-8) by Daniel A. McFarland, Kevin Lewis \u0026 Amir Goldberg (2016)\n- [Installing computational social science: Facing the challenges of new information and communication technologies in social science](http://journals.sagepub.com/doi/10.1177/2059799115622763) by Raphael H. Heiberger \u0026 Jan R. Riebling (2016)\n- [Computational Social Science Methodology, Anyone?](https://doi.org/10.1027/1614-2241/a000127) by Joop J. Hox (2017)\n- [The empiricist’s challenge: Asking meaningful questions in political science in the age of big data](https://doi.org/10.1080/19331681.2017.1312187) by Andreas Jungherr and Yannis Theocharis (2017)\n- [Computational Social Science ≠ Computer Science + Social Data](https://dl.acm.org/doi/10.1145/3132698) by Hanna Wallach (2018)\n- [When Communication Meets Computation: Opportunities, Challenges, and Pitfalls in Computational Communication Science](https://doi.org/10.1080/19312458.2018.1458084) by Wouter van Atteveldt and Tai-Quan Peng (2018)\n- [Analytical sociology and computational social science](https://doi.org/10.1007/s42001-017-0006-5) by Keuschnigg, M., Lovsjö, N. \u0026 Hedström, P. (2018)\n- [Computation and the Sociological Imagination](https://doi.org/10.1177/1536504219883850) by James Evans and Jacob G. Foster (2019)\n- [Machine Learning for Sociology](https://doi.org/10.1146/annurev-soc-073117-041106) by Mario Molina and Filiz Garip (2019)\n- [Social data: Biases, methodological pitfalls, and ethical boundaries](https://www.frontiersin.org/articles/10.3389/fdata.2019.00013/full) by Alexandra Olteanu, Carlos Castillo, Fernando Diaz and Emre Kıcıman (2019)\n- [Computational social science: Obstacles and opportunities](https://www.science.org/doi/abs/10.1126/science.aaz8170) by David Lazer et al. (2020) ([open access version](https://dspace.mit.edu/bitstream/handle/1721.1/130299/Computational%20social%20science-%20Obstacles%20and%20opportunities.pdf?sequence=1))\n- [Computational Social Science and the Study of Political Communication](https://doi.org/10.1080/10584609.2020.1833121) by Yannis Theocharis and Andreas Jungherr (2020)\n- [Computational Social Science and Sociology](https://doi.org/10.1146/annurev-soc-121919-054621) by Achim Edelmann, Tom Wolff, Danielle Montagne and Christopher A. Bail (2020)\n- [Machine Learning for Social Science: An Agnostic Approach](https://doi.org/10.1146/annurev-polisci-053119-015921) by Justin Grimmer, Margaret E. Roberts, and Brandon M. Stewart (2021)\n- [Measuring algorithmically infused societies](https://doi.org/10.1038/s41586-021-03666-1) by Claudia Wagner, Markus Strohmaier, Alexandra Olteanu, Emre Kıcıman, Noshir Contractor \u0026 Tina Eliassi-Rad (2021)\n- [The data revolution in social science needs qualitative research](https://doi.org/10.1038/s41562-022-01333-7) by Nikolitsa Grigoropoulou \u0026 Mario L. Small (2022)\n\n\n## Software\n\n\u003e Focus on accessible introduction into computational tools, preferably open\n\u003e source material\n\n\n### R\n\n- [Awesome R](https://github.com/qinwf/awesome-R) for general resources in R\n\n\n### Python\n\n- [Awesome Python](https://github.com/vinta/awesome-python) (other lists: [1](https://github.com/kirang89/pycrumbs), [2](https://github.com/svaksha/pythonidae), [3](https://github.com/trekhleb/learn-python)) for general resources in Python\n\n\n### Tutorials\n\n- [APIs for Social Scientists](https://bookdown.org/paul/apis_for_social_scientists/)\n- [Introduction to Computational Social Science in R](https://bookdown.org/markhoff/css/)\n- [Introduction to Computational Social Science Methods with Python](https://github.com/gesiscss/css_methods_python)\n- [Quanteda Tutorials for Quantitative Text Analysis in R](https://tutorials.quanteda.io)\n- [R Course Material for Communication Science](https://github.com/ccs-amsterdam/r-course-material)\n\n\n## Miscellaneous\n\n\u003e Resources that do not fit into other categories\n\n- [Google Group Computational Social Science Network](https://groups.google.com/g/CSSNET)\n- [Podcast about Computational Communication Science](https://anchor.fm/ccs-pod)\n- [RatSWD publication \"Big data in social, behavioural, and economic sciences: Data access and research data management (Including an expert opinion on \"Web scraping in independent academic research\")\"](https://www.konsortswd.de/en/latest/publication/big-data-in-social-behavioural-and-economic-sciences-data-access-and-research-data-management/)\n- [reddit community \"CompSocial\"](https://www.reddit.com/r/CompSocial/)\n\n\n## Relevant Awesome Lists\n\n- [Awesome Causality](https://github.com/napsternxg/awesome-causality)\n- [Awesome Community Detection](https://github.com/benedekrozemberczki/awesome-community-detection)\n- [Awesome Data Science with Python](https://github.com/r0f1/datascience) ([another](https://github.com/krzjoa/awesome-python-data-science))\n- [Awesome Data Science](https://github.com/academic/awesome-datascience)\n- [Awesome Data Visualization](https://github.com/javierluraschi/awesome-dataviz)\n- [Awesome Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning)\n- [Awesome Digital Humanities](https://github.com/dh-tech/awesome-digital-humanities)\n- [Awesome Jupyter](https://github.com/markusschanta/awesome-jupyter)\n- [Awesome Machine Learning](https://github.com/josephmisiti/awesome-machine-learning)\n- [Awesome MySQL](https://github.com/shlomi-noach/awesome-mysql)\n- [Awesome Network Analysis](https://github.com/briatte/awesome-network-analysis)\n- [Awesome NLP](https://github.com/keon/awesome-nlp) ([another one](https://github.com/edobashira/speech-language-processing))\n- [Awesome Notebooks](https://github.com/jupyter-naas/awesome-notebooks)\n- [Awesome Open Science](https://github.com/silky/awesome-open-science)\n- [Awesome Python](https://github.com/vinta/awesome-python) (other lists: [1](https://github.com/kirang89/pycrumbs), [2](https://github.com/svaksha/pythonidae), [3](https://github.com/trekhleb/learn-python))\n- [Awesome Quarto](https://github.com/mcanouil/awesome-quarto)\n- [Awesome R](https://github.com/qinwf/awesome-R)\n- [Awesome Research Software Registries](https://github.com/NLeSC/awesome-research-software-registries)\n- [Awesome Scholarly Data Analysis](https://github.com/napsternxg/awesome-scholarly-data-analysis)\n\n\n-----\n\n\n## Contributing\n\nContributions welcome! Read the [contribution guidelines](contributing.md) first.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgesiscss%2Fawesome-computational-social-science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgesiscss%2Fawesome-computational-social-science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgesiscss%2Fawesome-computational-social-science/lists"}