Awesome Computational Social Science
A list of awesome resources for Computational Social Science
Growing Artificial Societies: Social Science from the Bottom Up, by Joshua M. Epstein and Robert L. Axtell (1996)
Six Degrees: The Science of a Connected Age, by Duncan J. Watts (2004)
Networks, Crowds, and Markets: Reasoning About a Highly Connected World, by David Easley and Jon Kleinberg (2010)
Everything is Obvious, by Duncan J. Watts (2011)
Agent_Zero: Toward Neurocognitive Foundations for Generative Social Science, by Joshua M. Epstein (2014)
Social Phenomena: From Data Analysis to Models, edited by Bruno Gonçalves, Nicola Perra (2015)
Computational Social Sciences, Springer book series (2015-2023)
Big Data Is Not a Monolith, edited by Cassidy R. Sugimoto, Hamid R. Ekbia, and Michael Mattioli (2016)
Bit By Bit: Social Research in the Digital Age, by Matthew J. Salganik (2017)
Decoding the Social World: Data Science and the Unintended Consequences of Communication, by Sandra González-Bailón (2017)
Digital Sociology: The Reinvention of Social Research, by Noortje Marres (2017)
How Behavior Spreads: The Science of Complex Contagions, by Damon Centola (2018)
The Model Thinker: What You Need to Know to Make Data Work for You, by Scott E. Page (2018)
What is Digital Sociology?, by Neil Selwyn (2019)
The Oxford Handbook of Networked Communication, edited by Brooke Foucault Welles and Sandra González-Bailón (2020)
Research Exposed: How Empirical Social Science Gets Done in the Digital Age, edited by Eszter Hargittai (2020)
Retooling Politics: How Digital Media Are Shaping Democracy, by Andreas Jungherr, Gonzalo Rivero, and Daniel Gayo-Avello (2020)
Sociologia Digital: uma breve introdução, by Leonardo Nascimento (2020)
A First Course in Network Science, by Filippo Menczer, Santo Fortunato, Clayton A. Davis (2020)
How Humans Judge Machines, by Cesar A. Hidalgo, Diana Orghian, Jordi Albo Canals, Filipa De Almeida, Natalia Martin (2021)
The Science of Science, by Dashun Wang and Albert-László Barabási (2021)
Doing Computational Social Science - A Practical Introduction, by John McLevey (2021)
Big Data and Social Science: Data Science Methods and Tools for Research and Practice, 2nd Edition, by Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter and Julia Lane (2021)
Text as Data: A New Framework for Machine Learning and the Social Sciences,, by Justin Grimmer, Margaret E. Roberts, and Brandon M. Stewart (2022)
Computational Analysis of Communication, by Wouter van Atteveldt, Damian Trilling, and Carlos Arcila Calderon (2022)
The SAGE Handbook of Social Media Research Methods, edited by Anabel Quan-Haase and Luke Sloan (2022)
Handbook of Computational Social Science Volume 1 & 2, edited by Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu, Lars Lyberg (2022)
Research Handbook on Digital Sociology, edited by Jan Skopek (2023)
Handbook of Computational Social Science for Policy, by Eleonora Bertoni, Matteo Fontana, Lorenzo Gabrielli, Serena Signorelli, Michele Vespe (2023)
Computational Thinking for Social Scientists, by Jae Yeon Kim (2023)
Computational Thinking and Social Science, by Matti Nelimarkka (2023)
BigSurv - Big Data Meets Survey ScienceCHI - ACM CHI Conference on Human Factors in Computing SystemsComplex Networks - International Conference on Complex Networks and their ApplicationsCOMPTEXT ConferenceConference on Complex Systems, in particular the Computational Social Science satellite
CSCW - ACM Conference On Computer-Supported Cooperative WorkEPSA - European Political Science Association Conference(Methods division)
IC2S2 - The International Conference for Computational Social ScienceICA - Annual International Communication Association Conference(Methods Division)
ICWSM - International AAAI Conference on Web and Social MediaNetSci - International Conference on Network ScienceSSC - Social Simulation ConferenceWebSci - ACM Web Science ConferenceComputational Social Science Events Worldwide, Public Calendar
CSC2552 Topics in Computational Social Science: AI, Data, and SocietySeminar course taught by Ashton Anderson at the University of Toronto, Canada.
Course on Introduction to Computational Social ScienceMaster level course materials by Aliakbar Akbaritabar at the University of Rostock
Course on Computational approaches to migration researchMaster level course materials by Aliakbar Akbaritabar at the University of Rostock
NLP+CSS 201 TutorialsTutorials for advanced natural language processing methods designed for computational social science research.
SICSS Learning MaterialsOpen source teaching and learning resources for computational social science
Social and Economic Networks: Models and AnalysisOnline course on social and economic networks taught by Matthew O. Jackson
Toolkit for Digital MethodsA wiki of resources for digital methods in Social Sciences
UCCSS: University of California Computational Social ScienceMultidisciplinary, multi-perspective, and multi-method guide on how to better understand society and human behavior…
A gentle introduction to network science, by Renaud Lambiotte, University of Oxford (2018)
Introduction to computational social science, by Matthew J. Salganik, Princeton University (2019)
Python for Computational Social Science and Digital Humanities, by Christopher Cameron, Cornell University (2023)
BIGSSS Computational Social Science Summer SchoolsEdinburgh Data and Text Analysis Summer SchoolESSA (European Social Simulation Association) summer schoolEssex Summer School in Social Science Data AnalysisGESIS Fall Seminar in Computational Social ScienceMediterranean School of Complex NetworksNLP + CSSa series of workshops on natural language processing (NLP) and computational social science (CSS).
The Summer Institutes in Computational Social ScienceTopics in Digital and Computational Demography, PhD level, one week course.
BA/BSc in Data Science and Society (DSS), Central European University, AUT
BA Data Science and Economics, University of Manchester, GBR
BSc Social Sciences with Data Science, University College London, GBR
Bachelor of Social Sciences in Data Science and Policy Studies, Chinese University of Hong Kong, HKG
Bachelor of Social Sciences in Social Data Science, Lingnan University, HKG
BSc in Computational Social Science, University College Dublin, IRE
Bachelor Computational Social Science, University of Amsterdam, NLD
BS in Social Data Science, University of Maryland, USA
BS in Social Data Analytics, Pennsylvania State University, USA
BS in Computational Social Science, University of Pittsburgh, USA
Master Computational Social System, TU Graz, AUT
Master of Science program in Social Data Science, Central European University, AUT
Master of Sociology: Quantitative Analysis and Social Data Science specialisation, KU Leuven, BEL
Master in Computational Social Sciencesat the University of Lucerne, CHE
MSc in Computational Social Science, Chinese University of Hong Kong (Shenzhen), CHN
Master of Data Science for Public Policy, Hertie School, DEU
Master Social and Economic Data Science, University of Konstanz, DEU
Mannheim Master in Social Data Science, University of Mannheim, DEU
M.Sc. Quantitative Data Science Methods: Psychometrics, Econometrics and Machine Learning, University of Tübingen, DEU
Master Computational Social Systems(This course of study is being phased out), RWTH Aachen, DEU
Master of Science (MSc) in Social Data Science, University of Copenhagen, DNK
Master in Computational Social Science, Universidad Carlos III de Madrid, ESP
Master of Contemporary Societies, track on social data science, University of Helsinki, FIN
MSc&T “Data and Economics for Public Policy”, Institut Polytechnique de Paris, FRA
Master in Data Science for Social Sciences, Toulouse School of Economics, FRA
MSc Applied Social Data Science, London School of Economics and Political Science, GBR
MSc Data Analytics and Social Statistics (Online), University of Manchester, GBR
MSc Data Science and Public Policy, University College London, GBR
MSc Human and Social Data Science, University of Sussex, GBR
MSc Social and Geographic Data Science, University College London, GBR
MSc Social Data Science, University of Exeter, GBR
MSc Social Data Science, University of Oxford, GBR
MSc Social Research Methods and Statistics with Computational Social Science, University of Manchester, GBR
MSc in Social Data Science, Corvinus University of Budapest, HUN
Masters in Computational Social Science, Indian Institute of Technology (IIT) Jodhpur, IND
MSc Politics and Data Science, University College Dublin, IRE
MSc Social Data Science, University College Dublin, IRE
MSc/PG Diploma Applied Social Data Science, Trinity College Dublin, IRE
Master programme Data Science for Economics and Health, University of Milan, ITA
Master in Social Data Science, University of Milano-Bicocca, ITA
Master in Social Sciences for a Digital Society, Vrije Universiteit Amsterdam, NLD
Master's Programme Computational Social Science, Linköping University, SWE
Master Computational Social Science, Koç University, TUR
Master of Management Science and Engineering, Stanford University, USA
Master of Computational Social Science (MaCSS), University of California Berkeley, USA
M.S. in Computational Social Science, University of California San Diego, USA
M.A. in Computational Social Science, University of Chicago, USA
M.S. in Computational Analysis & Public Policy, University of Chicago, USA
Master of Science in Data Analytics & Computational Social Science, University of Massachusetts Amherst, USA
Master of Arts in Interdisciplinary Studies: Computational Social Science Concentration, George Mason University, USA
Master of Science in Data Science for Public Policy, Georgetown University, USA
MA in Quantitative Methods in the Social Sciences: Data Science Focus, Columbia University, USA
Master of Science in Public Policy and Data Science, University of Southern California, USA
Master of Science in Survey and Data Science, University of Michigan, USA
Master of Science in Social Policy + Data Analytics for Social Policy Certificate, University of Pennsylvania, USA
PhD in Computational Social Science, Chinese University of Hong Kong (Shenzhen), CHN
DPhil Social Data Science, University of Oxford, GBR
PhD Quantitative and Computational Social Science, University College Dublin, IRE
PhD in Information, University of Michigan, Ann Arbor, USA
Complex Networks and Systems track of the PhD in Informatics, Indiana University, Bloomington, USA
Network Science PhD Program, Northeastern University, Boston, USA
PhD in Information Science, University of Colorado, Boulder, USA
PhD Program in Social & Engineering Systems (SES), Massachusetts Institute of Technology, Cambridge, USA
PhD in Information Sciences, University of Illinois, Champaign, USA
Doctor of Philosophy in Information Studies (PhD), University of Maryland, College Park, USA
Ph.D. in Information Science, University of California, Berkeley, USA
Doctoral Program in Communication, University of California, Davis, USA
Ph.D. Specialization in Computational Social Science, University of California, San Diego, USA
Ph.D. in Information and Media, Michigan State University, East Lansing, USA
Ph.D. in Information Technology Management, Michigan State University, East Lansing, USA
PhD in Media, Technology, and Society (MTS), Northwestern University, Evanston, USA
Dual Ph.D. Program in Computer Science and Communication: Technology and Social Behavior (TSB), Northwestern University, Evanston, USA
PhD Program at the Kellogg School of Management, Northwestern University, Evanston, USA
PhD in Computational Social Science, George Mason University, Fairfax, USA
Ph.D. in Communication and Information Sciences, University of Hawaii at Manoa, Honolulu, USA
Information Science Ph.D. program, Cornell University, Ithaca, USA
Doctoral Program in Industrial & Systems Engineering (ISE), University of Southern California, Los Angeles, USA
Communication (PhD), University of Southern California, Los Angeles, USA
Ph.D. Program in Communication, Information, and Media, Rutgers University, New Brunswick, USA
Ph.D. Specialization in Data Science, Columbia University, New York, USA
Doctorate in Communication, University of Pennsylvania, Philadelphia, USA
PhD in Societal Computing, Carnegie Mellon University, Pittsburgh, USA
Doctorate in Informaiton Science, University of Washington, Seattle, USA
PhD degree in Management Science and Engineering (MS&E), Stanford University, USA
PhD in Information, University of Arizona, Tucson, USA
Data Science and AI Lab, Abu Dhabi, ARE
Computational Social Science Methods Research Group, QUT Digital Media Research Centre, Brisbane, AUS
Computational Social Science Lab, Sydney, AUS
Computational Communication Science Lab, Vienna, AUT
Digital Humanities Lab at UFBA, Salvador, BRA
Computational Social Science Lab, University of Toronto, Toronto, CAN
Centre for Computational Social Science, University of British Columbia, Vancouver, CAN
Professorship of Computational Social Science (COSS), ETH Zürich, CHE
Social Networks Lab, ETH Zürich, CHE
Computational Communication and Social Science Research Group, University of Zurich, CHE
Computational Communication Collaboratory (CCC, C-Cube, or C3), Nanjing University, Nanjing, CHN
Institute of Computational Social Science, CUHK-Shenzhen, CHN
CSS Lab RWTH Aachen, Aachen, DEU
AI & Society Lab, Alexander von Humboldt Institute for Internet and Society, Berlin, DEU
Computational Social Science Team, Centre Marc Bloch, Berlin, DEU
Data Science Lab, Hertie School, Berlin, DEU
Methods Lab, Weizenbaum-Institut, Berlin, DEU
Social Data Laboratory, Bremen, DEU
CSS Department at GESIS, Cologne, DEU
CSS - SynoSys, Dresden, DEU
Research Cluster Computational Social Science, Zeppelin University, Friedrichshafen, DEU
Computational Communication Science Group, Ilmenau, DEU
Computational Communication Science Researh Group, Mainz, DEU
Chair of Data Science in the Economic and Social Sciences, Mannheim, DEU
Lehrbereich Computational Social Sciences, LMU Munich, DEU
Research Unit Computational Communication Science, LMU Munich, DEU
Computational Social Science and Big Data TUM Munich, TUM Munich, DEU
Department of Digital and Computational Demography, Rostock, DEU
Computational Social Science Group, Institute of Sociology and Demography, University of Rostock, Rostock, DEU
Social Foundations of Computation - Max Planck Institute for Intelligent Systems, Tübingen, DEU
DATALAB - Center for Digital Social Research, Aarhus, DNK
Copenhagen Center for Social Data Science (SODAS), Copenhagen, DNK
NEtwoRks, Data, and Society (NERDS), Copenhagen, DNK
Computational Social Science Group, Tartu, EST
Institute for Cross-Disciplinary Physics and Complex Systems (IFISC), Palma, ESP
Computational Social Science Group, Aalto University, Espoo, FIN
Centre for Social Data Science, Helsinki, FIN
Social Data Science Lab at Cardiff University, Cardiff, GBR
Centre for Data, Culture & Society, Edinburgh, GBR
Oxford Internet Institute, Oxford, GBR
Machine Learning and Economics Group, Oxford, GBR
Social Data Institute, University College London, GBR
Social Data Science Lab, Queen Mary University of London, GBR
Computational Social Science Lab, Chinese University of Hong Kong, Hong Kong, HKG
Web Mining Lab, City University of Hong Kong, Hong Kong, HKG
Computational Social Sciences and Law Lab, City University of Hong Kong, Hong Kong, HKG
Computational Social Sciences Lab, University of Hong Kong, Hong Kong, HKG
RC2S2 Research Center for Computational Social Science, Eötvös Loránd University, Budapest, HUN
Connected_Politics Lab, Dublin, IRL
Computational Social Science Centre (CSSC), Bologna, ITA
Behave Lab, Milan, ITA
Center of Data Science and Complexity for Society (CDCS), Sapienza University, Rome, ITA
Center for Computational Social Science and Human Dynamics (C2S2), University of Trento and Bruno Kessler Foundation, Trento, ITA
Mobile and Social Computing Lab (MobS Lab), Bruno Kessler Foundation, Trento, ITA
CENTAI Institute, Turin, ITA
Center for Computational Social Science, Kobe University, Kobe, JPN
Computational Social Science Lab, Institute of Science Tokyo, Tokyo, JPN
Computational Communication Science Amsterdam, NLD
Social and Behavioural Data Science Centre, Amsterdam, NLD
Societal Analytics Lab, VU Amsterdam, NLD
ODISSEI (Open Data Infrastructure for Social Science and Economic Innovations), Rotterdam, NLD
Political Data Science (PODS) Research Group, Oslo, NOR
Centre for Computational Social Science and Humanities, National University of Singapore, SGP
Swedish Excellence Centre for Computational Social Science, Linköping, SWE
UU-InfoLab (Uppsala University Information Laboratory), Uppsala, SWE
Center for Computational Social Sciences, Koç University, Istanbul, TUR
Viral Lab (VRLLab), Sabanci University, Istanbul, TUR
Communication Data and Network Analytics Lab, Academia Sinica, Taipei, TWN
Observatory on Social Media, Indiana University, Bloomington, USA
Center for Complex Networks and Systems Research, Indiana University, Bloomington, USA
Soda (Social Data and AI) Lab, Indiana University, Bloomington, USA
Lazerlab, Northeastern University, Boston, USA
Laboratory for the Modeling of Biological and Socio-Technical Systems (MOBS Lab), Northeastern University, Boston, USA
Network Science Institute (NetSI), Northeastern University, Boston, USA
Al-Adala Lab, University of Colorado, Boulder, USA
Colorado Laboratory for Users, Media, and Networks (COLUMN), University of Colorado, Boulder, USA
MIT Institute for Data, Systems, and Society (IDSS), Massachusetts Institute of Technology, Cambridge, USA
Center for Spatial Data Science (CSDS), University of Chicago, Chicago, USA
Knowledge Lab, University of Chicago, Chicago, USA
Social Data Science Center (SoDa), University of Maryland, College Park, USA
MESO (Modeling Emergent Social Order) Lab, Ohio State University, Columbus, USA
Computational Communication Research Lab (C^2 or C-square), University of California, Davis, USA
Quello Center, Michigan State University, East Lansing, USA
Computational Journalism Lab, Northwestern University, Evanston, USA
Delta Lab, Northwestern University, Evanston, USA
Lab on Innovation, Networks, and Knowledge (LINK), Northwestern University, Evanston, USA
People, Space, and Algorithms (PSA) Research Group, Northwestern University, Evanston, USA
Science of Networks in Communities (SONIC) Lab, Northwestern University, Evanston, USA
Center for AI in Society(CAIS), University of Southern California, Los Angeles, USA
HUmans | MAchines | Networks | Social Systems Lab (HUMANS), University of Southern California, Los Angeles, USA
Computational Social Science Institute at UMass, Massachusetts Amherst, USA
Computational Social Science Lab, Rutgers University, New Brunswick, USA
Working Group on Computational Social Science, Columbia University, New York, USA
Center for Social Media and Politics (CSMaP), New York Univiersity, New York, USA
Center for Information Networks and Democracy(CIND), University of Pennsylvania, Philadelphia, USA
Computational Social Science Lab (CSSLab), University of Pennsylvania, Philadelphia, USA
Network Dynamics Group, University of Pennsylvania, Philadelphia, USA
Center for Computational Analysis of Social and Organizational Systems (CASOS), Carnegie Mellon University, Pittsburgh, USA
PITT Computational Social Dynamics Lab, University of Pittsburgh, Pittsburgh, USA
PITT Initiative on Computational Social Science, University of Pittsburgh, Pittsburgh, USA
Santa Fe Institute (SFI), Santa Fe, USA
Community Data Science Collective, University of Washington, Seattle, USA
PhD degree in Management Science and Engineering (MS&E), Stanford University, USA
Center for Social Data Analytics (C-SoDA), Pennsylvania State University, University Park, USA
Computational Social Science Lab, Purdue University, West Lafayette, USA
Big Data & SocietyComputational Communication ResearchCommunication Methods and MeasuresComputational EconomicsEPJ Data ScienceFrontiers in Big DataInformation, Communication & SocietyJournal of Artificial Societies and Social SimulationJournal of Computational Social ScienceJournal of Quantitative Description: Digital MediaJournal of Social ComputingNature Human BehaviorNew Media & SocietySocial Media and SocietySocial Science Computer ReviewBehavior Research MethodsCommunication Methods and MeasuresComputational Communication ResearchDigital JournalismEPJ Data ScienceJournal of Information Technology & PoliticsJournal of Open Research SoftwareJournal of Open Source SoftwareJournal of Statistical Softwaremethods, data, analysesMobile Media & CommunicationPLOS OneSocial Science Computer ReviewVisual CommunicationFrom Factors to Actors: Computational Sociology and Agent-Based Modelingby Michael W. Macy and Robert Willer (2002)
Life in the network: the coming age of computational social scienceby David Lazer et al. (2009)
Critical Questions for Big Databy Dana Boyd and Kate Crawford (2012)
A 61-million-person experiment in social influence and political mobilizationby Robert M. Bond et al. (2012)
Manifesto of computational social scienceby R. Conte, N. Gilbert, G. Bonelli, C. Cioffi-Revilla, G. Deffuant, J. Kertesz, V. Loreto, S. Moat, J. -P. Nadal, A.…
Digital Footprints: Opportunities and Challenges for Online Social Researchby Scott A. Golder and Michael W. Macy (2014)
Social media for large studies of behaviorby Derek Ruths and Jürgen Pfeffer (2014)
Sociology in the Era of Big Data: The Ascent of Forensic Social Scienceby Daniel A. McFarland, Kevin Lewis & Amir Goldberg (2016)
Installing computational social science: Facing the challenges of new information and communication technologies in…by Raphael H. Heiberger & Jan R. Riebling (2016)
Computational Social Science Methodology, Anyone?by Joop J. Hox (2017)
The empiricist’s challenge: Asking meaningful questions in political science in the age of big databy Andreas Jungherr and Yannis Theocharis (2017)
Computational Social Science ≠ Computer Science + Social Databy Hanna Wallach (2018)
When Communication Meets Computation: Opportunities, Challenges, and Pitfalls in Computational Communication Scienceby Wouter van Atteveldt and Tai-Quan Peng (2018)
Analytical sociology and computational social scienceby Keuschnigg, M., Lovsjö, N. & Hedström, P. (2018)
Computation and the Sociological Imaginationby James Evans and Jacob G. Foster (2019)
Machine Learning for Sociologyby Mario Molina and Filiz Garip (2019)
Social data: Biases, methodological pitfalls, and ethical boundariesby Alexandra Olteanu, Carlos Castillo, Fernando Diaz and Emre Kıcıman (2019)
Computational social science: Obstacles and opportunitiesby David Lazer et al. (2020) (open access version)
Computational Social Science and the Study of Political Communicationby Yannis Theocharis and Andreas Jungherr (2020)
Computational Social Science and Sociologyby Achim Edelmann, Tom Wolff, Danielle Montagne and Christopher A. Bail (2020)
Machine Learning for Social Science: An Agnostic Approachby Justin Grimmer, Margaret E. Roberts, and Brandon M. Stewart (2021)
Measuring algorithmically infused societiesby Claudia Wagner, Markus Strohmaier, Alexandra Olteanu, Emre Kıcıman, Noshir Contractor & Tina Eliassi-Rad (2021)
The data revolution in social science needs qualitative researchby Nikolitsa Grigoropoulou & Mario L. Small (2022)
Awesome Python(other lists: 1, 2, 3) for general resources in Python
APIs for Social ScientistsIntroduction to Computational Social Science in RIntroduction to Computational Social Science Methods with PythonQuanteda Tutorials for Quantitative Text Analysis in RR Course Material for Communication ScienceTime Series Analysis With RGoogle Group Computational Social Science NetworkPodcast about Computational Communication ScienceRatSWD publication "Big data in social, behavioural, and economic sciences: Data access and research data management…reddit community "CompSocial"Awesome CausalityAwesome Community DetectionComprehensive list of community detection papers with title, authors, link to the paper and reference implementation.
Awesome Data Science with Python(another)
Awesome Data ScienceAn open source DataScience repository to learn and apply for real world problems.
Awesome Data VisualizationAwesome Deep LearningA curated list of awesome Deep Learning tutorials, projects and communities.
Awesome Digital HumanitiesAwesome JupyterJupyter
Awesome Machine LearningThe definitive curated list of machine learning frameworks, libraries and software organized by language. Covers…
Awesome MySQLA curated list of awesome MySQL software, libraries, tools and resources.
Awesome Network AnalysisAn awesome list of network analysis resources.
Awesome NLP(another one)
Awesome NotebooksData & AI notebook templates catalog organized by tools.
Awesome Open ScienceAwesome Python(other lists: 1, 2, 3) for general resources in Python
Awesome QuartoAwesome RAwesome Research Software RegistriesAwesome Scholarly Data Analysis