Resources
- Big Data & Society, https://journals.sagepub.com/home/bds
- Computational Communication Research, https://journal.computationalcommunication.org/
- Computational Humanities Research, https://www.cambridge.org/core/journals/computational-humanities-research
- Communication Methods and Measures, https://www.tandfonline.com/journals/hcms20
- Computational Economics, https://link.springer.com/journal/10614
- EPJ Data Science, https://epjdatascience.springeropen.com/
- Frontiers in Big Data, https://www.frontiersin.org/journals/big-data
- Information, Communication & Society, https://www.tandfonline.com/journals/rics20
- Journal of Artificial Societies and Social Simulation, https://www.jasss.org/JASSS.html
- Journal of Communication, https://academic.oup.com/joc
- Journal of Computational Social Science, https://link.springer.com/journal/42001
- Journal of Quantitative Description: Digital Media, https://journalqd.org/
- Journal of Social Computing, https://www.sciopen.com/journal/2688-5255
- Information Systems Research, https://pubsonline.informs.org/journal/isre
- MIS Quarterly, https://misq.umn.edu/
- Nature Human Behavior, https://www.nature.com/nathumbehav/
- New Media & Society, https://journals.sagepub.com/home/nms
- Scientific Reports, https://academic.oup.com/joc
- Social Media and Society, https://journals.sagepub.com/home/sms
- Social Networks, https://www.sciencedirect.com/journal/social-networks
- Social Science Computer Review, https://journals.sagepub.com/home/ssc
- BigSurv – Big Data Meets Survey Science, https://bigsurv.github.io/
- CHI – ACM CHI Conference on Human Factors in Computing Systems, https://chi.acm.org/
- Complex Networks – International Conference on Complex Networks and their Applications, https://www.complexnetworks.org/
- COMPTEXT Conference, https://www.comptextconference.org/
- Computational Humanities Research, https://2024.computational-humanities-research.org/
- Conference on Complex Systems (in particular the Computational Social Science satellite), https://cssociety.org/events
- CSCW – ACM Conference On Computer-Supported Cooperative Work, https://cscw.acm.org/
- EPSA – European Political Science Association Conference (Methods division), https://epsanet.org/
- International Conference on Computational Social Science (IC²S²), https://iscss.org/about/about-iscss/
- ICA – Annual International Communication Association Conference (Methods Division), https://www.icahdq.org/
- ICWSM – International AAAI Conference on Web and Social Media, https://www.icahdq.org/
- NetSci – International Conference on Network Science, https://netscisociety.net/events/netsci/
- SSC – Social Simulation Conference, https://netscisociety.net/events/netsci/
- WebSci – ACM Web Science Conference, https://netscisociety.net/events/netsci/
- Computational Social Science Events worldwide, Public Calendar
- Minor in Human-AI Systems (Faculty of Arts and Social Sciences, NUS), https://fass.nus.edu.sg/elts/human-ai-systems/
- Berkely’s DLAB Computational Social Science Training Program, https://github.com/dlab-berkeley/Computational-Social-Science-Training-Program
- Chris Bail’s Computational Social Science (Duke University) https://cbail.github.io/comp_soc_grad/
- Data Science for Social Good (Carnegie Mellon University), https://github.com/dssg
- ESSA (European Social Simulation Association) summer school, http://www.essa.eu.org/event-type/summer-school/
- Essex Summer School in Social Science Data Analysis, https://essexsummerschool.com/
- GESIS Fall Seminar in Computational Social Science, https://www.gesis.org/en/gesis-training/what-we-offer/fall-seminar-in-computational-social-science
- Jae Yeon Kim’s Computational Thinking for Social Scientists, https://github.com/jaeyk/comp_thinking_social_science
- Jorge Cimentada’s Machine Learning for Social Scientists, https://cimentadaj.github.io/ml_socsci/
- NLP + CSS Workshops, https://sites.google.com/site/nlpandcss/
- Max Plank Institute For Demographic Research, https://www.demogr.mpg.de/en/career_6122/international_advanced_studies_in_demography_6682/courses_6931/
- Summer Institutes in Computational Social Science, https://sicss.io/
- Singapore Social Science and Humanities Research Council, https://www.ssrc.edu.sg/
- National Research Foundation, https://www.nrf.gov.sg/
- National Heritage Board, https://www.nhb.gov.sg/what-we-do/our-work/community-engagement/grants
- Textual and Bibliographic Databases (PhilComp), https://www.philocomp.net/texts/databases.htm
- Resources for Computational Social Science (University of Chicago), https://guides.lib.uchicago.edu/compsocsci/datasets
- Humanities Datasets (Princeton), https://cdh.princeton.edu/programs/humanities-data-new/
- A tool for finding distinguishing terms in corpora and displaying them in an interactive HTML scatter plot, https://github.com/JasonKessler/scattertext
- Protest Activity Detection and Perceived Violence Estimation from Social Media Images, https://github.com/wondonghyeon/protest-detection-violence-estimation
- Word2Vec-bias-extraction, https://github.com/arsena-k/Word2Vec-bias-extraction
- SAGE Tool list for Social Science, https://github.com/sagepublishing/sage_tools_social_science/blob/master/data/master_tools_current.csv
- A curated lists of resources across various machine learning and deep learning topics, https://github.com/ZhiningLiu1998/awesome-awesome-machine-learning#table-of-contents
- Understanding Neural Networks, https://playground.tensorflow.org
- Demo to play with and understand neural networks, https://poloclub.github.io/cnn-explainer/