#computationalsocialscience
I will be at #COLM2025 this week, and would love to connect with folks interested in applications (and critiques) of language modeling in social science research!

And join us for the NLP4Democracy workshop on Friday!

sites.google.com/andrew.cmu.e...

#NLP #NLProc #LLM #ComputationalSocialScience
NLP 4 Democracy - COLM 2025
sites.google.com
October 6, 2025 at 7:31 PM
Out in EPJ Data Science, I discuss:

"What can the two sides of #ComputationalSocialScience, i.e., social science and computational science learn from each other in thinking spatially?"

Motivated by @yyahn.bsky.social brilliant keynote IC2S2 2021

Open Access here:
doi.org/10.1140/epjd...
February 27, 2024 at 9:11 AM
Want to host a Summer Institute in Computational Social Science in 2024? Applications are due on Friday, November 17th! Apply here: sicss.io/host #SICSS #ComputationalSocialScience #DataScience
October 9, 2023 at 2:56 PM
Join us for the first talk in our Computational Social Science Speaker Series

🎤 Interactivity & Democracy: Online Media Effects in the Age of AI
👤 Dr. S. Shyam Sundar, Penn State
📅 Sept 20, 1:30-2:30 pm
📍 DMC 5.102

#AI #ComputationalSocialScience #Democracy #TechForGood
September 16, 2024 at 6:06 PM
🎤 𝗘𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗡𝗲𝘄𝘀!

We're thrilled to announce that Cesar Hidalgo @cesifoti.bsky.social will be joining us as a keynote speaker at our #ComputationalSocialScience Satellite, taking place during #CCS2025!

📍Siena, Italy

📅 Sep 4

💡Come for the science, stay for the inspiration!
July 3, 2025 at 3:41 PM
Alongside the focused academic work, there’s time for informal exchange – over coffee, lunch, or a relaxed dinner in Bochum. Because great ideas often grow from good conversations. ☕

Thanks to Ahrabhi for initiating this collaboration!

#ComputationalSocialScience #AcademicExchange #CSS #Bochum
August 8, 2025 at 8:25 AM
New publication in the @GESIS Guides to Digital Behavioral Data by Jo Lukito, Sebastian Stier, Mareike Wieland, @danica, Frank Mangold, and me:
"Overview of Ethical Considerations when Working with Digital Behavioral Data"
https://rrr.is/dbdethics
#computationalsocialscience #digitaltraces […]
Original post on fediscience.org
fediscience.org
March 17, 2025 at 3:06 PM
The ANU HASS Digital Research Hub is advertising an RSE role, to contribute to the SSRIN project, funded by ARDC and led by University of Queensland.

jobs.anu.edu.au/jobs/researc...

#socialscience #digitalsocialscience #computationalsocialscience
Research Software Engineer (Social Science Research Infrastructure Network) - Canberra / ACT, ACT, Australia
Classification: ANU Officer Grade 6/7 (Specialist)Salary package: $93,646 to $107,795 per annum plus 17% superannuation Terms: Full time, Fixed Term (up to 18 months) Help Build National Research ...
jobs.anu.edu.au
April 8, 2025 at 5:02 AM
New Instats livestreaming seminar: Causal Inference with AI and Machine Learning

#ComputationalSocialScience #DataAnalytics #DataScience #Economics #PublicPolicy #Statistics #Econometrics #ComputerScience #RStudio #ChatGPT #Research #ResearchTraining #Instats
Causal Inference with AI and Machine Learning - Livestream starting Dec 11, 2025 (UTC)
Join an intensive two-day online workshop to master causal inference from first principles to modern causal ML: learn counterfactuals, DAGs, RCTs/IV/DiD design and diagnostics, and state-of-the-art estimators like Double Machine Learning and causal forests — all with hands-on R sessions and integrated LLM-assisted prompting for checks, placebo tests, variable engineering, and clear visual explanations of heterogeneous effects. Designed for researchers, practitioners, and policymakers who want to move beyond prediction, the course emphasizes study design, threat diagnosis, low-programming implementations, and practical reporting of assumptions and policy relevance; live via Zoom with take-home challenges, recordings, code, data, slides, and a monitored chat forum available for 30 days after the seminar. Participants receive a certificate of completion (ECTS equivalence noted for European students); basic comfort with statistics/regression helps but is not required. Learn more and enroll to sharpen your ability to estimate and explain causal effects reliably. #ComputationalSocialScience #DataAnalytics #DataScience #Economics #PublicPolicy #Statistics #Econometrics #ComputerScience #RStudio #ChatGPT #Research #ResearchTraining #Instats
instats.org
October 8, 2025 at 11:22 PM
New Instats livestreaming seminar: Generative AI for Data Analysis

#ArtificialIntelligence #ComputationalSocialScience #DataAnalytics #DataScience #Statistics #ComputerScience #ChatGPT #Jupyter #Python #Research #ResearchTraining #Instats
Generative AI for Data Analysis - Livestream starting Oct 30, 2025 (UTC)
Join Dr Kimberly Fessel for a one-day, hands-on workshop designed for PhD students, postdocs, faculty and research professionals who want practical, research-focused applications of generative AI: learn to integrate ChatGPT into Jupyter/Python workflows to accelerate data cleaning, exploratory analysis, visualization, synthetic data generation, prompt engineering, code explanation, and reproducible notebook practices—boosting research throughput while preserving statistical rigor. The day balances short lectures with supervised exercises and provides ready-to-use notebooks, templates, and methods to audit AI-assisted code; participants should have basic Python and statistics familiarity and will receive pre-seminar environment instructions. Delivered via Zoom with recordings and all materials available for 30 days after the seminar, the workshop also includes an Instats certificate of completion (ECTS-equivalent where indicated for European students). Enroll now to gain immediately applicable skills that make your research more efficient, reproducible, and transparent. #ArtificialIntelligence #ComputationalSocialScience #DataAnalytics #DataScience #Statistics #ComputerScience #ChatGPT #Jupyter #Python #Research #ResearchTraining #Instats
instats.org
August 24, 2025 at 8:13 PM
Thanks to @jkhoehne.bsky.social & @jclaass.bsky.social for inviting me! The slides from my CS3 Lab presentation on "Ethical questions in research with digital trace data" are now available here: jkhoehne.eu/cs3-lab/
#computationalsocialscience #researchethics #digitaltraces
- Dr. Jan Karem Höhne
CS3 lab for Computational Survey and Social Science is an interdisciplinary group of researchers from various fields, such as social
jkhoehne.eu
June 18, 2025 at 3:31 PM
✨ Come and work with us! 🧑‍💻 Awesome research. 🌟 Stellar team. 🤝 Friendly and cooperative atmosphere. 🌍 Truly interdisciplinary at the intersection SocSci ↔️ CompSci. 💡 Any question? Feel free to PM. 📩 #AI #Government #ComputationalSocialScience #HigherEducation 🎓 www.jobs.ac.uk/job/DKS526/a...
Associate Professor Government and AI (Research and Education) (Dubai) at University of Birmingham
Start your UK & international job search for academic jobs, research jobs, science jobs and managerial jobs in leading universities and top...
www.jobs.ac.uk
November 27, 2024 at 9:15 AM
Had a great time at the CSS workshop in Mannheim organized by @rubac.bsky.social & @valeriehase.bsky.social. You can find my slides on "Reproducibility & Replicability in Computational Social Science Research" here: doi.org/10.6084/m9.f...
#reproducibility #replicability #computationalsocialscience
Reproducibility & Replicability in Computational Social Science Research
Presentation on
doi.org
May 16, 2025 at 11:30 AM
Thanks to Jan Karem Höhne & Joshua Claaßen for inviting me! The slides from my CS3 Lab presentation on "Ethical questions in research with digital trace data" are now available here: https://jkhoehne.eu/cs3-lab/
#computationalsocialscience #researchethics #digitaltraces
jkhoehne.eu
June 18, 2025 at 3:32 PM
💡We find that:
- Experts use 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 to assess the LLM;
- Surprisingly, 𝗹𝗼𝗻𝗴𝗲𝗿 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲 𝗻𝘂𝗮𝗻𝗰𝗲𝗱 𝗱𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻𝘀 𝗼𝗳 𝘀𝗲𝘅𝗶𝘀𝗺 developed via LLM-human collaboration;
- Some experts improve zero-shot performance with their improved definition.

#NLProc #CSS #computationalsocialscience
April 29, 2025 at 11:40 AM
New Instats livestreaming seminar: Statistical Analysis of Social Network Data

#ComputationalSocialScience #DataScience #SocialTheory #Statistics #MachineLearning #PublicPolicy #Sociology #ComputerScience #R #Research #ResearchTraining #Instats
Statistical Analysis of Social Network Data - Livestream starting Jan 15, 2026 (UTC)
Join a one-day, hands-on workshop on modern statistical methods for network data led by Professor Tianxi Li (School of Statistics, University of Minnesota). Designed for PhD students, faculty, and professional researchers, the workshop pairs concise theory with live R demonstrations and reproducible workflows to cover network representations and summaries, statistical inference and null models, probabilistic models (stochastic block and latent-space), community detection and link prediction, attributed-network analysis, and privacy-preserving release of relational data. Participants will leave able to select and fit appropriate models, implement latent-space and block models in R, design proper cross-validation for link prediction, perform simulation-based model checks, and apply best practices for computation and reproducible reporting (bring a laptop with R/RStudio; basic R, linear algebra, and probability assumed). The seminar is livestreamed via Zoom, all recordings and materials are available for 30 days after the event, and attendees receive an Instats certificate of completion (ECTS-equivalent points indicated for European students). #ComputationalSocialScience #DataScience #SocialTheory #Statistics #MachineLearning #PublicPolicy #Sociology #ComputerScience #R #Research #ResearchTraining #Instats
instats.org
November 10, 2025 at 8:12 AM
Join our Introduction to Programming and Simulation for Computational Social Science course with @cjfariss.bsky.social from the University of Michigan.

💻Attend in person or online! 🌍

🔗 Enrol now!
essexsummerschool.com/application/

#EssexSummerSchool #HybridLearning #ComputationalSocialScience
May 9, 2025 at 2:20 PM
July 22, 2025 at 8:10 AM
New Instats livestreaming seminar: Audit Experiments for Research and Practice

#ComputationalSocialScience #Economics #PoliticalEconomy #PoliticalScience #Sociology #Statistics #DataScience #PublicPolicy #SocialTheory #R #RStudio #Research #ResearchTraining #Instats
Audit Experiments for Research and Practice - Livestream starting Dec 3, 2025 (UTC)
Join an intensive two‑session seminar led by Professor Charles Crabtree (Dartmouth) on designing and implementing audit (correspondence) experiments—one of the most powerful tools for measuring real‑world discrimination. Combining experimental logic, ethical practice, and hands‑on R coding, the workshop covers operationalizing hypotheses, name selection and validation, power analysis, within/between‑subject designs, threats to validity and robustness checks, IRB‑ready materials and pre‑registration, automated pipelines and outcome instrumentation, and transparent replication practices. Aimed at PhD students, faculty, and researchers in the social sciences planning an audit study within the year, participants will leave with starter scripts, sample data, pre‑analysis templates, and the practical skills to produce publishable, policy‑relevant work. Delivered live via Zoom with recordings and a monitored Q&A available for 30 days after the seminar, plus a certificate of completion (ECTS‑equivalent where indicated) — register or learn more today. #ComputationalSocialScience #Economics #PoliticalEconomy #PoliticalScience #Sociology #Statistics #DataScience #PublicPolicy #SocialTheory #R #RStudio #Research #ResearchTraining #Instats
instats.org
October 11, 2025 at 8:11 PM
Call for papers: the Computational Analysis of Cultural Conflicts.

Special Issue in Frontiers in Big Data.

Deadline abstracts: 1 January | Full papers: 1 May 2021

https://www.frontiersin.org/research-topics/17419/the-computational-analysis-of-cultural-conflicts
#com
putationalsocialscience @O...
December 11, 2024 at 6:13 PM
What explains valuation of contemporary art (1996-2012)? In this study, ranging across 23 countries, social signals (e.g. about the artist's previous sales) explained 73% of the variance in the price of a work and visual features only 5.5%. #computationalsocialscience www.nature.com/articles/s41...
June 13, 2024 at 10:18 PM