Training Computational Social Science Ph.D. Students for Academic and Non-Academic Careers
Jae Yeon Kim, Tiago Ventura, Aniket Kesari, Sono Shah, Tina Law
New Approaches and Data Sources to Study Digital Media and Democracy
Sebastian Stier, Philipp Lorenz-Spreen, Lisa Oswald, David Lazer
Using LLMs for Computational Social Science
Diyi Yang, Caleb Ziems, Niklas Stoehr
Collecting Digital Trace Data Through Data Donation
Laura Boeschoten, Niek de Schipper
Thinking With Deep Learning: An Exposition Of Deep (Representation) Learning for Social Science Research
James Evans, Bhargav Srinivasa Desikan
Exploring Emerging Social Media: Acquiring, Processing, and Visualizing Data with Python and OSoMe Web Tools
Filipi Nascimento Silva, Kaicheng Yang, Bao Tran Truong, Wanying Zhao
Making Models We Can Understand: An Interactive Introduction to Interpretable Machine Learning
Chudi Zhong, Alina Jade Barnett, Harsh Parikh
Building Reproducible LLM Workflows for Social Science Research
Kai Chen, Ajay Patel
Active Agents: An Active Inference Approach to Agent-Based Modeling in the Social Sciences
Andrew Pashea
The Dark Web: Harnessing the Platform for Social Science Research
Brady Lund