2 IC2S2'24 Philadelphia
Tutorial summary

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