We are excited to host Stanford’s 2nd Education Data Science Conference May 27-28, bringing together educators, researchers, and policymakers to explore what education data science research can—and should—be in an era of rapidly advancing technology. As generative AI makes rich educational data feel immediately actionable, it also raises pressing questions around validity, bias, privacy, and pedagogical judgment. This conference provides a forum to engage these opportunities and challenges through dialogue, collaboration, and cutting-edge research.

The program will feature a wide array of presentations on:

• Bridging research and practice: Research–practice partnerships with educators, leaders, and policymakers

• LLMs + multimodal/linked data: Integrating text, audio, video, logs, sensors, and administrative data

• Scaling, transferability, and reproducibility: Transparent pipelines, documentation, and code (where feasible)

• Equity, ethics, privacy, and global perspectives: Fairness, governance, and innovations in data-sparse contexts

More details on attending the event can be found on the conference website: edsconference.stanford.edu. If you are interested in presenting, please go to the conference website for details about how to submit an abstract for consideration by January 5.