Berkeley Institute for Data Science (BIDS)

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BIDS is a central hub of data-intensive research, open source software, and data science training programs at UC Berkeley. Our programs and initiatives are d...

Latest Videos

Seminar with Peter Fackeldey Awkward Array manipulating nested, variable-sized data...

Seminar with Clancy Wilmott Data practice as theoretical inquiry...

Seminar with Hannes Bajohr Artificial and Post-Artificial Texts The Reader’s Expectation after AI

Seminar with Nina Beguš Artificial Humanities

Seminar with Stéfan van der Walt Scientific Python Community, Tools, and Open Science

Seminar with Madelon Hulsebos Retrieval Systems for Structured Data...

Fernando Pérez Reproducibility & open science with the Jupyter ecosystemfrom research to teaching

Eunice Jun Enhancing Statistical Validity with Usable Abstractions and Interactive Tools

Tiffany Tang Low-signal iterative random forests

Maya Mathur Replication Puzzles and Hidden Effect Modifiers

Ronaldas Lencevičius Container-Driven Reproducible Research Made Simple

Alyssa Hu Computational Thinking with Data Engaging in Data Exploration, Data Analysis, and...

Ying Jin Diagnosing distribution shift and generalizability with scientific replication datasets

Bin Yu Veridical Data Science and PCS Uncertainty Quantification

Edward Miguel Preventing Publication Bias & Promoting Research Transparency in Economics & Beyond

Peter Kedron Spatial Stability in Veridical Data Science

Aaron Kornblith Using PCS to improve the care of injured children in the emergency department

Yihui Xie Reflections on the 12 Years of R Markdown

Steven Goodman The 4 D’s of veridical biomedical science Design, Design, Design…and Data

Dominik Rothenhäusler Estimation and inference under random distributional shifts

Auden Krauska In systematic reviews, less than 10% of randomized controlled trials in...

Alexander D'Amour Exploring (In)Stability in Modern Machine Learning and AI

C. Titus Brown Building a community of practice around veridical data science...

Bin Yu and Russ Poldrack Opening Remarks

Tian Zheng Prediction scoring of data-driven discoveries for reproducible research

Gabriel Ruiz Sample size planning for conditional counterfactual mean estimation with a K-armed...

Anni Hellman – An update on European disinformation policy, and more – CSS Forum

Anni Hellman – The computer says no, but can I believe him Thoughts on auditing AI

Alex de Siqueira – Introduction to SQL – BIDS-UpGlo Webinar

Timnit Gebru – The Distributed AI Research Institute (DAIR) – BIDS Machine Learning & Science Forum