Python Boot Camp Fall 2016_Part 9_Object Oriented Programming

Dominik Rothenhäusler "Estimation and inference under random distributional shifts"

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

Peter Kedron "Spatial Stability in Veridical Data Science"

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

Maya Mathur "Replication Puzzles and Hidden Effect Modifiers"

Bin Yu and Russ Poldrack: Opening Remarks

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

Ronaldas Lencevičius "Container-Driven Reproducible Research Made Simple"

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

Bin Yu "Veridical Data Science and PCS Uncertainty Quantification"

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

Yihui Xie "Reflections on the 12 Years of R Markdown"

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

Tiffany Tang "Low-signal iterative random forests"

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

Ying Jin "Diagnosing distribution shift and generalizability with scientific replication datasets"

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

Alex de Siqueira – Overview of R – BIDS-UpGlo Webinar

J. Harney – Power of Empathy: Experimental Evidence of Perspective-Focused Interventions – CSS Forum

A. Stern, A. Narayanan – Ethics/Empathy in Using Imputation to Disaggregate Data for Racial Equity

Cheng Ren, Irene Bloemraad – Using ML to Code Immigrant-Serving Organizations – Berkeley CSS Forum