Issue 6.4, Fall 2024

From the Editor-in-Chief

AI Has Won Nobel Prizes in Hard Science: Can Humans Be Smarter—and Softer on Each Other?

by Xiao-Li Meng

Panorama

Overviews, Visions, and Debates

Predicting the 2024 Presidential Election

by Liberty Vittert, Ryan D. Enos, and Stephen Ansolabehere

2024 Election Theme

AI and Elections: A Conversation With Secretary Steve Simon of Minnesota

by Steve Simon, Xiao-Li Meng, and Liberty Vittert

An interview with Steve Simon by Xiao-Li Meng and Liberty Vittert. 2024 Election Theme.

Grappling With Uncertainty in Forecasting the 2024 U.S. Presidential Election

by Andrew Gelman, Ben Goodrich, and Geonhee Han

2024 Election Theme

The Keys to the White House: Predicting the 2024 Winner

by Allan Lichtman

2024 Election Theme

Toward Generalizing Inferences From Trials to Target Populations

by Melody Huang and Harsh Parikh

Cornucopia

Impact, Innovation, and Knowledge Transfer

Election Night Forecasting With DDHQ: A Real-Time Predictive Framework

by Zachary Donnini, Sydney Louit, Shelby Wilcox, Mukul Ram, Patrick McCaul, Arianwyn Frank, Matt Rigby, Max Gowins, and 1 more

2024 Election Theme

Stepping Stones

Learning, Teaching, and Communication

Where Data Science and the Disciplines Meet: Innovations in Linking Doctoral Students With Masters-Level Data Science Education

by Doreet Preiss, Jessica Sperling, Ryan M. Huang, Kyle Bradbury, Thomas Nechyba, Robert Calderbank, Gregory Herschlag, and Jana Schaich Borg

Milestones and Millstones

Foundations, Theories, and Methods

Forecasting Turnout

by Stephen Ansolabehere, Jacob Brown, Kabir Khanna, Connor Phillips, and Charles Stewart III

2024 Election Theme.

Minding the Future

Building Pipelines for Data Science

Column Editor: Nicole Lazar

How Data Science Can Be Started From Your School’s Yearbook

by Anthony Shen

Mining the Past

Brief Histories of Data Science

Column Co-Editors: Stephanie Dick and Christopher J. Phillips

Some Early History of Data Security

by Stephen M. Stigler

Recreations in Randomness

Data Science for Leisure Activities

Column Editor: Mark Glickman

The Art of Randomness: Sampling and Chance in the Age of Algorithmic Reproduction

by Johan Ugander and Ziv Epstein

Reinforcing Reproducibility and Replicability

A Path to Better (Data) Science

Column Editor: Lars Vilhuber

Introducing Reproducible Research Standards at the World Bank

by Maria Jones

Bits and Bites

Murder at Polling Manor

by Michael A. Bailey

2024 Election Theme

AI Has Won Nobel Prizes in Hard Science: Can Humans Be Smarter—and Softer on Each Other?

Predicting the 2024 Presidential Election

AI and Elections: A Conversation With Secretary Steve Simon of Minnesota

Grappling With Uncertainty in Forecasting the 2024 U.S. Presidential Election

The Keys to the White House: Predicting the 2024 Winner

Toward Generalizing Inferences From Trials to Target Populations

Election Night Forecasting With DDHQ: A Real-Time Predictive Framework

Where Data Science and the Disciplines Meet: Innovations in Linking Doctoral Students With Masters-Level Data Science Education

Forecasting Turnout

Columns

How Data Science Can Be Started From Your School’s Yearbook

Some Early History of Data Security

The Art of Randomness: Sampling and Chance in the Age of Algorithmic Reproduction

Introducing Reproducible Research Standards at the World Bank

Murder at Polling Manor