Currently in FirstView: In “On the Foundations of the Design-Based Approach,” P. M. Aronow, Austin Jang, and @mollyow.bsky.social propose a design-based framework for analyzing randomized trials and survey sampling that avoids strong claims about the data-generating process.
Molly Offer-Westort
@mollyow.bsky.social
Assistant Professor of Political Science | University of Chicago
Research Obsession Day 8: A reminder to meet voters where they are, featuring research by @mollyow.bsky.social on persuading voters on climate. Plus: why microtargeting ain't all that. journals.sagepub.com/doi/full/10....
Yes, I AM obsessed with learning how to win elections! (from @gelliottmorris.com) And because this is social media, I will share my obsession w/ you. Starting tomorrow, I'll share one recent study on winning elections per (work?) day But first, why am I obsessed with how to win elections? Because:
My co-author Leah R. Rosenzweig wrote a blog post about a social media experiment we ran on vaccine hesitancy in Kenya and Nigeria www.cgdev.org/blog/us-just...
The US Just Changed Vaccine Guidance. Can AI Help Families Decide?
Vaccines are among the most impactful global health innovations. They drive major declines in child mortality and prevent an estimated 3.5 to 5 million deaths every year. The golden age of vaccine dev...
cgdev.org
K. Munger argues that, when an agnostic approach is applied, the goal of prediction is generically impossible. A. Jang, @mollyow.bsky.social, S. Wang & P. M. Aronow situate Munger’s critique in a broader literature and point to ways in which gnosis can facilitate the accumulation of knowledge.
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
doi.org
Congratulations Assistant Professor Molly Offer-Westort (@mollyow.bsky.social) on becoming a 2024 Carnegie Corporation of New York Fellow! This fellowship will support Molly Offer-Westort in her work to study how social media platforms impact our democracy
The 2024 syllabus for my Advanced topics Causal Inference & Machine Learning course is up! @uchicago.bsky.social @dsi-uchicago.bsky.social t.co/3P6nO98aVA
This is a fantastic opportunity for graduate students working in data science—across a wide range of disciplines. Info session Sept 6. datascience.uchicago.edu/research/pos...