Currently in FirstView: In “Adaptive Randomization in Conjoint Survey Experiments,” @jennahgosciak.bsky.social, @dmolitor.bsky.social, and @ianlundberg.bsky.social develop an adaptive design for conjoint experiments that summarizes the range of effects of one attribute as a function of all others.

#OpenAccess from @polanalysis.bsky.social - Adaptive Randomization in Conjoint Survey Experiments - https://cup.org/48hKGbd - @jennahgosciak.bsky.social, @dmolitor.bsky.social & @ianlundberg.bsky.social#OpenAccess #FirstView

The biggest project I've worked on for the last chunk of years was just published. It asks, how big are US Black-white lifespan differences? This might seem like a narrow question. I hope to convince you by the end that there are answers you didn't anticipate. And I hope some of them will move you.

Applications are open for the Summer Institute in Computational Social Science SICSS 2025 at UCLA! Apply by May 2! Free, 2-wk institute in comp social science for grad students, postdocs & early-career faculty. sicss.io/2025/ucla/ @ianlundberg.bsky.social @jenniebrand.bsky.social

Do you know someone (maybe even you!) who has made a a discovery, innovation, or advancement representing a significant contribution to sociological methodology? Send us nominations for the ASA Methodology Section Innovation Award! Due March 1. www.asanet.org/communities-...

Our new paper explains why some life outcomes are hard to predict. We combined machine learning, a mathematical decomposition, and in-depth qualitative interviews to understand the origins of unpredictability: www.pnas.org/doi/10.1073/...

New in PNAS! Qualitative interviews help us understand the origins of unpredictability in life outcome prediction tasks doi.org/10.1073/pnas...