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Posts by Ian Lundberg

Red background with yellow borders. The text reads, "POLITICAL ANALYSIS" and "#OpenAccess" below.

Red background with yellow borders. The text reads, "POLITICAL ANALYSIS" and "#OpenAccess" below.

#OpenAccess from @polanalysis.bsky.social -

Adaptive Randomization in Conjoint Survey Experiments - https://cup.org/48hKGbd

- @jennahgosciak.bsky.social, @dmolitor.bsky.social & @ianlundberg.bsky.social

#FirstView

1 week ago 4 5 0 0
Three Ways of Looking at Black–White Mortality Differences in the United States | Annual Reviews Everyone agrees that US Black deaths happen earlier than white deaths on average, but it is surprisingly challenging to find the best ways to summarize, quantify, and compare this gap. This review arg...

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.

11 months ago 527 164 29 12
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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

11 months ago 13 8 0 1
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Section Award Nomination Calls | American Sociological Association Many ASA Sections offer awards to recognize achievement in their respective areas of academic interest.  Following are the most recent calls for nominations

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-...

1 year ago 2 0 0 0
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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/...

1 year ago 22 4 1 0

Thanks!

1 year ago 1 0 0 0

also thanks to additional team members who conducted some of the interviews! Bobbi Brashear, Maria Canals, Kristin Catena, Katie Donnelly, Kaitlin Edin-Nelson, Alexus Fraser, Ashley Hyman, Stefanie Mavronis

1 year ago 2 0 1 0

Work of a terrific collaborative team! With Rachel Brown-Weinstock, Susan Clampet-Lundquist, Sarah Pachman, Timothy Nelson, Vicki Yang, Kathryn Edin, and @msalganik.bsky.social. Made possible with FFCWS data!

1 year ago 2 0 1 0
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The origins of unpredictability in life outcome prediction tasks | Proceedings of the National Academy of Sciences Why are some life outcomes difficult to predict? We investigated this question through in-depth qualitative interviews with 40 families sampled fro...

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

1 year ago 24 5 1 1