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Daniel Molitor

@dmolitor.bsky.social

39 followers 57 following 3 posts

PhD candidate in Information Science at Cornell University.

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Reposted by Daniel Molitor

Political Analysis @polanalysis.bsky.social · 30/04/2026

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.

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Reposted by Daniel Molitor

Cambridge University Press Political Science & IR @cambup-polsci.cambridge.org · 13/04/2026

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

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

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Reposted by Daniel Molitor

John Holbein @johnholbein1.bsky.social · 01/05/2025

If you run conjoint experiments, you need to read this. Most conjoints estimate average effects for each attribute. But what if the effect of one attribute depends on the others? This paper has got you covered!

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Reposted by Daniel Molitor

andrea wen-yi wang @andreawwenyi.bsky.social · 09/04/2025

[New preprint!] Do Chinese AI Models Speak Chinese Languages? Not really. Chinese LLMs like DeepSeek are better at French than Cantonese. Joint work with Unso Jo and @dmimno.bsky.social . Link to paper: arxiv.org/pdf/2504.00289 🧵

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