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Linde Center for Science, Society, & Policy at Caltech | Research & debate on topics at intersection of science, society, & policy | R.M. Alvarez & F. Eberhardt

Caltech, Pasadena CA
Joined November 2022
Photo by Caltech LCSSP (@CaltechLCSSP)Photo by Caltech LCSSP (@CaltechLCSSP)Photo by Caltech LCSSP (@CaltechLCSSP)Photo by Caltech LCSSP (@CaltechLCSSP)Photo by Caltech LCSSP (@CaltechLCSSP)Photo by Caltech LCSSP (@CaltechLCSSP)Photo by Caltech LCSSP (@CaltechLCSSP)Photo by Caltech LCSSP (@CaltechLCSSP)Photo by Caltech LCSSP (@CaltechLCSSP)Photo by Caltech LCSSP (@CaltechLCSSP)
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๐Ÿ’กAI can accelerate development, but without inclusion it may deepen existing inequalities. @CaltechLCSSP's Ramit Debnath & @Cambridge_Uni's Abdullah Safir argue that AIโ€™s future depends on whose voices, knowledge, and priorities are represented. ๐Ÿ”—universityworldnews.com/postโ€ฆ
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Missed the election debriefs?๐Ÿ—ณ๏ธ @CaltechLCSSP's @rmichaelalvarez discussed Californiaโ€™s election results, governorโ€™s race, congressional districts, vote counting, & what outcomes could mean statewide and nationally. ๐ŸŽงlaist.com/news/airtalk-nov-4โ€ฆ ๐Ÿ“บ foxreno.com/news/mornings-onโ€ฆ
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๐ŸŽ‰Big news for AI and society: @Cambridge_Uni's @CHIA_Cambridge & @Caltech's @CaltechLCSSP are expanding their collaboration to advance research in explainable AI, AI alignment, human-inspired AI, & opportunities for students and researchers. Learn more: chia.cam.ac.uk/news/cambridgโ€ฆ
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๐Ÿ“ฃNew research from @CaltechLCSSP's @RKocielnik & @rmichaelalvarez, @Caltech with coauthors @p_song1, @pengrui_han, Myrl G. Marmarelis, Ramit Debnath, & Dean Mobbs.๐Ÿง โš ๏ธ ๐Ÿ”—Website with paper link: psychology-of-ai.github.io/rโ€ฆ
New paper: "Representational Control over Self-Report & Behavior Coherence in LLM Risk-Taking" ๐ŸŽฏ ๐——๐—ผ ๐—Ÿ๐—Ÿ๐— ๐˜€ ๐—ต๐—ฎ๐˜ƒ๐—ฒ ๐—ฎ ๐—ฟ๐—ถ๐˜€๐—ธ-๐˜๐—ฎ๐—ธ๐—ถ๐—ป๐—ด ๐—ฑ๐—ถ๐˜€๐—ฝ๐—ผ๐˜€๐—ถ๐˜๐—ถ๐—ผ๐—ป ๐˜๐—ต๐—ฎ๐˜ ๐—ฐ๐—ผ๐—ต๐—ฒ๐—ฟ๐—ฒ๐—ป๐˜๐—น๐˜† ๐—ด๐˜‚๐—ถ๐—ฑ๐—ฒ๐˜€ ๐—ฏ๐—ผ๐˜๐—ต ๐˜๐—ต๐—ฒ๐—ถ๐—ฟ ๐˜€๐—ฒ๐—น๐—ณ-๐—ฟ๐—ฒ๐—ฝ๐—ผ๐—ฟ๐˜๐˜€ ๐—ฎ๐—ป๐—ฑ ๐˜๐—ต๐—ฒ๐—ถ๐—ฟ ๐—ฟ๐—ถ๐˜€๐—ธ๐˜† ๐—ฑ๐—ฒ๐—ฐ๐—ถ๐˜€๐—ถ๐—ผ๐—ป๐˜€? ๐—ง๐—Ÿ;๐——๐—ฅ ๐—ช๐—ต๐˜† ๐—ถ๐˜ ๐—บ๐—ฎ๐˜๐˜๐—ฒ๐—ฟ๐˜€: LLMs often say one thing about themselves and do another. In risk-taking the gap is costly: a clinical assistant or a trading agent can call itself cautious and still make risky decisions. ๐—ช๐—ต๐—ฎ๐˜ ๐˜„๐—ฒ ๐˜€๐—ต๐—ผ๐˜„: No shared disposition: inside the model, stated risk-taking and risky choices are represented separately. Task-specific instructions seem to move both, but through misleading shortcuts like producing larger numbers. ๐—ง๐—ต๐—ฒ ๐—ณ๐—ถ๐˜…: Steering internal representations of stated and enacted risk together makes what a model says match what it does, without retraining. ๐—ง๐—ต๐—ฒ ๐—ฑ๐—ฎ๐—ป๐—ด๐—ฒ๐—ฟ: The same mechanism can make a model say the opposite of what it does (report low risk while taking more, or the reverse), in every model we tested. ๐Ÿ“„ Paper: arxiv.org/abs/2610.04125 ๐ŸŒ Website: psychology-of-ai.github.io/rโ€ฆ w/ @p_song1 @pengrui_han @MyrlGMarmarelis, Ramit Debnath, Dean Mobbs, @rmichaelalvarez, @CaltechLCSSP and @Cambridge_Uni's Centre for Human-Inspired AI (CHIA) Technical details below ๐Ÿ‘‡ #AgenticAI #AISafety #AIAlignment #Interpretability #ActivationSteering
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๐Ÿ—ณ๏ธToday is Election Day! Democracy isn't something we watch, it's something we participate in. Every eligible voter deserves the chance to cast a ballot in elections that are: โš–๏ธ Fair โœ… Secure ๐Ÿ‘ฅ Accessible Whether voting in person or by mail, engagment matters.
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At @VotebeatUS's Oct 27 virtual event, @CaltechLCSSP's @rmichaelalvarez joined Bob Page and @aztammyp to discuss potential concerns and what voters can expect on Election Day. Thanks to host @JessicaHuseman for moderating! ๐Ÿ“บWatch the video: youtube.com/watch?v=cn8Qpdiaโ€ฆ
LAST CHANCE! Sign up to attend a free event with @JessicaHuseman, @aztammyp, @rmichaelalvarez, and Bob Page, registrar of voters for Orange County, California. link below โฌ‡๏ธ
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โœจA highlight of this week was @CaltechLCSSP Research Affiliate Ramit Debnath, @Cambridge_Uni & CHIA delivering the keynote at the #ClimateNLP workshop at #EMNLP2026 in Budapest.๐ŸŒ The presentation drew on a long-running collaboration between CHIA & @CaltechLCSSP.๐Ÿค๐Ÿ“š
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๐Ÿ—ณ๏ธ Why can the election lead change? โ˜‘๏ธ Check out the interactive web simulation from @CaltechLCSSP's @rmichaelalvarez, @Caltech built with synthetic data and based on research. ๐Ÿ“– Read: doi.org/10.1177/106591292110โ€ฆ ๐Ÿ–ฅ๏ธ Simulation: rmichaelalvarez.github.io/blโ€ฆ
Interested in learning more about why we see "blue shifts" and "red shifts" in post-election voting returns? Give our simulation a spin, it's based on published research with @yimenglipolisci and synthetic data. rmichaelalvarez.github.io/blโ€ฆ
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๐ŸŽ‰Congratulations to @CaltechLCSSP Board Member @HannahDruck & Prakash Mishra, @Caltech for launching the PERMIT Lab with a $7M gift from the WHH FOUNDATION to advance research at the intersection of environmental economics, AI, & sustainability. ๐ŸŒŽ๐Ÿง ๐ŸŒฑ Learn more below:
A new Caltech lab will soon inform environmental policy. The lab is being established through a $7 million infusion of funding from the WHH Foundation, a private family philanthropic organization. Read more: caltech.edu/about/news/7-milโ€ฆ
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There is still time to register for the Caltech Election Night Watch Party! ๐Ÿ“… November 3, 2026 ๐Ÿ•– 7:00 PM - 10:00 PM ๐Ÿ“ Avery Courtyard, Caltech Join fellow @Caltech community members and follow federal, state, & local election results together. ๐Ÿ”—forms.gle/fh4RV9QU2zUyxKK26
๐Ÿ“ฃ Registration is Open! Join the @Caltech Election Night Watch Party! ๐Ÿ—ณ๏ธ Follow federal, state, & local election results: ๐Ÿ“… Nov. 3, 2026 โฐ 7โ€“10 PM ๐Ÿ“ Avery Courtyard ๐Ÿ• Free food โ€ข ๐ŸŽฎ Games โœ… Register now: forms.gle/fh4RV9QU2zUyxKK26. ๐Ÿ”ด Nonpartisan
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๐ŸŽ‰ New publication in Environmental Research Letters! Analyzing 232 Chinese cities with explainable ML, @CaltechLCSSP's Ramit Debnath, @CHIA_Cambridge & coauthors identify pathways for cities to go from high- to low-carbon growth in 10 years.๐Ÿญ ๐ŸŒฑ ๐Ÿ”— iopscience.iop.org/article/1โ€ฆ
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๐ŸŽ‰Congratulations to @CaltechLCSSP Research Affiliate @AdamWierman, @Caltech (with Steven Low) on advancing innovative solutions to make the electrical grid more efficient, sustainable, & resilient. ๐Ÿขโšก Learn more about the gift that supports this: giving.caltech.edu/news/The-โ€ฆ
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๐Ÿ” AI Is Changing Political Campaigns, Even at the Local Level @CaltechLCSSP's @rmichaelalvarez, @Caltech says AI is on the rise in local races, even school board elections. Why? โœ… Affordable โœ… Accessible โœ… Convincing ๐Ÿ”—Learn more: youtube.com/watch?v=_lnW1GwGโ€ฆ
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Proud moment for the Alvarez Lab! ๐ŸŽ‰ Danielle Yang & Shyna Kashi presented their exceptional @Caltech SURF research.๐Ÿ‘ ๐ŸŒŸMany thanks to the @Caltech Student-Faculty Programs team, @rmichaelalvarez & @RaqCenteno for mentoring Shyna, & @CaltechLCSSP for providing support!
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๐ŸšจNew preprint from @CaltechLCSSP's @RaqCenteno & @rmichaelalvarez! Findings suggest confidence in elections is not distributed equally across the electorate and uncover persistent racial gaps in voter confidence. ๐Ÿ“– Read more: preprints.apsanet.org/engageโ€ฆ
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A genuinely impressive achievement by @CaltechLCSSP Research Affiliates, @DannyCEbanks, @IQSS & @Jonathan_N_Katz, @Caltech. A powerful resource for exploring 2026 midterm forecasts and historical election results, now accessible to all.๐Ÿ‘ gking.harvard.edu/electit/#oโ€ฆ
A few notes, we give you the chance to build your own forecast going back to 1946. If you think there is another polling error like in 2016, or want to see what the model would say in 1956, try all these possibilities, make your own modeling decisions, and see the numbers change!
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๐ŸŽ“๐Ÿค๐Ÿ—ณ๏ธ When academia & government work together, innovation follows! Learn about @CaltechLCSSP's @rmichaelalvarez, @Caltech & Bob Pageโ€™s team at the @OCRegistrar data-driven election administration research that delivers real-world impact.โœจ electionlab.mit.edu/articlesโ€ฆ
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