『The Science of Politics』のカバーアート

The Science of Politics

The Science of Politics

著者: Niskanen Center
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概要

The Niskanen Center’s The Science of Politics podcast features up-and-coming researchers delivering fresh insights on the big trends driving American politics today. Get beyond punditry to data-driven understanding of today’s Washington with host and political scientist Matt Grossmann. Each 30-45-minute episode covers two new cutting-edge studies and interviews two researchers. We welcome your thoughts on this episode and the podcast as a whole. Please send feedback or suggestions to scienceofpolitics@niskanencenter.orgAll rights reserved 政治・政府
エピソード
  • What Predicts Midterm Election Results?
    2026/03/04
    The 2026 election will decide who controls the House and Senate for the duration of Trump's presidency. Trump's approval is low and public opinion is moving against his policy ideas. The historical pattern suggests Democrats are on the way to big congressional gains. Carlos Algara studies 80 years of high-frequency data on generic ballot polls and election results. Presidential approval and the ideological direction of public opinion consistently predict congressional vote choices. Like this year, both usually move against the president in midterms. Neither economic statistics and perceptions nor the degree of partisan competition matters independently of those patterns. Generic ballot polls reliably predict seat gains, though a lot more for the House than the Senate.
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    56 分
  • Legislators are raising money instead of making policy
    2026/02/18
    Legislators spend considerable time dialing for dollars to support their party, even if they themselves are not in electoral danger. That helps them move up the party leadership ladder, but does not help them achieve their policy goals. Michael Kistner finds that when legislators spend a lot of time raising money, they spend less making policy. By rewarding fundraising, parties miss out on both diverse leaders and effective legislators. But states that reform their campaign finance system are able to make more landmark policies.
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    1 時間 1 分
  • Can AI ‘vibe research’ replace social science?
    2026/02/04
    AI tool improvement is compounding fast enough for researchers to start using tools like Claude Code for real social science tasks. What are the early lessons from using AI to conduct research? Will it just mean more slop papers and slop reviewers? Or will it lower barriers to exploration, replication, and robustness, with findings accumulating and spreading faster? Andy Hall designed and executed an extension of his research paper with AI in an hour. He's now compared his results to an extension by hand and created a tool to allow readers to make their own design choices. We discuss the early evidence on how AI has changed research output and quality. The future of research is coming fast.
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    1 時間 5 分
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