247 research outputs found

    The Endgame of Court-Packing

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    At several points in history, politicians and commentators have proposed adding seats to the Supreme Court to accomplish partisan ends. We explore the incentives for a political party to initiate “court-packing” and what the Supreme Court would look like in a world where political parties engage in repeated partisan court- packing. To do so, we use an Agent-Based Model and different data sources to calibrate the behaviors of Presidents, Congresses, and Supreme Court justices. We then simulate the future composition of the Court in worlds with and without court-packing. The simulations suggest that a political party with an initial minority of seats on the Court would meaningfully increase the share of years it controls the Court if it were to initiate a cycle of repeated court-packing, especially early on. However, although the number of seats would likely quadruple within 100 years, the simulations suggest there would be only a modest expansion during the likely time horizons of politicians who initiate court-packing. By putting structure on what the Supreme Court would look like in a world with and without court- packing, we hope to generate more careful reflection on the incentives to court- pack and the potential consequences of it

    Modeling protein complexes using restraints from Crosslinking Mass Spectrometry

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    Modeling macromolecular assemblies with restraints from crosslinking mass spectrometry (XL-MS) tends to focus solely on distance violation. Recently, we identified three different modeling features inherent in crosslink data: (1) expected distance between crosslinked residues; (2) violation of the crosslinker's maximum bound; and (3) solvent accessibility of crosslinked residues. Here, we implement these features in a scoring function. cMNXL, and demonstrate that it outperforms the commonlyused crosslink distance violation. We compare the different methods of calculating the distance between crosslinked residues, which shows no significant change in performance when using Euclidean distance compared with the solvent-accessible surface distance. Finally, we create a combined score that incorporates information from 3D electron microscopy maps as well as crosslinking. This achieves, on average, better results than either information type alone and demonstrates the potential of integrative modeling with XL-MS and low-resolution cryoelectron microscopy

    The Legal Academy\u27s Ideological Uniformity

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    We study the ideological balance of the legal academy and compare it with the ideology of the legal profession more broadly. To do so, we match professors listed in the Association of American Law Schools’ Directory of Law Teachers and lawyers listed in the Martindale-Hubbell directory to a measure of political ideology based on political donations. We find that 15 percent of law professors, compared with 35 percent of lawyers, are conservative. This may not simply be due to differences in their backgrounds: the legal academy is still 11 percentage points more liberal than the legal profession after controlling for several relevant individual characteristics. We argue that law professors’ ideological uniformity marginalizes them but that it may not be possible to improve the ideological balance of the legal academy without sacrificing other values
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