标题： 可以生成式人工智能提高学术表现吗？ 来自社会科学和行为科学的证据 显示英文标题

标题： Can GenAI Improve Academic Performance? Evidence from the Social and Behavioral Sciences

摘要： 本文评估了生成式人工智能（GenAI）采用对社会科学和行为科学领域科研产出和质量的影响。 使用匹配的作者层面面板数据和差异双重设计，我们发现GenAI的采用与研究产出的显著增加相关，产出量通过发表论文的数量来衡量。 此外，根据期刊影响因子，它还带来了适度的出版质量提升。 这些影响在早期职业研究人员、从事技术复杂子领域的作者以及非英语国家的作者中最为明显。 结果表明，GenAI工具可能有助于降低学术出版中的一些结构性障碍，并促进更包容的研究参与。 显示英文摘要

摘要： This paper estimates the effect of Generative AI (GenAI) adoption on scientific productivity and quality in the social and behavioral sciences. Using matched author-level panel data and a difference-in-differences design, we find that GenAI adoption is associated with sizable increases in research productivity, measured by the number of published papers. It also leads to moderate gains in publication quality, based on journal impact factors. These effects are most pronounced among early-career researchers, authors working in technically complex subfields, and those from non-English-speaking countries. The results suggest that GenAI tools may help lower some structural barriers in academic publishing and promote more inclusive participation in research.