学术讲座资讯
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// 讲座信息 Outline
讲座主题：人工智能、机器学习与社会科学研究
Topic: AI, Machine Learning, and the Impact on Social Science Research
讲座时间：2024年4月12日（周五）19:00-21:00（北京时间）
Time: 19:00-21:00 (UTC+8), 12 April 2024 (Friday)
主讲嘉宾：杰夫·吉尔教授 （Prof. Jeff Gill）， Political Analysis期刊主编，政治学方法国际学会前主席，美利坚大学政府系和数学与统计学系杰出教授
Speaker: Prof. Jeff Gill, Editor-in-Chief of the journal Political Analysis, inaugural Fellow and past-President of the Society for Political Methodology, distinguished Professor of Government and of Mathematics & Statistics at American University, USA
主持人：庞珣教授，北京大学国际关系学院教授、北京大学全球风险政治分析实验室主任、Political Analysis期刊副主编
Host: Prof. Xun Pang, Professor in School of International Studies at PKU, Director of PKU Analytics Lab for Global Risk Politics, and Associate Editor of Political Analysis
讲座语言：英文
Language: English
讲座形式：线上ZOOM会议（会议链接将通过邮件发送给成功报名的听众）
Format: ZOOM online meeting (the link will be sent via email to successfully registered attendees)
报名方式：请于2024年4月8日（周一）12:00前扫描二维码或点击“阅读原文”填写问卷。ZOOM会议链接将通过邮件发送给报名成功的参会者（完整填写问卷并填写希望向嘉宾提出的问题将提高报名的成功率）。
Registration: Please scan the QR code or click "Read More" for registration before 12:00 PM, 8 April 2024 (Monday). Zoom link will be sent to pre-registered attendees via email (completion of all the survey questions especially the question-raising will increase the chance of successful pre-registration).
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// 讲座提要和嘉宾简介
讲座提要
Outline of the Talk
历史上还没有哪个时代像今天一样，机器对人类生活产生如此根本性的影响。 个人生活和社会运转的几乎每个方面都受到来自数据收集、数据分析、机器学习和人工智能的影响。本次讲座将聚焦于特定种类的人工智能，讨论社会科学研究人员如何最大限度地利用这些现代工具来进行数据搜集和处理。 讲座涵盖当前用于收集、保护、聚合、处理、表征和解释数据的一系列方法和技术，并讨论政策制定者如何使用这些数据和工具（例如开源、地理空间和现场信息）、以及人工智能用于社会科会研究数据工作所需关注的基本伦理问题。
There has never been a time when machines have affected human life like the current era. Almost every facet of individuals and society are affected by data collection, data analysis, machine learning, and artificial intelligence. This talk is about specific AI tools, data collection in the 21st century, and how social science researchers can maximally take advantage of the wide array of modern tools. This includes an overview of current methods and technology used for collecting, protecting, aggregating, processing, representing, and interpreting data, how policymakers can use data tools (such as open source, geospatial, and in-situ information), and basic ethical standards behind data collection and use.
嘉宾简介
Bio of the Speaker
杰夫·吉尔（Jeff Gill）教授是《政治分析》期刊现任主编、政治方法论国际学会首任会士和前任主席、美利坚大学政府和数学与统计学杰出教授。 他还是神经科学和行为研究中心的成员，也是 SPA 数据科学中心的首任主任，吉尔教授领导的中心为美利坚大学全校的教师和研究生提供研究支持，协调和支持整个校园的实证研究。构建基础设施来处理大型且复杂的数据集。他的研究将贝叶斯建模和数据分析（决策理论、测试、模型选择、引出先验）应用于大量重要场景，使用计算密集型工具（蒙特卡洛方法、MCMC、随机优化、非参数）来推动社会科学定量方法研究、政治行为和政治制度研究、医疗/健康数据分析（特别是生理学、循环/血液、儿科创伤性脑损伤）中的问题以及流行病学测量/数据问题。吉尔教授的研究成果发表在多个学科的顶级期刊上，如《柳叶刀·神经病学》、《皇家统计学会杂志》、《美国统计协会杂志》等等。
Jeff Gill, Editor-in-Chief of the journal Political Analysis, inaugural Fellow and past-President of the Society for Political Methodology, distinguished Professor of Government and of Mathematics & Statistics. He is also a member of the Center for Neuroscience and Behavior and the inaugural Director at SPA's Center for Data Science, where he coordinates and supports empirical research across the campus, providing research support to faculty and graduate students, and building infrastructure to handle large and complex datasets. His research applies Bayesian modeling and data analysis (decision theory, testing, model selection, elicited priors) to questions in general social science quantitative methodology, political behavior and institutions, medical/health data analysis especially physiology, circulation/blood, pediatric traumatic brain injury, and epidemiological measurement/data issues, using computationally intensive tools (Monte Carlo methods, MCMC, stochastic optimization, non-parametrics). Prof. Gill's research appears in leading journals in multiple disciplines, including Lancet–Neurology,Journal of the Royal Statistical Society, Journal of the American Statistical Association, Mathematics, and many others.
编辑：王远航
审校：庞 珣
