Dear colleagues, Apologies for cross-posting. This summer (6/12 - 6/16) I am offering a new short/intensive workshop on Recent Advances in Network Analysis in the ICPSR Summer Program. I am including the workshop description, along with a link to the tentative syllabus, below. Space is still available, and only 2 weeks of early pricing remains (through May 1). Register here <https://umich-dot-yamm-track.appspot.com/2dwgq7TmPQIFyR6nwgTAiIX00xqN-z31ALFhzJfBFslaSLhp8hwEHYjpMfV5nARq-hPic2kC6RoOCV6raTgh-ZnXOWsREOT73JFE-q9O6PIYgqRQ-blcuLvGBllwlbypMgNOnCylGqDa-rSFqrXA6S9KKLO1hpqyMIWd1bB8VuYfogcgSE-q53QIeU2u2A87s1sCaA4ICa_JJJ3nlW5XQkhTLUWXSvtkzsDDGRbJU>. Keyword search my and other Workshops, including several others on network analysis, and their descriptions here <https://umich-dot-yamm-track.appspot.com/2nrFbPUCZPK8KBI9hKxdcQJTx0HlXL7uxN8rAPWC_tB-WLhp8hwHozyo4t4Qk5aXxzqJ6WneryW_Ub_v7plt-dGif7wgbreiCMvtaOTnPomvMtLDQPnQpmKc8CHXCyqAGjMJ6ZRx1QH0G4wRT0rnGie_vuqV8PGpiP3L3j7tpZBBCx5QcMsC1QqkzlzHagyIJ5jtRYxVyil6qkkM3UxT3fNYP1TsUHTi2Ve0yry0vgXxw6GFhRVtJKFF4oAzfSU9cm08yCgGBsgl71MLQW9SHx3u3Hi80ttE>. See a list of available discounts <https://umich-dot-yamm-track.appspot.com/2vDkksS524dvpNgjU4DU__7w79CSIjOY2pJooji7lDUCeLhp8hwEN8-UpAoWNM0YIv5V-CSyN7bWdUkOMh5kWCpFu_XKSGLmyXgok9JvBC4LwBTsvITGe0jm17q4ZOqNKVgEeAUB_K5bhjDu8VIFkiiuHm73dp65Fk68NlcjAWN3iBhnqP2bZMxMQbovOYDPs_woBG-taqTSUIZZdT4jQjEMMP_ikYmE1lM2cyianOzGvtQ-ZK97Lo9UQzbmB3WWJCQguO26CcdaQrmMKhctf-gLQToNaaw> (at the bottom of the page), including the generous Group Discount: coordinate with friends & colleagues in your department/institution! Description: Network analysis is growing rapidly, with important advances occurring each year, and in many disciplines. In this course we will cover major developments that have occurred over the last 5-10 years. Our major areas of focus will include causal inference and experimentation; measurement and missing data; and machine learning and prediction. We will spend a day or two on each of these topics. Each day will include a conceptual lecture, discussion of published application examples, tutorials that involve open source software and real-world data, and some time to discuss and work on individual projects and/or topics that are not listed on the course syllabus. Participants with previous exposure to network analysis will get the most from this course, but the content will be presented in a way that is accessible to anyone with an intermediate background in applied statistics. Tentative 2023 Syllabus <https://custom.cvent.com/20B21B22E235478DB8E401FD67B8AAC7/files/event/1f46bd104a364469a9541d9dfe9ca5a8/b07260cffdbf40a3b7018c4d0e3e15ae.pdf> Please do be in touch with any questions. -Bruce ---- Bruce A. Desmarais (he/him) DeGrandis-McCourtney Early Career Professor in Political Science Director, Graduate Programs in Social Data Analytics Director, Center for Social Data Analytics Co-Hire, Institute for Computational and Data Sciences Pennsylvania State University brucedesmarais.com ************************************************************** Political Methodology E-Mail List Editors: Dominique Lockett and Gechun Lin <[log in to unmask]> ************************************************************** Send messages to [log in to unmask] To join the list, cancel your subscription, or modify your subscription settings visit: https://www.cambridge.org/core/membership/spm/mailing-list **************************************************************
