Dear colleagues,
Please see the announcement below for the Bayes BATS program. While the PI's note the program is geared towards STEM faculty, they also value interdisciplinary perspectives and encourage political scientists and policy scholars focused on quantitative methodology (especially Bayesian methods) to apply.
Questions can be directed to Monika Hu at [log in to unmask]<mailto:[log in to unmask]>.
Best,
Stefani


Application for the Bayes BATS <https://urldefense.com/v3/__https:/www.stat.uci.edu/bayes-bats/__;!!NCZxaNi9jForCP_SxBKJCA!SARl36Ibox6w-9oFWpKeZLHyBdIFaBepY1nSdgULZjCGkXaKR3MSQD9fAmjfbl9pGlZ3mqAdqlEn75TzSps3tg$> program is now open at this link<https://urldefense.com/v3/__https:/forms.gle/GQ5i8VeD7QSQo7hU6__;!!NCZxaNi9jForCP_SxBKJCA!SARl36Ibox6w-9oFWpKeZLHyBdIFaBepY1nSdgULZjCGkXaKR3MSQD9fAmjfbl9pGlZ3mqAdqlEn75TsI8jmoQ$>.



BATS is a three-tiered program geared at STEM educators who would like to incorporate Bayesian thinking and methods into their own disciplinary courses.  Funded by the National Science Foundation, up to 20 attendees, who will be US citizens and permanent residents from diverse scholarly backgrounds<https://urldefense.com/v3/__https:/www.nsf.gov/about/research_areas.jsp__;!!CzAuKJ42GuquVTTmVmPViYEvSg!NC_lJmnyZi8TDYugpqYP79OCrZlaoF2tN7YFJZ0BcQAYRQsHuYlyhhz-7YFwAFQlhiu2ARyZWMIWlw$> and educational environments, will spend July 15-19, 2024 at Vassar College in an instructor-training bootcamp. In the second tier of the program, roughly 10 attendees will spend Fall 2024 developing teaching and learning materials for their courses with the support of the BATS PIs. In the third tier, selected instructors will receive support to disseminate their teaching and learning materials through conferences and publications. Prior exposure to Bayesian statistical methods is not required.



Program objectives include increasing the number of undergraduate students exposed to Bayesian methods, enhancing the capacity of STEM instructors to include Bayesian materials in their teaching, and the development of teaching and learning materials that showcase use of Bayesian methods in STEM.  More details can be found at the BATS website<https://urldefense.com/v3/__https:/www.stat.uci.edu/bayes-bats/__;!!NCZxaNi9jForCP_SxBKJCA!SARl36Ibox6w-9oFWpKeZLHyBdIFaBepY1nSdgULZjCGkXaKR3MSQD9fAmjfbl9pGlZ3mqAdqlEn75TzSps3tg$>.



We welcome STEM faculty members of all career stages who have interest in incorporating Bayesian methods in their classes at all undergraduate levels. Instructors at minority serving institutions are particularly encouraged to apply. Due to funding restrictions, only US citizens and permanent residents are eligible.



Interested applicants are asked to complete a short Google Form application<https://urldefense.com/v3/__https:/forms.gle/GQ5i8VeD7QSQo7hU6__;!!NCZxaNi9jForCP_SxBKJCA!SARl36Ibox6w-9oFWpKeZLHyBdIFaBepY1nSdgULZjCGkXaKR3MSQD9fAmjfbl9pGlZ3mqAdqlEn75TsI8jmoQ$> (sign-in required) describing their educational background and interests.  Applications are due February 15, 2024.


Stefani Langehennig, PhD
Assistant Professor of the Practice
Co-Director, Center for Analytics and Innovation with Data (CAID)
Department of Business Information & Analytics
Daniels College of Business
University of Denver
Website: https://steflangehennig.github.io/



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