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(e.g., economics, sociology, public health, archaeology, Social Science Data Center, etc.)
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Software
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Please select the statistical software package(s) you commonly use in courses, or that your students use for research you supervise: *
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Applicant statement of interest
In an essay of no more than three pages, please:
(i) Discuss the ways in which you have incorporated any aspects of research transparency and reproducibility in your teaching and/or supervision of student research, or how you envisage doing so in the future. Please describe the specific contexts in which in which you have, or could in the future, introduce your students to methods and issues related to transparency—e.g., particular courses you teach; cohorts of research advisees; or short courses or trainings you offer. Where applicable, please identify courses by title and course number, and indicate which term or semester you expect to offer them next.
PLEASE NOTE: Having already taken steps to introduce transparency and reproducibility into your teaching and advising is not a pre-requisite for this workshop.
(ii) Comment on how interested you are in interacting with a network of educators working to develop and disseminate methods and curriculum for integrating transparency and reproducibility in the training of students in quantitative fields of study. Have you been involved in any such activities in the past? Do you have any ideas about how you might contribute to such efforts in the future?
If you like, feel free to comment on any other aspects of your background or interests that you believe are relevant to the workshop.
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Supporting documents (optional)
If you like, you may upload up to three additional documents to provide further information about your background and interests. These documents could be of many types, but here are some examples: syllabi, handouts, or exercises from a course you have taught; a relevant article or blog post you have written; or a student research paper that was written under your supervision and exemplifies some aspect of research transparency.
For each document you upload, please provide a brief comment explaining what it is.
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Project TIER is supported by the Alfred P. Sloan Foundation
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