NSF Methods Training Institute in advanced quantitative methods for research in STEM education

[Ken Frank]

I am part of a team that will be teaching an NSF training institute focusing on advanced quantitative methods for research in STEM education. Our aim is to help cultivate new, diverse leadership in methodology. The focus is on post-docs and early- and mid-career faculty who are engaged in quantitative research in STEM education and who seek to do work on the cutting edge in areas such as causal inference, multilevel analysis, social networks, and computation for large-scale data. We'll recruit 22 fellows who will receive training each summer at the University of Chicago with continuous mentoring and collaboration during the year aimed to produce peer-reviewed publications.

PI’s: Guanglei Hong (University of Chicago), Stephen Raudenbush (University of Chicago), Kenneth Frank (Michigan State), Kaitlin Torphy (Michigan State), Jiliang Tang (Michigan State)

For more information: https://voices.uchicago.edu/nsf-siarm/

Those who are interested in this NSF fellowship should complete our Expression of Interest form on our website https://apply-grad.uchicago.edu/register/SIARMforSTEM.

Ken Frank 

[Sunil Mithas]

Dear Ken

This looks very interesting-- I am not sure if I am mid-career or not (completed PhD in 2005) but I would love to learn the methodological skills that the program may offer and I am already doing some work looking at impact of STEM education so methods can be immediately applied if I get an opportunity. Pls let me know if should apply--I have attached my CV for determining if I qualify on prima facie grounds. Best, 

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