This summer, the Student Experience Research Network and the University of Texas at Austin’s Population Research Center, with generous support from the Bezos Family Foundation, released a call for applications for a year-long early career fellowship. The fellowship is designed to support early career scholars to leverage new data from the National Study of Learning Mindsets (NSLM) to advance science in education, publish articles in peer-reviewed journals, and build a community of interdisciplinary colleagues.
We are proud to announce that 13 emerging scholars have been selected to receive fellowships, all of whom have proposed novel research questions and innovative projects using the NSLM dataset. They represent the fields of computer science, economics, education policy, psychology, quantitative methods, and statistics. With diverse methodological approaches and intentional opportunities for collaboration, these scholars are well-positioned to deepen our collective understanding of learning mindsets.
The fellowships officially began with an Orientation and Data Camp Kickoff on September 12-13th at the UT Population Research Center in Austin, Texas. The fellows gave excellent presentations about their projects, received feedback from peers and consultants, and got to know each other. Over the course of the year, they will receive financial and technical support and mentoring to complete their proposed research projects. Along with an academic manuscript, each fellow will produce a summary of findings for the policy and practice community.
On our Early Career Fellowship page, you can find additional information about the fellows and their projects.
Pictured above, from left to right in the back row: Nigel Bosch, Nicole Sorhagen, Michael Broda, Nicholas Buttrick, Alexander Browman, and Soobin Kim. In the front row: Maithreyi Gopalan, Manyu Li, Eunjin Seo, Jazmin Brown-Iannuzzi, Alison Koenka, and Guillaume Basse. Not pictured: Xu Qin.
tags: mindset research