The Center for Integrative Research in Computing and Learning Sciences CIRCLS supports the Research on Emerging Technology for Teaching and Learning (RETTL) program at the National Science Foundation (NSF). The Artificial Intelligence community in CIRCLS (AI CIRCLS) will be hosting a series of mock review panels in 2023 aimed at providing community members with more experience with reviewing NSF grant proposals related to emerging educational technologies (see awarded RETTL projects). Researchers will come together across disciplines to connect with others who have similar interests and to practice providing constructive critique on specific grant proposals. They will discuss broader themes related to emerging ideas in AI and edtech, and converge on ways to best communicate such ideas. This effort will serve to identify elements that generate strong proposals for submission to NSF.
Each review panel will involve a single 3-hour long session (designed to be a standalone event) and will require participants to read 2 grant proposals and draft reviews prior to the sessions. Sessions will involve opportunities for networking and general discussion on themes related to emerging educational technology. AI CIRCLS will facilitate professional development prior to starting the panels and a reflection session after all panels are done.
There will also be a Fellows tier which will afford more professional development and the synthesis and dissemination of ideas emerging from panel discussion. Fellows will be PhD candidates or early career scholars with disciplinary expertise in an area related to technology or learning who would be excited to engage in a more sustained way with the review process. Priority will be given to individuals who are not yet affiliated with the RETTL community, and a stipend will be awarded for participation.
Check this page for updates on the status of this initiative and for more information about the application process! AI CIRCLS encourages applications from anyone interested in participating, including PhD candidates, academics who are not at R1 institutions, those from HBCUs or MSIs, and those from industry or the non-profit sector.
Researchers who identify as members of historically underrepresented groups in STEM are strongly encouraged to participate and apply.