Trainees experience exclusive internships at national labs and industry partners, visits to partnering institutions, roundtables on advanced research topics, brief cross-track lab rotations, opportunities for research seed grants, retreats with technical tutorials and career advancing sessions, and more. Trainees can also take advantage of new human-sensing AI datasets.
Trainees conduct research in one of four research tracks, guided by experienced faculty mentors, while participating in cross-track activities. Visit the Research page for information about the research tracks: software, hardware, human-computer interaction, and cognitive models.
Trainees visit with partner institutions in a campus interview-like experience. The itinerary may include giving a research talks, meeting with administrators and/or faculty, interacting with diverse students, sharing about the NRT experience and Ph.D. student life, and a follow-up virtual meeting to circle back on visit connections.
Retreat with invited distinguished AI speakers, technical demos/tutorials on state-of-the-art topics in AI, career-advancement forums, and mentoring feedback on mid-way research reports. Example sessions include:
Panels discuss advanced topics such as trends in machine learning and emerging human-sensing AI, privacy preservation, or open problems in data collection techniques. A panel on grant writing and peer review prepares Trainees to submit seed grant project proposals.
Mentored experiences with sharing and releasing datasets created in AWARE-AI research tracks or other relevant projects, with an annual newsletter that provides up-to-date information on available data resources.
Annual Timeline of Activities
This material is based upon work supported by the National Science Foundation under Award No. DGE-2125362. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.