Welcome to AAAI Undergraduate Consortium!

Information about all things related to AAAI-UC

AAAI-22 UC @ the AAAI site
Return to the main AAAI Undergraduate Consortium page

AAAI 2022 main site
Thirty-Sixth AAAI Conference on Artificial Intelligence
February 22 - March 1, 2022

AAAI-22 Undergraduate Consortium

Program Details

The AAAI Undergraduate Consortium (AAAI-UC) aims to broaden participation in the AI research community of students from historically marginalized groups and those who may otherwise not attend a top research conference by supporting them with mentorship, advising, and networking as an accelerator toward their pursuit of graduate school, AI research, and a scientific identity.

The Undergraduate Consortium hosted at the 2022 AAAI Conference on Artificial Intelligence (AAAI-22) will offer undergraduate students an opportunity to enrich their conference experience by:

Each accepted student receives a matched faculty mentor, complimentary conference registration, and a travel scholarship. Accepted students are expected to:

All undergraduates registered for AAAI-22, regardless of whether they are accepted to the UC, are invited to attend the day-of UC talks and panel sessions.
For reference, the schedule of events and activities from the 2021 AAAI-UC is available here.

Target Audience

The primary goal of the program is to broaden participation in AI research through mentorship and support for the conference experience. We especially encourage applications from students who identify with groups that computing has traditionally underserved and also students who have limited resources related to AI research and graduate school at their home institutions.

The target audience for the AAAI-UC is actively-enrolled undergraduate students (working toward their first post-secondary degree) who:

Undergraduate students who are interested in publication, scholarships and volunteering, but not explicitly in mentorship, are invited to explore these additional opportunities:

Students who are not actively-enrolled undergraduate students or have already graduated from their undergraduate program as of the UC application deadline are not eligible for the Undergraduate Consortium. Graduate students interested in mentorship opportunities are strongly encouraged to consider the AAAI Doctoral Consortium.

Important Dates

After decisions are announced, students accepted to the UC will be paired with mentors and will then have additional deadlines (TBA), to coordinate logistics.

Application Instructions

Applications must be submitted in full via the submission portal (https://cmt3.research.microsoft.com/AAAIUC2022/) by 11:59:59pm UTC-12 (Anywhere on Earth) on the stated deadline date. Application materials should not be anonymized. Please also see the AAAI 2022 UC site.

1. Personal Statement

The AAAI UC personal statement is inspired by NSF’s Graduate Research Fellowship Program. We hope that constructing a thoughtful personal statement and receiving feedback from AI professionals will be helpful for your future graduate school and fellowship applications.

Prepare a 2-3 page personal statement that discusses both (1) your journey towards an AI research career (so far!) and (2) your specific role and contributions in the AI project you presented in your Research Summary (see 2. AI Research Summary, below). Please structure your statement however you would like, but include answers to the following questions.

Your journey towards an AI research career:

Your specific role and contributions in the AI project:

Please be specific in your answers. Details can help readers understand and appreciate your interests, experiences, and contributions in the context of AI research.


Personal statements must be written using the NSF GRFP statement formatting guidelines, which require standard 8.5”x 11” page size, Times New Roman font for all text, no smaller than 11-point, except text that is part of an image, 1” margins on all sides, and no less than single spacing (approximately 6 lines per inch).

2. AI Research Summary

Submit a 2-page extended abstract that summarizes a significant AI project in which you have been involved, including the research questions investigated, some important related work, the significance of your work, and possible future directions. Please be mindful of the following:

The research summary MUST be at most 2 pages, including references, in AAAI 2-column format, using the AAAI-22 Author Kit (Also see Formatting, immediately below). Yes, this is tricky to do — but learning how to produce a concise statement of your research interests is very important!


Your AI Research Summary must be written using the AAAI-22 Author Kit.

Advisor’s Supplementary Information Form

A request will be emailed to an advisor of your choice who can speak towards your AI research interests and abilities, asking them to provide supplementary information about you. They will be asked short questions about your contributions to the research described in the summary; your progress through your undergrad program; and how your advisor believes you can contribute to, and benefit from, participating in the UC. The advisor you select to receive the Supplementary Information form should be a faculty member, post-doc, or professional researcher with a graduate degree who can speak to all of these points.

When selecting an advisor, your best option is likely the first person you’d ask to write a graduate school or fellowship letter of recommendation. The advisor does not necessarily need to be from your home institution, nor do they necessarily need to have supervised the project you decide to write about. You should work with your advisor to provide them with any necessary supplementary information.

Advisor supplementary information forms will be sent out shortly after the application submission deadline, and they are expected to be completed within a week. No letters of recommendation will be accepted.

Review Process

Applications will be reviewed according to the following criteria: clarity and completeness of submission packet; stage of progress through undergraduate degree program; evidence of significant personal contributions to an AI research project; assessment of distinctive benefit from UC participation and mentorship, in support of continuing in post-graduate AI research; and assessment of contributions to others participating in the UC.


Support for the 2022 Undergraduate Consortium is graciously provided by AAAI, with additional support generously provided by the Artificial Intelligence Journal and National Science Foundation (DUE 1946637).


Many thanks to the AAAI22-UC Mentors: Diego Aguirre (University of Texas at El Paso), Maria Gini (University of Minnesota), Brent Harrison (University of Kentucky), Elias Khalil (University of Toronto), Sven Koenig (University of Southern California), Zachary Lipton (Carnegie Mellon University), Jorge Ortiz (Rutgers University), Anita Raja (Hunter College, CUNY), Suvrit Sra (Massachusetts Institute of Technology), Amanda Stent (Colby College), Peter Stone (University of Texas at Austin and Sony AI), Devika Subramanian (Rice University), Tom Williams (Colorado School of Mines), and Yuqian Zhang (Rutgers University).

AAAI22-UC Committees & Leadership

Undergraduate Consortium Co-Chairs


Program Committee Co-Chairs

Sub-Committee Chairs

Graduate Student Fellows

Organizing Committee

Program Committee

Thanks also to our full Program Committee!

For more information about past AAAI-UC events, please visit: https://aaai-uc.github.io/