FUNDING PROGRAM

The Applied AI Institute offers annual funding programs meant to advance its strategic directions and accelerate interdisciplinary research on AI at Concordia University.

Applications are now closed for 2023. Please check back or subscribe to the Applied AI Institute newsletter to learn about the next application period.

Funding Programs

We have offered the following funding programs:

1. Matching Funding

   1. Approximately $25k available, up to $5K per call, for applied artificial intelligence research projects. 
   2. We encourage early career researchers to apply and will prioritize funding projects evenly across the four faculty.
   3. Successful applicants commit to public engagement through a workshop, seminar, poster session, or other kind of event.

2. Working Group Funding

   1. Approximately $45k available, up to $10k per call for inter-cluster and cluster-based working groups centered around a theme related to applied AI. This might be Art and AI, Life-sciences and AI, or other variations our members propose.
   2. We will provide up to 5k of funding for each working group. In addition, we will provide $1k honorariums each for 3-5 graduate students who will participate in the projects of the working group.
   3. Successful applicants commit to public engagement through a workshop, seminar, poster session, or other kind of event.

3. 2022 AI Auditing Seed Funding

   1. Seed Projects (approximately $25k available) meant to accelerate research into the assessment, development, and auditing of AI systems including, but not limited to, identifying and auditing high-risk AI systems. Potential research projects may include: designing novel methods of algorithmic assessment; developing safe, ethical and trustable AI systems; and, innovative means to explain AI systems to better public knowledge and accountability.

How to Apply

Expressions of intent for all applications must include:

1. A one-page statement about the proposed research or grant application that includes: 
   • A summary of the research program for a non-specialist audience;
   • A statement on how your team composition and program of research advances AI2’s strategic directions, with particular emphasis on how you address equity, justice, and structural barriers to participation;
   • Evidence of past research success and capacity to undertake current research; and, 
   • Possibilities for future collaborations or grant applications. 
2. In the case of funding matching, a description of the granting program and when you expect to be notified of your results 
3. A list of collaborations with their academic affiliations.
4. A one-page preliminary budget statement. 
5. An up-to-date CV of the Principal Investigator and key collaborators.

Evaluation Criteria

Applications will be ranked based by the Operating Committee using the following criteria:

Interdisciplinarity of team

Describe how your team advances interdisciplinary collaboration, inviting members from at least two faculties (e.g. Arts and Science, Management, Engineering).

Potential for new collaboration / new grants

Identify potential opportunities and next steps for research grant applications and/or new academic partnerships.

Feasibility

Highlight past research accomplishments and capacity to undertake the proposed program of research

Fit with AI2 guiding principles.

Describe how the research program meaningfully responds to public interest, demonstrating a commitment to principles of equity and justice. Additionally, explain how you have addressed barriers that could prevent participation from underrepresented groups.

Applied AI Institute Guiding Principles

• Engaged leadership caring for AI’s community and consequences;
• Distributed research that considers collaboration, mutual aid, and academic freedom as key drivers of success;
• Equity and justice acknowledging that bias is structural as well as statistical;
• Inter-disciplinarity in theory and practice, knowing that data is social and technical;
• Public interest to ensure AI improves, not entrenches, the status quo