Call for Diversity and Inclusion Activities

Diversity and Inclusion Activities


Participation in AI (including Autonomous Agents and Multiagent Systems) by groups that are underrepresented in computer science is a fraction of what is needed to have an AI workforce that reflects the diversity in society. Diversity has many facets, including race, ethnicity, gender, age, religion, disability, sexual orientation, socioeconomic status, and cultural background.


We would like to invite submissions of proposals for activities that will help broaden participation in the AI (including Autonomous Agents and Multiagent Systems) field. Activities can range from meetings for specific groups, to panels, workshops to discuss the situation and propose changes, reports on outreach activities, and more.


Important Dates 

  • Submission Deadline: Rolling submissions will be processed until April 1, 2022.

  • Submission Notification: Rolling notification.

Submission Procedure

The proposals should be short (2 pages, pdf) and should address the following:  

  1. What activity is proposed and its specific objectives
  2. Who will be the chair of the activity
  3. What is the target audience (academics, industry, graduate students, undergraduate students, etc)
  4. What is expected number of participants
  5. Duration of the proposed activity (1/2 day, 1 day, 2 hours, etc)
  6. Will the activity be by invitation only or will it need an open call for participation/registration/submission, and what is the expected timeline (call out, deadline, notification)
  7. Funding needed (if any) and potential sources of funding
  8. Advertisement strategy: how will the event be advertised on mailing lists and social media?
  9. Willingness of online event organization: AAMAS 2022 may be held online. Please describe your plan for conducting a virtual only event.

 Each proposal should be submitted electronically as a single PDF file via emails to all co-chairs ( and

For any questions, please contact the co-chairs of the diversity and inclusion activities.


Hau Chan (University of Nebraska-Lincoln, USA)

Long Tran-Thanh (University of Warwick, UK)