AAAI-MAKE 2022 • Spring

AAAI Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence
March 21–23, 2022 @ Stanford University, Palo Alto, California, USA

Join us…

… and work together on a combined machine learning and knowledge engineering based AI!

The AAAI-MAKE 2022 symposium aims to bring together researchers and practitioners from machine learning and knowledge engineering to reflect how combining the two fields can contribute to hybrid intelligence systems.


  • Machine Learning, Deep Learning, and Neural Networks
  • Knowledge Engineering, Representation, and Reasoning
  • Hybrid Intelligence and Human-in-the-Loop AI
  • Explainable AI
  • Commonsense AI
  • Hybrid AI
  • Enterprise AI
  • Conversational AI
  • Neuro-symbolic AI

AAAI-MAKE 2022: Format

AAAI-MAKE 2022 is part of the AAAI Spring Symposium Series, an annual set of meetings run in parallel held at Stanford University, Palo Alto, California, USA. It involves presentations of accepted position, full and short papers, side-tutorial events from industry, (panel) discussions, demonstrations, and plenary sessions to foster interaction and contribution among the participants.

The AAAI Spring Symposium Series «[…] is designed to bring colleagues together in an intimate forum while at the same time providing a significant gathering point for the AI community. The two and one half day format of the series allows participants to devote considerably more time to feedback and discussion than typical one-day workshops. It is an ideal venue for bringing together new communities in emerging fields.» (

March 21–23, 2022 @ Stanford University, Palo Alto, California, USA


The symposium involves presentations of accepted papers, side-tutorial events from industry, (panel) discussions, demonstrations and plenary sessions.

We solicit position/full papers and short papers that can include recent or ongoing research, business cases, application scenarios, and surveys. Use cases, application scenarios, and requirements from the industry would be highly beneficial and most welcome.

  • Position/full papers (10 to 16 pages) and short papers (5 to 9 pages) will be peer-reviewed by the program committee to ensure academic integrity.
  • Industrial side-tutorial event or demonstration proposals (less than 5 pages) should have a focus on business or research related to the symposium topics.
  • Discussion proposals (1 to 2 pages) should contain a description of the specific topic with a list of questions and a discussion moderator.

Since AAAI-MAKE is a dedicated symposium for combining machine learning and knowledge engineering, the contributions should address hybrid intelligence settings. All submissions must reflect the formatting instructions provided in the Author Kit and be submitted through EasyChair. Accepted papers shall be published on CEUR-WS, an established open-access proceedings site.

Important Dates

  • Submission due: 29th of November 2021 (extended)
  • Notification of authors: 5th of January 2022 (extended)
  • Registration: 18th of February 2022
  • Camera-ready: 18th of February 2022
  • Registration for non-authors (FCFS): 4th of March 2022
  • Symposium: 21-23 of March 2022

Organizing Committee

Hans-Georg Fill, University of Fribourg, Switzerland.

Aurona Gerber, University of Pretoria, South Africa.

Knut Hinkelmann (co-chair), FHNW University of Applied Sciences and Arts Northwestern Switzerland.

Doug Lenat, Cycorp, Inc., Austin, TX, USA.

Andreas Martin (co-chair), FHNW University of Applied Sciences and Arts Northwestern Switzerland.

Reinhard Stolle, Argo AI GmbH, München, Germany.

Frank van Harmelen, VU University, Amsterdam, Netherlands.