The HHAI 2024 Doctoral Consortium (DC) will take place as part of the 3rd International Conference on Hybrid Human-Artificial Intelligence in June 2024, Malmö, Sweden. This forum will provide early as well as middle/late-stage PhD students in the field of Hybrid Intelligence focusing on the study of Artificial intelligence systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence. The Doctoral Consortium will take place in person at the HHAI 2024 conference.
The DC provides an opportunity to present and discuss their doctoral research ideas and progress in a supportive, formative and yet critical environment and receive feedback from reviewers, mentors and peers from the field of Hybrid Intelligence. The doctoral consortium will also provide opportunities to network and build collaborations with other members of the HHAI community. We welcome submissions across research HHAI-related domains such as AI, HCI, cognitive and social sciences, philosophy & ethics, complex systems, and others (see “Topics of interest”).
The event is intended for early as well as middle/late-stage PhD candidates and asks them to formulate and submit a concrete PhD research proposal, preferably supported by some preliminary results. The proposal will be peer-reviewed. If accepted, students must register and physically attend the event, which will include a range of interactive activities. Details for the submission are found below under “Submission Details”.
Submission Deadline: February 19, 2024 (
January 12, 2024)
Reviews Released: March 18, 2024
Camera-ready Papers: April 18, 2024
Doctoral Consortium: June 11, 2024
All deadlines are 23:59 AoE (anywhere on Earth)
Topics of Interest
We invite research on different challenges in Hybrid Human-Artificial Intelligence. The following list of topics is illustrative, not exhaustive:
- Human-AI interaction and/or collaboration
- Adaptive human-AI co-learning and co-creation
- Learning, reasoning and planning with humans and machines in the loop
- User modelling and personalisation
- Integration of learning and reasoning
- Transparent, explainable and accountable AI
- Fair, ethical, responsible and trustworthy AI
- Societal awareness of AI
- Multimodal machine perception of real-world settings
- Social signal processing
- Representations learning for Communicative or Collaborative AI
- Symbolic and narrative-based representations for human-centric AI
- Role of Design and Compositionality of AI systems in Interpretable / Collaborative AI
All proposals must be submitted electronically via the EasyChair conference submission system: https://easychair.org/conferences/?conf=hhai2024. Each PhD student should provide the following information on Easychair:
- Research proposal (details below).
- Supplementary material: a maximum of 2-page PDF listing the following:
- Names and affiliations of your research supervisor(s).
- Dissertation status: When you began your PhD, and expected to complete it. Are there any constraints on the PhD duration from your institute? This part helps us better tailor feedback to a realistic timeline according to your program.
- Benefits statement: 1-2 paragraphs describing what you hope to gain by participating in the doctoral consortium. Highlight specific points where you require feedback.
- A personal statement citing three key papers in the field and briefly describing how they influenced the student’s work and how HHAI is defined in those works and the student’s research.
- List of the student’s relevant publications (if available).
Research Proposal Details
Students should submit a maximum of a 6-page description of their PhD research proposal. Papers should be written in English and adhere to IOS formatting guidelines. The limit of 6 pages is excluding references.
The papers should have a single author (the PhD candidate) and submissions are *not* anonymous. Supervisors, other involved persons, and funding agencies should be acknowledged in an Acknowledgements section.
Research proposals should contain the following elements:
- Context: The background and motivation for your research, including the related work that frames your research
- Research questions/challenges: what are the research questions/challenges that your dissertation addresses? Try to highlight how it differs from existing literature.
- Method/approach and evaluation: how is each of the research questions answered? How are results evaluated? If you are planning to conduct studies or build prototypes, provide a brief description.
- Preliminary results (if available). Highlight results and contribution to date and the timeplan for projected steps.
- Discussion and Future work: What are intermediary conclusions, and what are the planned next steps?
Upon Acceptance of the Doctoral Consortium Proposal
Accepted papers will be published in the main conference proceedings of the Third International Conference on Hybrid Human-Machine Intelligence, in the Frontiers in AI and Applications (FAIA) series by IOS Press. Authors will have the opportunity to opt-out from being included in these proceedings, with only their proposal title being mentioned on the web page.
Participants will be expected to give short, informal presentations of their work during the consortium, to be followed by a discussion.
In case there are any questions regarding the call, or if you are unsure about submitting your work to the HHAI 2024 Doctoral Consortium, please reach out to email@example.com
Passant El.Agroudy (DFKI, DE)
Michiel van der Meer (Leiden University, NL)
Harko Verhagen (Stockholm University, SE)