Doctoral Consortium

The HHAI 2027 Doctoral Consortium (DC) will take place as part of the 6th International Conference on Hybrid Human-Artificial Intelligence in June 2027, in Oulu, Finland.

This forum will provide an opportunity for 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 2027 conference.

The DC provides an opportunity to present and discuss doctoral research ideas and progress in a supportive, formative and yet critical environment, and to receive feedback from reviewers, mentors and peers in 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 HHAI-related research domains such as AI, HCI, cognitive and social sciences, philosophy & ethics, complex systems, and others (see “Topics”).

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 attend the event in person, which will include a range of interactive activities, including presentations and mentoring lunch. Submission details can be found below under “Submission Details”.

Important dates

Submission deadline
February 5, 2027
Reviews Releseased
March 22, 2027
Camera-ready Papers
April 8, 2027

All deadlines are 23:59 AoE (anywhere on Earth)

Topics

Topics include, but are not limited to:
  • Human-AI interaction, interpretation, collaboration, and complementarity
  • Adaptive human-AI co-learning and co-creation
  • Human-AI co-evolution
  • Learning, reasoning and planning with humans and machines in the loop
  • Human cognition-aware AI and foundation models
  • User modelling and personalisation
  • Multimodal and social human-AI interaction
  • Transparent, explainable, and accountable AI
  • Fair, ethical, responsible, and trustworthy AI
  • Reliability and robustness in human-AI systems
  • Meaningful human agency and control over AI
  • Human values, well-being, safety, and quality of life
  • Societal awareness and understanding of AI
  • Law, policy, and governance of human-centered AI
  • Applications and real-world use cases of Hybrid Intelligence
  • Hybrid Intelligence in organizations, communities, and society

Contributions are invited from the fields of AI, HCI, cognitive and social sciences, philosophy and ethics, law and policy, design, complex systems, and related fields.

Submission Details

All proposals must be submitted electronically via the EasyChair conference submission system. Each PhD student should provide the following information on EasyChair:

  1. Research proposal (details below).
  2. Supplementary material: a maximum of 2-page PDF listing the following:
    1. Names and affiliations of your research supervisor(s).
    2. Dissertation status: When you began your PhD, and when you expect 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 programme.
    3. Benefits statement: 1–2 paragraphs describing what you hope to gain by participating in the doctoral consortium. Highlight specific points where you require feedback.
    4. 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.
    5. List of the student’s relevant publications (if available).
Submit via Easychair

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 the IOS formatting guidelines. The 6-page limit excludes 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 contributions to date and the timeline 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 Fifth 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 of 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.