Submissions (Call for papers)
Important dates
Paper submission: 5 June – 5 October, 2025
Acceptance decision: 20 October, 2025
Camera-ready: 12 November, 2025
Conference dates: 11 December, 2025
No Registration Fees
The organisers of 13th MIDI Conference decided that the conference will be available free of charge for both presenting and non-presenting participants.
Best Paper Award
The organizers decided that this year the Professor Krzysztof Marasek Best Paper Award will be given to two articles selected by the committee (one from the Machine Intelligence category and one from the Digital Interaction category) from among the articles that receive the highest reviews.
How to prepare your paper
The minimum page size for full papers is six pages and the maximum is eight, including references, appendices, acknowledgements and any other materials. Papers over eight pages in length will not be published in the conference proceedings.
Short papers may be submitted between four and six pages, with the same conditions as full-length papers. Short papers exceeding six pages will not be published in the conference proceedings. All accepted authors, regardless of the mode of presentation, are welcome to prepare papers for the conference proceedings.
When preparing your paper please use the following template:
You can find the templates in Word and Latex formats here: Templates in Word and Latex formats
How to submit your papers
All papers for the 13th MIDI Conference should be submitted using the Easy Chair conference system.
All submitted papers will be peer-reviewed by at least two independent referees from the MIDI programme committee. All work should be submitted via the MIDI submission page.
Special sessions
Special session 1:
Title: Precision and Computational Psychiatry – The Future of Individualised Mental Health
Proposers: Dr. Anna Szczegielniak
Medical University of Silesia, Poland
Dr. Jakub Mozaryn
Warsaw University of Technology, Faculty of Mechatronics, Poland
The proposed special session will focus on the transformative role of precision psychiatry and computational methods in advancing mental health care. As the field moves beyond traditional, symptom-based classifications, there is a growing emphasis on integrating multi-domain data—ranging from genetics and neuroimaging to cognitive and psychosocial factors—to identify unique clinical phenotypes and tailor interventions to each individual. This session highlights how computational psychiatry bridges translational research and clinical practice, enabling more accurate prevention, diagnosis, and treatment of mental disorders.
Participants will explore the latest computational models and artificial intelligence techniques reshaping psychiatric research and clinical workflows. From biophysically realistic neural networks to reinforcement learning, probabilistic modelling, and natural language processing, these technologies are unlocking new possibilities for understanding and managing mental health conditions. The session will also address the practical challenges of implementing these tools in real-world settings, emphasizing the need for ecologically valid models and seamless clinical integration.
Ethical and social considerations will be a central theme, with discussions on privacy, data security, algorithmic bias, and the transparency of AI-driven decision-making. The session will encourage the development of open science frameworks, best practices, and guidelines to ensure that advances in computational psychiatry are accessible, equitable, and trustworthy for diverse populations.
This session will foster interdisciplinary dialogue and collaboration by bringing together researchers, clinicians, engineers, and policymakers. Attendees will gain insights into the current state and future directions of precision psychiatry, including identifying reliable biomarkers, integrating big data analytics, and responsible deployment of digital mental health solutions.
This session will provide a comprehensive overview of how precision and computational psychiatry shape the future of individualised mental health care, offering conceptual foundations and practical pathways for innovation and impact.
Topics of interest include, but are not limited to:
1. Data-driven personalisation in mental health diagnosis and treatment
2. Biophysically realistic neural network models for simulating brain function
3. Algorithmic reinforcement learning in psychiatric analysis
4. Probabilistic and Bayesian modelling for predicting mental states
5. Natural language processing and large language models in clinical psychiatry
6. Integration of multi-modal data (genetics, neuroimaging, behaviour)
7. Identification and validation of digital biomarkers for mental health
8. Clinical implementation challenges and solutions for computational tools
9. Ethical, privacy, and bias considerations in AI-driven psychiatry
10. Open science, replicability, and best practice frameworks for digital mental health
We invite researchers, clinicians, engineers, and policymakers to participate and actively contribute to this session. Your insights and experiences will be invaluable in advancing the field of precision and computational psychiatry toward more individualized, data-driven mental health care.
Special session 2:
Title: Cognitive Smart Cities – Shaping the Urban Future
Proposers: Dr. Jakub Mozaryn
Warsaw University of Technology, Faculty of Mechatronics, Poland
Cognitive smart cities are rapidly redefining how urban environments function, blending artificial intelligence, advanced analytics, and pervasive connectivity to create cities that respond to challenges and anticipate and proactively address the evolving needs of their residents. As urban populations grow and sustainability becomes a critical concern, integrating cognitive technologies is emerging as a cornerstone for building adaptive, efficient, and resilient urban spaces. Global projects such as NEOM’s The Line and Abu Dhabi’s Aion Sentia, exemplify the transformative potential of cognitive technologies in city planning and daily life.
This special session will convene thought leaders, researchers, and practitioners to explore the latest advancements and real-world applications in cognitive city development. Discussions will span from AI-driven urban management and personalised citizen services to the design of sustainable, carbon-neutral infrastructures.
A central focus will be balancing automation and human agency, addressing how cognitive systems can enhance urban experiences without compromising privacy, trust, or inclusivity. The session will also examine governance frameworks, ethical considerations, and the importance of public engagement to ensure that technological progress aligns with societal values and needs.
By fostering interdisciplinary dialogue and showcasing innovative solutions, this session aims to inspire new collaborations and chart a path forward for the next generation of cognitive smart cities. Participants will gain insights into both the opportunities and challenges of implementing cognitive technologies, equipping them to contribute to creating intelligent, sustainable, and truly citizen-centric urban environments.
Topics of interest include, but are not limited to:
1. AI-powered urban management and predictive analytics
2. Personalized and anticipatory citizen services
3. Privacy, trust, and ethical governance in cognitive cities
4. Sustainable and carbon-neutral urban design
5. Integration of digital assistants and multimodal interfaces
6. Human-in-the-loop systems and citizen engagement
7. Distributed intelligence: edge and fog computing in urban infrastructure
8. Interoperable platforms and open standards for smart cities
9. Balancing automation with human agency and inclusivity
10. Case studies of global cognitive city initiatives and lessons learned
We invite researchers, practitioners, designers, engineers, and policymakers to participate and actively contribute to this session.