Student research seminar that provides insights for “what can be done with artificial intelligence“, Online via Teams and on-site in auditorium SOC-308 at Tallinn University of Technology (Taltech), Akadeemia tee 3, Tallinn, ESTONIA. Free of charge for authors and participants.
MS Teams link
Who should attend?
This seminar provides a good opportunity for students to present their work on AI, receive feedback and connect to others working in the field. Students from all fields, including non-technical fields are welcomed to present their works. We encourage those from interdisciplinary backgrounds to present their unique perspectives on AI. The seminar is planned with junior researchers, doctoral and graduate students in mind, but we also welcome presentations from undergraduate students and others.
Topics
We invite submissions that explore artificial intelligence systems in various forms and methods, implemented or experimental, across technological and organizational settings. The focus can be a narrow one – on the example of individual companies, machines or single devices/ software. The focus can also be a wide one – at AI in general. An AI-enabled system is a set of connected components that has been designed to fulfil a particular function without or with limited human input. The study can involve any technological or organizational systems. AI-enabled systems enhance the value of operations in any field of human activity.
The keywords include, but are not limited to: AI, applications, cognitive technologies, industry 4.0, robotics and automation, massive monitoring, Internet of Things (IoT), building systems, process management, autonomous vehicles, smart cities, personalized learning, ethics, human-AI interaction etc.
Call for papers (for student authors)
This seminar is calling for submissions of extended abstracts (2-5 pgs).
Download extended abstract template here
Type of work: When submitting your paper, mention in the email what category best fits your paper.
- Review paper – analysis of existing literature on a specific AI-related topic
- Concept or position paper – presentation of innovative ideas, theories, or positions
- Method paper – introduction of new methodologies, including novel approaches
- Technical paper – description of technical aspects, algorithms, or system designs; may be experimental work that involves testing and data analysis
- Feasibility or piloting study – Preliminary research exploring the viability of new AI technologies or applications.; may be examination of AI implementation in a specific real-world context.
Work in progress papers are also welcome.
Publication: all accepted papers will be included in seminar proceedings, published by Taltech Press and made available as open access on Digital Collection of TalTech Library. Digital Collection is part of the European e-theses portal DART-Europe, the Directory of Open Access Repositories OpenDOAR and the Estonian e-repository E-Varamu.
Presentations
Presentaions can be done either on-site or online (MS Teams). Presenters will have 10 min to present their work, followed by up to 5 min for questions and discussion.
Important dates
December 30, 2025 – deadline for extended abstracts (please send to organizers email below)
January 03, 2026 – registration deadline
January 03, 2026 – agenda announced at this website
January 05, 2026 – seminar day
Registration and participation
Registration and participation is free of charge, REGISTER HERE
Everybody is welcome to attend the event. Participation is possible online or on-site in School of Business and Governance, Tallinn University of Technology, Akadeemia tee 3, Tallinn. Online link will be provided to registered participants. Seminar language is English.
Agenda (to be updated)
(EET – Eastern European Time, Estonian time)
- 11:45 (EET) Opening word from the organizers
- 12:00 (EET) Session 1. Session keywords: AI language models
- (PAUSE)
- 13:45 (EET) Session 2 . Session keywords: AI in technical systems
- (PAUSE)
- 15:15 (EET) Session 3. Session keywords: AI in organizational systems
- ~16:00 (EET) End of the event
Organizers
Tarmo Koppel, organizing committee chair, lecturer, dept. of business administration of Tallinn University of Technology (Taltech)
Igor Krupenski, Department of Energy Technology, TalTech
Aleksandr Bosler, doctoral student, dept. of business administration of Taltech.
Contact us
Email: workshop(ät)aibus.eu
Tel.: +372 56560830
Address: Dept. of Business Administration, School of Business and Governance, Tallinn University of Technology (Taltech), Akadeemia tee 3, Tallinn 12611, ESTONIA
