Welcome to a workshop aimed for you who work with public transport and are curious about or have thoughts on how AI can provide opportunities.
Time: September 23 at 1-4 pm
Location: K2 at Bruksgatan 8 in Lund
In a research project at K2, 54 research articles on Artificial Intelligence (AI) and public transport have been identified, studied and classified according to a framework. At this workshop the result will be presented to foster elaboration on AI in a Swedish context. The presentation includes information about:
application areas/problems addressed
benefits and potentials
Further, our impressions of areas where AI appears to make a difference (from an international view) in public transport will be presented.
The aim of the workshop is to gain understanding about AI in public transport concerning potential and hindrances as well as to identify the most relevant knowledge gaps with focus on the Swedish context.
The program looks as follows:
13.00-13.10 Welcome and introduction (Jan Persson)
13.10-14.00 Presentation of the review (Åse Jevinger, Chunli Zhao and Paul Davidsson)
14.20-15.45 Workshop (mainly in sub-groups) with discussion points:
Are the review findings applicable for the Swedish context: e.g., are there similar areas within PT that have potentials to be improved by AI?
Which areas have the greatest opportunities to be improved by AI in Sweden? How and why?
What are the hindrances (e.g. information needs etc.) from a Swedish context to achieve the potential?
What knowledge gaps are most relevant to addressed?
15.45 – 16.00 Summing up
The workshop is free of charge, please sign up no later than September 17.
Online participation will be possible for the presentation of the review (at 13.00 - 14.00). In case of online participation, we might contact you afterwards for your potential input.
Sign up here
If you have any questions about the workshop, please feel free to contact any of the organizers.
Jan Persson, from K2 and Malmö University
Paul Davidsson, from K2 and Malmö University
Åse Jevinger, from K2 and Malmö University
Chunli Zhao, from K2 and Lund University