Izobražujemo najboljši pedagoški kader
Pridružite se študijskim programov, ki jih kot edina fakulteta v Sloveniji izvajamo za vse ravni šolskega sistema.
5. 3. 2024
Spoštovani,
posredujemo vam vabilo na mesečni seminar izbranih EUTOPIA-SIF raziskovalcev, ki bo potekal v četrtek, 7. marca 2024 ob 13.00 na ZOOM-u (povezava: https://cyu-fr.zoom.us/j/98471347838?pwd=SEw0aUhQQmp5OGpoT3BvWnhsSTdEUT09). Spremljanje vsebine seminarja omogoča dober vpogled v mednarodne raziskovalne aktivnosti, ki potekajo pod okriljem zveze EUTOPIA. Program je na voljo spodaj.
Vljudno vabljeni vsi raziskovalci, pedagogi in tudi strokovni sodelavci, ki bi jih predstavljene tematike lahko zanimale.
Within the framework of the EUTOPIA Science and Innovation Fellowship Programme we are delighted to invite you to the to the EUTOPIA-SIF Monthly Fellow Seminar, which will take place on Thursday, 7 March 2024 at 13.00 pm.
The seminar will be held on Zoom: https://cyu-fr.zoom.us/j/98471347838?pwd=SEw0aUhQQmp5OGpoT3BvWnhsSTdEUT09
Event Schedule:
| 13:00 – 13:05 | Introduction | |
| Cohort 2 (2022-2024) | ||
| 13:05 – 13:15 | Fellow Presentation | |
| Speaker | Nena Papavero (University of Pompeu Fabra Barcelona) | |
| Project Title | Moving Moms App (MoMS): From research to practice | |
| Abstract | As the fellowship nears its conclusion, this presentation will provide insights into the research findings from fieldwork conducted with service providers and refugees in the Mediterranean region during the first year. The project has now transitioned into its second, application phase. In this phase, as a participant in the pre-incubation stage at the Singa Association (external secondment), the fellow is developing concrete steps to actualize the digital platform. During the presentation, we will highlight the differences between the roles of a researcher and that of an app (or business?) developer, including what it concretely means to develop a product based on research, to collaborate with different stakeholders while remaining loyal to the research ethics and research participants/beneficiaries in question. We will discuss the skills required to transition between these roles, as well as the advantages, challenges, and opportunities that expanding research results beyond academic circles might entail. | |
| 13:15 – 13:20 | Q&A | |
| Cohort 3 (2023-2025) | ||
| 13:20 – 13:40 | Fellow Presentation | |
| Speaker | Marta Giuca (CY Cergy Paris University) | |
| Project Title | Artificial Negligence and Human Criminal Liability (CRIM-AI) | |
| Abstract | AI systems bring fundamental changes to our environments, some of which have an impact on criminal liability, due to the shift from the classic notion of “product”. Existing criminal liability rules may not always protect the legal interests, which may lead to a “responsibility gap”. The research project aims to answer the fundamental question concerning the relationship between law and technological progress in order to guarantee the safeguarding of fundamental rights and values under criminal law in the light of the European principles for a trustworthy AI. The field of investigation is the negligence of the person “behind the machine” in case of an algorithmic error, defined as “artificial negligence”. In such a context, the project seeks to identify areas of legislative intervention, balancing the need for the safeguards of legal goods, on the one hand, and the respect of the principles of individual responsibility and legality under criminal law, on the other hand. | |
| 13:40 – 13:45 | Q&A | |
| 13:45 – 14:05 | Fellow Presentation | |
| Speaker | Cristian Jimenez-Romero (CY Cergy Paris University) | |
| Project Title | Incremental Evolution in Self-Organized Robotic Swarms Controlled by Spiking Neural Networks | |
| Abstract | In this research, we extend the principles of self-coordination and communication observed in ant colony simulations to a practical application involving a swarm of flying drones tasked with firefighting. The core of our approach lies in the application of evolutionary algorithms to optimize a Spiking Neural Network (SNN) for each drone within the swarm, enabling autonomous decision-making capabilities. The primary mission assigned to the drone swarm is to collaboratively extinguish fires by identifying hotspots and efficiently distributing water or fire retardants. To achieve this, we iteratively enhance the complexity of the neural architecture and the expected functionality at each timestep through an incremental evolutionary process. This method allows drones to learn and adapt their strategies for navigation, communication, and firefighting over time. A significant milestone in this research is the emergence of sophisticated communication strategies among the drones, akin to the pheromone-based communication observed in ants. This emergent communication enables drones to signal the location of fires to others, coordinate water distribution, and optimize flight paths without any pre-programmed instructions. Notably, these communication mechanisms develop naturally as a result of the evolutionary optimization of the SNN, without direct human intervention. Our findings suggest a promising avenue for deploying intelligent drone swarms in critical applications beyond firefighting, leveraging the power of evolutionary algorithms and SNNs to tackle challenges that require collective intelligence and adaptability. | |
| 14:05 – 14:30 | Q&A | |
Looking forward to your participation.
Kind regards,
| EUTOPIA-SIF Science and Innovation Fellowships
https://eutopia-university.eu/ Univerza v Ljubljani / University of Ljubljana Kongresni trg 12, SI-1000 Ljubljana, Slovenija |
