BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//scienceofintelligence.de - ECPv6.15.12.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:scienceofintelligence.de
X-ORIGINAL-URL:https://www.scienceofintelligence.de
X-WR-CALDESC:Events for scienceofintelligence.de
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241016T193000
DTEND;TZID=Europe/Berlin:20241016T210000
DTSTAMP:20260403T212855
CREATED:20240917T101834Z
LAST-MODIFIED:20250603T124757Z
UID:22321-1729107000-1729112400@www.scienceofintelligence.de
SUMMARY:Berlin Brains – Restless Gaze\, Stable Vision: SCIoI Members Martin Rolfs and Nina Hanning @Zeiss Grand Planetarium Berlin
DESCRIPTION:Live Event at Zeiss-Großplanetarium (Zeiss Grand Planetarium)\, Berlin with SCIoI memebers Martin Rolfs and Nina Hanning\, titled “Restless gaze\, stable vision: The camera work of our eyes.” \nAbout:\nOur eyes are restless; they constantly orient themselves toward new aspects of the environment. If they were cameras\, the recorded film would be dizzying. And yet our perception is continuous and stable. How does this work? And what does the gaze reveal about hidden attention processes in the brain? Martin Rolfs and Nina Hanning demonstrate how they measure these processes in humans and model their contribution to perception and behavior. \nThis event is organized by the Stiftung Planetarium Berlin. It will take place in German. \nFind more information on the event here. \n© Designed by Freepik
URL:https://www.scienceofintelligence.de/event/berlin-brains-restless-gaze-stable-vision-scioi-members-martin-rolfs-and-nina-hanning-zeiss-grand-planetarium-berlin/
LOCATION:Zeiss-Großplanetarium\, Prenzlauer Allee 80\, 10405 Berlin
CATEGORIES:External Event
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/09/Rolfs_Hanning_Planetarium_Title_pic-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241017
DTEND;VALUE=DATE:20241020
DTSTAMP:20260403T212855
CREATED:20240729T124714Z
LAST-MODIFIED:20240926T162253Z
UID:21224-1729123200-1729382399@www.scienceofintelligence.de
SUMMARY:Oliver Brock at TED AI Vienna 2024
DESCRIPTION:SCIoI spokesperson Oliver Brock will give a talk about artificial intelligence (AI) in Vienna (Austria)\, where\, for the first time\, a TED series of talks will be hosted\, to foster the understanding of AI innovation. \nWant to join or get more information? Click here.
URL:https://www.scienceofintelligence.de/event/oliver-brock-at-ted-ai-vienna-2024/
CATEGORIES:External Event
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/07/Screenshot-2024-09-04-at-13.45.25.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241017T160000
DTEND;TZID=Europe/Berlin:20241017T173000
DTSTAMP:20260403T212855
CREATED:20230802T122436Z
LAST-MODIFIED:20241010T111559Z
UID:16307-1729180800-1729186200@www.scienceofintelligence.de
SUMMARY:Jörg Raisch (Science of Intelligence)\, "Efficient and Privacy-Preserving Consensus in Multi-Agent Systems"
DESCRIPTION:Achieving consensus\, i.e.\, agreeing on objectives and on relevant aspects of the environment\, is a prerequisite whenever a group of individuals (“agents”) attempt to cooperatively solve a task. This requires information exchange between agents. In technical scenarios\, information exchange is via wireless communication channels\, which exhibit interference. Standard implementations aim at avoiding interference by resorting to multiplexing. However\, the resulting algorithms scale poorly with the number of agents and are inherently non-privacy preserving. We will discuss an alternative approach that\, by exploiting the wireless channel’s superposition property\, improves efficiency and preserves privacy. Results will be illustrated with examples from traffic automation\, such as automatic lane changing and distributed automation of traffic intersections for autonomous vehicles.\n\n\nThe reported results are based on joint work with F. Molinari\, S. Stanczak\, N. Agrawal\, and A. Grapentin (all TU Berlin)\n\n  \nThis talk will take place in person at SCIoI (room 2.057). \n 
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-jorg-raisch-2/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/08/raisch_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241022T160000
DTEND;TZID=Europe/Berlin:20241022T173000
DTSTAMP:20260403T212855
CREATED:20241015T142554Z
LAST-MODIFIED:20250603T124739Z
UID:22437-1729612800-1729618200@www.scienceofintelligence.de
SUMMARY:Heiko Hamann (Uni Konstanz\, SCIoI)\, “Introduction to Collective Robotics: A Formal Approach”
DESCRIPTION:Heiko Hamann is a roboticist with focus on collective systems. With his group he studies distributed robotics\, machine learning for robotics\, and bio-hybrid systems. In his collaboration with SCIoI member Pawel Romanczuk he investigates collective intelligence and especially the swarm robotics aspects of “Speed-accuracy tradeoffs in distributed collective decision making.” \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \nThis talk will be broadcasted live to the SCIoI premises under the following Link.
URL:https://www.scienceofintelligence.de/event/heiko-hamann-uni-konstanz-scioi-introduction-to-collective-robotics-a-formal-approach/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/05/hamann-heiko.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241029T160000
DTEND;TZID=Europe/Berlin:20241029T180000
DTSTAMP:20260403T212855
CREATED:20241022T090526Z
LAST-MODIFIED:20250603T124716Z
UID:22449-1730217600-1730224800@www.scienceofintelligence.de
SUMMARY:Alan Winfield (UWE Bristol)\, “Ethics in Collective Robotics”
DESCRIPTION:Alan Winfield is Professor of Electronic Engineering and Director of the Science Communication Unit at the University of the West of England\, Bristol. He conducts research in swarm robotics in the Bristol Robotics Laboratory and is especially interested in robots as working models of life\, evolution\, intelligence\, and culture. Alan is passionate about communicating science and technology. He holds an EPSRC Senior Media Fellowship with the theme Intelligent Robots in Science and Society\, and blogs about robots\, open science and related topics at his blog. Alan is a leading expert in robot ethics and cognitive robotics. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \nThis talk will take place in person at SCIoI and will be available as a live stream.
URL:https://www.scienceofintelligence.de/event/alan-winfield-uwe-bristol-ethics-in-collective-robotics/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/Alan_Winfield_Talk_Poster-e1729779182919.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241031T100000
DTEND;TZID=Europe/Berlin:20241031T110000
DTSTAMP:20260403T212855
CREATED:20241002T101830Z
LAST-MODIFIED:20250603T124704Z
UID:22386-1730368800-1730372400@www.scienceofintelligence.de
SUMMARY:POSTPONED: Anita Keshmirian (Forward College\, Berlin)\, “Many Minds\, Diverging Morals: Human Groups vs. AI in Moral Decision-Making”
DESCRIPTION:Abstract \n“Moral judgments are inherently social\, shaped by interactions with others in everyday life. Despite this\, psychological research has rarely examined the impact of social interactions on these judgments. In our study\, we explored the role of group dynamics in moral decision making by having small groups (4-5 participants) evaluate moral dilemmas first individually\, then collectively\, and finally individually a second time. Participants judged real-life and sacrificial moral dilemmas involving actions or inactions violating moral principles to benefit the greater good. Experiment 1 found that collective judgments were more utilitarian than individual judgments\, supporting the hypothesis that group deliberation temporarily reduces the emotional burden of violating moral norms. Experiment 2 measured participants’ state anxiety and moral judgments before\, during\, and after online interactions. Results again showed that collectives were more utilitarian\, reducing state anxiety during and after social interaction\, suggesting that stress reduction may explain the shift toward utilitarianism in group settings. \nWe replicated this experiment using multi-agent large language models (LLMs) to test how artificial agents make moral decisions. Preliminary findings revealed that\, unlike humans\, groups of LLM agents were less utilitarian than individual agents. Analysis of the agents’ interactions showed a consistent pattern of virtue-signaling\, with LLMs emphasizing deontological reasoning (focusing on moral rules) rather than utilitarian principles. This divergence from human behavior suggests that collective reasoning in AI systems is shaped by different dynamics\, likely due to how LLMs are trained to prioritize socially accepted norms. These results highlight important differences in moral decision-making between human and artificial intelligence\, offering new insights into the development of AI systems that more closely mirror human ethical reasoning\, particularly in complex\, real-world collective decision-making scenarios.” \nImage credit: ©SCIoI/ generated with DALL-E
URL:https://www.scienceofintelligence.de/event/anita-keshmirian-forward-college-berlin-many-minds-diverging-morals-human-groups-vs-ai-in-moral-decision-making/
LOCATION:Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/TMT_Image_creativity_artificial2-e1727864193669.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241105T160000
DTEND;TZID=Europe/Berlin:20241105T180000
DTSTAMP:20260403T212855
CREATED:20241030T143652Z
LAST-MODIFIED:20250603T124652Z
UID:22527-1730822400-1730829600@www.scienceofintelligence.de
SUMMARY:POSTPONED: Karoline Wiesner (University of Potsdam)\, “Introduction to Complexity Science: Part I”
DESCRIPTION:Karoline Wiesner has been a Professor of Complexity Science at the Institute for Physics and Astronomy since 2021 and also serves as an external professor at the Complexity Science Hub Vienna. She earned her Ph.D. in Physics at Uppsala University and spent her postdoctoral years at the Santa Fe Institute in New Mexico and the University of California in Davis. At the University of Bristol\, UK\, she held positions as Assistant and later Associate Professor\, as well as being a visiting professor at Lund University\, the Niels Bohr Institute in Copenhagen\, and the Potsdam Institute for Climate Impact Research. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \nThis talk will take place in person at SCIoI and will be available as a live stream. \n\nImage created with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/karoline-wiesner-potsdam-university-introduction-to-complexity-science-part-i/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/Mohsen_Complexity_Science.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241107
DTEND;VALUE=DATE:20241111
DTSTAMP:20260403T212855
CREATED:20241104T115121Z
LAST-MODIFIED:20250603T124642Z
UID:22610-1730937600-1731283199@www.scienceofintelligence.de
SUMMARY:20th Conference of the Gesellschaft Für Ichthyologie (GfI)
DESCRIPTION:The 20th conference of the Gesellschaft für Ichthyologie (GfI) e.V.  is intended to provide a diverse insight into research with and about fish\, but also to give interested hobbyists a chance to speak. It will cover a diverse range of topics\, including Evolution\, Collective Behavior\, Fish Ecology\, Fish Communities\, Animal Welfare\, and poster presentations. \nFind the official website here. \nKey note Speakers\nDr. Alicia Burns (Humboldt Universität zu Berlin und Excellence Cluster “Science of Intelligence”)\nDr. Félicie Dhellemmes (Technische Universität zu Berlin und Excellence Cluster “Science of Intelligence”)\nDr. Antonia Groneberg (Charité Berlin)\nDr. Ulrike Scherer (Humboldt Universität zu Berlin und Excellence Cluster “Science of Intelligence”)\nDr. Carolin Sommer-Trembo (Universität Basel)
URL:https://www.scienceofintelligence.de/event/20th-conference-of-the-gesellschaft-fur-ichthyologie-gfi/
LOCATION:Bernstein Center for Computational Neuroscience Berlin\, Philippstraße 13/Haus 6\, 10115 Berlin
CATEGORIES:External Event
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/11/Amazon_mollies_Bierbach_1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241107T193000
DTEND;TZID=Europe/Berlin:20241107T213000
DTSTAMP:20260403T212855
CREATED:20241022T092642Z
LAST-MODIFIED:20241028T113613Z
UID:22453-1731007800-1731015000@www.scienceofintelligence.de
SUMMARY:Berlin Science Week: Science Slam of the Berlin Clusters of Excellence
DESCRIPTION:Slammin’ like there’s no tomorrow – at our cluster science slam\, researchers try everything to entertain their audience\, regardless of whether the subject is e.g. mathematics\, neuroscience or active material. The sky is the limit when it comes to what’s possible. Costumes\, props\, movies\, power-point presentations or other experimental setups – it is all allowed. Only time sets the limits – every slammer will have six minutes at most. And the audience will decide which presentation is best! \nA Hitchhiker’s Guide to Social Robots\nAnna Lange (SCIoI)\nHow to Get Rid of your Potential\nGregor Pasemann (MATH+)\nBuilding Blocks of the Fourth Dimension\nChun-Sheng Hsueh (MATH+)\nFrom Awe to Wonder – Designing Nature Inspired Materials\nHeidi Jalkh (Matters of Activity)\nExploring Epilepsy in the Human Brain: a Travel to Nowhere\nAlice Podestà (NeuroCure)\nMedical Progress in Three Acts\nNils von Wardenburg (NeuroCure)\nDo you feel comfortable? Reacting\, reflecting\, and challenging our socio-political world \nRoberta Astolfi (SCRIPTS)\nFrank’s Casket – Thinking with and through the Box\nAndrew James Johnston (Temporal Communities)\nTeaming up with ”Ancient Guardians of Earth”\nTamanna Manjur Ahamad (UniSysCat)\nLighting up the Brain\nAlina Pushkarev (UniSysCat) \nModeration: Jochen Müller \nVisit the event at the Berlin Science Week.
URL:https://www.scienceofintelligence.de/event/berlin-science-week-science-slam-of-the-berlin-clusters-of-excellence/
LOCATION:Roadrunner’s Paradise Saarbrücker Str. 24 10405 Berlin Germany
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/ScienceSlam2024_Sharepic-intagram-q-e1729779128264.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241112T160000
DTEND;TZID=Europe/Berlin:20241112T180000
DTSTAMP:20260403T212855
CREATED:20241030T144317Z
LAST-MODIFIED:20250603T124629Z
UID:22533-1731427200-1731434400@www.scienceofintelligence.de
SUMMARY:Pawel Romanczuk (Science of Intelligence)\, “Introduction to Complexity Science: Part II”
DESCRIPTION:Pawel Romanczuk holds a professorship on Complexity Research in Adaptive Systems at HU. For SCIoI\, he works at the interface of applied mathematics\, theoretical physics\, and behavioral biology. He focuses on collective behavior of organismic systems. His research bridges analytical and synthetic sciences to study self-organization\, evolutionary adaptations\, and functional dynamical behavior. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \nThis talk will take place in person at SCIoI and will be available as a live stream.
URL:https://www.scienceofintelligence.de/event/pawel-romanczuk-science-of-intelligence-introduction-to-complexity-science-part-ii/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/05/Pawel-Romanczuk-Copyright-SCIoI-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241114T160000
DTEND;TZID=Europe/Berlin:20241114T173000
DTSTAMP:20260403T212855
CREATED:20230802T122827Z
LAST-MODIFIED:20241028T113245Z
UID:16313-1731600000-1731605400@www.scienceofintelligence.de
SUMMARY:POSTPONED - Olaf Hellwich (Science of Intelligence)
DESCRIPTION:More details to follow.\n\n\nThis talk will take place in person at SCIoI (room 2.057). \n  \n 
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-olaf-hellwich-3/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/08/hellwich_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241115T140000
DTEND;TZID=Europe/Berlin:20241115T153000
DTSTAMP:20260403T212855
CREATED:20241024T140828Z
LAST-MODIFIED:20250603T124613Z
UID:22483-1731679200-1731684600@www.scienceofintelligence.de
SUMMARY:Sylvain Calinon (IDIAP\, EPFL)\, “Frugal Learning of Manipulation Skills in Robotics”
DESCRIPTION:Many applications in robotics would benefit from robots being able to learn manipulation skills from only few demonstrations or trials. This contrasts with the ongoing trend in machine learning of constantly increasing the amount of data required to learn tasks. The main challenge of acquiring manipulation skills from limited training data is to find inductive biases and representations that can be used in a wide range of tasks\, which requires us to advance on several fronts\, including data structures and geometric structures. As example of data structures\, I will discuss the use of tensor factorization techniques that can be used in global optimization problems to efficiently extract and compress information\, while providing diverse human-guided learning capabilities (imitation and environment scaffolding). As examples of geometric structures\, I will discuss the use of Riemannian geometry and geometric algebra in robotics\, where prior knowledge about the physical world can be embedded within the representations of skills and associated learning algorithms. \nSylvain Calinon is a Senior Research Scientist at the Idiap Research Institute and a Lecturer at the Ecole Polytechnique Fédérale de Lausanne (EPFL). He heads the Robot Learning & Interaction group at Idiap\, with expertise in human-robot collaboration\, robot learning from demonstration and model-based optimization. The approaches developed in his group can be applied to a wide range of applications requiring manipulation skills\, with robots that are either close to us (assistive and industrial robots)\, parts of us (prosthetics and exoskeletons)\, or far away from us (shared control and teleoperation). \nThis talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning\,” which explores how advances in machine learning are helping robots operate in new environments\, learn new behaviors\, and adapt to changing conditions. \nThe event will take place in person and is available on Zoom. \nImage generated with DALL-E by Maria Ott. \n 
URL:https://www.scienceofintelligence.de/event/sylvain-calinon-idiap-epfl-frugal-learning-of-manipulation-skills-in-robotics/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/manipulation-e1729782264342.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241119T160000
DTEND;TZID=Europe/Berlin:20241119T180000
DTSTAMP:20260403T212855
CREATED:20241030T145327Z
LAST-MODIFIED:20250603T124603Z
UID:22535-1732032000-1732039200@www.scienceofintelligence.de
SUMMARY:Mohsen Raoufi (Science of Intelligence)\, “Crash Course on Network Science”
DESCRIPTION:Mohsen is a doctoral researcher at SCIoI\, working on Project 27\, Speed-Accuracy Tradeoffs in Collective Estimation. His research explores the role of networks in shaping collective opinion dynamics. \nIn this lecture\, he will provide an overview of network science with a focus on its applications in collective robotics. He will cover basic topics in graph theory and show how a network science perspective can help our understanding of collective robotics. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering.
URL:https://www.scienceofintelligence.de/event/mohsen-raoufi-science-of-intelligence-crash-course-on-network-science/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/05/raoufi-mohsen.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241126T160000
DTEND;TZID=Europe/Berlin:20241126T180000
DTSTAMP:20260403T212855
CREATED:20241108T171440Z
LAST-MODIFIED:20250603T124551Z
UID:22656-1732636800-1732644000@www.scienceofintelligence.de
SUMMARY:Justin Werfel (Harvard University)\, “Bio-Inspired Intelligence and Robotics”
DESCRIPTION:Justin Werfel is a senior research scientist at Harvard’s Wyss Institute for Biologically Inspired Engineering\, where he works on topics in complex and emergent systems\, including swarm robotics\, termite behavior\, engineered molecular nanosystems\, and evolutionary theory. He leads the Designing Emergence Laboratory\, and works closely with a number of other collaborating labs. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \nThis talk will take place in person at SCIoI and will be available as a live stream. \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/justin-werfel-harvard-university-bio-inspired-intelligence-and-robotics/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2024/11/Werfel1.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241128T100000
DTEND;TZID=Europe/Berlin:20241128T110000
DTSTAMP:20260403T212855
CREATED:20240911T084638Z
LAST-MODIFIED:20250603T124540Z
UID:22176-1732788000-1732791600@www.scienceofintelligence.de
SUMMARY:Hideki Kozima (Tohoku University)\, “Child-Robot Interactions for Therapeutic and Educational Research and Practices”
DESCRIPTION:Abstract:\nResearch in developmental robotics includes modeling human intelligence and the process of its emergence in robotic systems. A novel research paradigm in psychology is emerging in conjunction with such efforts regarding reproducing human-specific communication abilities in robots and observing how children interact with robots with various communication capabilities. I will discuss such research trends from a broader perspective\, and the potential to realize robots that afford children the opportunities to build social relationships is examined. We consider human communication abilities not as a set of interactive functionalities in individuals but as a set of social tools in which functionalities have emerged from the social interaction driven by the individual motivation to form relationships with others. We also explore some representative works on using robots to help establish such relationships in autistic and typically developing children. Finally\, we discuss the possibility of using robots for further research and practical support for child development centered on building social relationships. \n  \nThis talk will take place in person at SCIoI (room 2.057). \n  \nPhoto by Owen Beard on Unsplash.
URL:https://www.scienceofintelligence.de/event/hideki-kozima-tohuku-university/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/09/xkozima-L-gray.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241129T140000
DTEND;TZID=Europe/Berlin:20241129T153000
DTSTAMP:20260403T212855
CREATED:20241024T152054Z
LAST-MODIFIED:20250603T124529Z
UID:22490-1732888800-1732894200@www.scienceofintelligence.de
SUMMARY:Majid Khadiv (TU München)\, “Optimal Control and Learning for Contact-Rich Robotics”
DESCRIPTION:The past few years have witnessed significant progress in the field of legged locomotion and manipulation. This is mainly due to the availability of high-performance hardware as well as development of algorithms that scale to high-dimensional\, hybrid and under-actuated systems. In this talk\, I will present my recent research efforts\, mainly on the algorithmic side\, on developing efficient predictive controllers that can be complemented with supervised/reinforcement learning for real-time execution in the real world. I will also share my perspective on the open problems that we still need to solve to have functional humanoid robots in the real world. \nMajid Khadiv is an assistant professor in the school of Computation\, Information and Technology (CIT) at TUM. He leads the chair of AI Planning in Dynamic Environments and is also a member of the Munich Institute of Robotics and Machine Intelligence (MIRMI). Prior to joining TUM\, he was a research scientist at the Empirical Inference Department at the Max Planck Institute for Intelligent systems. Before that he was a postdoctoral researcher in the Machines in Motion\, a joint laboratory between New York University and Max Planck Institute. Since the start of his PhD in 2012\, he has been performing research on motion planning\, control and learning for legged robots ranging from quadrupeds\, lower-limb exoskeleton up to humanoid robots. \nThis talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning\,” which explores how advances in machine learning are helping robots operate in new environments\, learn new behaviors\, and adapt to changing conditions. \nImage generated with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/majid-khadiv-tu-munchen-optimal-control-and-learning-for-contact-rich-robotics/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/legged_locomotion.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241203T160000
DTEND;TZID=Europe/Berlin:20241203T180000
DTSTAMP:20260403T212855
CREATED:20241118T121945Z
LAST-MODIFIED:20250603T124517Z
UID:22757-1733241600-1733248800@www.scienceofintelligence.de
SUMMARY:Mario Di Bernardo (University of Naples Federico II)\, “Control of Complex Multi-Agent Systems”
DESCRIPTION:Mario di Bernardo is Professor of Automatic Control at the University of Naples Federico II\, Italy and Visiting Professor of Nonlinear Systems and Control at the University of Bristol\, U.K. He currently serves as Deputy pro-Vice Chancellor for Internationalization at the University of Naples and coordinates the research area and PhD program on Modeling and Engineering Risk and Complexity of the Scuola Superiore Meridionale\, the new School of Advanced Studies located in Naples. On 28th February 2007 he was bestowed the title of Cavaliere of the Order of Merit of the Italian Republic for scientific merits from the President of Italy. His research interests include the analysis\, synchronization and control of complex network systems; piecewise-smooth dynamical systems; nonlinear dynamics and nonlinear control with applications to engineering and computational biology. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \n©SCIoI \n 
URL:https://www.scienceofintelligence.de/event/mario-di-bernardo-university-of-naples-federico-ii-control-of-complex-multi-agent-systems/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/11/20220702_SciOI_LangeNacht_006-scaled-e1731932631579.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241205T160000
DTEND;TZID=Europe/Berlin:20241205T173000
DTSTAMP:20260403T212855
CREATED:20240911T085644Z
LAST-MODIFIED:20250603T124505Z
UID:22187-1733414400-1733419800@www.scienceofintelligence.de
SUMMARY:Onur Güntürkün (Ruhr University Bochum)\, “The Evolution of Brain and Cognition: A Wild Hypothesis”
DESCRIPTION:Onur Güntürkün is regarded as a pioneer of biologically based psychology. The aim of his work is to find out how perception\, thought and action arise in the brain. He is interested in diverse topics\, such as motor learning\, fear\, risk-taking behavior and even kissing. In his research\, Güntürkün combines psychological\, biological and neuroanatomical aspects with concepts and findings from the comparative behavioral studies and neurosciences. Using magpies as an example\, he was able to show that birds recognize themselves in the mirror and are therefore able to develop a kind of self-concept. This finding is astonishing because they lack the cerebral cortex in their brains. This is precisely what controls this ability in primates. Building on this finding\, Güntürkün also succeeded in proving that the forebrain structures of birds and primates have converged in an evolutionary process. Despite their different structures\, they converge in their neurobiological basis and their behavioral performance. \nThis talk will take place in person at SCIoI (room 2.057). \n  \nPhoto created in DALLE by Maria Ott
URL:https://www.scienceofintelligence.de/event/onur-gunturkun-ruhr-university-bochum-the-evolution-of-brain-and-cognition-a-wild-hypothesis/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Distinguished Speaker Series
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2024/09/Brain_1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241210T160000
DTEND;TZID=Europe/Berlin:20241210T180000
DTSTAMP:20260403T212855
CREATED:20241030T150652Z
LAST-MODIFIED:20250603T124449Z
UID:22537-1733846400-1733853600@www.scienceofintelligence.de
SUMMARY:Sabine Hauert (University of Bristol)\, “Breaking Swarm Stereotypes: Scalability\, Adaptability\, and Robustness in Real-World Applications”
DESCRIPTION:Sabine Hauert is Professor of Swarm Engineering at the University of Bristol in the UK. Her research focuses on making swarms for people\, and across scales\, from nanorobots for cancer treatment\, to larger robots for environmental monitoring\, or logistics. Before joining the University of Bristol\, Sabine engineered swarms of nanoparticles for cancer treatment at MIT\, and deployed swarms of flying robots at EPFL. \nThe distributed nature of swarm robotics has the potential to enable out-of-the-box solutions in real-world environments that adapt\, scale\, and are robust to failure. To achieve this potential\, we may need to broaden our perception of swarms being composed of large numbers of autonomous\, simple\, and often homogeneous agents that use local interaction and sensing alone. Instead\, we propose a shift towards swarms with emergent properties that are easy to design\, monitor\, control\, and validate by humans. We show how swarms can rely on sophisticated perception of their local environment\, and share some information quasi-globally. Finally we envision a world where swarms of specialised robots have a shared awareness of their operations and co-exist in common environments\, coordinating tasks in construction\, farming\, logistics\, and environmental preservation. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \nThis talk will take place in person at SCIoI and will be available as a live stream. \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/sabine-hauert-university-of-bristol-adaptability-and-robustness/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/Mohsen_Hauert-e1730300782550.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250107T160000
DTEND;TZID=Europe/Berlin:20250107T180000
DTSTAMP:20260403T212855
CREATED:20241217T123131Z
LAST-MODIFIED:20250603T124437Z
UID:22899-1736265600-1736272800@www.scienceofintelligence.de
SUMMARY:Carlo Pinciroli (Worcester Polytechnic Institute)\, “Simulation Platforms and sim2real Gap”
DESCRIPTION:Carlo Pinciroli is an Associate Professor and Graduate Coordinator of the Robotics Engineering department at Worcester Polytechnic Institute (WPI)\, where he leads the NEST (Novel Engineering for Swarm Technologies) Lab. With additional appointments in WPI’s Artificial Intelligence Program\, Computer Science\, and Fire Protection Engineering\, his research centers on swarm robotics. \nHe is the creator of ARGoS\, a widely used\, high-performance robot swarm simulator\, and the driving force behind Buzz\, a programming language designed for real-world robot swarms\, recognized by MIT Technology Review and Communications of the ACM. Their work has received funding from NSF\, NASA\, Amazon Science\, Raytheon Technologies\, and other major institutions\, advancing both simulation accuracy and real-world swarm applications. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \nThis talk will take place in person at SCIoI and will be available as a live stream. \nImage generated with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/carlo-pinciroli-worcester-polytechnic-institute-simulation-platforms-and-sim2real-gap/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2024/12/Pinciroli-e1734438654860.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250110T140000
DTEND;TZID=Europe/Berlin:20250110T153000
DTSTAMP:20260403T212855
CREATED:20241024T160017Z
LAST-MODIFIED:20250603T124424Z
UID:22496-1736517600-1736523000@www.scienceofintelligence.de
SUMMARY:Oliver Kroemer (Carnegie Mellon University)\, “Modularity and Learning To Structure Robot Manipulation Skills”
DESCRIPTION:Oliver Kroemer’s research focuses on developing algorithms and representations that enable robots to learn versatile manipulation skills over time. By equipping robots with the ability to acquire new skills and adapt manipulations to novel situations\, his work opens up a wide range of potential applications—from assisting the elderly and maintaining parks and public spaces to operating in hazardous environments. \nOliver has developed methods that allow robots to learn about objects through physical interactions and autonomously refine their skills using reinforcement learning. Additionally\, he has proposed innovative representations for capturing key aspects of manipulations\, such as contact states and motor primitives\, to enhance generalization across different tasks and scenarios. \nThe ultimate aim of his research is to create a life-long learning framework that enables robots to continuously acquire and improve manipulation skills\, paving the way for more adaptable and capable robotic systems. \nThis talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning\,” which explores how advances in machine learning are helping robots operate in new environments\, learn new behaviors\, and adapt to changing conditions. \nImage generated with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/oliver-kroemer-carnegie-mellon-university-modularity-and-learning-to-structure-robot-manipulation-skills/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/Kroemer-e1734442005415.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250115T160000
DTEND;TZID=Europe/Berlin:20250115T180000
DTSTAMP:20260403T212855
CREATED:20241217T153357Z
LAST-MODIFIED:20250603T124411Z
UID:22907-1736956800-1736964000@www.scienceofintelligence.de
SUMMARY:Mary Ellen Foster (University of Glasgow)\, “Face-to-Face Conversation With Socially Intelligent Robots”
DESCRIPTION:When humans talk to each other face-to-face\, they use their voices\, faces\, and bodies together in a rich\, multimodal\, continuous\, interactive process. For a robot to participate fully in this sort of natural\, face-to-face conversation in the real world\, it must also be able not only to understand the social signals of its human partners\, but also to produce appropriate signals in response. In this talk\, I will present recent research from my group in this area\, and will also discuss the issues involved in moving social robots from the lab to real-world contexts\, which involves consultation with a large number of stakeholders. \nDr Mary Ellen Foster is a Senior Lecturer in the School of Computing Science at the University of Glasgow. Her primary research interests are human-robot interaction\, social robotics\, and embodied conversational agents. She recently coordinated the MuMMER project\, a European Horizon 2020 project in the area of socially aware human-robot interaction\, and is currently coordinating a UK/Canada collaborative project investigating the use of socially intelligent robots in paediatric emergency rooms. She obtained her PhD from the University of Edinburgh in 2007 and has previously worked at the Technical University of Munich and Heriot-Watt University. \nThis talk will take place as part of SCIoI member Jonas Frenkel’s seminar “Artificial Social Intelligence.” It aims to provide a comprehensive exploration of ASI\, which involves the observation\, analysis\, and synthesis of social phenomena. It integrates synthetic sciences such as machine learning\, computer vision\, and robotics with cognitive science\, psychology\, neuroscience\, and the humanities to focus on the perception\, cognitive components\, and behaviors linked to social intelligence. \nThis talk will take place in person at SCIoI.
URL:https://www.scienceofintelligence.de/event/mary-ellen-foster-university-of-glasgow/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/12/Z__2526-e1734449630441.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250116T100000
DTEND;TZID=Europe/Berlin:20250116T110000
DTSTAMP:20260403T212855
CREATED:20250106T095531Z
LAST-MODIFIED:20250107T153234Z
UID:22991-1737021600-1737025200@www.scienceofintelligence.de
SUMMARY:Anita Keshmirian (Forward College\, Berlin): "Many Minds\, Diverging Morals: Human Groups vs. AI in Moral Decision-Making"
DESCRIPTION:Moral judgments are inherently social\, shaped by interactions with others in everyday life. Despite this\, psychological research has rarely examined the impact of social interactions on these judgments. In our study\, we explored the role of group dynamics in moral decision-making by having small groups (4-5 participants) evaluate moral dilemmas first individually\, then collectively\, and finally individually a second time. Participants judged real-life and sacrificial moral dilemmas involving actions or inactions violating moral principles to benefit the greater good. Experiment 1 found that collective judgments were more utilitarian than individual judgments\, supporting the hypothesis that group deliberation temporarily reduces the emotional burden of violating moral norms. \nExperiment 2 measured participants’ state anxiety and moral judgments before\, during\, and after online interactions. Results again showed that collectives were more utilitarian\, reducing state anxiety during and after social interaction\, suggesting that stress reduction may explain the shift toward utilitarianism in group settings. We replicated this experiment using multi-agent large language models (LLMs) to test how artificial agents make moral decisions. Preliminary findings revealed that\, unlike humans\, groups of LLM agents were less utilitarian than individual agents. Analysis of the agents’ interactions showed a consistent pattern of virtue-signaling\, with LLMs emphasizing deontological reasoning (focusing on moral rules) rather than utilitarian principles. \nThis divergence from human behavior suggests that collective reasoning in AI systems is shaped by different dynamics\, likely due to how LLMs are trained to prioritize socially accepted norms. These results highlight important differences in moral decision-making between human and artificial intelligence\, offering new insights into the development of AI systems that more closely mirror human ethical reasoning\, particularly in complex\, real-world collective decision-making scenarios. \nImage created with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/anita-keshmirian-many-minds-diverging-morals-human-groups-vs-ai-in-moral-decision-making/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/TMT_Anita_Keshmirian-2-e1736256383948.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250120T100000
DTEND;TZID=Europe/Berlin:20250120T163000
DTSTAMP:20260403T212855
CREATED:20250116T102149Z
LAST-MODIFIED:20251023T103255Z
UID:23176-1737367200-1737390600@www.scienceofintelligence.de
SUMMARY:SCIoI at Oxford Berlin Colloquium on AI Ethics
DESCRIPTION:The 2025 Oxford Berlin colloquium on AI ethics will be held in Oxford and bring together scholars and professionals to discuss a variety of topics\, hosted by Dr Caroline Green (Oxford) and Dr Luise Muller (Freie Universitat Berlin). \nAI technologies\, from large language models to self-driving cars\, raise fundamental philosophical questions. The aim of the Oxford Berlin colloquium on AI ethics is to connect early-career researchers doing ground-breaking work on the moral and political philosophy of AI and related fields\, and to provide a forum for presenting work in progress\, receiving valuable feedback in a constructive environment\, and exchanging ideas with leading researchers and professionals from industry and policy. \nSCIoI member Verena Hafner will speaking about “Embodied AI and the Artificial Self” at the colloquium.. \nFind all info about the event here\, and the program here.
URL:https://www.scienceofintelligence.de/event/scioi-at-oxford-berlin-colloquium-on-ai-ethics/
LOCATION:Beit Room\, Rhodes House\, South Parks Road\, Oxford\, OX1 3RG
CATEGORIES:External Event
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/Oxford-Berlin-Colloquium-e1737022700780.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250120T140000
DTEND;TZID=Europe/Berlin:20250120T153000
DTSTAMP:20260403T212855
CREATED:20241024T160424Z
LAST-MODIFIED:20250102T131427Z
UID:22499-1737381600-1737387000@www.scienceofintelligence.de
SUMMARY:Rudolf Lioutikov (Karlsruher Institut für Technologie)\, "Versatile\, Language Conditioned Robots"
DESCRIPTION:More info will follow soon. \nThis talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning\,” which explores how advances in machine learning are helping robots operate in new environments\, learn new behaviors\, and adapt to changing conditions.
URL:https://www.scienceofintelligence.de/event/rudolf-lioutikov-karlsruher-institut-fur-technologie-versatile-language-conditioned-robots/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/Copy-of-zp-TU-HU-ExcelenzForschung-20240122-077___-scaled-e1729865955744.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250121T160000
DTEND;TZID=Europe/Berlin:20250121T180000
DTSTAMP:20260403T212855
CREATED:20241217T172315Z
LAST-MODIFIED:20250603T124352Z
UID:22911-1737475200-1737482400@www.scienceofintelligence.de
SUMMARY:Giovanni Beltrame (Polytechnique Montreal)\, “Field Collective Robotics: Challenges and Applications”
DESCRIPTION:Giovanni Beltrame is a Professor in the Department of Computer and Software Engineering at Polytechnique Montréal\, where he leads the Making Innovative Space Technology (MIST) Laboratory. At MIST Lab\, Giovanni is conducting projects in collaboration with industry and government agencies in areas such as robotics\, disaster response\, and space exploration. His research interests include the modeling and design of embedded systems\, artificial intelligence\, and robotics\, with a particular emphasis on swarm robotics. He has participated in several field missions with ESA\, the Canadian Space Agency (CSA)\, and NASA\, including BRAILLE\, PANGAEA-X\, and IGLUNA. He has made significant contributions to the field of swarm robotics\, notably through the development of Buzz\, a programming language designed for heterogeneous robot swarms\, which facilitates the coordination and control of large groups of robots. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/giovanni-beltrame-polytechnique-montreal-field-collective-robotics-challenges-and-applications/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2024/12/Giovanni_Mohsen2.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250122T160000
DTEND;TZID=Europe/Berlin:20250122T173000
DTSTAMP:20260403T212855
CREATED:20250106T110543Z
LAST-MODIFIED:20250603T124340Z
UID:23000-1737561600-1737567000@www.scienceofintelligence.de
SUMMARY:Stephen M. Fiore (University of Central Florida)\, “Studying Artificial Social Intelligence: Understanding and Examining Social Cognitive Processes in Human-Machine Collaborations”
DESCRIPTION:In this presentation Stephen M. Fiore will provide an overview of a body of research in social cognition and its relation to developing artificial social intelligence. In the rapidly evolving landscape of artificial intelligence (AI)\, an important research direction is the development of systems that can work alongside and collaborate with humans as actual teammates. Effective teamwork is crucial in fields that have high-stakes and can require complex collaborative problem solving (e.g.\, disaster response). In these environments\, the ability of team members to collaborate requires social-cognitive processes over and above an understanding of the tasks to be accomplished. We address this through the study of socially intelligent AI and how these influence interactions with human counterparts acting as a team. In this talk\, Stephen Fiore will first provide an overview of our approach to social cognition and the theoretical concepts being studied. He will describe theory and data from his various research projects studying human-human and human-machine teaming and conclude with recommendations and guidance for future research on artificial social intelligence. \nThis course This talk will take place as part of SCIoI member Jonas Frenkel’s seminar “Artificial Social Intelligence.” It aims to provide a comprehensive exploration of ASI\, which involves the observation\, analysis\, and synthesis of social phenomena. It integrates synthetic sciences such as machine learning\, computer vision\, and robotics with cognitive science\, psychology\, neuroscience\, and the humanities to focus on the perception\, cognitive components\, and behaviors linked to social intelligence. \nImage created with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/artificial-social-intelligence-stephen-fiore/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/Fiore.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250123T100000
DTEND;TZID=Europe/Berlin:20250123T110000
DTSTAMP:20260403T212855
CREATED:20250106T100435Z
LAST-MODIFIED:20250603T124327Z
UID:22994-1737626400-1737630000@www.scienceofintelligence.de
SUMMARY:Wannes Ooms (KU Leuven Centre for IT & IP Law -Imec): A General Introduction to the EU AI Act
DESCRIPTION:The EU AI Act introduces new obligations for providers and deployers of AI systems. In this presentation\, we will discuss the scope of the AI Act\, the different qualifications of AI systems under the act and the related obligations or requirements. We also provide a look ahead at key deadlines\, the status of standards and conformity assessments\, and other responsibilities along the AI value chain. \nThis event will take place in person and will be streamed via zoom. \nPhoto by Alex Knight on Unsplash
URL:https://www.scienceofintelligence.de/event/wannes-ooms-ku-leuven-centre-for-it-ip-law-imec-a-general-introduction-to-the-eu-ai-act/
LOCATION:Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/alex-knight-2EJCSULRwC8-unsplash-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250129T161500
DTEND;TZID=Europe/Berlin:20250129T173000
DTSTAMP:20260403T212855
CREATED:20250106T111016Z
LAST-MODIFIED:20250603T124316Z
UID:23002-1738167300-1738171800@www.scienceofintelligence.de
SUMMARY:Maarten Sap (Carnegie Mellon University)\, “Artificial Social Intelligence? On the Challenges of Socially Aware and Ethically Informed LLMs”
DESCRIPTION:Modern AI systems such as LLMs are pervasive and helpful\, but do they really have the social intelligence to seamlessly and safely engage in interactions with humans? In this talk\, Maarten Sap will delve into the limits of social intelligence of LLMs and how we can measure and anticipate their risks. He will introduce Sotopia\, a new social simulation environment to evaluate the interaction abilities of LLMs as social AI agents. He will show how today’s most powerful models struggle to socially interact due to inability to deal with information asymmetry. He will then shift to how LLMs pose new ethical challenges in their interactions with users. Specifically\, through their language modality and possible expressions of uncertainty\, his work shows that LLMs tend to express overconfidence in their answers even when incorrect\, which users tend to over-rely on.  Finally\, Maarten Sap  will introduce ParticipAI\, a new framework to anticipate future AI use cases and dilemmas. Through their framework\, his work shows that lay users can help us anticipate the benefits and harms of allowing or not allowing an AI use case\, paving the way for more democratic approaches to AI design\, development\, and governance. He will conclude with some thoughts on future directions towards socially aware and ethically informed AI. \nThis talk will take place as part of SCIoI member Jonas Frenkel’s seminar “Artificial Social Intelligence.” It aims to provide a comprehensive exploration of ASI\, which involves the observation\, analysis\, and synthesis of social phenomena. It integrates synthetic sciences such as machine learning\, computer vision\, and robotics with cognitive science\, psychology\, neuroscience\, and the humanities to focus on the perception\, cognitive components\, and behaviors linked to social intelligence. \nThis talk will take place in person at SCIoI. \nImage created with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/artificial-social-intelligence-maarten-sap-carnegie-mellon-university/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/Saap.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250205T160000
DTEND;TZID=Europe/Berlin:20250205T171500
DTSTAMP:20260403T212855
CREATED:20250113T102236Z
LAST-MODIFIED:20250603T124306Z
UID:23100-1738771200-1738775700@www.scienceofintelligence.de
SUMMARY:Goldie Nejat (University of Toronto)\, “Paging the Socially Assistive Robots: Intelligent and Persuasive Social Robots for Healthcare and Beyond”
DESCRIPTION:The world is experiencing a silver tsunami: rapid population aging. As the world’s older population significantly increases\, dementia is becoming one of the fastest growing diseases\, with no cure in sight. Socially assistive robots are a unique disruptive innovation that are becoming a crucial part of everyday society\, especially in a post-pandemic world\, aiding people in everyday life to meet urgent and immediate assistive needs. This talk will present some of my group’s recent research efforts in developing intelligent and persuasive socially assistive robots to improve quality of life and promote independence (aging-in-place) of older adults\, including those living with dementia and their care providers. In particular\, I will discuss some of my team’s many robots including Brian\, Casper\, Tangy\, Blueberry\, Salt\, Pepper\, Chili\, Hans Solo\, and Luke and Leia that have been deployed in human-centered environments from long-term care homes and hospitals to grocery stores to autonomously provide cognitive and social interventions\, help with activities of daily living\, and lead individual-based and group-based recreational activities\, games and therapies. Our novel multimodal interactive robots are serving as assistants to individuals as well as groups of users\, while learning to personalize these interactions to the needs and wants of these users by using perceptual\, behavioral and persuasive intelligence. Numerous user studies conducted in care settings will also be discussed to highlight how these robots can effectively be integrated into people’s everyday lives to support person-centered care. \nDr. Goldie Nejat\, Ph.D.\, P.Eng.\, is a Professor in the Department of Mechanical & Industrial Engineering at the University of Toronto. She is also the Founder and Director of the Autonomous Systems and Biomechatronics Laboratory Professor Nejat is an Adjunct Scientist at both KITE in the Toronto Rehabilitation Institute (University Health Network) and the Rotman Research Institute at Baycrest Health Sciences\, and a Fellow of both ASME and CIFAR. She was the Canada Research Chair in Robots for Society (2014-2024).\nDr. Nejat’s research focuses on developing intelligent service robots and robot cooperative teams for applications in health\, eldercare\, emergency response\, search and rescue\, security and surveillance\, retail and manufacturing. Her ground-breaking robotics research is leading the development of intelligent socially assistive robots aimed at meeting the challenges posed by a rapidly aging population. She has been invited to speak about her research to scientists\, healthcare professionals\, policymakers\, governments and the general public at many events\, conferences and institutions around the world. She has served on the organizing\, program and editorial committees of numerous international conferences and journals on robotics\, automation\, human-robot interaction and medical devices. She is an Associate Editor for the International Journal of Social Robotics\, a program co-chair for the 2025 IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) and is also a past Associate Editor for IEEE Robotics and Automation Letters (RA-L)\, and IEEE Transactions on Automation Science and Engineering (T-ASE). Her team’s work has been presented in over 100 media stories including in Popular Science\, National Geographic Magazine\, Time Magazine\, Bloomberg\, NBC News\, the Telegraph\, Reader’s Digest\, and the Discovery Channel. In 2022\, she received the Robotics Society of Japan (RSJ) Pioneering Research Award in Robot & Human Interactive Communication along with her students and collaborator. In 2022\, she was also internationally recognized as 1 of 50 women in robotics you need to know by Women in Robotics for her inspiring contributions to robotics. In 2020\, she received the Engineering Excellence Medal from the Ontario Society of Professional Engineers (PEO) and the Professional Engineers Ontario. \nThis talk will take place as part of SCIoI member Jonas Frenkel’s seminar “Artificial Social Intelligence.” It aims to provide a comprehensive exploration of ASI\, which involves the observation\, analysis\, and synthesis of social phenomena. It integrates synthetic sciences such as machine learning\, computer vision\, and robotics with cognitive science\, psychology\, neuroscience\, and the humanities to focus on the perception\, cognitive components\, and behaviors linked to social intelligence. \nPhoto by Michael Dziedzic on Unsplash.
URL:https://www.scienceofintelligence.de/event/goldie-nejat-university-of-toronto/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/Goldie.webp
END:VEVENT
END:VCALENDAR