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:20241119T160000
DTEND;TZID=Europe/Berlin:20241119T180000
DTSTAMP:20260403T195751
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:20260403T195751
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:20260403T195751
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:20260403T195751
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:20260403T195751
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:20260403T195751
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:20260403T195751
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:20260403T195751
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:20260403T195751
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:20260403T195751
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:20260403T195751
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:20260403T195751
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:20260403T195751
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:20260403T195751
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:20260403T195751
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:20260403T195751
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:20260403T195751
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:20260403T195751
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
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250207T140000
DTEND;TZID=Europe/Berlin:20250207T153000
DTSTAMP:20260403T195751
CREATED:20241024T160716Z
LAST-MODIFIED:20250603T124252Z
UID:22501-1738936800-1738942200@www.scienceofintelligence.de
SUMMARY:Tucker Hermans (University of Utah\, NVIDIA)\, “Learning and Planning With Relational Dynamics Models for Robot Manipulation”
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/tucker-hermans-university-of-utah-nvidia-learning-and-planning-with-relational-dynamics-models-for-robot-manipulation/
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/Handmanipulations-scaled-e1729866591231.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250212T170000
DTEND;TZID=Europe/Berlin:20250212T183000
DTSTAMP:20260403T195751
CREATED:20250113T103151Z
LAST-MODIFIED:20250603T124241Z
UID:23105-1739379600-1739385000@www.scienceofintelligence.de
SUMMARY:Agnieszka Wykowska (the Italian Institute of Technology\, Genoa)\, “Using Humanoid Robots To Study Human Cognition”
DESCRIPTION:Humanoid robots have recently received a lot of attention and enthusiasm in the robotics community and beyond. Indeed\, with new technological advancements\, they hold the promise to become our assistants in daily lives\, as general-purpose machines. In this talk\, however\, Agnieszka Wykowska will focus on a different\, less explored\, way of using humanoids – as tools to understand human cognition. Humanoids can play a substantial role in the scientific understanding of human cognition\, both through the construction of embodied models of cognitive mechanisms\, and in the role of sophisticated apparatus in experimental paradigms. Agnieszka Wykowska will present the work of her lab where they have examined how fundamental mechanisms of human cognition\, such as attention\, decision making or sense of agency\, are modulated by the interaction with a humanoid. She will then demonstrate how results from such studies can be used in robot-assisted cognitive training for children with disabilities\, highlighting the role of fundamental science in applied research. \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 Zak on Unsplash.
URL:https://www.scienceofintelligence.de/event/agnieszka-wykowska-the-italian-institute-of-technology-genoa/
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/Agnieszka2-e1736785356683.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250213T100000
DTEND;TZID=Europe/Berlin:20250213T110000
DTSTAMP:20260403T195751
CREATED:20250108T103243Z
LAST-MODIFIED:20250603T124226Z
UID:23032-1739440800-1739444400@www.scienceofintelligence.de
SUMMARY:Marina Papadopoulou (University of Tuscia)\, “Behavioural Rules Underlying Self-Organized Animal Collectives”
DESCRIPTION:From the foraging of ungulates and primates to the bait balls of fish and the murmurations of starlings\, the dynamics of animal groups fascinate us with the mystery of their underlying social interactions. Identifying unique and common traits across systems can help us understand the self-organized mechanisms of their emergence\, as well as the ecological and evolutionary processes that shape this diversity. In this talk\, I will showcase ongoing projects on the collective behaviour of several species of vertebrates\, such as schools of Amazon mollies\, flocks of European starlings\, and troops of chacma baboons\, aiming to understand the cognitive rules involved in the dynamics of these collectives. Specifically\, I will focus on inter- and intra- specific variation in collective motion and decision-making\, the role of individual heterogeneity\, and the emergence of complex patterns of collective escape\, with methodological details on the analysis of empirical data\, the use of robotic predators and conspecifics\, and the development of data-inspired agent-based models. \nPhoto by Marek Piwnicki on Unsplash
URL:https://www.scienceofintelligence.de/event/marina-papadopoulou-university-of-tuscia-behavioural-rules-underlying-self-organized-animal-collectives/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/marek-piwnicki-8SqgP2vIwJk-unsplash.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250220T100000
DTEND;TZID=Europe/Berlin:20250220T110000
DTSTAMP:20260403T195751
CREATED:20250113T125547Z
LAST-MODIFIED:20250603T124213Z
UID:23115-1740045600-1740049200@www.scienceofintelligence.de
SUMMARY:Julten Abdelhalim\, “Mastering Confident & Quick-Witted Communication in Academia” Workshop
DESCRIPTION:In this one-hour workshop\, a toolbox of best-practise techniques for confident communication skills will be presented. This will equip attendees with a repertoire of rhetorical tools to communicate confidently and quick-wittedly in stressful situations. Participants will learn strategies to handle challenging questions and optimise their performance during academic debates. Another aim is to tackle dealing with harsh criticism\, personal attacks and knock-down arguments.
URL:https://www.scienceofintelligence.de/event/julten-abdelhalim-mastering-confident-quick-witted-communication-in-academia-workshop/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/05/abdelhalim-julten.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250224
DTEND;VALUE=DATE:20250301
DTSTAMP:20260403T195751
CREATED:20241217T110310Z
LAST-MODIFIED:20250219T122950Z
UID:22890-1740355200-1740787199@www.scienceofintelligence.de
SUMMARY:Winter School "Ethics of Neuroscience and AI" 2025
DESCRIPTION:Science of Intelligence\, the Berlin School of Mind and Brain and the Bernstein Center for Computational Neuroscience are happy to invite to the Berlin Winter School “Ethics of Neuroscience and AI” 2025. \nThe Winter School is a five days conference which covers a broad field of topics from philosophical ethics to ethics of research and animal experiments with a focus on ethics and AI in the last two days. \nScientific Organizers: John-Dylan Haynes\, Marten Kaas\, Thomas Schmidt
URL:https://www.scienceofintelligence.de/event/winter-school-ethics-of-neuroscience-and-ai-2025/
LOCATION:Campus Nord of Humboldt-Universität zu Berlin at Ostertag-Haus\, Philippstr.12\, House 4 10115 Berlin
CATEGORIES:External Event
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/12/Druck_neu_Winterschool_A2_2025-scaled-e1734433178550.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250227T160000
DTEND;TZID=Europe/Berlin:20250227T173000
DTSTAMP:20260403T195751
CREATED:20250108T103914Z
LAST-MODIFIED:20250603T124155Z
UID:23037-1740672000-1740677400@www.scienceofintelligence.de
SUMMARY:Florian Engert (Harvard University)\, “Attentional Switching in Larval Zebrafish”
DESCRIPTION:Decision making strategies in the face of conflicting or uncertain sensory input have been successfully described in many different species.  Here we analyze large behavioral datasets of larval zebrafish engaged in a ‘coherent dot’ optomotor assay. We find that animal performance is bimodal and can be separated into two ‘states’\, an engaged state where performance is high and fish consistently turn into the direction of the coherent motion\, and a second\, disengaged state\, where performance drops to chance. We find that a simple HMM is sufficient to model these transitions and fits our experimental data well. We find that this addition can be incorporated into an existing DDM framework that has previously been used to model perceptual decision making in larval zebrafish.  \nFurther\, we leverage the large behavioral data sets to fit a mixture model of performance distributions and extract two latent variables which we term ‘focus’ and ‘competence’. Whereas ‘competence’ quantifies performance while the fish is in the engaged state\, the ‘focus’ variable captures the relative duration for which each animal persists in the engaged state. We show that ‘focus’ may be largely inherited from the parents\, while ‘competence’ is more likely to be influenced by environmental context. This quantitative framework for analyzing decision making can be used to screen genetic perturbations for their impact on these two aspects of performance\, and potentially help to identify a genetic basis\, and a neural mechanism for attention\, that extends across organisms. \nThis talk will take place in person at SCIoI (room 2.057). \nPhoto by Lance Anderson on Unsplash.
URL:https://www.scienceofintelligence.de/event/florian-engert-harvard-university-attentional-switching-in-larval-zebrafish/
CATEGORIES:Distinguished Speaker Series
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/lance-anderson-G2SDLsJp3rg-unsplash-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250313T100000
DTEND;TZID=Europe/Berlin:20250313T110000
DTSTAMP:20260403T195751
CREATED:20250210T103933Z
LAST-MODIFIED:20250603T124142Z
UID:23386-1741860000-1741863600@www.scienceofintelligence.de
SUMMARY:Jonas Kuckling (University of Konstanz)\, “Living on the Edge – Scalability and Two-Phase Performance in Multi-Robot Systems”
DESCRIPTION:Scalability is often lauded as one of the advantages of decentralized multi-robot systems and robot swarms. Theory and many experimental works predict that with increasing swarm density\, we will observe a gradual decay of performance. In our work\, we have taken a closer look at the scalability of robot swarms in different settings and we have noticed that the predicted decay does not always appear to be gradual. Instead\, the performance splits into two phases\, potentially causing catastrophic failures at near-optimal swarm densities. In this talk\, I will provide an overview of our empirical and theoretical analyses of scalability behavior in robot swarms and the resulting considerations for the design of robot swarms. \n  \nImage created in DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/jonas-kuckling-university-of-konstanz/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2025/02/Giovanni_Mohsen.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250320T100000
DTEND;TZID=Europe/Berlin:20250320T110000
DTSTAMP:20260403T195751
CREATED:20250210T105744Z
LAST-MODIFIED:20250603T124131Z
UID:23390-1742464800-1742468400@www.scienceofintelligence.de
SUMMARY:Konstantinos Voudouris (Helmholtz AI\, University of Cambridge)\, “ What Are AI Capabilities and How Can We Measure Them?”
DESCRIPTION:What can AI systems do? Answering this question requires us to model their capabilities\, but this first demands a clear conception of what capabilities are and which tools we can use to measure them. I advance a dispositional account of capabilities\, understanding them as a system’s propensity to behave in certain ways under certain conditions. I then survey the tools we have at our disposal to measure capabilities\, and what the nascent field of AI Evaluation can learn from the broader cognitive sciences. \n  \nPhoto by Stefan Cosma on Unsplash
URL:https://www.scienceofintelligence.de/event/konstantinos-voudouris-helmholtz-ai-university-of-cambridge-capability-measurement-in-llms/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/02/stefan-cosma-GVlcXhQejA8-unsplash-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250327T100000
DTEND;TZID=Europe/Berlin:20250327T110000
DTSTAMP:20260403T195751
CREATED:20250210T105859Z
LAST-MODIFIED:20250303T121007Z
UID:23394-1743069600-1743073200@www.scienceofintelligence.de
SUMMARY:Vito Trianni (Institute of Cognitive Sciences and Technologies\, CNR Rome)\, "Emergence and Heterogeneity in Minimalist Robot Swarms"
DESCRIPTION:Far-reaching perspectives in swarm robotics consider robots that are minimalist in their sensing\, communication and computation\, but are deployed in thousands to collaborate towards the accomplishment of tasks distributed in space and time. Generally speaking\, future robot swarms might face harsh operating conditions where little communication is possible and no external infrastructure is available. These robots might not be able to efficiently communicate with a central controller and might not have the perceptual and computational abilities to self-localise or precisely plan their movements. It is therefore necessary to study collaborative strategies that do not rely on complex control and interaction rules. In this talk\, I will present studies about minimalist approaches to collective behaviours based on random walks and simple communication systems. I will introduce the concept of Adaptive Random Walks as a tool to design simple emergent behaviours in minimalist robot swarms\, and present the case of team formation and aggregation\, showing how heterogeneity in the swarm can be beneficial to improve efficiency while maintaining the complexity low. I will then discuss minimal quorum sensing strategies\, and discuss which communication protocol provide benefits for group coordination. \n  \nPhoto by Christopher Burns on Unsplash
URL:https://www.scienceofintelligence.de/event/vito-trianni-institute-of-cognitive-sciences-and-technologies-cnr-rome/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/02/christopher-burns-Kj2SaNHG-hg-unsplash-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250402
DTEND;VALUE=DATE:20250405
DTSTAMP:20260403T195751
CREATED:20250116T094555Z
LAST-MODIFIED:20250207T103746Z
UID:23169-1743552000-1743811199@www.scienceofintelligence.de
SUMMARY:SCIoI at 5th International Conference on Embodied Intelligence
DESCRIPTION:This event brings together a wide range of speakers to discuss the challenges and opportunities in Embodied Intelligence research. The conference is structured with a morning session and afternoon session each day to accommodate different time zones. Each session includes plenary talks\, panel discussions (including flash talks by leading researchers)\, and breakout sessions. The conference organizers are open for wider contributions for breakout sessions to facilitate more focused and technical discussions. \nSCIoI spokesperson Oliver Brock will be delivering a talk at the conference\, sharing insights into cutting-edge advancements in the field. \nClick here to participate and present for free. Once contribution is submitted\, the organizers will allocate a short time slot in one of the breakout sessions. The selected contributions will be later invited for special issue publications or book chapters. \nEI Conferences 2021-2024 Recordings \nRecordings and proceedings of this conference in the last two years can be found here. \nOfficial conference website \n 
URL:https://www.scienceofintelligence.de/event/scioi-at-5th-international-conference-on-embodied-intelligence/
LOCATION:On Zoom
CATEGORIES:External Event
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/Embodied_Intelligence_Conference.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250403T080000
DTEND;TZID=Europe/Berlin:20250403T130000
DTSTAMP:20260403T195751
CREATED:20241115T105923Z
LAST-MODIFIED:20260212T104102Z
UID:22749-1743667200-1743685200@www.scienceofintelligence.de
SUMMARY:Girls' Day 2025
DESCRIPTION:What is intelligence\, and how can research contribute to improving current technologies with insights from this work? At the Girls’ Day with the Excellence Cluster Science of Intelligence\, you’ll find out how scientists from various disciplines research the topic of intelligence. Through interactive exchanges\, you can learn how researchers work to understand intelligence from different perspectives. After a brief exchange\, the participants will visit the researchers’ labs in two groups and experience firsthand how intelligent robots work. They will also participate in a workshop where they can transform their impressions into a puzzle model. \nTo take part in our program\, you should be between 10 and 15 years old. \nThe program is in German. \nMore infos here.
URL:https://www.scienceofintelligence.de/event/girls-day-2025/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/11/20250403_Web_sonstige_announcement_girlsday-scaled-e1741974367283.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250407T190000
DTEND;TZID=Europe/Berlin:20250407T210000
DTSTAMP:20260403T195751
CREATED:20250326T122125Z
LAST-MODIFIED:20250326T134203Z
UID:23871-1744052400-1744059600@www.scienceofintelligence.de
SUMMARY:Excellent Pub Quiz
DESCRIPTION:Dive into the wonderful world of research of the seven Berlin Clusters of Excellence: from literature to chemistry\, from politics to AI\, you and your team can find answers for exciting and surprising questions from the clusters’ research areas. So seek fellows and think of your team name! \nEvery quiz evening focuses on the research of one of the clusters of excellence with a related live performance\, followed by questions from the areas of the rest of the clusters. At the end of the evening you will be certainly smarter than before and perhpas with great prizes in your hands. \nEvent langage: German\nAdmission: Free entry\nCapacity: Limited spaces\, so come early to not miss your spot\nModerator: Jochen Müller \nThis event is organized by the Cluster of Excellence Temporal Communities. \nThe other participating clusters are: MATH+\, Science of Intelligence\, UniSysCat\, SCRIPTS\, Matters of Activity\, and NeuroCure.
URL:https://www.scienceofintelligence.de/event/excellent-pub-quiz/
LOCATION:Fahimi bar\, Skalitzer Str. 133\, Berlin\, 10999\, Germany
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/03/PubQuiz-7-April-Sharepic-insta-Neu.jpg
END:VEVENT
END:VCALENDAR