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: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:20250502T141500
DTEND;TZID=Europe/Berlin:20250502T154500
DTSTAMP:20260428T122529
CREATED:20250402T100615Z
LAST-MODIFIED:20250603T124009Z
UID:24007-1746195300-1746200700@www.scienceofintelligence.de
SUMMARY:Michael Levin (Tufts University)\, “Communication With Intelligence in Unconventional Embodiments: Bioelectricity as a Case Study”
DESCRIPTION:Embodiment is critical for intelligence; however\, the traditional concept of embodiment as movement in 3-dimensional space covers only a small slice of the way biology exploits embodiment. In this talk\, I will present a framework for understanding intelligence more broadly\, and show how the multiscale competency of bodies navigates many different kinds of spaces. I will use our findings in developmental bioelectricity as a case study for how an unconventional intelligence can be recognized and communicated with\, for exciting applications in regenerative medicine and cancer. I will also show novel multicellular life forms\, which highlight the remarkable plasticity of the agential material of life by self-constructing new embodied intelligences from un-modified cells. The emerging field of diverse intelligence merges biophysics\, computer science\, and cognitive science in a way that helps us relate to current and forthcoming beings\, with applications in science\, engineering\, and ethics. \n  \nBio\nMichael Levin is the Vannevar Bush Chair and Distinguished Professor of Biology at Tufts University\, where he directs both the Allen Discovery Center and the Tufts Center for Regenerative and Developmental Biology. Renowned for his pioneering work at the intersection of developmental biology\, synthetic biology\, and cognitive science\, Prof. Levin investigates how cells and tissues process information to control growth\, regeneration\, and form. His research explores the collective intelligence of cells\, bioelectric signaling\, and the emergence of cognition in both natural and synthetic organisms\, with applications ranging from regenerative medicine to synthetic bioengineering. Prof. Levin is widely recognized for co-discovering xenobots—programmable living machines made from frog cells—and has published over 350 scientific papers. His work has been featured in major scientific and popular media. For more information\, visit his lab website. \n  \nThis event will take place on site with the speaker joining on Zoom: https://tu-berlin.zoom-x.de/j/69207754612?pwd=IKxoTdY3dQWccHpce2nA0IsNkNxPHu.1 \nThis is part of Aravind Battaje‘s course “Mind\, Body\, Environment: An Interactive Seminar on Embodied Intelligence\,” a seminar introducing to key theories and research highlighting this shift in perspective through invited lectures from experts in the field and interactive sessions.
URL:https://www.scienceofintelligence.de/event/michael-levin-tufts-university/
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/2025/04/levin.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250506T140000
DTEND;TZID=Europe/Berlin:20250506T153000
DTSTAMP:20260428T122529
CREATED:20250226T121637Z
LAST-MODIFIED:20250409T100355Z
UID:23605-1746540000-1746545400@www.scienceofintelligence.de
SUMMARY:Pawel Romanczuk (Science of Intelligence)
DESCRIPTION:More details to follow. \nThis talk is part of David Mezey‘s course “Introduction to Modeling Collective Behavior\, ” a seminar on collective behavior research\, combined with multiple interactive elements. \n  \n  \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/pawel-romanczuk-science-of-intelligence/
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/2025/02/chatgtp2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250509T141500
DTEND;TZID=Europe/Berlin:20250509T154500
DTSTAMP:20260428T122529
CREATED:20250317T111247Z
LAST-MODIFIED:20250603T123955Z
UID:23742-1746800100-1746805500@www.scienceofintelligence.de
SUMMARY:J. Kevin O’Regan (CNRS Paris)\, “How To Make a Machine That Is Conscious and Really Feels”
DESCRIPTION:Despite current advances in artificial intelligence\, many people remain convinced that machines are still far from being able to really experience\, for example\, the redness of a sunset\, the pain of a pinprick\, or what it’s like to be sad. This “phenomenal” or “felt” aspect of consciousness seems outside the realm of science and impossible to implement in machines. Philosophers say phenomenal consciousness is the “hard problem”. I will show that the “hard problem” dissolves if we think about experiences using a “sensorimotor” approach.  Like the abandonment of the “ether hypothesis” and the “vital spirit” at the beginning of the 20th century\, the sensorimotor approach requires making a metaphysical shift. Instead of thinking of experiences as “happening to us”\, we should think of experiences as “things we do”.  I will illustrate the idea by taking concrete examples from the study of vision and touch. With this approach it becomes potentially possible to explain everything that can be explained from a scientific point of view about what it’s like to have sensory\, bodily\, emotional and mental experiences. Phenomenal consciousness loses its mystery. There is no obstacle to making machines that really feel. They are coming very soon. \n  \nBio \nKevin O’Regan is emeritus ex-director of the Laboratoire Psychologie de la Perception\, CNRS\, Université Paris Descartes. After working on eye movements in reading he became interested in visual stability and discovered the phenomenon of change blindness. His current work concerns the sensorimotor approach to phenomenal consciousness and its applications to child development and robotics. See http://whatfeelingislike.net and http://kevin-oregan.net/. \n  \nFor those who are not in Berlin but would like to join virtually:\nhttps://tu-berlin.zoom-x.de/j/69207754612?pwd=IKxoTdY3dQWccHpce2nA0IsNkNxPHu.1 \n  \nThis talk is also part of Aravind Battaje‘s course “Mind\, Body\, Environment: An Interactive Seminar on Embodied Intelligence\,” a seminar introducing to key theories and research highlighting this shift in perspective through invited lectures from experts in the field and interactive sessions. \n  \nPhoto kindly provided by the speaker.
URL:https://www.scienceofintelligence.de/event/kevin-oregan-cnrs-paris/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Distinguished Speaker Series
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/03/Screenshot-2025-04-29-at-12.18.42.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250512T190000
DTEND;TZID=Europe/Berlin:20250512T210000
DTSTAMP:20260428T122529
CREATED:20250326T123040Z
LAST-MODIFIED:20250326T134155Z
UID:23879-1747076400-1747083600@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 UniSysCat. \nThe other participating clusters are: MATH+\, Science of Intelligence\, Temporal Communities\, SCRIPTS\, Matters of Activity\, and NeuroCure.
URL:https://www.scienceofintelligence.de/event/excellent-pub-quiz-2/
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-12-Mai-Sharepic-insta-Neu.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250513T140000
DTEND;TZID=Europe/Berlin:20250513T153000
DTSTAMP:20260428T122529
CREATED:20250226T122030Z
LAST-MODIFIED:20250409T100403Z
UID:23609-1747144800-1747150200@www.scienceofintelligence.de
SUMMARY:Mate Nagy (MTA-ELTE Lendület Collective Behaviour Research Group\, Budapest)
DESCRIPTION:More details to follow. \nThis talk is part of David Mezey‘s course “Introduction to Modeling Collective Behavior\, ” a seminar on collective behavior research\, combined with multiple interactive elements. \n  \n  \n  \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/mate-nagy-mta-elte-lendulet-collective-behaviour-research-group-budapest/
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/2025/02/chatgtp3.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250515T100000
DTEND;TZID=Europe/Berlin:20250515T110000
DTSTAMP:20260428T122529
CREATED:20250317T111923Z
LAST-MODIFIED:20250603T123939Z
UID:23749-1747303200-1747306800@www.scienceofintelligence.de
SUMMARY:David Bierbach & Yunus Sevinchan (Science of Intelligence)\, “Self-Organised Criticality in Animal Collectives”
DESCRIPTION:More details to follow. \n  \nPhoto by lance Anderson on Unsplash.
URL:https://www.scienceofintelligence.de/event/david-bierbach-yunus-sevinchan-science-of-intelligence-self-organised-criticality-in-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/2025/03/lance-anderson-G2SDLsJp3rg-unsplash-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250522T100000
DTEND;TZID=Europe/Berlin:20250522T110000
DTSTAMP:20260428T122529
CREATED:20250402T100239Z
LAST-MODIFIED:20250516T125303Z
UID:24002-1747908000-1747911600@www.scienceofintelligence.de
SUMMARY:Anne Jaap\, Friedrich Schüßler\, and Paul Mieske (Science of Intelligence): "Big mouse data: Characterizing mouse behavior through temporal statistics"
DESCRIPTION:The study of animal behavior is rapidly changing due to recent advances in long-term recording and automated analysis. Here we use these new developments to characterize mouse behavior via their temporal statistics. We analyzed positional data (RFID detections) of groups of mice housed in complex environments over many months. We found that behavior spanning seconds to hours can be separated into three distinct temporal ranges or states: short states of up to 2 min\, that correspond mostly to explorative and interactive behaviors; intermediate states between 2-20 min\, consisting mostly of feeding and grooming; and long states beyond 20 min corresponding to sleep. Each state has a simple statistical description that allows for a simple model to recapture the broad aspects of the data. We further characterized these states across individuals and age and showed that the amount spent in each state is homeostatically controlled. Taken together\, we uncovered a surprisingly simple and consistent description of the temporal statistics of behavior in mice. Our results open up new questions about the underlying mechanisms as well as similar characterizations in other species. \n  \nPhoto courtesy of SCIoI Project 40.
URL:https://www.scienceofintelligence.de/event/anne-jaap-friedrich-schusler-paul-mieske-big-mouse-data/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/04/IMG_0942-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250527T140000
DTEND;TZID=Europe/Berlin:20250527T153000
DTSTAMP:20260428T122529
CREATED:20250226T122357Z
LAST-MODIFIED:20250409T100410Z
UID:23614-1748354400-1748359800@www.scienceofintelligence.de
SUMMARY:Jacob Davidson (Max Planck Institute for Animal Behavior\, Konstanz)
DESCRIPTION:More details to follow. \nThis talk is part of David Mezey‘s course “Introduction to Modeling Collective Behavior\, ” a seminar on collective behavior research\, combined with multiple interactive elements. \n  \n  \n  \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/jacob-davidson-max-planck-institute-for-animal-behavior-konstanz/
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/2025/02/chatgtp4.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250530T140000
DTEND;TZID=Europe/Berlin:20250530T160000
DTSTAMP:20260428T122529
CREATED:20250402T094459Z
LAST-MODIFIED:20250603T123920Z
UID:23998-1748613600-1748620800@www.scienceofintelligence.de
SUMMARY:Cornelia Fermüller (University of Maryland)\, “Computational Principles of Embodied Intelligence for Robust Motion Perception and Action”
DESCRIPTION:Abstract\nUnderstanding the computational principles of embodied intelligence is central to advancing robotic systems that perceive and act in complex environments. This talk explores key principles—low power consumption\, robustness\, and generalizability—as they emerge in the context of motion perception and action. For visual navigation\, evidence is presented that challenges the conventional SLAM paradigm\, which relies on correspondence estimation and 3D scene reconstruction. Instead\, 3D motion estimation and scene segmentation can be achieved using 1D normal flow measurements derived from image gradients\, offering a simpler and more robust alternative. The effectiveness of this approach is demonstrated through implementations on drones equipped with both standard and neuromorphic dynamic vision sensors. Further\, it is shown that physical interaction tasks do not necessarily require explicit depth estimation; rather\, distance can be inferred in action-dependent units grounded in control dynamics. Finally\, the role of visual motion in action understanding is examined\, focusing on how motion-derived primitives support robust and generalizable representations of action\, opening new avenues for embodied intelligence in robotic systems. \nThis talk is part of Aravind Battaje‘s course “Mind\, Body\, Environment: An Interactive Seminar on Embodied Intelligence\,” a seminar introducing to key theories and research highlighting this shift in perspective through invited lectures from experts in the field and interactive sessions. \nBio \nCornelia Fermüller is a Research Scientist at the University of Maryland’s Institute for Advanced Computer Studies (UMIACS)\, where she co-founded the Autonomy Cognition and Robotics (ARC) Lab and co-leads the Perception and Robotics Group. Her research lies at the intersection of computer vision\, robotics\, and human vision\, with a focus on biologically inspired solutions for active vision systems. She has made significant contributions to the understanding of visual perception by developing computational models for visual motion analysis\, 3D motion and shape estimation\, texture analysis\, and action recognition\, as well as integrating perception\, action\, and reasoning to enable cognitive robots to learn and interpret human manipulation actions. \nDr. Fermüller holds an M.S. from the University of Technology\, Graz\, and a Ph.D. in Applied Mathematics from the Technical University of Vienna. Her recent work emphasizes the use of event-based\, bio-inspired sensors for robust motion perception in challenging environments\, with applications ranging from fast motion perception for drones to autonomous driving in diverse lighting conditions. She is the principal investigator of an NSF-sponsored Science of Learning Center Network for Neuromorphic Engineering\, co-organizes the Neuromorphic Engineering and Cognition Workshop\, and has been recognized for her leadership in interdisciplinary research bridging computational modeling and psychophysical studies of human vision. \n  \nFor those who are not in Berlin but would like to join virtually:\nhttps://tu-berlin.zoom-x.de/j/69207754612?pwd=IKxoTdY3dQWccHpce2nA0IsNkNxPHu.1 \n  \nPhoto created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/cornelia-fermuller/
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/2025/02/chatgtp16.jpg
END:VEVENT
END:VCALENDAR