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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220714T100000
DTEND;TZID=Europe/Berlin:20220714T113000
DTSTAMP:20260619T124629
CREATED:20220711T104038Z
LAST-MODIFIED:20250603T130335Z
UID:12703-1657792800-1657798200@www.scienceofintelligence.de
SUMMARY:Katharina Scheiter (University of Potsdam)\, “Multimodal Learning: Underlying Processes and How To Support Them”
DESCRIPTION:Abstract:Theories of learning from multimodal sources (e.g.\, combinations of text and pictures\, aka multimedia) posit that in order to effectively learn from multimedia\, students need to select information from text and pictures\, organize the information in memory\, and most importantly\, integrate the information into one mental model. In the first part of my presentation\, I will focus on what is meant by text-picture integration by discussing results from empirical studies aimed at better understanding its underlying processes. In the second part of my presentation\, I will focus on ways to improve text-picture integration in educational settings through enhancing the design of the learning materials as well as nudging students into processing them more effectively. Eye tracking plays a major role in this research both as a research tool but also as an instructional tool to improve multimodal learning. \nPhoto by Element5 Digital on Unsplash \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-katharina-scheiter-university-of-potsdam-multimodal-learning-underlying-processes-and-how-to-support-them/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220623T100000
DTEND;TZID=Europe/Berlin:20220623T113000
DTSTAMP:20260619T124629
CREATED:20220523T090343Z
LAST-MODIFIED:20240813T100735Z
UID:12107-1655978400-1655983800@www.scienceofintelligence.de
SUMMARY:Nicolas Roth\, Aravind Battaje\, Adrian Sieler and Vincent Wall (Science of Intelligence)\, "Integration Hackathons for Behavior 1"
DESCRIPTION:A cornerstone of SCIoI are the three example behaviors that provide the motivation\, as well as the demonstration platforms to showcase the amazing research happening within the cluster. In order to get the ball rolling towards interesting example behaviors\, we have recently started regular “integration hackathon” meetings. They bring together people from different projects\, who identify achievable first integration steps\, and just start putting things together. \nIn this talk\, Nico from P1\, Aravind from P2\, and Adrian and Vincent from P17 will present this process. We will show the Behavior 1 escape room component that we selected for our first integration attempts\, explain which different research components come together to create the combined behavior\, and share some insights and observations we made along the way. In the end\, we hope to encourage everybody in SCIoI to think about integration steps and motivate people to get involved in the exciting\, rewarding (and necessary!) integration efforts for the example behaviors. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-thursday-morning-talk-adrian-sieler-nicolas-roth-aravind-battaje-vincent-wall/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220616T100000
DTEND;TZID=Europe/Berlin:20220616T110000
DTSTAMP:20260619T124629
CREATED:20220428T100808Z
LAST-MODIFIED:20240404T101644Z
UID:12001-1655373600-1655377200@www.scienceofintelligence.de
SUMMARY:Thursday Morning Talk with Andrea Iannelli (ETHZ)\, "Learning and Controlling: Robustness\, Informativity and Adaptation"
DESCRIPTION:Abstract: \nThe abundance of available data on the one hand\, and the increase in systems complexity caused by the need to cope with new challenging tasks on the other\, have put research on so-called learning and data-driven methods in the agenda of virtually every engineering field. Control theory is no exception. In fact\, some of its traditional fields have close connections with open problems in data science\, such as system identification (with regression and classification) and adaptive and stochastic optimal control (with reinforcement learning). The first part of the talk will give an overview of our ongoing work on basic research problems at the intersection between control theory and learning. This will be followed by a more detailed discussion on two projects that investigate the problem of controlling unknown dynamical systems from different perspectives. One blends behavioral system theory\, which sees dynamical systems as sets of trajectories\, and system identification\, concerned with identifying models from data using statistical and information theoretic tools. The other frames it as an optimal control problem and proposes a robust adaptive model predictive control with active learning components to address the tension between exploration and exploitation. A discussion on the current limitations\, future extensions\, and foreseeable challenges will conclude the talk. \n  \nPhoto by Markus Spiske on Unsplash
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-andrea-iannelli-ethz-learning-and-controlling-robustness-informativity-and-adaptation/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220609T100000
DTEND;TZID=Europe/Berlin:20220609T110000
DTSTAMP:20260619T124629
CREATED:20220428T093121Z
LAST-MODIFIED:20250604T092203Z
UID:11997-1654768800-1654772400@www.scienceofintelligence.de
SUMMARY:Dafna Burema; Mattis Jacobs (Science of Intelligence)\, “Workshop: Discussing Ethically Problematic “Incidents” of AI Systems”
DESCRIPTION:(In-person talk at Science of Intelligence) \nWorkshop: Discussing ethically problematic “incidents” of AI systems \nIn the Thursday morning talk\, we discuss ethically problematic incidents of AI that we selected from the AIAAIC Repository. In total\, we discuss four cases. \nIn a first step\, we present a brief overview what occurred in the respective cases\, based on media coverage. The audience is then invited to give a briefly assess the case: what went wrong? Which ethical values or principles were involved? How could the incident have been prevented? Who is responsible for what has happened and who could have prevented it? \nIn a second step\, we present how the respective case was assessed in the ethics-related academic literature and compare the assessment of the participants with the expert’s assessment. We conclude by inviting the participants to reflect on their own projects and potential problematic outcomes of their research. \n\nPhoto by Ehud Neuhaus on Unsplah
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-dafna-burema-matthis-jacobs/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220602T100000
DTEND;TZID=Europe/Berlin:20220602T110000
DTSTAMP:20260619T124629
CREATED:20220523T092237Z
LAST-MODIFIED:20240813T100915Z
UID:12113-1654164000-1654167600@www.scienceofintelligence.de
SUMMARY:Florian Blume\, Martin Maier\, Doris Pischedda\, Olga Wudarczyk-Markett and Murat Kirtay (Science of Intelligence)
DESCRIPTION:Abstract:\nSocial interaction and communication are supported by the integration of multimodal signals. One crucial social cue when interacting with other humans are facial expressions. In Project 8\, we study how people not only read information from faces\, but how they read meaning into faces based on context and prior knowledge. Incorporating sources of information in addition to what is actually visible (top-down processing) supports efficient\, robust\, context-adaptive visual perception. Neural networks designed to recognize facial expressions largely ignore such contextual information and are therefore inherently misaligned with human social perception. Closing this gap promises to make synthetic face processing at the same time more intelligent\, useful for human-machine interaction\, and ethically responsible. \nSuccessful social interaction relies on additional social factors and cognitive processes including partner co-representation (i.e.\, the representation of the partner’s actions alongside one’s own actions)\, emotion processing\, theory of mind (i.e.\, the ability to consider mental states – such as beliefs\, desires\, intentions – to predict people’s behaviour) and trust. In project 9\, we study processes underlying social communication in humans and assess potential changes in these processes when the interaction partner is an artificial agent. We use this knowledge to implement similar mechanisms in our robots and assess how this affects their performance along other dimensions\, such as trust or scaffolding. Our ultimate goal is to create robots with higher social intelligence that can interact smoothly with humans and other agents. \n  \n  \nPhoto by Yuyeung Lau on Unsplash
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-florian-blume-martin-maier-doris-pischedda-olga-wudarczyk-markett-and-murat-kirtay-2/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220519T100000
DTEND;TZID=Europe/Berlin:20220519T110000
DTSTAMP:20260619T124629
CREATED:20220512T081828Z
LAST-MODIFIED:20240917T063052Z
UID:12054-1652954400-1652958000@www.scienceofintelligence.de
SUMMARY:Tilman Geishauer\, "Virtual Reality - From Research to Market"
DESCRIPTION:Abstract: Tilman Geishauser is currently working at Somareality to create a virtual reality focused product out of a cognitive load algorithm based on pupillometry that has been in development for 8 years at Research Studios Austria. In the past he invented one of Germanys most promising VR tools: Halocline Layout. He lead his team at what is now Halocline up until product launch. In his presentations he will talk about making products for virtual reality and about making products in cooperation with research institutions and universities.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-tilman-geishauer-virtual-reality-from-research-to-market/
LOCATION:SCIoI\, MAR Building\, Marchstr. 23\, Berlin
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220505T100000
DTEND;TZID=Europe/Berlin:20220505T110000
DTSTAMP:20260619T124629
CREATED:20220421T101554Z
LAST-MODIFIED:20250604T092519Z
UID:11982-1651744800-1651748400@www.scienceofintelligence.de
SUMMARY:Rebecca Lazarides (Science of Intelligence)\, “From Understanding Learners’ Adaptive Motivation and Emotion to Designing Social Learning Companions”
DESCRIPTION:Abstract: \nHigh motivation and positive emotions are important prerequisites for effective knowledge transfer\, while negative emotions can impede the acquisition of new knowledge. This talk presents our current state of research in SCIoI’s project 06 that aims at identifying adaptive teaching strategies of humans\, and to synthesize them with the goal to test whether these strategies can be applied successfully by synthetic agents. To this end\, we conduct 3 experiments in which (a) we aim to build a model of adaptive teaching using an emotionally-and performance adaptive intelligent tutoring system (ITS) and to compare it to a cognitively-adaptive ITS in its effects on human emotional experience and learning performance; (b) we integrate the model of the emotionally-adaptive ITS in embodied agents (physical robots: Pepper and Cozmo) and compare its effectiveness in knowledge transfer to the traditional ‘on-screen’ form by examining humans’ learning outcomes across conditions; c) we test the adaptive mechanism in the social interaction of two robotic agents – a learner robot (Nao) and a tutor robot (Pepper) – in a scaffolding situation were both are equipped with simple emotional expression / recognition mechanisms. The talks provides an overview about our recent results\, their implications and perspectives for future research.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-rebecca-lazarides-from-understanding-learners-adaptive-motivation-and-emotion-to-designing-social-learning-companions/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220428T100000
DTEND;TZID=Europe/Berlin:20220428T110000
DTSTAMP:20260619T124629
CREATED:20220331T102930Z
LAST-MODIFIED:20250604T092531Z
UID:11880-1651140000-1651143600@www.scienceofintelligence.de
SUMMARY:Danny Driess\, Manuel Baum\, Katharina Hohlbaum\, Niek Andresen (Science of Intelligence)\, “Perspectives on the Gap Between Robotic Models and Observed Biological Behavior”
DESCRIPTION:Abstract: \n\n\n\n\n\n\n\n\nOne of SCIoI’s goals is to establish and evaluate synthetic models for biological data. Achieving this goal is clearly beneficial not only to produce more capable artificial behavior\, but also to get a better idea about the processes that may underlie biological intelligence. Why can a cockatoo or mouse open a lock box? What information do we need to provide an artificial agent to perform this task? While this goal is attractive in theory\, different projects in SCIoI face diverse practical problems on their way to fulfill this vision. In this joint talk we (Katharina Hohlbaum\, Niek Andresen\, Danny Driess\, and Manuel Baum) will discuss this topic from the perspectives of our individual projects. We aim not only to report on the challenges we face\, but would also like to discuss ideas to address these challenges with you.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-danny-driess-manuel-baum-katharina-hohlbaum/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220407T100000
DTEND;TZID=Europe/Berlin:20220407T110000
DTSTAMP:20260619T124629
CREATED:20220309T150435Z
LAST-MODIFIED:20240813T100340Z
UID:11789-1649325600-1649329200@www.scienceofintelligence.de
SUMMARY:Earlybird UNI-X
DESCRIPTION:Meet Philipp Semmer and Frederic du Bois-Reymond\, both partners at the venture capital firm Earlybird UNI-X. They will talk about funding for university spin-offs and why they believe that scientist and researcher should be more excited about entrepreneurship. They will also share their insights on deep tech companies becoming the next generation of unicorns. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-earlybird-uni-x/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220331T100000
DTEND;TZID=Europe/Berlin:20220331T110000
DTSTAMP:20260619T124629
CREATED:20220221T120156Z
LAST-MODIFIED:20240813T100346Z
UID:11727-1648720800-1648724400@www.scienceofintelligence.de
SUMMARY:Global Scientific Exchange Program - Part II
DESCRIPTION:The talks will be held by Emmanuel Ousu Ahenkan and Tatiana Ngoli Moteu Marcos.\n \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-the-global-scientific-exchange-program-part-ii/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220324T100000
DTEND;TZID=Europe/Berlin:20220324T110000
DTSTAMP:20260619T124629
CREATED:20220221T112735Z
LAST-MODIFIED:20240813T100353Z
UID:11716-1648116000-1648119600@www.scienceofintelligence.de
SUMMARY:Global Scientific Exchange Program - Part I
DESCRIPTION:The talks will be held by Arinze Lawrence Folarin\, “My 175 days journey in Berlin”; Juliana T.C. Marcos “GSEP Internship: More than a research experience in neuromorphic vision at SCIoI”; and Kiprono Elijah Koech “Action Recognition in a Wildlife Setting – Taken a Leap”. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-the-global-scientfic-program-part-i/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220317T100000
DTEND;TZID=Europe/Berlin:20220317T110000
DTSTAMP:20260619T124629
CREATED:20220110T145103Z
LAST-MODIFIED:20240813T100406Z
UID:11614-1647511200-1647514800@www.scienceofintelligence.de
SUMMARY:Henning Sprekeler (Science of Intelligence)\, "Architectural Design Principles for Intelligence: Modularity vs. Integration"
DESCRIPTION:Abstract: \nThe world is modular. So – intuitively – it seems clear that cognitive systems that deal with the world should benefit from a modular architecture. Simple or less important problems should use less cognitive resources than complex or important problems\, which – intuitively – may be achieved by changing the degree of modularity that a system uses. More modular\, less power consumption\, shallower processing; more integrated\, more power consumption\, deeper processing. Is this indeed the case? Is it beneficial for a cognitive system to regulate its degree of modularity depending on task demand? Does the human brain do this? How can a system determine which degree of modularity to use? In this talk\, we will first provide an update on the project\, and then invite everyone for discussion. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-henning-sprekeler-architectural-design-principles-for-intelligence-modularity-vs-integration/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/12/sprekeler_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220310T160000
DTEND;TZID=Europe/Berlin:20220324T170000
DTSTAMP:20260619T124629
CREATED:20220221T112423Z
LAST-MODIFIED:20250604T092603Z
UID:11712-1646928000-1648141200@www.scienceofintelligence.de
SUMMARY:Mark Nawrot (North Dakota University)\, “Pursuit Eye Movements in the Perception of Depth From Motion Parallax”
DESCRIPTION:Abstract: \nThe brain performs critical calculations on visual information as we swiftly\, yet effortlessly\, navigate around objects and obstacles in our cluttered environment. Perhaps one of the most important calculations is for the perception of depth using the apparent relative motion of objects in the environment created by our own translation known as motion parallax. This presentation will illustrate how the visual system relies on the combination of retinal image motion with a pursuit eye movement signal to quickly determine the relative depths of objects using motion parallax. Relative depth is accurately modelled with a simple formula known as the motion-pursuit ratio. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-afternoon-talk-with-mark-nawrot-north-dakota-university/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220303T160000
DTEND;TZID=Europe/Berlin:20220310T170000
DTSTAMP:20260619T124629
CREATED:20220221T112015Z
LAST-MODIFIED:20240813T100419Z
UID:11709-1646323200-1646931600@www.scienceofintelligence.de
SUMMARY:Chaz Firestone (Johns Hopkins University)\, "Seeing 'How'"
DESCRIPTION:Abstract: \nWhat is perception? The most intuitive and influential answer to this question has long been the one given by David Marr: To see the world is “to know what is where by looking” – to transform light into representations of objects and their features\, located somewhere ins pace. But is this all that perception delivers? Consider a figure composed by pieces of a puzzle; certainly you see some colored shapes\, as well as where they are located. Yet\, beyond this\, you may also see how they relate to one another: A\, say\, green piece can fit into the others\, and even create a new object with a shape of its own. \nIn this talk\, I present evidence that perception extracts relations between objects in much the same way as it processes the objects themselves\, and that these relations are abstract\, structured\, and surprisingly sophisticated. We’ll explore (and experience) the perception of several sophisticated relations between objects\, including combining\, supporting\, containing\, covering\, and fastening – as well as relational “illusions” in which objects appear to interact with mysteriously invisible entities. Together\, this work suggests that we see not only “what” and “where”\, but also “how”. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-afternoon-talk-with-chaz-firestone/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220217T100000
DTEND;TZID=Europe/Berlin:20220217T110000
DTSTAMP:20260619T124629
CREATED:20220117T152745Z
LAST-MODIFIED:20240813T100442Z
UID:11627-1645092000-1645095600@www.scienceofintelligence.de
SUMMARY:Yuejiang Liu (EPFL University)\, "Learning Beyond the IID Setting with Robust and Adaptive Representations"
DESCRIPTION:Abstract \nMachine learning models have achieved stunning successes in the IID setting. Yet\, beyond this setting\, existing models still suffer from two grand challenges: brittle under covariate shift and inefficient for knowledge transfer. In this talk\, I will introduce three approaches to tackle these challenges\, namely self-supervised learning\, causal representation learning\, and test-time training. More specifically\, I will share our recent findings on (i) incorporating prior knowledge of negative examples into representation learning\, (ii) promoting causal invariance and structure by making use of data from multiple domains\, (iii) exploiting extra information besides model parameters for effective test-time adaptation. I will show how these techniques enable deep neural networks to more robustly generalize and efficiently adapt to new environments in the motion or vision context. I will finally discuss the implications of these results on the design\, training\, and deployment of deep models for domain generalization and adaptation. Comments and feedback are more than welcome. \n  \nPaper Links \nSocial NCE: Contrastive Learning of Socially-Aware Motion Representations\, ICCV’21 \nTTT++: When Does Self-Supervised Test-Time Training Fail or Thrive? NeurIPS’21 \nCollaborative Sampling in Generative Adversarial Networks\, AAAI’20 \nTowards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective\, Preprint’21 (under review) \n  \nBio \nYuejiang Liu is a PhD student at EPFL\, advised by Alexandre Alahi. His research interests center around representation learning and its applications to autonomous agents. He is particularly excited about unsupervised learning for robust generalization and efficient adaptation. \n  \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-yuejiang-liu-epfl-university-learning-beyond-the-iid-setting-with-robust-and-adaptive-representations/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220210T100000
DTEND;TZID=Europe/Berlin:20220210T110000
DTSTAMP:20260619T124629
CREATED:20220131T105742Z
LAST-MODIFIED:20250604T092633Z
UID:11655-1644487200-1644490800@www.scienceofintelligence.de
SUMMARY:Mathilde Caron\, “Self-Supervised Learning: How To Learn From Images Without Human Annotations”
DESCRIPTION:Abstract:\nSelf-supervised learning (SSL) consists in training neural network systems without using any human annotations. Typically\, neural networks require large amounts of annotated data\, which have limited their applications in fields where accessing these annotations is expensive or difficult. Moreover\, manual annotations are biased towards a specific task and towards the annotator’s own biases\, which can result in noisy and unreliable signals. Training systems without annotations could lead to better\, more generic and robust representations. In this talk\, I will present different contributions to the fast-growing field of SSL conducted during my PhD. I will finish by discussing open questions and challenges for the future of SSL. \n  \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-mathilde-caron/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220127T100000
DTEND;TZID=Europe/Berlin:20220127T110000
DTSTAMP:20260619T124629
CREATED:20211221T062119Z
LAST-MODIFIED:20240813T100506Z
UID:11451-1643277600-1643281200@www.scienceofintelligence.de
SUMMARY:Dimitri Coelho Mollo (Science of Intelligence)\, "The Concept of Intelligence - A progress report"
DESCRIPTION:In this presentation\, I will report on the results of my work so far on the concept of intelligence\, summarising some of the main points and proposals made\, and opening the floor for open discussion about the topic. \n  \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-dimitri-coelho-mollo-scioi-the-concept-of-intelligence-a-progress-report/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220106T100000
DTEND;TZID=Europe/Berlin:20220106T110000
DTSTAMP:20260619T124629
CREATED:20211222T105550Z
LAST-MODIFIED:20250604T092730Z
UID:11457-1641463200-1641466800@www.scienceofintelligence.de
SUMMARY:Ruben Arslan (MPI Berlin): “Bad Science vs. Open Science. The Replication Crisis and Possible Ways Out.”
DESCRIPTION:Estimates from large-scale replication projects in psychology suggest that the majority of studies from top journals do not replicate. Using commonly accepted research methods\, several academic fields amassed prolific\, seemingly coherent literatures on phenomena that do not exist\, such as extrasensory perception and depression candidate genes. Throughout the biomedical and life sciences\, data detectives keep finding highly cited papers that are riddled with errors invalidating their conclusions. Our textbooks are full of findings that do not replicate or are otherwise in serious doubt.\nAcademia as a system has issues\, but can we use the scientific method to understand and remedy them? A vibrant reform movement is seeking to do so\, but it is hard to keep track of all the suggestions to do better and tell fads from truly beneficial reforms. I outline concrete plans and paths that could lead to lasting improvements\, such as PCI Registered Reports\, the Peer Reviewer’s Openness Initiative\, post publication peer review\, and guideline and incentive setting at the journal\, hiring and funding level.\n \n  \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-ruben-arslan-mpi-berlin-personal-and-social-information-search-and-integration-for-intelligent-decisions-on-climate-action/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211223T100000
DTEND;TZID=Europe/Berlin:20211223T110000
DTSTAMP:20260619T124629
CREATED:20211125T115919Z
LAST-MODIFIED:20240813T095249Z
UID:11168-1640253600-1640257200@www.scienceofintelligence.de
SUMMARY:Elke Weber (Princeton University)\, "Personal and Social Information Search and Integration for Intelligent Decisions on Climate Action"
DESCRIPTION:Abstract:\nSome of my past and current research looks at “decisions from  experience\,” i.e.\, decisions based on the personally experienced outcomes of past choices\, along the lines of reinforcement learning models and how such learning and updating is related to and differs from the way in which people and other intelligent agents use other sources of information\, e.g.\, vicarious feedback (anecdotal/social and/or in the form of statistical distributions of outcomes) or science- or model-based outcome predictions.  What happens when these different sources of forecasts of the consequences of choices disagree with each other? How do such conflicts get resolved?  How do these different ways of learning and updating over time lie at the basis of the formation and/or modification of social norms?  And how can answers to this complex of questions be put to use to motivate greater action on climate change? \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-elke-weber-princeton-university-personal-and-social-information-search-and-integration-for-intelligent-decisions-on-climate-action/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211216T160000
DTEND;TZID=Europe/Berlin:20211216T173000
DTSTAMP:20260619T124629
CREATED:20211118T084943Z
LAST-MODIFIED:20250604T092741Z
UID:11010-1639670400-1639675800@www.scienceofintelligence.de
SUMMARY:Lars Chittka (Queen Mary\, University of London)\, “The Mind of a Bee”
DESCRIPTION:Abstract: Bees have a diverse instinctual repertoire that exceeds in complexity that of most vertebrates. This repertoire allows the social organisation of such feats as the construction of precisely hexagonal honeycombs\, an exact climate control system inside their home\, the provision of the hive with commodities that must be harvested over a large territory (nectar\, pollen\, resin\, and water)\, as well as a symbolic communication system that allows them to inform hive members about the location of these commodities. However\, the richness of bees’ instincts has traditionally been contrasted with the notion that bees’ small brains allow little behavioural flexibility and learning behaviour. This view has been entirely overturned in recent years\, when it was discovered that bees display abilities such as counting\, attention\, simple tool use\, learning by observation and metacognition (knowing their own knowledge). Thus\, some scholars now discuss the possibility of consciousness-like phenomena in the bees. These observations raise the obvious question of how such capacities may be implemented at a neuronal level in the miniature brains of insects. We need to understand the neural circuits\, not just the size of brain regions\, which underlie these feats. Neural network analyses show that cognitive features found in insects\, such as numerosity\, attention and categorisation-like processes\, may require only very limited neuron numbers. Using computational models of the bees’ visual and olfactory systems\, we explore whether seemingly advanced cognitive capacities might ‘pop out’ of the properties of relatively basic neural processes in the insect brain’s visual processing area\, and their connection with the mushroom bodies\, higher order learning centres in the brains of insects. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/distinguished-speaker-series-lars-chittka-queen-mary-university-of-london-the-mind-of-a-bee/
LOCATION:TU Berlin
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211216T100000
DTEND;TZID=Europe/Berlin:20211216T110000
DTSTAMP:20260619T124629
CREATED:20211125T115451Z
LAST-MODIFIED:20250604T092750Z
UID:11159-1639648800-1639652400@www.scienceofintelligence.de
SUMMARY:Romain Couillet (University Grenoble-Alps\, France)\, “Random Matrices Could Steer the Dangerous Path Taken by AI but Even That Is Likely Not Enough”
DESCRIPTION:Abstract:\nLike most of our technologies today\, AI dramatically increases the world’s carbon footprint\, thereby strengthening the severity of the coming downfall of life on the planet. In this talk\, I propose that recent advances in large dimensional mathematics\, and especially random matrices\, could help AI engage in the future economic growth. This being said\, even those mitigating solutions are only temporary in regards to the imminence of collapse\, which calls for drastically more decisive changes in the whole research and industry world. I will discuss these aspects in a second part and hope to leave ample time for discussion. \nHosted by Pia Bideau \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-romain-couillet-university-grenoble-alps-france-random-matrices-could-steer-the-dangerous-path-taken-by-ai-but-even-that-is-likely-not-enough/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211209T100000
DTEND;TZID=Europe/Berlin:20211216T110000
DTSTAMP:20260619T124629
CREATED:20211125T115420Z
LAST-MODIFIED:20250604T092800Z
UID:11164-1639044000-1639652400@www.scienceofintelligence.de
SUMMARY:Eric J. Johnson (Columbia University\, US)\, “Can We Improve Choices by Changing How Choices Are Posed?”
DESCRIPTION:Abstract:\nChoice architecture suggests that much of what we decide is influenced by that options are presented. This means that the choice environment can encode intelligence that will help (or can hurt) the decision maker. The talk will start by reviewing some results from choice architecture and describe how the environment can affect choice through the choice of strategy and emphasize the role of memory. I will then turn toward developments in studying choice processes including online process tracing techniques and recent developments in the application of eye-tracking using web-based cameras. Finally\, I will talk about applications to presenting consumers and policy makers with information to support sustainable decisions. \nHosted by Oliver Brock\n \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-eric-j-johnson-columbia-university-us-can-we-improve-choices-by-changing-how-choices-are-posed/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211202T100000
DTEND;TZID=Europe/Berlin:20211202T110000
DTSTAMP:20260619T124629
CREATED:20211116T143117Z
LAST-MODIFIED:20250604T092818Z
UID:10999-1638439200-1638442800@www.scienceofintelligence.de
SUMMARY:Kate Storrs (Justus Liebig University\, Giessen)\, “Modelling Mid-Level Vision With Unsupervised Learning”
DESCRIPTION:Abstract:\nModels of vision have come far in the past 10 years. Deep neural networks can recognise objects with near-human accuracy\, and predict brain activity in high-level visual regions. However\, most networks require supervised training using ground-truth labels for millions of images\, whereas brains must somehow learn from sensory experience alone. We have been using unsupervised deep learning\, combined with computer-rendered artificial environments\, as a framework to understand how brains learn rich scene representations without ground-truth information about the world. I will show how an unsupervised deep neural network trained on an artificial environment of surfaces that have different shapes\, materials and lighting\, spontaneously comes to encode those factors in its internal representations. Most strikingly\, the model makes patterns of errors in its perception of material that follow\, on an image-by-image basis\, the patterns of errors made by human observers. Unsupervised deep learning may provide a coherent framework for how many perceptual dimensions form\, in mid-level vision and beyond. \nHosted by Martin Rolfs \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-kate-storr-justus-liebig-university-giessen-modelling-mid-level-vision-with-unsupervised-learning/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210923T100000
DTEND;TZID=Europe/Berlin:20210923T110000
DTSTAMP:20260619T124629
CREATED:20210920T083846Z
LAST-MODIFIED:20240813T093849Z
UID:10644-1632391200-1632394800@www.scienceofintelligence.de
SUMMARY:Tina Klüwer (Science of Intelligence)\, AI Director Science & Startups
DESCRIPTION:Through a talk followed by a discussion and Q&A\, AI Director at Science & Startups Tina Klüwer will explore the joint programmes and resources offered by Berlin’s universities to those wishing to successfully start and develop a company\, also explaining what support is available. \nBIO:\nDr. Tina Klüwer is a recognized expert\, manager and technical ambassador for the topic of Artificial Intelligence and its implementation in business.\nCurrently\, she leads the AI project of Science & Startups\, the network of startup services of the Berlin universities and the Charité Universitätsmedizin Berlin.\nBefore starting the project\, she was founder and CEO of parlamind GmbH\, a company for automation in customer service through AI and language processing. After the successful exit of the business\, she led its four sister companies as technical director. Previously she worked as a researcher at the German Research Center for Artificial Intelligence (DFKI)\, the Bonn University and Freie Universität Berlin\, Germany for over ten years. She received her PhD thesis in computational linguistics from Saarland University.\nTina Klüwer is board member of the German KI Bundesverband (Federal Association for AI)\, Chairwoman of the Technological Sovereignty Advisory Council of the Federal Ministry of Education and Research\, as well as part of the coordination group for AI Standardization by Federal Ministry for Economic Affairs and Energy (BMWI) and DIN. She was also an expert member of the German Bundestag’s two-year Enquete Commission on Artificial Intelligence. \n  \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-tina-kluwer-ai-director-science-startups/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210715T100000
DTEND;TZID=Europe/Berlin:20210715T110000
DTSTAMP:20260619T124629
CREATED:20210526T110411Z
LAST-MODIFIED:20250604T095521Z
UID:10233-1626343200-1626346800@www.scienceofintelligence.de
SUMMARY:Dimitri Coelho Mollo (SCIoI)\, “Modelling Intelligence: The Good\, the Bad\, and the Plural”
DESCRIPTION:Abstract:  I argue that artificial intelligence research has been both fuelled and hindered by the use of ‘model tasks’\, that is\, tasks the solution of which are taken to be sufficient for\, or at least indicative of intelligence. Before AI proper\, cybernetics explored model tasks involving basic real-time and world-involving action control aimed at the maintenance of homeostasis\, an approach echoed more recently by the embodied AI movement. Logicist AI\, in contrast\, took as model tasks for intelligence the solution of abstract problems\, such as theorem-proving and proficiency in combinatorially complex games\, chess having pride of place. Connectionist AI – including the current deep learning wave – despite privileging model tasks tied to learning from ‘experience’\, shares this focus on abstract\, disembodied behaviours as key to intelligence\, with particular effort being done in language processing\, categorisation\, and combinatorially complex games\, such as Go. Reliance on model tasks has led to considerable progress in solving those specific tasks\, but against expectation they did not lead to theoretical insights about the nature of intelligence in general\, and how to build it. This outcome\, I argue\, is in part due to the failure of recognising the limited scope of model tasks\, as well as the abstractions and idealisations of real-world intelligent behaviour that they embody. All mainstream frameworks in AI research\, in brief\, focus on circumscribed\, idealised models of intelligent behaviour\, those for which the respective approaches tend to generate cumulative progress and satisfactory solutions. Such models\, however\, abstract or idealise away important features of intelligence\, and\, if unchecked\, close off potentially rewarding paths of research. Bringing to the fore the limitations tied to such model task choices\, as well as the abstractions and idealisation involved in each\, I argue\, opens the way for a more integrative and plural approach to AI. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-work-in-progress-dimitri-coelho-mollo-scioi-modelling-intelligence-the-good-the-bad-and-the-plural/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210701T100000
DTEND;TZID=Europe/Berlin:20210701T110000
DTSTAMP:20260619T124629
CREATED:20210526T105942Z
LAST-MODIFIED:20250604T095539Z
UID:10226-1625133600-1625137200@www.scienceofintelligence.de
SUMMARY:Rasmus Rothe\, PhD (Merantix)\, “How To Build a (Deep Tech) Startup”
DESCRIPTION:Abstract: Rasmus Rothe is Co-Founder at Merantix\, the Artificial Intelligent Venture Studio. In this talk he will give insight into how a deep tech startup is built via ideation\, incubation and scaling\, and the specifics and challenges of working with technology AI in the process. \nBIO: Rasmus Rothe is the co-founder and CTO of Berlin-based Merantix\, the world’s first venture studio for AI\, co-initioator of the AI Campus Berlin\, the leading AI community hub in Berlin\, and a renowned deep learning researcher. He has published over 15 academic papers with more than 1000 citations on deep learning while attending Oxford\, Princeton\, and ETH Zurich\, where he received his Ph.D and launched a face recognition service with 150m+ users. In 2019\, he was featured on Forbes “30 under 30”. Rasmus is a founding board member of the German Association of AI\, devising and implementing the national AI strategy in close cooperation with the German government. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-rasmus-rothe-phd-merantix-how-to-build-a-deep-tech-startup/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210617T100000
DTEND;TZID=Europe/Berlin:20210617T110000
DTSTAMP:20260619T124629
CREATED:20210429T080929Z
LAST-MODIFIED:20240813T093732Z
UID:10115-1623924000-1623927600@www.scienceofintelligence.de
SUMMARY:Jose Hernandez-Orallo (Valencia/Cambridge)\, "The Generality of Natural and Artificial Intelligence: Task Difficulty as the Elephant in the Room"
DESCRIPTION:Abstract: Understanding and recreating intelligence is possibly the biggest scientific challenge of our time. Evolution has produced organisms that are highly specialised for some cognitive tasks\, whereas others present what has been called general intelligence\, with humans identified as the paragon. Artificial intelligence (AI)\, despite decades of efforts to achieve generality\, is still specialised. It is a major research question to disentangle the notion of general intelligence\, by clearly determining what generality is and how it can be measured for individuals rather than populations. Under limited resources\, we must overhaul the classical yet misleading interpretation of general intelligence as ‘success in all sorts of situations’ and introduce a new view of generality as ‘comprehensive performance up to a level of difficulty’. The degree of generality then refers to the way an agent’s capability is distributed as a function of task difficulty\, according to environmental and cognitive pressures. This dissects the notion of general intelligence into two non-populational measures\, generality and capability. We interpret and apply these measures with humans\, non-human animals and AI systems. The choice of the difficulty function now plays a prominent role in this new conception of generality\, which brings a quantitative tool for shedding light on long-standing questions about the evolution of general intelligence and the evaluation of progress in Artificial General Intelligence. \nHosted by Dimitri Coelho Mollo \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions) \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-jose-hernandez-orallo-valencia-cambridge-the-generality-of-natural-and-artificial-intelligence-task-difficulty-as-the-elephant-in-the-room/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210211T100000
DTEND;TZID=Europe/Berlin:20210211T110000
DTSTAMP:20260619T124629
CREATED:20210126T093136Z
LAST-MODIFIED:20250604T095716Z
UID:9602-1613037600-1613041200@www.scienceofintelligence.de
SUMMARY:Alice Auersperg\, “COCKATOOLS: Innovative Tool Use and Manufacture in the Goffin’s Cockatoo”
DESCRIPTION:Finding flexible tool use and manufacture in non-specialized animals\, may contribute to our understanding of the origins of tool-related cognition. Goffin’s cockatoos are Indonesian parrots that originate from a small archipelago in the Moluccas. They are highly opportunist generalists that forage on a large number of different and often patchily distributed or seasonal resources. Accordingly\, they show flexibility and innovativeness during physical problem solving and extractive foraging tasks. Yet more unexpectedly\, in captivity and more recently also in the field we discovered highly flexible tool using and manufacturing abilities rivalling those of the great apes.\nNevertheless\, Goffin’s cockatoos are not dependent on tool obtained resources and lack two ecological predispositions (nest building and food caching) that have been proposed to promote the onset of tool use in birds.\nSo far\, our findings suggest that tool use in this species is associated to opportunism\, extreme extractive foraging and a strong psychological motivation to establish complex object combinations. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/thursday-morning-lecture-with-alice-auersperg/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210204T100000
DTEND;TZID=Europe/Berlin:20210204T230000
DTSTAMP:20260619T124629
CREATED:20210125T164206Z
LAST-MODIFIED:20250604T095741Z
UID:9553-1612432800-1612479600@www.scienceofintelligence.de
SUMMARY:Christa Thöne-Reinecke\, “Ethical Justification of Animal Experiments in Germany”
DESCRIPTION:All animal ethical positions are largely in agreement that animals – as beings capable of suffering – must be morally considered for their own sake and that certain consequences for one’s own actions must be derived from this.\nThis insight has been incorporated into animal protection legislation based on the EU Directive 2010/63.\nGerman legislation requires a reasonable justification of the pain\, suffering\, and harm inflicted on animals.\nFor this reason\, every scientist must demonstrate ethical justifiability of the intended experiment in accordance with the principle of proportionality within the framework of the approval procedure of animal experiments.\nMore specifically\, it must be demonstrated that no alternative method in reaching the project´s aims exists. Furthermore\, the project´s indispensability must be scientifically explained and it must be assigned to a permissible purpose. Study planning must be carried out by implementing statistical methods to reduce the number of animals and their burden to the indispensable level.\nAnimal keeping and medical care must be ensured by the permission to keep and breed animals in the context of a culture of care.\nUltimately\, the expected gain in knowledge must be set in relation to the burden inflicted on the animals and must be ethically justifiable or may even be considered an ethical imperative.\nThe scientist´s proposal and declarations are then revised by the animal welfare officer and\, if applicable\, by the ethics committee of respective institution.\nIt is then further examined by the local authorities and the §15 Commission\, in which ethics experts and animal welfare organizations are actively involved.\nAfter this revision process\, also involving the responsible scientist\, the final examination and approval is carried out by the local authorities.\nIt must be considered that ethical concepts and attitudes of society may be subject to change in the course of time. Hence\, a high degree of transparency is necessary in order to maintain public approval. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-lecture-christa-thone-reinecke/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201203T100000
DTEND;TZID=Europe/Berlin:20201203T110000
DTSTAMP:20260619T124629
CREATED:20201130T132146Z
LAST-MODIFIED:20240813T105558Z
UID:9231-1606989600-1606993200@www.scienceofintelligence.de
SUMMARY:Michael Pauen
DESCRIPTION:BIO: Michael Pauen is a philosopher with a focus on the philosophy of mind. As the academic director of an interdisciplinary graduate school\, he has extensive experience in interdisciplinary research and training. Having a specific interest in philosophical and psychological aspects of human sociality\, he will focus on social intelligence both in humans and in artificial systems. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/thursday-mornng-lecture-michael-pauen/
LOCATION:On ZOOM (Contact communication@scioi.de for link)
CATEGORIES:Thursday Morning Talk
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END:VEVENT
END:VCALENDAR