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X-WR-CALDESC:Events for scienceofintelligence.de
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TZID:Europe/Berlin
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230617T093000
DTEND;TZID=Europe/Berlin:20230617T210000
DTSTAMP:20260404T134747
CREATED:20230529T132103Z
LAST-MODIFIED:20240429T132202Z
UID:19361-1686994200-1687035600@www.scienceofintelligence.de
SUMMARY:Lange Nacht der Wissenschaften 2023 - Meet Pepper
DESCRIPTION:Who is Pepper? The humanoid robot we use in our labs helps us understand social interactions between robots and humans\, and if it’s easy to see why that works so well. Pepper is designed to quickly develop a connection with its human interlocutor. Come and try it for yourself!
URL:https://www.scienceofintelligence.de/event/lange-nacht-der-wissenschaften-2023-meet-pepper/
CATEGORIES:For the Public
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230617T093000
DTEND;TZID=Europe/Berlin:20230617T210000
DTSTAMP:20260404T134747
CREATED:20230529T131720Z
LAST-MODIFIED:20250603T125838Z
UID:19356-1686994200-1687035600@www.scienceofintelligence.de
SUMMARY:Lange Nacht Der Wissenschaften 2023 – Rediscovering Intelligence – Learning\, Thinking and Acting in Mind and Machine
DESCRIPTION:Under what conditions does a system behave intelligently? What meaning does the attribution of intelligent behavior to non-human systems carry? The event illustrates different perspectives from the philosophy of cognition and invites a joint discussion of these questions. (Event in German)
URL:https://www.scienceofintelligence.de/event/lange-nacht-der-wissenschaften-2023-rediscovering-intelligence-learning-thinking-and-acting-in-mind-and-machine/
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/05/robottino-1536x1152-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230615T100000
DTEND;TZID=Europe/Berlin:20230615T110000
DTSTAMP:20260404T134747
CREATED:20230515T103356Z
LAST-MODIFIED:20240813T102222Z
UID:15424-1686823200-1686826800@www.scienceofintelligence.de
SUMMARY:Ulrike Scherer and Sean Ehlman (Science of Intelligence)
DESCRIPTION:Abstract: \nCollective dynamics play a crucial role in everyday decision-making. Whether social influence promotes the spread of accurate information and ultimately results in collective intelligence or leads to false information cascades and maladaptive social contagion depends on the cognitive mechanisms underlying social interactions. \nThis talk will take place in person at SCIoI. \n  \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-project-21/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230608T100000
DTEND;TZID=Europe/Berlin:20230608T110000
DTSTAMP:20260404T134747
CREATED:20230320T103137Z
LAST-MODIFIED:20240813T102253Z
UID:15001-1686218400-1686222000@www.scienceofintelligence.de
SUMMARY:Oussama Zenkri and Florian Bolenz (Science of Intelligence)\, "Complex Behavior From Simple Strategies"
DESCRIPTION:Abstract: \nIn our project\, we explore the idea that complex\, intelligent behavior can be generated by selecting from simple strategies in a smart way. In the first part\, we will talk about how we tested this idea of strategy selection in the context of human decision making under risk\, and we will discuss the potential and remaining challenges of this approach. In the second part\, we will move to more complex behavior and present a lockbox-like task that we have designed to investigate strategy learning and strategy selection in human exploration behavior. \nThis talk will take place in person at SCIoI. \n  \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-ousama-zenkri-and-florian-bolenz/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230601T100000
DTEND;TZID=Europe/Berlin:20230601T110000
DTSTAMP:20260404T134747
CREATED:20230515T103018Z
LAST-MODIFIED:20250603T125855Z
UID:15421-1685613600-1685617200@www.scienceofintelligence.de
SUMMARY:Milagros Miceli\, “Transparency for Whom? Designing Data Documentation With Data Workers”
DESCRIPTION:Abstract:  \nThe opacity of datasets poses a significant challenge to creating inclusive and intelligible machine learning (ML) systems. Various AI ethics initiatives have addressed this issue by proposing standardized dataset documentation frameworks based on the value of transparency.  In this talk\, I propose a shift of perspective: from documenting for transparency to documenting for reflexivity. Based on a long-term project with outsourced data workers in Argentina\, Bulgaria and Syria\, I argue for the need of designing documentation starting from the needs and experience of the workers who collect\, sort\, and label the data that trains ML models. This requires considering the historical inequalities\, working conditions\, and epistemological standpoints that shape both data work and datasets. \nThis talk will take place in person at SCIoI. \nPhoto by Hunter Harritt on Unsplash \n  \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-dr-milagros-miceli/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/05/hunter-harritt-Ype9sdOPdYc-unsplash.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230525T100000
DTEND;TZID=Europe/Berlin:20230525T110000
DTSTAMP:20260404T134747
CREATED:20230502T161051Z
LAST-MODIFIED:20240813T102306Z
UID:15305-1685008800-1685012400@www.scienceofintelligence.de
SUMMARY:Shintaro Shiba\, "From Events to Motion to its Applications"
DESCRIPTION:Abstract:\n\nEstimating motion from image sensors is a fundamental problem in computer vision and robotics. Event cameras are novel bio-inspired sensors that provide a signal suitable for estimating motion because their pixels naturally respond to intensity changes\, which are tightly related to motions in the scene. However\, event data is fundamentally different from conventional frame data\, which leads us to rethink visual processing. In this talk\, we focus on a single problem setting: motion estimation using an event camera\, where we show an example where such a rethinking plays an important role. Furthermore\, we demonstrate how the estimated motion can be further utilized to various downstream tasks\, such as depth estimation\, motion segmentation\, intensity reconstruction\, and imaging fluctuations of air density. We hope to deepen the understanding of various motion estimation tasks in the emerging field of event-based vision.\n\nThis talk will take place in person at SCIoI. \nPhoto kinldy provided by Shintaro Shiba. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-shintaro-shiba/
LOCATION:MAR 2.057
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/05/image0.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230520T100000
DTEND;TZID=Europe/Berlin:20230520T180000
DTSTAMP:20260404T134747
CREATED:20230418T104532Z
LAST-MODIFIED:20240813T102317Z
UID:15219-1684576800-1684605600@www.scienceofintelligence.de
SUMMARY:“Future of Air - Speculative Workshop Series” - Breathing in\, Breathing out (in English)
DESCRIPTION:Workshop title: Breathing in\, Breathing out\nTheme: Practices of Air\nWhere: YOGA at Lobe Block \n  \nWe are breathing beings. Every breath reconnects us to ourselves\, to our fellow beings\, and to our environment. The act of breathing usually does not require any thought. Yet\, our emotions and memories have a strong impact on our respiratory system – and vice versa. \nHow can we tune into the vital experience that makes air flow through our bodies? What do the molecules travelling through my lungs carry with them? Nourishment\, pollutants\, memories? \nWhere do we – individually and collectively – intersect through this bodily practice with the planetary carbon cycle? What if the access to clean air would become a mandate for societies in the foreseeable future? In this workshop\, somatic exercises are intertwined with questions of planetary breathability. \nWith an input by Yoonha Kim (HU Berlin/Matters of Activity\, Anthropology) \nFrom 16 years\, free of charge. \nRegistration open until 11.05.2023 \n  \nAbout the workshop series:\nAir is invisible. Air surrounds us and connects us – as people and as living beings. Air is material. What happens when we become aware of air? What\ndoes air tell us? How can we deal with it – now and in the future\, individually and as societies? In the workshop series „Futures of Air“ we invite you to speculate about the futures of air – together with researchers from the Clusters of Excellence „Matters of Activity“ and „Science of Intelligence“. In three independent co-design workshops\, we explore the properties of air as a material\, negotiate its role in our lives\, and imagine possible (and impossible) futures with it. We are looking for people ages 16 and up who are interested in speculating with us – people interested in materials\, experimenters and the curious. \nFurther information and registration at: www.collactive-materials.de \n 
URL:https://www.scienceofintelligence.de/event/future-of-air-speculative-workshop-series-breathing-in-breathing-out-in-english/
CATEGORIES:External Event
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2023/04/Screenshot-2023-04-18-at-15.23.02-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230516T100000
DTEND;TZID=Europe/Berlin:20230516T180000
DTSTAMP:20260404T134747
CREATED:20230418T104213Z
LAST-MODIFIED:20241007T113006Z
UID:15217-1684231200-1684260000@www.scienceofintelligence.de
SUMMARY:“Future of Air - Speculative Workshop Series” - Von Kontrolle zu Kooperation (in German)
DESCRIPTION:Workshop title: Von Kontrolle zu Kooperation\nTheme: Air as Technology\nWhere: silent green Kulturquartier \n  \n\n\nBetonindustrie\, Verbrennungsmotor\, Google-Suchanfrage – Technologie wird heute an ihrer CO₂-Emission gemessen. Unsere technische Kultur hat Karriere gemacht durch einen allzu sorglosen und zerstörerischen Umgang mit Ressourcen. Dabei wird vor allem der Versuch unternommen\, Materialien und Umgebungen zu kontrollieren. Und das in einem drastischen Umfang.* \nWie würde eine Welt aussehen\, in der Technik ganz anders funktioniert? Was geschieht\, wenn wir Luft und ihre Eigenschaften selbst als Technologien begreifen würden? Welche neuen Möglichkeiten zur Kooperation könnten sich daraus ergeben?  \nMit Inputs von Oliver Brock (TU Berlin/Science of Intelligence\, Soft Robotics)\, Martin Müller (HU Berlin/ Matters of Activity\, Kulturwissenschaft) und Léa Perraudin (HU Berlin/ Matters of Activity\, Medienwissenschaft) \n*Das Gewicht des Menschengemachten (von Dingen über Gebäuden zu ganzen Infrastrukturen) übersteigt mittlerweile die Masse des gesamten Lebens auf der Erde. \nAb 16 Jahren\, kostenfrei. \nRegistrierung offen bis zum 07.05.2023 \n  \n\n\nAbout the workshop series:\nAir is invisible. Air surrounds us and connects us – as people and as living beings. Air is material. What happens when we become aware of air? What\ndoes air tell us? How can we deal with it – now and in the future\, individually and as societies? In the workshop series „Futures of Air“ we invite you to speculate about the futures of air – together with researchers from the Clusters of Excellence „Matters of Activity“ and „Science of Intelligence“. In three independent co-design workshops\, we explore the properties of air as a material\, negotiate its role in our lives\, and imagine possible (and impossible) futures with it. We are looking for people ages 16 and up who are interested in speculating with us – people interested in materials\, experimenters and the curious. \nFurther information and registration for the limited places at: www.collactive-materials.de \n 
URL:https://www.scienceofintelligence.de/event/future-of-air-speculative-workshop-series-luft-als-technologie-in-german/
CATEGORIES:External Event
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230511T100000
DTEND;TZID=Europe/Berlin:20230511T110000
DTSTAMP:20260404T134747
CREATED:20230320T101238Z
LAST-MODIFIED:20240813T102328Z
UID:14994-1683799200-1683802800@www.scienceofintelligence.de
SUMMARY:Lauren Sumner-Rooney
DESCRIPTION:More details to follow. \nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-lauren-sumner-rooney/
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2023/03/Rooney-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230506T100000
DTEND;TZID=Europe/Berlin:20230506T180000
DTSTAMP:20260404T134747
CREATED:20230418T103954Z
LAST-MODIFIED:20240813T102333Z
UID:15214-1683367200-1683396000@www.scienceofintelligence.de
SUMMARY:“Future of Air - Speculative Workshop Series” - Es liegt was in der Luft (in German)
DESCRIPTION:Workshop title: Es liegt was in der Luft \nTheme: Stage and the Environment\nWhere: Hochschule für Schauspielkunst Ernst Busch \n\n\nIm Anthropozän\, dem sogenannten ‘Zeitalter des Menschen’\, ist die Umwelt zur Bühne geworden. Auf dieser Bühne zeigen sich ökologische Ausnahmezustände und drohende klimatische Kipppunkte. Unsere Rolle ist es\, auszuhandeln\, wie es weitergehen kann: Der Verlauf der erdgeschichtlichen Erzählung liegt in unserer Verantwortung. \nWas passiert\, wenn wir klimatische Experimente in den Verhandlungsraum der Bühne holen? Wie kommen dort individuelle Erfahrungen\, statistische Daten und verkörpertes Wissen zusammen? Im Workshop suchen wir nach neuen Klima-Fiktionen\, die andere Geschichten von Emission\, von reisendem Staub und vom Wolkenmachen erzählen können. \nMit Inputs von Studierenden des Masterstudiengangs Spiel + Objekt \nAb 16 Jahren\, kostenfrei. \nRegistrierung offen bis zum 27.04.2023 \n\n\n  \nAbout the workshop series:\nAir is invisible. Air surrounds us and connects us – as people and as living beings. Air is material. What happens when we become aware of air? What\ndoes air tell us? How can we deal with it – now and in the future\, individually and as societies? In the workshop series „Futures of Air“ we invite you to speculate about the futures of air – together with researchers from the Clusters of Excellence „Matters of Activity“ and „Science of Intelligence“. In three independent co-design workshops\, we explore the properties of air as a material\, negotiate its role in our lives\, and imagine possible (and impossible) futures with it. We are looking for people ages 16 and up who are interested in speculating with us – people interested in materials\, experimenters and the curious. \nFurther information and registrationat: www.collactive-materials.de \n 
URL:https://www.scienceofintelligence.de/event/future-of-air-speculative-workshop-series-es-liegt-was-in-der-luft-in-german/
CATEGORIES:External Event
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230504T160000
DTEND;TZID=Europe/Berlin:20230504T173000
DTSTAMP:20260404T134747
CREATED:20230119T093257Z
LAST-MODIFIED:20250212T103308Z
UID:14071-1683216000-1683221400@www.scienceofintelligence.de
SUMMARY:Guillermo Gallego (Science of Intelligence)\, "Event-based Vision at the TU Berlin Robotic Interactive Perception Lab"
DESCRIPTION:More details to follow.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-guillermo-gallego-2/
LOCATION:MAR 2.057
CATEGORIES:PI Lecture
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230504T100000
DTEND;TZID=Europe/Berlin:20230504T110000
DTSTAMP:20260404T134747
CREATED:20230320T100436Z
LAST-MODIFIED:20250603T125924Z
UID:14992-1683194400-1683198000@www.scienceofintelligence.de
SUMMARY:Radoslaw Cichy\, “Deep Neural Networks As Scientific Models of Vision”
DESCRIPTION:Abstract: \nArtificial deep neural networks (DNNs) are used in many different ways to address scientific questions about how biological vision works. In spite of the wide usage of DNNs in this context\, their scientific value is periodically questioned. I will argue that DNNs are good in three ways for vision science: for prediction\, for explanation\, and for exploration. I will illustrate these claims by recently published or still ongoing projects in the lab. I will also propose future steps to accelerate progress. \nThis talk will take place in person at SCIoI. \nPhoto kindly provided by Radoslaw Cichy. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-radoslaw-cichy/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230427T130000
DTEND;TZID=Europe/Berlin:20230427T160000
DTSTAMP:20260404T134747
CREATED:20230418T091533Z
LAST-MODIFIED:20241007T112900Z
UID:15186-1682600400-1682611200@www.scienceofintelligence.de
SUMMARY:Girls' Day 2023 at SCIoI 
DESCRIPTION:It’s that time of year again! Every April\, school girls all over Germany visit scientific institutions to get inspiration for their future careers. SCIoI has participated in this event twice before\, and we will be hosting another group of girls this coming 27 April. The event will start with some inspiring talks by our members Maria Ott\, Julten Abdelhalim\, Vito Mengers & the RBO Team\, Magdalena Yordanova\, Nina Poth\, and Lea Musiolek. It will follow an interactive lab tour. Contact the Communication office if you would like to be involved in this exciting event. \nMore info here.
URL:https://www.scienceofintelligence.de/event/girls-day-at-scioi/
LOCATION:MAR 2.057
CATEGORIES:External Event
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230420T160000
DTEND;TZID=Europe/Berlin:20230420T173000
DTSTAMP:20260404T134747
CREATED:20230119T093158Z
LAST-MODIFIED:20240813T102404Z
UID:14068-1682006400-1682011800@www.scienceofintelligence.de
SUMMARY:Marcel Brass (Science of Intelligence)\, "Social agency"
DESCRIPTION:Abstract: Sense of agency (SOA) refers to the experience of controlling one’s\nown actions and corresponding effects. Social agency refers to SOA in situations\nwhere other social agents are involved. This can refer to situations in which we\nact together or in the presence of other agents or to situations where we\ncontrol the behaviour of others. I will discuss the concept of social agency and\nits relevance for topics such as collective behaviour and human-machine\ninteraction. Furthermore\, I will provide some empirical examples of\ninvestigating social agency.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-marcel-brass-2/
LOCATION:MAR 2.057
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/01/20201020-SCIOI-Marcel2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230420T100000
DTEND;TZID=Europe/Berlin:20230420T110000
DTSTAMP:20260404T134747
CREATED:20230320T095113Z
LAST-MODIFIED:20250603T125937Z
UID:14987-1681984800-1681988400@www.scienceofintelligence.de
SUMMARY:Friedhelm Hamann (Science of Intelligence)\, “Applications of Event Cameras: Animal Behavior Quantification in the Wild”
DESCRIPTION:Abstract: \nEvent cameras are novel bio-inspired sensors that naturally respond to motion in the scene. They have promising advantages\, namely a high dynamic range\, little motion blur and low latency. But how can we leverage these advantages for vision tasks such as animal behavior quantification? In this talk I will  present two applications developed at the Robotic Interactive Perception lab\, where we used event cameras to address practical problems\, from low-level vision (background-oriented schlieren imaging\, a technique for visualizing air flow) to high-level vision (animal behavior quantification in the wild). \nThis talk will take place in person at SCIoI. \nPhoto by Steve Johnson on Unsplash \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-scioi-project-36/
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/03/steve-johnson-Nvmt7-mlR7g-unsplash-1536x1024-1-e1693384970338.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230413T100000
DTEND;TZID=Europe/Berlin:20230413T110000
DTSTAMP:20260404T134747
CREATED:20230320T094941Z
LAST-MODIFIED:20250603T125951Z
UID:14984-1681380000-1681383600@www.scienceofintelligence.de
SUMMARY:Nina Poth (Science of Intelligence)\, “Exploring the Prospects for a Prediction-Oriented View of Intelligence”
DESCRIPTION:Abstract: It has recently been proposed that a minimal condition of intelligence is the ability to form accurate predictions (Tjøstheim & Stephens 2021). In this talk\, I evaluate the promise of this view for integrating intelligence research across subdisciplines within the cognitive and life sciences. I argue that this view combines two desirable features: (1) it allows us to subsume key dimensions identifying intelligent behaviour\, such as goal-directedness\, adaptiveness\, generality\, and flexibility (Coelho Mollo 2021; Glock 2019)\, under a unifying conceptual framework; (2) it combines well with a non-symbolic approach to representation at various degrees of abstraction (Gärdenfors 2004). Thereby\, the predictive view provides opportunities for sharing concepts and transforming problems across research on artificial and biological intelligence. However\, an outstanding issue with this approach is its current lack of insight into the relevant mechanisms and functional interactions generating intelligent behavior. I respond to this challenge by discussing a set of available research heuristics for mechanism discovery (Poth 2022).\n\nReferences \nCoelho Mollo\, D. (2022). Intelligent Behaviour. Erkenntnis\, 1-17.\nGärdenfors\, P. (2004). Conceptual spaces as a framework for knowledge representation. Mind and Matter\, 2(2)\, 9-27.\nGlock\, H. J. (2019). Agency\, intelligence and reasons in animals. Philosophy\, 94(4)\, 645-671.\nPoth\, N. (2022). Schema-centred unity and process-centred pluralism of the predictive mind. Minds and Machines\, 32(3)\, 433-459.\nTjøstheim\, T. A.\, & Stephens\, A. (2021). Intelligence as Accurate Prediction. Review of Philosophy and Psychology\, 1-25. \nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-nina-poth/
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/03/nina-poth.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230406T100000
DTEND;TZID=Europe/Berlin:20230406T110000
DTSTAMP:20260404T134747
CREATED:20221114T104605Z
LAST-MODIFIED:20240813T102441Z
UID:13325-1680775200-1680778800@www.scienceofintelligence.de
SUMMARY:Xing Li (Science of Intelligence)\, "Learning to Manipulate Articulated Objects From Human Demonstrations"
DESCRIPTION:Abstract: \nProgramming robots to manipulate articulated objects such as drawers\, doors\, or locks is a challenging task. One of the major reasons for this difficulty is that robots must physically interact with objects\, and even minor errors during manipulation can result in significant internal forces that may cause damage. \nWhile robots struggle with these manipulation tasks\, humans can effortlessly operate complex mechanisms with great reliability. Moreover\, humans can transfer their experience between objects of the same type\, resulting in remarkable generalization. This raises the question of how we can transfer these robust and general manipulation skills from humans to robots. \nIn this presentation\, we will introduce a viable solution to achieve this transfer in the context of manipulating articulated objects. Specifically\, we will demonstrate that a robot can acquire a manipulation policy that reliably manipulates various instances of the same type based on a single demonstration of a human opening an articulated object. \nFollowing the presentation\, we invite those who are interested to participate in an interactive session where we can discuss and share our experiences with controlling the robot with the soft hand in the robotics lab on the second floor. \nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-xing-li/
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2022/11/20201020-SCIOI-Xing1-1024x1024-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230330T100000
DTEND;TZID=Europe/Berlin:20230330T110000
DTSTAMP:20260404T134747
CREATED:20230327T091603Z
LAST-MODIFIED:20240813T102500Z
UID:15096-1680170400-1680174000@www.scienceofintelligence.de
SUMMARY:Marah Halawa (Science of Intelligence)\, "Contrastive Learning Approaches for Computer Vision Applications"
DESCRIPTION:Abstract: \nThe recent success in Computer Vision has been mostly attributed to improved results using deep learning models trained on large labeled datasets. Many of these datasets have been labeled by humans. The labeling process\, however\, can be time-consuming\, and in many applications\, it may require expertise that could be costly to acquire. In order to address this requirement\, more research focus and effort have shifted toward unsupervised learning algorithms\, in order to utilize the ever-increasing quantities of unlabeled data. Self-supervised learning (SSL)\, in particular\, is a set of algorithms that specifically aim to learn rich data representations from unlabeled samples\, and it achieves comparable results to fully supervised methods on common benchmarks for image classification and segmentation. The idea behind SSL methods is to learn broad features from the signals that exist in unlabeled data. In other words\, to acquire more general information and knowledge\, and store them as neural network features that will be useful as prior knowledge for subsequent downstream supervised tasks (classification\, segmentation\, regression\, ..etc.). \nThere are two types of SSL methods. First\, self-prediction methods\, which predict some omitted parts (in purpose) of the data using the other existing part of the data\, such as jigsaw puzzle solving. Second\, contrastive learning methods\, which utilize similarities and dissimilarities\, or simply relations\, amongst data samples to form a classification problem\, such as SimCLR (simple contrastive learning of representations). Contrastive learning methods have proven effective as representation learners in applications of natural image classification. Nevertheless\, extending such algorithms to multiple application domains comes with challenges\, and we identify certain limitations in these approaches. Therefore\, in this talk\, we will focus on contrastive learning methods and how to apply them in several computer vision applications. We also discuss the challenges and limitations we identified and how to address them in project 29. \nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-marah-halawa-contrastive-learning-approaches-for-computer-vision-applications/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230323T100000
DTEND;TZID=Europe/Berlin:20230323T120000
DTSTAMP:20260404T134747
CREATED:20230222T135409Z
LAST-MODIFIED:20240813T102507Z
UID:14755-1679565600-1679572800@www.scienceofintelligence.de
SUMMARY:Dr. Arlena Jung\, "Time Management & Resilience"
DESCRIPTION:Abstract: \nIn this talk\, Dr. Jung will focus on the three key principles of good time management: defining priorities\, managing expectations and developing routines that work. Following the lecture\, the participants have the opportunity to discuss their time management challenges in an individual coaching session. \nDefining Priorities: Dealing with high performance expectations in wide array of areas ranging from research to writing\, presenting\, networking and teaching is a key challenge for early-stage researches. In order to deal effectively with the in part conflicting expectations PhD students and early stage researchers need both the mindset and the self-confidence to define priorities. This means developing short and middle term goals that are both compatible with one’s own long-term goals and the expectations one’s “relevant other’s”. Without clear goals defining priorities and quality criteria become impossible tasks. That participants learn to understand the use of time management tools using the power of the 4 Zs to define SMART goals\, and integrating a “definition of done” into work packages\, milestones and at times even individual tasks. We also address the emotional challenge of dealing with in part conflicting goals\, roles and expectations. Together we discuss how ambiguity tolerance and strategic thinking can be used as key strengths in dealing with the multifaceted challenges but also opportunities of this career phase.  \nManaging Expectations: Complex interdependencies are an inherent part of the qualification phase of early stage research. Without the ability to manage expectations. PhD students have a very limited ability to actually turn their priorities into actionable plans. In this section of the lecture the participants are acquainted with key stakeholder-management tools such as the stakeholder-matrix and the systemic portrait. We\, however\, also discuss key communication skills needed to manage expectations effectively such as “7 shades of no”\, turning “yes” into a deliberate decision and creating solution  oriented dialogues. \nDeveloping routines that work: In order to use the limited resources available as effectively as possible early stage researchers need to learn to develop routines that work. This means figuring out what time management tools fit nicely both with their individual needs and their operational and conceptual tasks. In the last section of the lecture we present time management tools that help PhD students structure their working days and weeks ranging from the pomodoro and the ivy lee method to stimulus-response regulation practices and self-monitoring and self-evaluation methods.\n \n  \nThis talk will take place in person at SCIoI. \nPhoto by freestocks on Unsplash \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-dr-arlena-jung-time-management-resilience/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230309T100000
DTEND;TZID=Europe/Berlin:20230309T110000
DTSTAMP:20260404T134747
CREATED:20230207T103252Z
LAST-MODIFIED:20240813T102512Z
UID:14155-1678356000-1678359600@www.scienceofintelligence.de
SUMMARY:Judith L. Bronstein (University of Arizona)\, "Why Cooperate with Another Species? The Puzzles of Mutualism"
DESCRIPTION:Abstract:\nThe classic view of nature is one of a deathly struggle for existence. Yet\, throughout nature\, organisms cooperate with each other. Mutualisms – mutually beneficial interactions between species – are more than fascinating natural history stories: they are central to the diversity and the diversification of life on Earth. Charles Darwin\, well aware of mutualisms\, mused that if species could be shown to act exclusively for the good of others\, “it would annihilate my theory”. The very young field of mutualism research attempts in part to address Darwin’s challenge. I will first briefly discuss the relationship between within-species cooperation and mutualism. I will then introduce two underlying concepts that are helping to guide our growing understanding: mutualism not only confers benefits but also exacts costs on the participants; and the immediate interests of mutualists commonly conflict. Then\, I will review some of my group’s recent findings that help address two of the most vexing puzzles mutualism poses: if mutualisms are beneficial\, why isn’t the world covered with them; and if mutualisms are costly\, then why doesn’t everyone cheat their partners? Our understanding of mutualism has exploded in recent years\, but this new focus has come at the cost of exploring connections between and mutualism and other forms of interaction – a situation I am working to mend during my Wiko fellowship. I will conclude by highlighting the interfaces that excite me the most.\n\nThis talk will take place in person at SCIoI. \n  \nPhoto by Joseph Sharp on Unsplash \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-judith-l-bronstein-university-of-arizona-why-cooperate-with-another-species-the-puzzles-of-mutualism/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230228
DTEND;VALUE=DATE:20230305
DTSTAMP:20260404T134747
CREATED:20250219T130041Z
LAST-MODIFIED:20250219T130041Z
UID:23532-1677542400-1677974399@www.scienceofintelligence.de
SUMMARY:Winter School "Ethics of Neuroscience and AI" 2022
DESCRIPTION:The 11th Winter School “Ethics of Neuroscience and AI” is taking place on Feb 28 – March 4\, 2022. It is organized by the BCCN Berlin/ICCN\, the Berlin School of Mind and Brain\, and the Excellence Cluster “Science of Intelligence”. The event is tailored for MSc and PhD students\, but covers a range of topics of potential interest to other researchers\, reflecting on the ethical and societal consequences of modern neuroscience.\nTheoretical foundations\, as well as practical and ethical aspects are addressed. Participants will benefit from a combination of lectures with group work and discussions\, where they will put the learned content into practice. \nScientific organizers: John-Dylan Haynes and Thomas Schmidt. \nKeynote lecture: Kent Kiehl (University of New Mexico) will discuss the ethical issues involved with neuroprediction (Live stream available) \nYou are welcome to join the keynote which will be live-streamed on the Bernstein Network’s Vimeo channel. \nFees: The Winter School is free of cost but registration is necessary. \nVenue: Due to the ongoing pandemic\, the Winter School will be held online.
URL:https://www.scienceofintelligence.de/event/winter-school-ethics-of-neuroscience-and-ai-2022/
CATEGORIES:External Event
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230227
DTEND;VALUE=DATE:20230304
DTSTAMP:20260404T134747
CREATED:20250219T125804Z
LAST-MODIFIED:20250219T130224Z
UID:23528-1677456000-1677887999@www.scienceofintelligence.de
SUMMARY:Winter School "Ethics of Neuroscience and AI" 2023
DESCRIPTION:The 12th Winter School “Ethics of Neuroscience and AI” is taking place on Feb 27 – March 3\, 2023. It is organized by the BCCN Berlin/ICCN\, the Berlin School of Mind and Brain\, and the Excellence Cluster “Science of Intelligence”. The event is tailored for MSc and PhD students\, but covers a range of topics of potential interest to other researchers\, reflecting on the ethical and societal consequences of modern neuroscience.\nTheoretical foundations\, as well as practical and ethical aspects are addressed. Participants will benefit from a combination of lectures with group work and discussions\, where they will put the learned content into practice. \nScientific organizers: John-Dylan Haynes and Thomas Schmidt. \nKeynote lecture: Christine Heim (Charité-Universitätsmedizin Berlin) \nFees: The Winter School is free of cost but registration is necessary. \nVenue: The Winter School takes place at the Bernstein Center for Computational Neuroscience Berlin.
URL:https://www.scienceofintelligence.de/event/23528/
CATEGORIES:External Event
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230223T100000
DTEND;TZID=Europe/Berlin:20230223T110000
DTSTAMP:20260404T134747
CREATED:20221114T105022Z
LAST-MODIFIED:20240813T101537Z
UID:13332-1677146400-1677150000@www.scienceofintelligence.de
SUMMARY:Ryan Burnell\, "A Cognitive Approach to the Evaluation of AI Systems"
DESCRIPTION:Abstract: \nThe capabilities of AI systems are improving rapidly\, and these systems are being deployed in increasingly complex and high-stakes contexts\, from self-driving cars to the detection of medical conditions. As the importance of AI grows\, so too does the need for robust evaluation. If we want to determine the extent to which systems are safe\, effective\, and unbiased\, it is vital that we understand the cognitive capabilities of those systems. In this endeavour\, psychological science has a lot to offer—scientists from cognitive\, developmental\, and comparative psychology have spent many decades developing theories and paradigms to understand the cognitive capabilities of adults\, children\, and animals. Drawing on these theories and paradigms\, we are working to build a framework for evaluating the cognitive capabilities of AI systems that we hope can be used to better track and regulate AI progress. I will present an initial version of the framework and discuss the open questions and challenges of applying cognitive science to AI evaluation. \nThis talk will take place in person at SCIoI. \nPhoto by Michael Dziedzic on Unsplash. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-ryan-burnell-a-cognitive-approach-to-the-evaluation-of-ai-systems/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230216T100000
DTEND;TZID=Europe/Berlin:20230216T110000
DTSTAMP:20260404T134747
CREATED:20230207T104351Z
LAST-MODIFIED:20240813T101551Z
UID:14161-1676541600-1676545200@www.scienceofintelligence.de
SUMMARY:Julten Abdelhalim (Science of Intelligence)\, "Tips and Guidelines for your grant application in Germany"
DESCRIPTION:Abstract: \nThis talk will be targeting junior postdocs and phd at their final stages. It will be a short and brief introduction to the major options for grants (those aiming at the stars or smaller ones). Julten will offer some quick tips on the application process. She will also share her own experience in applying to the DFG Sachbeihilfe and ERC Starting Grant. The talk is not a detailed workshop in which we get into details about the proposal writing but rather a summary and a call out for how you should ideally plan your grant application journey. Those interested in detailed consultation are invited to book appointments later.\n\n\nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-julten-abdelhalim-our-career-as-a-scientist-make-a-plan-for-successful-grant-applications/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230209T160000
DTEND;TZID=Europe/Berlin:20230209T173000
DTSTAMP:20260404T134747
CREATED:20230119T092829Z
LAST-MODIFIED:20240813T101605Z
UID:14065-1675958400-1675963800@www.scienceofintelligence.de
SUMMARY:Oliver Brock (Science of Intelligence)\, "About the Interplay of Embodiment and Learning in Intelligent Systems"
DESCRIPTION:Abstract:\nBiological intelligent systems manifest their intelligence in physical interactions with other agents and with their environment. Such interactions require embodiment. Intelligence\, both artificial and biological\, also requires some kind of learning. But what is the relationship between the two? How should the two interact? Do they even have to? What could be a common ground on which this relationship can be explored\, negotiated\, and ultimately designed? In this presentation\, I will attempt to provide my personal answers to these questions. I will argue that one of the reasons (deep) machine learning has not yet been able to replicate its smashing successes in the context of robotics lies in the widespread disregard for the important capabilities provided by the body. Instead of considering embodiment\, machine learning seems to be resorting to massive use of physical simulations. This seems to be unnecessarily complicated without being convincingly effective.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-oliver-brock-2/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230209T100000
DTEND;TZID=Europe/Berlin:20230209T110000
DTSTAMP:20260404T134747
CREATED:20230116T111824Z
LAST-MODIFIED:20250603T130020Z
UID:14047-1675936800-1675940400@www.scienceofintelligence.de
SUMMARY:Andreagiovanni Reina (Université Libre De Bruxelles)\, “The Power of Inhibition for Collective Decision Making in Minimalistic Robot Swarms”
DESCRIPTION:Abstract:\nI investigate how large groups of simple robots can reach a consensus with decentralized minimalistic algorithms. Simple robots can be useful in nanorobotics and in scenarios with low-cost requirements. I show that through decentralized voting algorithms\, swarms of minimalistic robots can make best-of-n decisions. In my research\, I show that using a biologically-inspired voting model based on inhibitory signals\, the swarm can collectively perform better and be more resilient against a minority of misbehaving robots than in models without inhibition. Our best-of-n decision algorithm can also be used for collective environmental monitoring. I will show that investigating these models can be very interesting and yield surprising results. As Anderson said in 1972\, More is different. In our analysis\, we found that limiting the communication range or the speed of the robots can improve collective performance in a range of relevant conditions. We explain the mechanisms of some of these phenomena with a combination of mathematical models and large-scale robot experiments.\n\nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-giovanni-rena/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230126T160000
DTEND;TZID=Europe/Berlin:20230126T173000
DTSTAMP:20260404T134747
CREATED:20230117T132407Z
LAST-MODIFIED:20250603T130033Z
UID:14062-1674748800-1674754200@www.scienceofintelligence.de
SUMMARY:Lars Lewejohann (Science of Intelligence)\, “What’s on a Mouse’s Mind? Behavioral Measures To Understand Experiences and Needs of an Animal”
DESCRIPTION:Lars Lewejohann\, Freie Universität Berlin\, German Federal Institute for Risk Assessment (BfR)\, German Centre for the Protection of Laboratory Animals (Bf3R) \nMice\, like all other living creatures\, have adapted to specific living conditions in the course of evolution. From a human point of view\, the behavior of animals is therefore not always easy to understand. This applies not only to the question of whether mice are actually capable of behaving intelligently\, but also to the question of what is necessary for optimizing animal welfare of laboratory animals. In our work\, we are interested in both questions and follow an animal-centered approach and are giving mice their say. Of course mice cannot fill out questionnaires\, but we have developed a series of behavioral tests that allow to query the animals. In this lecture I will outline our approach with regard to improving housing and living conditions as well as the implications of using mice as a model species for the science of intelligence.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-lars-lewejohann-whats-on-a-mouses-mind-behavioral-measures-to-understand-experiences-and-needs-of-an-animal/
LOCATION:MAR 2.057
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230126T100000
DTEND;TZID=Europe/Berlin:20230126T110000
DTSTAMP:20260404T134747
CREATED:20221128T133841Z
LAST-MODIFIED:20240813T101630Z
UID:13403-1674727200-1674730800@www.scienceofintelligence.de
SUMMARY:Scott Robins (Bonn University)\, "What Machines Shouldn't Do"
DESCRIPTION:Abstract: \nFrom writing essays to evaluating potential hires\, machines are doing a lot these days. In all spheres of life\, it seems that machines are being delegated more and more decisions. Some of these machines are being delegated decisions that could have significant impact on human lives.Examples of such machines which have caused such impact are widespread and include machines evaluating loan applications\, machines evaluating criminals for sentencing\, autonomous weapon systems\, driverless cars\, digital assistants\, etc. Considering that machines cannot be held morally accountable for their actions (Bryson\, 2010; Johnson\, 2006; van Wynsberghe & Robbins\, 2018)\, the question that governments\, NGOs\, academics\, and the general public should be asking themselves is: how do we keep meaningful human control (MHC) over these machines? \n\nThe literature thus far details what features the machine or the context must have in order for MHC to be realized. Should humans be in the loop or on the loop? Should we force machines to be explainable? Lastly\, should we endow machines with moral reasoning capabilities? (Ekelhof\, 2019; Floridi et al.\, 2018; Robbins\, 2019a\, 2019b; Santoni de Sio & van den Hoven\, 2018; Wendall Wallach & Allen\, 2010; Wendell Wallach\, 2007). Rather than look to the machine itself or what part humans have to play in the context\, I argue here that we should shine the spotlight on the decisions that machines are being delegated. Meaningful human control\, then\, will be about controlling what decisions get made by machines. \n\nI argue that keeping meaningful human control over machines (especially AI which relies on opaque methods) means restricting machines to decisions that do not require a justifying explanation and can\, in principle\, be proven efficacious. Because contemporary methodologies in AI are opaque\, many machines cannot offer explanations for their outputs. In many cases\, decisions require justifying explanations\, and we should therefore not use machines for such cases. It won’t be surprising that machines should be efficacious if they are to be used – especially in contexts that will have impacts on human beings. Increasingly\, however\, machines are being delegated decisions for which we are unable\, in principle\, to evaluate their efficacy. This should not happen. \n\nThese arguments lead to the conclusion that machines should be restricted to descriptive outputs. It must always be a human being deciding how to employ evaluative terms as these terms not only refer to specific states of affairs but also say something about how the world ought to be. Machines which are able to make decisions based on opaque considerations should not be telling humans how the world ought to be. This is a breakdown of human control in the most severe way. Not only would we be losing control over specific decisions in specific contexts\, but we would be losing control over what descriptive content grounds evaluative classifications. \n\nIn this talk\, I will first discuss what it means to say that a machine is ‘doing’ something. I then briefly discuss different proposals for MHC and why they fall short. I then argue that machines should not be delegated evaluative decisions as they require justifying explanations which machines cannot give and cannot be evaluated for efficacy. While this talk is framed negatively\, it is my hope that this focuses research and development to design and build machines to help us realize our visions for how the world ought to be\, rather than machines that tell us hour the world ought to be. Only humans can decide that.\n \nThis talk will take place in person at SCIoI. \nPhoto by David Levêque on Unsplash \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-scott-robins-bonn-university-what-machines-shouldnt-do/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230119T160000
DTEND;TZID=Europe/Berlin:20230119T173000
DTSTAMP:20260404T134747
CREATED:20230102T111439Z
LAST-MODIFIED:20240813T101638Z
UID:13961-1674144000-1674149400@www.scienceofintelligence.de
SUMMARY:Ingmar Posner (University of Oxford)\, "Learning to Perceive and to Act - Disentangling Tales from (Structured) Latent Space"
DESCRIPTION:Abstract:\nUnsupervised learning is experiencing a renaissance. Driven by an abundance of unlabelled data and the advent of deep generative models\, machines are now able to synthesise complex images\, videos and sounds. In robotics\, one of the most promising features of these models – the ability to learn structured latent spaces – is gradually gaining traction. The ability of a deep generative model to disentangle semantic information into individual latent-space dimensions seems naturally suited to state-space estimation. Combining this information with generative world-models\, models which are able to predict the likely sequence of future states given an initial observation\, is widely recognised to be a promising research direction with applications in perception\, planning and control. Yet\, to date\, designing generative models capable of decomposing and synthesising scenes based on higher-level concepts such as objects remains elusive in all but simple cases. In this talk I will motivate and describe our recent work using deep generative models for unsupervised object-centric scene inference and generation. Furthermore\, I will make the case that exploiting correlations encoded in latent space\, and learnt through experience\, lead to a powerful and intuitive way to disentangle and manipulate task-relevant factors of variation. I will show that this not only casts a novel light on affordance learning\, but also that the same framework is capable of generating plans executable on complex real-world robot platforms. \nPhoto courtesy by Ingmar Posner. \nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/distinguished-speaker-series-ingmar-posner-university-of-oxford-learning-to-perceive-and-to-act-disentangling-tales-from-structured-latent-space/
CATEGORIES:Distinguished Speaker Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230119T100000
DTEND;TZID=Europe/Berlin:20230119T113000
DTSTAMP:20260404T134747
CREATED:20230116T101152Z
LAST-MODIFIED:20250603T130050Z
UID:14043-1674122400-1674127800@www.scienceofintelligence.de
SUMMARY:David Garzón Ramos (Université Libre De Bruxelles)\, “Automatic Design of Robot Swarms: Context and Experiments”
DESCRIPTION:Abstract:\n \nSwarm robotics is a promising approach to the coordination of large groups of robots. Traditionally\, the design of collective behaviors for robot swarms has been an iterative manual process: a human designer manually refines the control software of the individual robots until the desired collective behavior emerges.\n\nIn this talk\, I discuss automatic design as an alternative approach to manual design. In automatic methods\, the design process is cast into an optimization problem: given a task to be performed by the swarm\, an optimization process designs a collective behavior to perform the task and produces appropriate control software for the robots. I focus on experiments that highlight the various aspects of the automatic design of robot swarms: classes of collective behaviors\, control architectures\, and the optimization process. In particular\, I present a case study on the design of shepherding behaviors for groups of robots. The results presented in this talk are outcomes of the project DEMIURGE; an ERC funded project devoted to the study of the automatic design of robot swarms (PI Mauro Birattari).\nThis talk will take place in person at SCIoI. \nPhoto by Omar Flores on Unsplash. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-david-garzon-ramos-universite-libre-de-bruxelles-automatic-design-of-robot-swarms-context-and-experiments/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
END:VCALENDAR