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X-WR-CALDESC:Events for scienceofintelligence.de
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DTSTART;VALUE=DATE:20250906
DTEND;VALUE=DATE:20250910
DTSTAMP:20260428T185420
CREATED:20250603T115022Z
LAST-MODIFIED:20250618T141057Z
UID:25206-1757116800-1757462399@www.scienceofintelligence.de
SUMMARY:Summer School "Sensory Neuroscience" (Pisa\, Italy)
DESCRIPTION:For the first time this year\, SCIoI will be one of the organizers of the Circle U. Summer School in Pisa\, which already involves the HU Berlin and UCLouvain. Together with renowned researchers\, Master’s students will explore the complexities of the human mind and brain through the study of perception. This summer school is connected with the TNE initiative NEUROBRIDGE\, which promotes exchanges with international institutions. \nRead the article here. \nClick here for more info. \nPhoto by Andrea Cevenini on Unsplash.
URL:https://www.scienceofintelligence.de/event/the-summer-school-in-sensory-neuroscience-in-pisa-italy/
CATEGORIES:External Event
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/06/SensoryNeuroscienceSummerSchool25-1-e1750255629928.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250908T190000
DTEND;TZID=Europe/Berlin:20250908T210000
DTSTAMP:20260428T185420
CREATED:20250326T130134Z
LAST-MODIFIED:20250623T085832Z
UID:23900-1757358000-1757365200@www.scienceofintelligence.de
SUMMARY:Excellent Pub Quiz
DESCRIPTION:Dive into the wonderful world of research of the seven Berlin Clusters of Excellence: from literature to chemistry\, from politics to AI\, you and your team can find answers for exciting and surprising questions from the clusters’ research areas. So seek fellows and think of your team name! \nEvery quiz evening focuses on the research of one of the clusters of excellence with a related live performance\, followed by questions from the areas of the rest of the clusters. At the end of the evening\, you will be certainly smarter than before and perhpas with great prizes in your hands. \nEvent langage: German\nAdmission: Free entry\nCapacity: Limited spaces\, so come early to not miss your spot\nModerator: Jochen Müller \n  \nThis event is organized by the Cluster of Excellence Matters of Activity. \nThe other participating clusters are: MATH+\, Science of Intelligence\, Temporal Communities\, SCRIPTS\, UniSysCat\, and NeuroCure.
URL:https://www.scienceofintelligence.de/event/excellent-pub-quiz-5/
LOCATION:Fahimi bar\, Skalitzer Str. 133\, Berlin\, 10999\, Germany
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/03/PubQuiz-8-Sept-Sharepic-insta-Hochformat.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250911T100000
DTEND;TZID=Europe/Berlin:20250911T110000
DTSTAMP:20260428T185420
CREATED:20250526T094651Z
LAST-MODIFIED:20250902T080023Z
UID:25080-1757584800-1757588400@www.scienceofintelligence.de
SUMMARY:Asieh Daneshi (Science of Intelligence)\, “Is risky behavior contagious?”
DESCRIPTION:More details to follow. \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/asieh-daneshi-behavioral-contagion-in-human-and-artificial-multi-agent-systems/
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/02/chatgtp2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250915
DTEND;VALUE=DATE:20250919
DTSTAMP:20260428T185420
CREATED:20250604T082648Z
LAST-MODIFIED:20250604T082741Z
UID:25341-1757894400-1758239999@www.scienceofintelligence.de
SUMMARY:Summer School of Artificial Intelligence and Society 2025 (BIFOLD\, Weizenbaum Institute\, SCIoI)
DESCRIPTION:As artificial intelligence (AI) reshapes the landscape of scientific discovery\, the need for openness\, transparency\, and reproducibility in research has never been more urgent. The 2025 Berlin Summer School on Artificial Intelligence and Society\, jointly organized by the Berlin Institute for the Foundations of Learning and Data (BIFOLD)\, the Weizenbaum Institute for the Networked Society\, and Science of Intelligence (SCIoI)\, will focus on a timely and critical topic: “Open Science and AI – Shaping the Future of Responsible Research.” \nTaking place from 15 to 18 September 2025\, this year’s Summer School invites early-career researchers and advanced Master’s students to explore how open data\, open collaboration\, and responsible practices can help build more transparent\, fair\, and trustworthy AI systems. \nCheck the summer school website (left) for more information.
URL:https://www.scienceofintelligence.de/event/summer-school-of-artificial-intelligence-and-society-2025-bifold-weizenbaum-institute-scioi/
LOCATION:TU-Campus EUREF\, EUREF-Campus 9\, 10829 Berlin-Schöneberg.\, EUREF-Campus\, 10829\, Germany
CATEGORIES:External Event
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2025/06/Screenshot-2025-06-04-at-10.25.54.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250915T103000
DTEND;TZID=Europe/Berlin:20250915T113000
DTSTAMP:20260428T185420
CREATED:20250822T144435Z
LAST-MODIFIED:20250912T140019Z
UID:26633-1757932200-1757935800@www.scienceofintelligence.de
SUMMARY:Elena Simperl (King's College London)\, "Open Data Infrastructure in the Age of Generative AI"
DESCRIPTION:This event is for registered attendees. \nOpen data infrastructure refers to the systems\, frameworks\, and processes put in place to collect\, store\, manage\, and share data generated or held by government\, science\, and other public institutions. It is meant to ensure that public data is accessible\, high-quality\, secure\, and usable by a wide range of stakeholders\, including the public. \nFor more than a decade\, we have witnessed millions of datasets made available via such infrastructure\, advancing research\, policymaking\, and innovation. However\, open data infrastructure is still far from realising its potential; non-technical users face significant barriers in navigating complex datasets and extracting meaningful information to support their decisions. \nFurthermore\, the global AI race has put substantial strains on this infrastructure\, with data holders forced to re-examine their ability to sustain critical public services. \nIn this talk I will walk through some of my recent research into addressing these challenges. I will start with a series of user studies\, which explore how professionals in various data-related roles engage with chatbots to find\, make sense\, and use open data. \nDiving deeper to the accuracy issues suggested by these studies\, I will then describe two experiments\, which use machine unlearning and information leakage methods to understand if existing public authoritative sources of data are used by widely accessible generative AI tools. \nInformed by the findings\, my team developed PortalGPT\, a series of AI prototypes leveraging knowledge graphs\, large language models\, and retrieval-augmented generation to make open data more accessible and actionable for people with varying levels of data literacy. \nPortalGPT enhances dataset discovery by bridging the gap between user information needs and structured data queries and enables dataset exploration through interactive analysis tools. Through conversational natural language interactions\, users can seamlessly search\, analyse\, and explore knowledge from open data portals\, redefining the traditional methods of navigating and utilizing open datasets. \nThe talk is part of the 2025 Berlin Summer School on Artificial Intelligence and Society\, jointly organized by the Berlin Institute for the Foundations of Learning and Data (BIFOLD)\, the Weizenbaum Institute for the Networked Society\, and Science of Intelligence (SCIoI)\, will focus on a timely and critical topic: “Open Science and AI – Shaping the Future of Responsible Research.” \nTaking place from 15 to 18 September 2025\, this year’s Summer School invites early-career researchers and advanced Master’s students to explore how open data\, open collaboration\, and responsible practices can help build more transparent\, fair\, and trustworthy AI systems. \nImage generated with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/elena-simperl-kings-college-london-open-data-infrastructure-in-the-age-of-generative-ai/
LOCATION:TU-Campus EUREF\, EUREF-Campus 9\, 10829 Berlin-Schöneberg.      EUREF-Campus 10829 Germany
CATEGORIES:2025 Berlin Summer School on Artificial Intelligence and Society
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2025/08/Sepp_Hochreiter.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250917T100000
DTEND;TZID=Europe/Berlin:20250917T110000
DTSTAMP:20260428T185420
CREATED:20250825T115632Z
LAST-MODIFIED:20250902T105136Z
UID:26664-1758103200-1758106800@www.scienceofintelligence.de
SUMMARY:Katrin Frisch (Ombuds Committee for Research Integrity in Germany)\, "Maintaining Integrity when Using AI in Your Research"
DESCRIPTION:Abstract: Since the release of ChatGPT and other generative AI applications\, research institutions as well as various stakeholders such as research funders and publishers have been discussing how the use of AI in research should be dealt with from the perspective of research integrity. While a consensus on some matters was quickly reached\, other issues are still being debated. This has led to a rather heterogeneous policy landscape\, which will likely remain in flux due to the fast-paced nature of AI. Additionally\, a recent survey by Wiley found that nearly two-thirds of respondents indicated that the lack of clear guidelines prevents them from using generative AI to the extent that they would like. \nIn this presentation\, participants will get an overview of the status quo of the current debate on AI and research integrity. The presentation has a practical bend covering how to disclose different use cases of AI in publications and what to keep in mind when it comes to working with AI in research\, for example regarding peer review\, writing grants or using AI-generated images. The presentation will also raise awareness about further issues that are still under debate such as recommendations on which tools to use\, questions of access and ethical aspects. \nThe talk is part of the 2025 Berlin Summer School on Artificial Intelligence and Society\, jointly organized by the Berlin Institute for the Foundations of Learning and Data (BIFOLD)\, the Weizenbaum Institute for the Networked Society\, and Science of Intelligence (SCIoI)\, will focus on a timely and critical topic: “Open Science and AI – Shaping the Future of Responsible Research.” \nTaking place from 15 to 18 September 2025\, this year’s Summer School invites early-career researchers and advanced Master’s students to explore how open data\, open collaboration\, and responsible practices can help build more transparent\, fair\, and trustworthy AI systems. \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/katrin-frisch-ombuds-committee-for-research-integrity-in-germany-maintaining-integrity-when-using-ai-in-your-research/
LOCATION:TU-Campus EUREF\, EUREF-Campus 9\, 10829 Berlin-Schöneberg.      EUREF-Campus 10829 Germany
CATEGORIES:2025 Berlin Summer School on Artificial Intelligence and Society
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/04/chatgtp7.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250917T133000
DTEND;TZID=Europe/Berlin:20250917T143000
DTSTAMP:20260428T185420
CREATED:20250823T143642Z
LAST-MODIFIED:20250902T105200Z
UID:26648-1758115800-1758119400@www.scienceofintelligence.de
SUMMARY:Sören Auer (TIB – Leibniz Information Centre for Science and Technology and University Library)\, "Neuro-symbolic AI for Open Science"
DESCRIPTION:Abstract: We explore how neuro-symbolic AI\, i.e.\, combining neural networks with symbolic knowledge representation\, can drive the next generation of open\, transparent\, and responsible scientific research. By combining the adaptability of machine learning with the interpretability of structured knowledge\, neuro-symbolic approaches offer powerful tools for enhancing reproducibility\, semantic interoperability\, and trust in AI-driven science. With examples such as the Open Research Knowledge Graph and TIB’s AI research assistant\, we highlight how these methods support machine-readable research outputs\, facilitate cross-disciplinary collaboration\, and align with the core values of open science\, ultimately shaping a more inclusive and accountable research ecosystem. \nThe talk is part of the 2025 Berlin Summer School on Artificial Intelligence and Society\, jointly organized by the Berlin Institute for the Foundations of Learning and Data (BIFOLD)\, the Weizenbaum Institute for the Networked Society\, and Science of Intelligence (SCIoI)\, will focus on a timely and critical topic: “Open Science and AI – Shaping the Future of Responsible Research.” \nTaking place from 15 to 18 September 2025\, this year’s Summer School invites early-career researchers and advanced Master’s students to explore how open data\, open collaboration\, and responsible practices can help build more transparent\, fair\, and trustworthy AI systems. \n  \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/soren-auer-tib-leibniz-information-centre-for-science-and-technology-and-university-library-neuro-symbolic-ai-for-open-science/
LOCATION:TU-Campus EUREF\, EUREF-Campus 9\, 10829 Berlin-Schöneberg.      EUREF-Campus 10829 Germany
CATEGORIES:2025 Berlin Summer School on Artificial Intelligence and Society
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2025/04/ChatGPT-Image-May-30-2025-01_17_03-PM.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250925T100000
DTEND;TZID=Europe/Berlin:20250925T230000
DTSTAMP:20260428T185420
CREATED:20250912T140413Z
LAST-MODIFIED:20250922T204359Z
UID:26786-1758794400-1758841200@www.scienceofintelligence.de
SUMMARY:Simon Vock (Charité Universitätsmedizin)\, "Critical dynamics governs deep learning"
DESCRIPTION:Artificial intelligence has advanced rapidly through larger and deeper neural networks\, yet fundamental questions remain about how to optimize network dynamics for performance and adaptability. This study shows that deep neural networks (DNNs)\, like biological brains\, perform optimally when operating near a critical phase transition – poised between active and inactive dynamics. Drawing from physics and neuroscience\, we demonstrate that criticality provides a unifying principle linking structure\, dynamics\, and function in DNNs. Analyzing more than 80 state-of-the-art models\, we first report that improvements in accuracy over the past decade coincided with an implicit evolution toward more critical dynamics. Architectural and training innovations unknowingly guided networks toward this optimal regime. Second\, building on these insights\, we develop a training method that explicitly drives networks to criticality\, improving robustness and performance. Third\, we show that fundamental problems in AI\, including loss of performance in deep continual learning\, are caused by loss of criticality and that maintaining criticality rescues performance. This work introduces criticality as a fundamental framework for AI development by emphasizing dynamic optimization alongside scale. It bridges artificial intelligence with physics and biological cortical network function inspiring novel self-tuning strategies in DNNs. The findings offer a theoretically grounded path forward in designing efficient\, adaptable\, and high-performing artificial intelligence systems drawing inspiration from principles observed in biological neural systems. \nImage generated with DALLE by Maria Ott.
URL:https://www.scienceofintelligence.de/event/simon-vock-charite-universitatsmedizin/
LOCATION:Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250925T160000
DTEND;TZID=Europe/Berlin:20250925T173000
DTSTAMP:20260428T185420
CREATED:20250429T091548Z
LAST-MODIFIED:20250924T073557Z
UID:24506-1758816000-1758821400@www.scienceofintelligence.de
SUMMARY:Ariana Strandburg-Peshkin (MPI-AB & the University of Konstanz)\, "Communication and coordination in animal societies"
DESCRIPTION:Abstract: \nMany social species use signals such as vocalizations to coordinate a range of group behaviors\, from coming to consensus on where to move to banding together against threats. Despite their widespread importance\, these behaviors remain challenging to study in the wild because doing so requires monitoring many individuals simultaneously. In this talk\, I will give an overview of our work tracking the movements and vocalizations of entire social groups in the wild to tackle questions at the interface of communication and collective behavior. What roles does vocal signaling play in the coordination of collective movement? What drives groups to split up? And how do vocalizations mediate collective action against external threats? I will explore how we and our collaborators are addressing these questions in three species of social carnivore that coordinate across varying spatial scales – highly cohesive meerkat groups\, moderately cohesive coati groups\, and fission-fusion hyena clans. \nThis talk is part of David Mezey‘s course “Introduction to Modeling Collective Behavior\, ” a seminar on collective behavior research\, combined with multiple interactive elements. \nPhoto by Gertrūda Valasevičiūtė on Unsplash.
URL:https://www.scienceofintelligence.de/event/ariana-strandburg-peshkin-mpi-ab-the-university-of-konstanz/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
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