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DTSTART;TZID=Europe/Amsterdam:20250310T143000
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DTSTAMP:20260421T121412
CREATED:20250128T154423Z
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UID:10000217-1741617000-1741627800@mondai.tudelftcampus.nl
SUMMARY:Climate & AI Workshop #2
DESCRIPTION:Mondai | House of AI is glad to host the second Climate & AI workshop with the Climate Action Programme and the TU Delft | AI Initiative On Monday March 10th (14:30 – 17:30) at Mondai | House of AI\, the Climate Action Programme and the TU Delft AI Initiative are co-organising their second worskhop together. The event will bring together local researchers working on Al and climate and explore relevant overlaps and related opportunities. Purpose is to (further) delve into generating and shaping innovative ideas together. The programme includes introductions on behalf of both university-wide programmes\, short pitches from researchers\, breakout groups on 3-5 themes and will be concluded with a borrel. A minimum of 5 participants per theme is required. \nThe following thematic crossroads will be further defined during this Climate & AI event and relevant opportunities explored: \n\nAI for Sustainable Energy Transition\nUrban Data Analytics\nAI & Earth (Systems)\nSustainable Materials & Manufacturing\nMachine Learning for Climate Policy Support\n\n(This event will be held in English) \nProgramme \n14.30 – 14.45 Walk in and drinks\n14.45 – 15.30 Opening\n15.30 – 16.45 Breakout per theme\n17.00 Borrel & (interthematic) networking \nThis event is aimed (early/earlier career) faculty staff of all TU Delft faculties. Are you a phd or postdoc and interested in these themes? Or are you an interested faculty staff member who can’t join the event on March 10th but do you want to stay updated about follow up? Get in touch with the organisation team via Charlotte Boelens  . \nAI and Climate / Climate and AI at TU Delft \nRead the recap of the first Climate/AI Workshop (3 October 2024) here. \nIn March 2024\, the Climate Action Programme (CAP) dedicated their monthly lecture to ‘AI and Climate’ with a talk on “Machine-learning for understanding atmospheric physics” by Geet George (CEG) and Jing Sun (EEMCS) – recording and presentations available here. The CAP Academic Career Trackers of their 17 flagships recently also delved into AI with Angela Meyer (CEG) and AidroLab. A growing number of AI researchers also contribute to climate-related topics. A great example of this was the poster by Damla Akoluk (TPM)\, a PhD candidate from the HIPPO Lab\, who presented her work on aggregation at the Climate Action Festival. Read more about how this inspiring day went here. The last TU Delft AI Lunch of 2023/2024 was themed “The unprecedented environmental impacts of AI: a transdisciplinary discussion” with panellists Benedetta Brevini (New York University)\, Olya Kudina (TPM)\, Fanny Hidvégi (Policy Director at the AI Collaborative) and moderator Roel Dobbe (TPM).      \nAre you interested in the intersection of AI & Climate and want to join or learn more about this growing climate/AI community at TU Delft? Join this workshop by registering above or below\, or reach out to Climate Action Programme (Climate-Action@tudelft.nl) or AI Initiative (AI-Initiative@tudelft.nl).
URL:https://mondai.tudelftcampus.nl/en/event/climate-ai-workshop-2/
LOCATION:Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD
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ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
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DTSTART;TZID=Europe/Amsterdam:20250312T120000
DTEND;TZID=Europe/Amsterdam:20250312T133000
DTSTAMP:20260421T121412
CREATED:20250129T122939Z
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UID:10000218-1741780800-1741786200@mondai.tudelftcampus.nl
SUMMARY:TU Delft AI Lunch - Inclusive AI: Approaches to Digital Inclusion
DESCRIPTION:Mondai | House of AI is happy to host the new edition of the TU Delft AI Lunch:\nInclusive AI: Approaches to Digital Inclusion Realising inclusive digital systems requires the development of tools and methods that can achieve identified goals. This often takes the form of mitigating negative effects that lead to digital exclusion\, for example biases. However\, it can also incorporate positive values as design requirements such as fairness\, contestability\, and accessibility. Ideally\, this leads to digital tools and systems that promote participatory processes and just outcomes. But\, by what metrics or standards should we evaluate these approaches? Is a fair system necessarily reliable and accurate\, or are trade-offs required? How can ‘digital inclusion’ be operationalised as a design requirement at different levels\, from algorithms to design processes to artifacts and infrastructures? \nWhat do you think about the current approaches to digital inclusion? Join us for an interactive discussion to explore how to make inclusive AI actionable. \nThis event includes free lunch for which registration is required (help us reduce food waste!) \n(This event will be held in English) \nProgramme\n12.00 – 12.30 Walk-in and Lunch\n12.30 – 13.30 Panel Discussion on Inclusive AI with Nazli Cila (IDE)\, Alessandro Bozzon (IDE)\, Kars Alfrink (IDE)\, Emir Demirović (EEMCS)\, Roberto Rocco (ABE)\, Marie-Therese Sekwenz (TPM) \nModerators & Panellists \n\n\n\nModerator: Nazli Cila\nAssistant Professor\, Faculty of Industrial Design Engineering\nNazli is an Assistant Professor at the Department of Human-Centered Design\, Faculty of Industrial Design Engineering. Her work combines interaction design with humanities\, integrating empirical work (i.e.\, experimentation\, future modelling\, and prototyping) with practical and ethical issues surrounding collaborations with agents. Nazli is co-director of the AI DeMoS Lab.\n\n\n\n\n\n\n\n\nModerator: Alessandro Bozzon\nProfessor\, Faculty of Industrial Design Engineering\nAlessandro is Professor of Human-Centered AI and head of the Department of Sustainable Design Engineering\, Faculty of Industrial Design Engineering. His research lies at the intersection of human-computer interaction\, human computation\, user modelling\, and machine learning – developing methods and tools that support the design\, development\, control\, and operation of AI-enabled systems that are well-situated to actual human characteristics\, values\, intentions\, and behaviours. \n\n\n\n\n\n\n\n\n\n\nPanellist: Kars Alfrink\nPostdoc\, Faculty of Industrial Design Engineering\nKars is a researcher in the Department of Sustainable Design Engineering\, focusing on contestable AI. His research investigates how to design public AI systems so that they remain subject to societal control. Before entering academia\, Kars spent over 15 years as an interaction design consultant\, entrepreneur\, and community organizer- experiences that now shape his research. \n\n\n\n\n\n\n\n\n\n\n\nPanellist: Emir Demirović\nAssistant Professor\, Faculty of Electrical Engineering\, Mathematics and Computer Science\nEmir is an Assistant Professor at the Algorithmics group. He leads the Constraint Solving (“ConSol”) research group\, is co-director of the Explainable AI in Transportation Lab (“XAIT”) as part of the Delft AI Labs\, and is an ELLIS Scholar. His primary research interest lies in solving complex real-world problems through combinatorial optimisation and its integration with machine learning. \n\n\n\n\n\n\n\n\n\n\nPanellist: Roberto Rocco\nAssociate Professor\, Faculty of Architecture and the Built Environment\nRoberto is an Associate Professor of Spatial Planning and Strategy at the Department of Urbanism. He specialises in governance for the built environment and social sustainability\, as well as issues of governance in regional planning and design. This includes issues of spatial justice as a crucial dimension of sustainability transitions.\n \n\n\n\n\n\n\n\n\n\n\nPanellist: Marie-Therese Sekwenz\nPhD Candidate\, Faculty of Technology\, Policy and Management\nMarie-Therese is a PhD candidate at the Department of Multi-Actor Systems and a member of the AI Futures Lab. In her research she asks questions addressing aspects of rights and justice\, focused on content moderation\, platform governance and regulation\, AI and socio-technical and legal system design. Marie-Therese is also active as a journalist for the Austrian Broadcasting Agency (ORF). \n\n\n\n\n\nAbout the series Inclusive AI\nInclusivity can be understood as a desirable quality of AI systems\, encompassing a broad range of pressing societal and technical challenges for the responsible development and deployment of AI systems. It manifests in machine learning through concerns related to fairness\, bias\, and trustworthiness; societal issues currently underrepresented in discourse (e.g.\, feminism\, neurodiversity\, disability studies\, care ethics\, intersectionality\, more-than-human perspectives); and\, in engineering and robotics application domains such as healthcare\, mobility\, urban AI\, and the future of work. This new series aims to bring together a growing research community on campus to exploring these topics and foster an interdisciplinary exchange.  \nThis lunch is the second in a series of discussions on Inclusive AI throughout 2024-25. Stay tuned for details on upcoming events! \nThe Delft AI (Lab) Lunch series\nThis series is part of the monthly Delft AI (Lab) Lunches\, a recurring meet-up hosted by the TU Delft AI Labs & Talent community at Mondai | House of AI.\nEvery month\, we host a panel to discuss challenges and developments made at the intersection of AI and a specific field. During these events\, you can participate\, learn\, make connections\, inspire and be inspired by and with the Delft AI Community. We invite all interested staff and students from TU Delft to join these sessions. Please contact community manager Charlotte Boelens for more information about this series or the TU Delft AI Labs & Talent Programme.\n \nNote for TU Delft PhDs\nThe TU Delft AI Lunch series is eligible for earning discipline related skills GSC with the ‘Form for earning GSC for TU Delft AI(-related) seminars’. Check with your local Faculty Graduate School (FGS) if your FGS offers this option for earning Discipline Related Skills GSC; and with your supervisors if they accept our seminars on your Doctoral Education (DE) list. If you already have a form\, don’t forget to bring it with you.
URL:https://mondai.tudelftcampus.nl/en/event/tudelft-ailunch-inclusiveai-digitalinclusion/
LOCATION:Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD
ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
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