UvA / AUAS Library’s Post

In het jaarverslag 2023 van de Bibliotheek UvA/HvA vertelt open access-specialist Pascal Braak over onze bijdrage aan de ambitie 100% open access voor wetenschappelijke publicaties te bereiken. Door ons advies aan het College van Bestuur worden vanaf 2024 alle korte wetenschappelijke werken van UvA-onderzoekers vrij beschikbaar gesteld via de institutionele repository van de Bibliotheek. Een belangrijke doorbraak! Achter de schermen wordt gewerkt aan toegankelijkheid van onderzoek via platforms zoals UvA-DARE en initiatieven zoals het UvA Diamant Open Access Fonds. Hierdoor kunnen mensen wereldwijd zonder drempels meedoen met open access, en kan onderzoek de hele samenleving ten goede komen. 🌍 #openaccess

Curious to know how intelligent task assistants and robots can learn complex activities like cooking or performing medical procedures from videos? Join us for our upcoming Data Science Seminar! Everyone from all disciplines is welcome to attend the presentation in our brand new research lab on Human Aligned Video-AI (HAVA-Lab) at the UvA Library. Title: Understanding Complex Activities in Streaming Videos Speaker: Ehsan Elhamifar, Associate Professor of Computer Sciences, Northeastern University, Boston, USA 📅 17 July 2024 📍 University Library (Singel), Amsterdam In this talk, Ehsan Elhamifar will discuss an intelligent task assistant system that he has been developing in his lab, and present new neural architectures as well as efficient learning and inference frameworks to understand complex activity videos. More 👉🏾 https://lnkd.in/ek-9YvAG #UvADataScienceCentre #HAVALab #AI #Robotics #MachineLearning

🔍 What is data science, and what does a data scientist do...? Today, we shine the Data Science Centre Spotlight on Max van Spengler, PhD Candidate at the VIS Lab and ACTA, and part of our Interdisciplinary PhD programme. Max explores hyperbolic geometry in deep learning, modifying existing techniques and developing new ones to enhance model performance. 📚 One of the projects he is most proud of is the Hyperbolic Learning Library (HypLL), that enables easy creation of hyperbolic models with PyTorch. Its popularity since release is a testament to its impact. What he values most about being a DSC-member is hearing about real-world applications of data science, which helps contextualize his theoretical work. 👉 Learn more about Max and his work and read the full interview here https://lnkd.in/edGsjct7 #UvADataScienceCentre #datascience #deeplearning #hyperbolicgeometry

Waarom is het zo belangrijk dat we praktijkgericht onderzoek niet alleen beoordelen op het publiceren van artikelen? “Je bent professional, veranderaar én innovator.” Dat is hoe praktijkgericht onderzoek er in het beste geval uit ziet volgens Soemitro Poerbodipoero. Hij onderzoekt hoe Stichting Kraktie, een organisatie uit Amsterdam Zuidoost, veerkracht en participatie van thuiswonende senioren verbetert. In dit vierluik reflecteren hij, Gerben ter Riet, Marta Malé-Alemany en Reint Jan Renes op het unieke karakter van praktijkgericht onderzoek, dat wordt gekenmerkt door de verbinding tussen onderwijs, onderzoek en samenwerking met de praktijk. Onderzoekers in het hbo moeten dus niet alleen beoordeeld worden met cijfermatige indicatoren, stelt Gerben ter Riet. Op zijn initiatief is de Hogeschool van Amsterdam de eerste hogeschool van Nederland die het CoARA statement heeft ondertekend (Coalition for Advancing Research Assessment). Een mooie stap naar werkelijk open wetenschap. En een transitie waarin ook de Bibliotheek een belangrijke ondersteunende rol heeft! Lees het interview hier: https://lnkd.in/dMEbjrrZ #openscience #CoARA #praktijkgerichtonderzoek #ReformingRA

📢 Join us for a special lecture scheduled this Monday 17 June by Elisa Omodei, hosted by the Amsterdam Institute for Social Science Research (AISSR) as part of the Summer Institute in Computational Social Science. Elisa Omodei, Assistant Professor at the Central European University and former lead data scientist at the UN World Food Programme, is an expert in leveraging data science to address the needs of vulnerable populations. In her talk, she will share her expertise on using non-traditional data and computational methods for social impact. Her talk will highlight her work on predicting food insecurity using conflict, weather, and economic data. Supported by the Data Science Centre (DSC), we are excited to bring this opportunity to our academic community. Interested in learning more about Elisa's work? Check out our interview with Elisa here: https://lnkd.in/eU8_KWr5 🗓 Date: Monday 17 June, 15:30-17:00 📍 Location: Roeterseilandcampus (REC-A), University of Amsterdam #UvADataScienceCentre #DataScience #ComputationalSocialScience #SocialImpact #SICSS2024

Launched in 2021, the UvA Data Science Centre (DSC), part of the University Library, is a coordinating hub and facilitator for data-driven research within the Universiteit van Amsterdam. Our mission is to enhance the university’s research by developing, sharing, and promoting data science methods and technologies across faculties. Every year, we look back on achievements and successes of the past year. We are excited to share our 2023 Highlight Report! Key Highlights: 🚀 DSC Community Growth: With over 70 affiliate members from every UvA faculty, we’ve surpassed our goal of 36 FTE by 2025. Our community continues to thrive with training sessions, seminars, and public platforms to showcase research. 📊 Scientific Impact: Our members co-authored 16 scientific publications, engaged in conference presentations, taught workshops, and participated in key data science events. 🎓 Educational Events: From seminars on AI in HR management to workshops on deep learning, we’ve facilitated numerous learning opportunities. Notable highlights were the event on the Societal Impact of AI, Data Science Day and the annual Away Day on Generative AI. 🏆 Programmes and Initiatives: We supported 8.5 FTE hires across multiple faculties in our Accelerate Programme and announced a new research programme (HAVA-Lab) on human aligned Video-AI involving all 7 (!) UvA faculties. We provided expertise for innovative projects in the humanities and social sciences in our Research Software Engineering Support programme. Read more about our achievements and future plans in the full report on our website: https://lnkd.in/ejcnTdFw #UvADataScienceCentre #DataScience

Data Science is crucial across disciplines, with a huge variety of applications. Join us for a glimpse at Data Science in action at our Data Science Seminar!   Victoria Degeler is Assistant Professor at the University of Amsterdam, specialized in smart environments, digital twins, and sustainable applications. She will introduce you to the DiTEC system—a Digital Twin for Water Distribution Networks (WDN). Learn how it uses semantic rule learning, graph neural networks, and adaptive models to stay updated with environmental changes. Victoria will also discuss the challenges and insights she encountered in this exciting project.   📅 Date: 11 june 11:00-12:00 📍 Location: Science Park, Lab 42   The Data Science Seminar is open to all disciplines. Join us in-person for an engaging presentation and lively discussion.   Register here: https://lnkd.in/eSUDG75z   #DataScience #DigitalTwins #UvADataScienceCentre

✨ Meet our Data Science Centre Affiliate Member for this month: Jacobus Dijkman, PhD Candidate at the Computational Chemistry Group of the Van 't Hoff Institute for Molecular Sciences (University of Amsterdam) and the Amsterdam Machine Learning Lab at the Informatics Institute.   Jacobus is part of our Interdisciplinary PhD programme, and his research is pushing boundaries in molecular science by aiming to achieve the ideal balance of speed and precision in computational models. This past year, he made a significant breakthrough by being among the first to successfully integrate neural networks into a thermodynamic framework for describing molecular dynamics.   “This paves the way for a powerful and fast alternative to traditional molecular simulations. With our proof-of-concept, we now have a clear path to make it practically applicable, which is very exciting.”   Read the interview with Jacobus here: https://lnkd.in/eCTPdxRH   #DataScience #MachineLearning #UvADataScienceCentre