Programme
AI for Science: opportunities and challenges: 10.30-12.00: LAB42 (Hall), Science Park. Artificial intelligence has the potential to revolutionise scientific discovery, accelerate research progress, boost innovation and improve researchers’ productivity. How to take hold of the opportunities, and also respond to the challenges and risks associated with this fast-evolving technology?

Join us for presentations by Prof. dr. Paul Groth (Scientific director Data Science Centre) and dr. Bernd Ensing (Director FNWI AI4Science Laboratory), followed by a panel discussion. Organised in collaboration with the AI4Science Lab.

 

Discover how data science drives medical innovation from early-stage ideas and research to real-world applications. Presentations will cover topics as Large Language Models (LLMs) in healthcare, machine learning in diagnostics and prognostics, and the role of open science in research collaboration.

With: Dr. Iacer Calixto (Department of Medical Informatics, AUMC) dr. Floriaan Schmidt (Cardiology, AUMC) and Veljko Kovac, Founder in Residence at Entrepreneur First. Organised by Dr. Athanasios Angelakis, Sr. Research Data Scientist/Assistant Professor, VUmc.com - Epidemiology and Data Science (EDS) and the Amsterdam Public Health research institute (APH) of the AUMC and the DSC. More information on this session.

 

Join this info session to learn about the GDPR’s information provision obligations for researchers using personal data from sources like social media or archives.

Dario Boot, Faculty of Humanities privacy officer, will explain when and how to inform people, and dr. Kamran Adeli will introduce the privacy protection review in the Humanities RMS portal. Organised by the data stewards and privacy officer of the Faculty of Humanities. More information on this session.

 

Join us for a Data Discovery Jam and explore diverse large datasets at the faculty of Social and Behavioural Sciences. Researchers will introduce rich datasets on: Emotions and populist attitudes (Prof. dr. Agneta Fisher); predicting student success (dr. Niels Smits), and gender representation in film and television (dr. Saurabh Khanna). Collaborate in a hands-on data science session, analyzing and visualizing data of your choice. Organised by the Social & Behavioural Data Science Centre (SoBe DSC). More information on this session. Followed by drinks and networking.

 

Cancelled: Data Science and the Humanities: Innovation through collaboration
Unfortunately, this session (planned for 13.00-16.00) is cancelled. People who registered will be notified.

This Humanities Labs session will showcase data science-driven innovations in humanities research, featuring presentations from researchers, an interactive workshop, and a keynote on integrating data science in traditional humanist scholarship. Explore the Labs' resources and the possibilities of interdisciplinary collaboration within and beyond the humanities.

 

Explore the transformative potential of Generative AI (Gen-AI) in Human Resource Management and beyond. This event brings together HR professionals, tech vendors, regulators, and multidisciplinary researchers to discuss innovative applications, ethical challenges, and responsible implementation of Gen-AI across various sectors. Network with Amsterdam-based AI, HR, and People Analytics communities.

With: Representatives from start-ups Crunchr, Pandria, Civinc; HR and Data Science leaders and experts Olga Martens-Stuurman (HP), Leyla el Khamlichi (UWV), and dr. Mojtaba Farmanbar (Knab); dr. Shuai Yuan (UvA, Economics and Business), dr. Sandro Pezzelle (UvA, Science), dr. Paula Helm (UvA, Humanities), and dr. Jana Retkowsky (VU, KIN). Organised by the Amsterdam People Analytics Centre (APAC). More information on this session.

Followed by drinks and networking.

 

Registration
Select the session(s) of your choice in the registration form. Sessions are free of charge and open to everyone interested in data science.