Amsterdam Data Science

❗️ From September onwards Amsterdam Data Science will merge media channels with Amsterdam AI. Any online activities you are used to will continue on the Amsterdam AI channels. So please register below to stay up to date. 📌Sign up for the Amsterdam AI Newsletter here: https://lnkd.in/eWv8Fytr 📌Follow the LinkedIn page here: Amsterdam AI 📌Check out the Amsterdam AI Website for all the relevant information: https://amsterdamai.com/ 📌ADS news article: https://lnkd.in/djqwMcKh

We are excited to announce that our yearly Thesis Award Event will take place again this year! 👉🏽The Call for nominations is now open! 📌Submit your nomination at: https://lnkd.in/e46KucGp 📌 Please read the instructions carefully: https://lnkd.in/e9TBdiNu 📌We are looking for thesis nominations that present exciting and innovative work in AI and Data Science research. 📌 We specifically encourage nominations for thesis work by women and underrepresented minorities. The work will be evaluated by members of the selection committee who will be affiliated with the Amsterdam AI Partners. Amsterdam AI, Animesh Trivedi, Paola Grosso, Lynda Hardman, Cees Snoek, Anita Nijboer, Saskia Robben, Universiteit van Amsterdam, VU Amsterdam, Hogeschool van Amsterdam #AI #Datascience #thesisawards #thesis #Amsterdam

Join online this afternoon at 17:00 for a talk from Kay Firth-Butterfield on “Why does AI need to be Trustworthy and the axis of power between Big Tech and society”. You can find all the information on how to join using the following link: https://edu.nl/r3v7j

📌Tomorrow it's time for our online meetup at 16:00! This is in collaboration with Centre of Expertise Applied AI and their Smart Education Lab discussing Intelligent Interaction in Education! 👉🏽Location: Online - Use the link on our meetup page- https://lnkd.in/eZ42-wZU 👉🏽Programme 16:00 Walk-in, introduction & Welcome by Bert Bredeweg 16:05 Talk #1: Marco Kragten: Learning with Interactive Qualitative Representations 16:25 Discussion 16:35 Talk #2: Somaya Ben Allouch: Designing a Social Robotic for Math Learning 16:55 Discussion 17:05 Talk #3: Erwin Van Vliet: IguideME supporting self-regulated learning and academic achievement with personalised peer comparison feedback 17:25 Discussion 17:35 End

➔ Next week Tuesday the 27th of June, we are hosting an online meetup in collaboration with Centre of Expertise Applied AI to celebrate the month of AI! This year it’s the third time that SURF, Nederlandse AI Coalitie | NL AIC, Nationaal Onderwijslab AI (NOLAI), Kennisnet and Special Interest Group AIED organise this Month. Join us via the link below! 📍Location: Online - Use the link on our meetup page- https://lnkd.in/eZ42-wZU 👉🏽Programme 16:00 Walk-in, introduction & Welcome by Bert Bredeweg 16:05 Talk #1: Marco Kragten: Learning with Interactive Qualitative Representations 16:25 Discussion 16:35 Talk #2: Somaya Ben Allouch: Designing a Social Robotic for Math Learning 16:55 Discussion 17:05 Talk #3: Erwin Van Vliet: IguideME supporting self-regulated learning and academic achievement with personalised peer comparison feedback 17:25 Discussion 17:35 End

 🗓 'ICAI Deep Dive' event is on the 29th of June! During the event, you will discuss technical challenges in Large Language Models and you will deep dive into the threats and opportunities. How can we work together in this field and what are the steps to make? 📌The program consists of two parts: a presentation discussing the challenges and opportunities of LLM, and a panel discussion with three experts in the field of AI research, including Cees Snoek and Hans Onvlee. Join ICAI - Innovation Center for Artificial Intelligence and register here: https://lnkd.in/ef39gqBD Amsterdam AI #ai #languagemodels #icai #event

📌It’s the Month of AI! Therefore on the 27th of June, we are collaborating with the Centre of Expertise Applied AI for an online meetup! The Meetup will be focussing on Intelligent Interaction in Education! 📌The third speaker of the evening will be Erwin Van Vliet. He will be talking about “IguideME: supporting self-regulated learning and academic achievement with personalised peer comparison feedback” 👉🏽 Learning data (e.g., from summative and formative tests) can be continuously collected and visualized via the LA dashboard “IguideME” that we have developed. Using AI, personalized peer comparison feedback can be provided to students, even in large-scale courses. Lecturers can use the dashboard as an "early warning system" to prevent dropout, but also to analyze and immediately adjust their course design. In this lecture, he will explain how IguideME works and how it can be applied in practice. Furthermore, he will present research data showing that IguideME improves self-regulated learning and academic performance. 📍 Join us here: https://lnkd.in/eZ42-wZU Amsterdam AI

📌 Would you like to enjoy pizza whilst listening to talks on everything medical data science? Join Amsterdam Medical Data Science on June 20th for an in-person meetup at the VUmc! This edition features Alex Schuurman (PhD candidate Infectious Diseases, Amsterdam UMC), and Kakkhee Yeung (Associate Professor, Vascular Surgery, Amsterdam UMC). 👉🏽 Register here: https://edu.nl/yw7tb Amsterdam AI #medicaldatascience #datascience #medical #Amsterdam