Centrum Wiskunde & Informatica, Science Park Amsterdam, Amsterdam, Netherlands
ADS Drinks & Data: Human Interaction
We all face daily challenges in human-computer interaction. But what are the possible solutions to these challenges? And how can we implement these solutions?
Join Amsterdam Data Science, VU Amsterdam, HvA and CWI for this meetup as we explore the research being carried out in this field. Talks will include how to enable ethical and performant AI systems, and how to facilitate and improve the way people access media and communicate with others and with the environment.
Programme
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|---|---|
| 15:00 | Walk-in & Drinks ⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| 15:15 | Welcome & Introduction by Jacco van Ossenbruggen Head of Information Access at CWI & Associate Professor at VU Amsterdam ⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| 15:30 | Invited Talk #1: People | Sensors | Understanding by Pablo Cesar Head of Distributed and Interactive Systems at CWI & Associate Professor at TU Delft ⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| 16:00 | Invited Talk #2: Interacting with Information Beyond the Desktop by Lars Lischke Assistant Professor for Human-Computer Interaction at VU Amsterdam ⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| 16:30 | Invited Talk #3: Making Classification Uncertainty Transparent and Understandable by Emma Beauxis-Aussalet Senior Track Associate at Digital Society School at HvA ⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| 17:00 | Questions & Answers ⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| 17:30 | Drinks & Networking ⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| 18:00 | End |
Other details
Date: Thursday 26 September 2019
Time: 15:00-18:00
Location: CWI, room L016
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Registration is free but you must do so in advance through our Meet-up page.
The event will be in English and is open to all.
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Amsterdam Data Science (ADS) accelerates data science research by connecting, sharing and showcasing world-class technology, expertise and talent from Amsterdam on a regional, national and international level. Our research enables business and society to better gather, store, analyse and present data in order to gain valuable insights and make informed decisions.
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We will be taking photos of the event and posting them on the ADS website and social media channels. If you have any questions or concerns, please send an email to info@amsterdamdatascience.nl.