Register for the Data Science Day on the 13th of October
The UvA Data Science Centre, part of the University Library, is pleased to host its second yearly Data Science Day on the 13th of October 2022.
This year’s event will feature a brand new program, delivered in collaboration with the Social and Behavioural Data Science Centre. The day consists of hands-on and interactive data science workshops, pitch presentations, keynote presentations on social and behavioural data science, and the latest updates from the UvA Data Science Centre.
Workshops in collaboration with the Social and Behavioural Data Science Centre (SoBe DSC)
Time: 09:00 – 12:00 (08:30 doors open), followed by lunch at 12:00 – 13:00
Location: Startup Village, Amsterdam Science Park 608 (in-person only)
- The workshops are free of charge, and lunch is included
- The workshops are open to UvA PhD students and employees only
- As the workshops will be taking place concurrently, please only register for one of the workshops here.
After the morning program consisting of workshops for UvA data scientists, the afternoon program invites everyone to join in on a series of pitches and keynote presentations spanning a variety of data science topics.
Time: 13:00 – 17:00, followed by networking and drinks at 17:00 – 18:30
Location: Startup Village, Amsterdam Science Park 608
(Not able to attend in person? You can also register for the online live stream!)
- Registration is free of charge
- Everyone is welcome to join the afternoon program.
- Register here.
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!
Amsterdam Data Science is excited to announce the next step in joining forces with Amsterdam AI. Together, we will support Amsterdam’s development as an international hub for Responsible AI.
The UvA Data Science Center is announcing a groundbreaking research program to align artificial intelligence (AI) for the interpretation of video data with human values and ethical principles.