Amsterdam Data Science 2016 Report
Our network organisation has continued to grow with new partners joining, new collaborations with industry established, and a broadened international network. This report summarises our continued growth and how we are embedding more and more within the region. In this report we also highlight the Amsterdam Academic Alliance Data Science (AAA-DS) programme, as we move closer to unifying into one joint initiative.
ADS is a network organisation initiated in 2013 by the Amsterdam-based knowledge institutes: Amsterdam University of Applied Sciences (AUAS), Centrum Wiskunde & Informatica (CWI), University of Amsterdam (UvA), and Vrije Universiteit Amsterdam (VU).
Below is a brief summary only, you can access the PDF of the full report here: ADS 2016 Report
Key 2016 Highlights
Establishing new partnerships and building our network:
- Economics and Business, UvA
- Wuhan, China
Strengthening the Amsterdam knowledge institutions collaborations:
- Research Assistant Projects
- ADS Assignments
Linking with related data science initiatives:
- Responsible Data Science
Promoting data science education in Amsterdam:
- Master’s Data Science Track
- Education Awards
- Amsterdam School of Data Science
Disseminating our research to the outside world:
- Coffee & Data Meetup
- Deep Dive Meetup
- Responsible Data Science Meetup
- Monthly newsletter
Looking to 2017:
- ADS Foundation
- Minor Data Science
- Regional and International Network
- External organisations
Above is a brief summary only, you can access the PDF of the full report here: ADS 2016 Report
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.