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Affiliate Programme

Who can join:

Do you have an affinity with data science? Are you already engineering cool data pipelines? Are you looking to connect with other data scientists, engineers, and researchers within the university and increase your visibility? 

Anyone working with data science at UvA is invited to apply to become an Affiliate member and join the DSC community! The current Affiliate member list can be found here.

A snapshot of some of our community events: Seminars, workshops, off-site outings, and more

Membership benefits: 

  • Access to a platform that allows you to connect and meet with like-minded and cross-disciplinary peers and colleagues (that you might otherwise not have a chance to meet)
  • Priority access to specialised training and upskilling opportunities that can further your data science career or interests
  • Opportunities to showcase your research and increase your research profile within UvA
  • Profiling on the DSC website and social media (e.g. see our Member Spotlight)
  • Networking opportunities with other specialists, both within UvA and externally (e.g. Data Science Day)
  • Invitations to fun community-only events like our annual Away Day

In return, we ask Affiliate Members to:

  • Regularly participate in our Coffee and Data community meet-ups (minimum 3 per year)
  • Where the DSC has provided financial or research support: Acknowledge the DSC in your relevant outputs

Testimonials from our members

Copyright: UvA
I participated in multiple workshops that were helpful to extend my skills. My presentation during one of Friday meetings was very helpful in receiving feedback and brainstorming ideas. Dr. Joanna Strycharz, Assistant Professor, Faculty of Social and Behavioural Sciences
Copyright: Jelke Bloem
It has helped me to meet new people working on data science at UvA and become more aware of research projects in other faculties. Dr. Jelke Bloem, Assistant Professor, Faculty of Humanities
Copyright: Shubha Guha
It has provided a sense of community, with the option of frequent and low-stakes meetups. Shubha Guha, Data Engineer and Data Steward, Faculty of Science