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Coffee and Data meet-ups

Every Friday

Every Friday, the Data Science Centre hosts a variety of data science-related activities and meet-ups at various UvA campuses. If you have questions about any of the activities below, please email

2023 Friday Coffee & Data meet-up programme




Fri 10 February
11:15 - 12:00, followed by lunch



  • Speaker: Shuai Yuan, Assistant Professor, Amsterdam People Analytics Centre, Faculty of Economics & Business
  • Presentation description: The broad objective of the project is to understand the behavioral consequences of leaders' (politicians or business leaders) expressions on social media sites (e.g., Twitter). We applied text-mining techniques (e.g., sentiment analysis and dictionary-based analysis) to extract (1) emotional signals, (2) the level of certainty, and (3) the level of confidence conveyed in the Tweets.

    In this seminar, we would like to learn from the community how to better handle short texts and whether new tools like chatGPT can be useful for our research purposes.
  • How to register: Email (+ any dietary requirements) before end-of-day Wednesday 8 February 2023

C6.00A (Level 6), Building C, Roeterseiland Campus



Fri 17 February
15:30 - 17:00, followed by borrel until 18:30



  • About the event: Our DSC-affiliated PhD students and supervisors from the Interdisciplinary PhD programme have been invited to present on their respective projects and findings to-date. This is a great opportunity to learn about the different interdisciplinary data science projects that are happening at UvA, gain inspiration, and also a chance to meet with other like-minded colleagues!
  • How to register: All DSC members welcome. Email (+ any dietary requirements) before Monday 13 February 2023
D1.116, Science Park 904
Fri 24 February
10:00 – 13:00, followed by lunch


D3.00, Building D, Roeterseiland Campus


Tues 7 March - Fri 10 March
09:00 - 14:00 each day,

including lunch


  • 7 March: REC BK.01, Roeterseiland building B, Nieuwe Achtergracht 166, Amsterdam 
  • 8, 9 & 10 March: UB C0.01, Potgieterszaal, University Library, Singel 421-427, Amsterdam

Fri 17 March

10:00 - 14:00 (including lunch)


Room L1.04 (max. 25 participants), LAB42, Science Park 900
Fri 24 March
10:00 - 12:30


  • About the event: The event programme will consist of 3 engaging presentations on a wide variety of current data science topics, ranging from the Data Science Ethos Lifecycle to how data science informs environmental policy during the COVID-19 pandemic. There will be time at the end of the presentations for Q&A discussion with the audience. 
  • How to register: Click here for registration link & more information! 
    Everyone (both UvA and non-UvA) is welcome to register and join this event, and registration is free of charge. 

KNAW, Het Trippenhuis,
Kloveniersburgwal 29, Amsterdam

Fri 31 March
11:15 - 12:00, followed by lunch


  • Speaker: Fred White, PhD candidate, Swammerdam Institute for Life Sciences
  • Topic: Best practices and strategies for data simulation to investigate plant microbe interactions, in order to improve sustainability in agriculture
  • How to register: Email (+ any dietary requirements) before EOD 29 March 2023
SP B0.206, Science Park 904
Fri 21 April
10:00 - 16:00, including lunch



Beta-lounge B1.25, Science Park 904

Fri 12 May
11:15 - 12:00, followed by lunch


  • Speaker: Paula Helm, Assistant Professor, Media Studies Department, Faculty of Humanities
  • Topic: A relational approach to AI-Ethics. Dealing with value tensions and tough ethical decisions in data driven research and innovation
  • How to register: Email (+ any dietary requirements) before EOD 10 May.
C6.00A (Level 6), Building C, Roeterseiland Campus
Thurs 25 May
09:30 - 18:00



  • For DSC Affiliate members only. Click here to find out how to be a DSC Affiliate Member!
  • Email to find out more information

Club Zand, Zeeweg 70, 1901 NZ Castricum aan Zee

DSC Github

All educational materials from previous workshops are stored in the DSC GitHub, a collaborative public workspace where the DSC collaborates on data repositories, code, and other related materials.

For example, you can find materials from previous DSC activities and workshops on topics such as Dash, Shiny, Deep Learning, Conventional Machine Learning, and Data Visualisation.

The DSC supports open education and is committed to continuously updating the DSC GitHub.