Amsterdam Data Science

  • Amsterdam


Organization profile

Organization Profile

Amsterdam Data Science (ADS) and Elsevier are collaborating to advance Amsterdam as talent hub for Data Science and Artificial Intelligence. 

Focus 2020

Elsevier is supporting ADS’s 5-year strategy to advance the Amsterdam and Dutch ecosystem in AI and Data Science by focusing on

1)     Deeper research insights using advanced knowledge graphs within our Elsevier DiscoveryLab

2)     AI in Health and Life Science: Developing new solutions and exchanges

3)     Providing an inspiring and thriving work environment for Data Science and Tech talent

4)     Experimenting with new forms of publishing, like software and data publications and working with open (health) data

Nature of Collaboration

The partnership consists of three pillars: (1) Enable excellent (joint) research, (2) offer attractive career opportunities while attracting and retaining talent and (3) convene and foster exchange and visibility.

Excellent research

ADS’s and Elsevier’s joint research is focused around the Elsevier DiscoveryLab at ICAI in Amsterdam around the application of knowledge graphs for deeper research insights. Together the partners apply for research grants in projects like Research Data Management Search or collaborate with the Amsterdam medical center in questions around “responsible conduct of research”.

Thriving talent

Elsevier is running a yearly Data Science master student program and a Graduate Program for tech talent offering top students the opportunities to write their thesis with Elsevier. Often project outcomes get co-published on leading AI and Data Science conferences, such as: Anthi Symeonidou, who won the Best Poster Paper award at SEMANTICS 2019.

Elsevier is also a leading participant on ADS Career Fairs offering speed-dating occasions to explore ideas. Interested? Contact us.

Inspiring exchange

Facilitating knowledge exchange and scholarly communication is in the DNA of Elsevier. With ADS we’re supporting leading events, conferences and meet-ups in the field. Elsevier colleagues present regularly on network events such as ADS Meet-ups, provide case studies to Data Science education and meet inspiring speakers, like Sir Tim Berners-Lee

Fingerprint Dive into the research topics where Amsterdam Data Science is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

  • Projects

    Re-SEARCH: Contextual Search for Scientific Research Data with Amsterdam Data Science

    Gregory, K., Michener, W., Psomopoulos, F., Wu, M., Papakostas-Ioannidis, T., Parnia, A., Oosterhuis, H., Tsatsaronis, G., van Harmelen, F., Khalsa, S. J., Haak, W. & Siebert, M.


    Project: Research

    Research Output

    Disease Normalization with Graph Embeddings

    Pujary, D., Thorne, C. & Aziz, W., 2020.

    Research output: Contribution to conferencePaper

    Automated knowledge Base Construction

    de Rijke, M. & van Harmelen, F., Feb 18 2019, In : Archived.

    Research output: Contribution to journalArticle

  • Characterizing and predicting downloads in academic search

    Li, X. & de Rijke, M., 2019, In : Information Processing and Management.

    Research output: Contribution to journalArticle

    4 Scopus citations

    Press / Media

    Zoeken naar de vraag: wat weten we nog niet?

    Maarten Rijke & Wouter Haak


    1 Media contribution