Projects per year
Amsterdam Data Science (ADS) and Elsevier are collaborating to advance Amsterdam as talent hub for Data Science and Artificial Intelligence.
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.
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”.
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.
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.
DL: ICAI Discovery Lab
van Harmelen, F., De Rijke, M., Siebert, M., Hoekstra, R., Tsatsaronis, G., Groth, P. & Cochez, M.
10/1/19 → 03/31/24
Knowledge Graphs with Amsterdam Data Science
De Rijke, M., van Harmelen, F., Mintri, N., Krasakisr, A., Affolter, S., Vilarroya, S. H., Mitra, P., Siebert, M., Haak, W., Hoekstra, R. & Tsatsaronis, G.
01/1/17 → 07/1/19
Understanding challenges and responses of leadership in data-driven transformation
Windt, B. & Pertuiset, G.
12/1/16 → 12/1/20
Complex Query Answering with Neural Link PredictorsDaza, D., Cochez, M., Arakelyan, E. & Minervini, P., 2021, In: ARXIV.
Research output: Contribution to journal › ArticleOpen Access
Findable and reusable? Data discovery practices in researchGregory, K., 2021
Research output: Other contribution › peer-reviewOpen Access
Inductive Entity Representations from Text via Link PredictionDaza, D., Cochez, M. & Groth, P., 2021, In: ARXIV.
Research output: Contribution to journal › Article › peer-reviewOpen Access
300 miljoen extra voor Amsterdams AI-onderzoek
Rinke Hoekstra & George Tsatsaronis
1 Media contribution
New ICAI & Elsevier AI Lab
Maarten Rijke, Frank Harmelen, Mark Siebert, Wouter Haak, Paul Groth, Rinke Hoekstra & Georgio Tsatsaronis
10/1/18 → 11/18/18
3 Media contributions
Nieuw Elsevier AI Lab in Amsterdam onderstreept impact samenwerking wetenschap en bedrijfsleven
Maarten Rijke, Frank Harmelen, Mark Siebert, Wouter Haak, Paul Groth, Rinke Hoekstra & George Tsatsaronis
1 Media contribution