ICAI

Spotlight: Discovery Lab

October 17, 2024

14:30

18:30

Written by

Community Manager

The Discovery Lab studies technology, infrastructure and methods to develop intelligent services for researchers, focusing on finding and interpreting scientific literature, to formulate hypotheses, and to interpret data. The lab operates at the crossroads of Knowledge Representation, Machine Learning and Natural Language Processing. They are advancing the ability to construct, use and study large-scale research knowledge graphs that integrate knowledge across heterogeneous scientific content and data. This will allow for a deeper, richer use of content and data across a larger span of domains than possible thus far, and enables them to grow the knowledge graph faster and more reliably, and provide better recommendations, more contextual question answering, more successful query construction, and the automatic generation of hypotheses. In other words: to drive scientific discovery using machine intelligence.

The lab’s philosophy is to drive scientific discovery using machine intelligence. The researchers study and develop technology, infrastructure and methods to support the current transformation of science. They focus on data-driven activity, where scientists increasingly rely on intelligent tooling for searching and reading scientific literature, to formulate hypotheses, and to interpret data.

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Event details

Spotlight: Discovery Lab
17 October 2024, time TBA
Venue: Elsevier Corporate Office, Radarweg 29a, 1043 NX Amsterdam

Programme

14:30: Walk in, refreshments
15:00: Welcome

The Discovery Lab so far:

Michael Cochez (Lab Manager Discovery Lab), Rinke Hoekstra (Senior Director Architecture for Knowledge at Elsevier Technology): Intro to the Discovery Lab

Presentations on various research projects:

Michael Cochez, Thom Pijnenburg: Graph link prediction and LoG symposium (10 mins)
Romana Pernisch: Comparing Ontology Engineering Approaches for Clinical Trial Outcomes: (10 mins)
Dimitrios Alivanistos : AI for the Generation of Scientific Hypotheses (10 mins)
Daniel Daza: Knowledge Graph Construction through Link Prediction (10 mins)

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Anita de Waard (VP Research Collaborations at Elsevier): What is the impact of the Discovery Lab on Elsevier? (10 mins)

16:15: Break

16:30: The Future of the Discovery Lab:

Frank van Harmelen (professor at VU Amsterdam) : Vision of the future of the Discovery Lab from a research angle (20 mins)
George Tsatsaronis (Vice President Data Science, Research Content Operations at Elsevier): Thoughts on the future of the Discovery Lab @Elsevier (20 mins)

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Michael Cochez, Rinke Hoekstra: Discussion and close (15 mins)

17:30 Drinks & social event

18:30 Close

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Registration

To attend this event, please register here. A day before the event, a Zoom link will be shared with the email you’ve used for registration in case you’d like to attend online.