Meta, a Chan Zuckerberg Science Initiative project, is designed to help users explore scientific research as it evolves in real-time. Using machine learning, Meta quickly analyzes, connects and organizes millions of scientific articles and preprints to build a live map of scientific developments. This allows researchers to easily follow developments, intersections and emerging trends that they may not know to look for or never knew existed.

Meta has built a knowledge graph consisting of five core entities: authors, papers, journals, institutions, and concepts. Powered by graph technology, Meta was created to give the scientific research community a faster way to understand, organize and explore science through personalized feeds.

In this webinar, you’ll learn more about the knowledge graph powering Meta, and how this technology connects data for groundbreaking scientific research.


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Benoît Simard
Field Engineer, Neo4j

Benoît est un développeur en informatique passionné par les nouvelles technologies et la philosophie du libre.

Ayant réalisé ses études à l'institut des mathématiques appliquées à Angers, son domaine d'expertise s'est tourné vers le domaine du web et des graphes. Evangéliste Neo4j depuis 3 ans, Benoît travaille actuellement chez Neo4j France comme expert et consultant technique. Il aime par ailleurs partager ses connaissances sur les graphes avec la communauté et lors de sessions de formation dédiées.
Kelsey Bieri
Data Governance Analyst, ICC

Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.

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