Graph data science is an important part of the efforts to track the spread of COVID-19 and the movements of those who may have been infected. In response, database vendor Neo4j launched the Graphs4Good project, which uses the vendor’s graph database to research COVID-19.
The advantage of using graph data technology in the fight against COVID-19 is that it can connect large datasets from multiple sources, allowing analysis on a much larger level.
Graphs4Good “has helped several organizations tackle pandemic-related initiatives from contact tracing, to curtailing the spread of misinformation,” said Amy E. Hodler, director of AI and analytics programs at Neo4j.
Read more: https://techbeacon.com/app-dev-testing/top-developer-projects-fighting-front-lines-covid-19
Keywords: Amy E. Hodler • Amy Hodler • COVID • covid-19 • graph data science • Graphs4Good • neo4j culture