data science

Towards Neurosymbolic AI: From Knowledge Infrastructure to Explainable Predictions

Dr. Michel Dumontier, Distinguished Professor, Data Science

Mar 16, 12:00 - 13:00

B2 L5 R5220

Abstract The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These