Indiana University Integrative Data Science Lab (IDSL)
Welcome to the Integrative Data Science Lab (IDSL) in the School of Informatics and Computing at Indiana University. Integrative Data Science brings together heterogeneous data sets and expertise from different disciplines along with advanced AI, machine learning and data science tools and technologies to solve real world problems. The IDSL is directed by David Wild. Here are the ways we are making a difference using integrative data science:
TRANSFORMING DRUG DISCOVERY AND HEALTHCARE
Using deep expertise in data science, linked data, cheminformatics, AI & machine learning, we are pioneering new ways to accelerate drug discovery, including making better decisions earlier, avoiding expensive failures in clinical trails, and finding the right treatments for the right patients. We developed the first large scale semantic linked data repository for drug discovery, novel link prediction and data mining algorithms for finding hidden insights in large heterogeneous data networks, and in our 2012 Drug Discovery Today paper laid out a strategy for using data science to avoid some of the perils of single-target drug discovery. Current projects include using knowledge networks to encode computable networks for multi-mechanism complex diseases, integrating patient medical records with molecular data for targeted therapies, drug repurposing using massive linked data networks, and accelerating drug discovery with automated synthesis and machine learning. We are thankful to NIH NCATS, Indiana CTSI, the OpenPHACTS foundation, Eli Lilly, and Pfizer for funding of this work. Some of this work is being applied commercially in our spin-off company Data2Discovery Inc.
DATA-driven EMERGENCY RESPONSE & MANAGEMENT
We live in an era of profound risk and uncertainty, with climate change, pervasive technology, infrastructure vulnerabilities, and cybersecurity hazards all creating new threats at local, regional and national levels. We are researching highly creative ways that data science and technology to help emergency managers, emergency responders and citizens better understand, prepare for, mitigate and respond to this new landscape. We are applying this research at the local and regional levels through partnerships with University Information Technology Services at IU, Bloomington City Fire Department, and Bloomington City Police Department.