Research — David Wild's Home page

The Integrative Data Science Lab (IDSL) is housed in Indiana University's School of Informatics, Computing, and Engineering, and is run by David Wild. Integrative Data Science brings together diverse data sets, technologies and expertise with linked data, machine learning and data science approaches to solve real world problems. We are developing technical infrastructures for integrative data science such as linked data ecosystems and heterogeneous graph analytic algorithms, as well as methodological approaches for complex problem solving.

Featured

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Advancing Disease Treatment through Integrative Data Science

Through the work of the Integrative Data Science Lab (IDSL), we are pioneering new ways to rapidly improve disease treatment and drug discovery using integrative knowledge graphs and advanced machine learning approaches to profile and predict the biological effects of potential new drugs.

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Data Science for Disasters & Crises

The world is already facing the impacts of climate change through increased severity and frequency of natural-event caused disasters. Through our Crisis Technologies Innovation Lab, we are researching ways that data science can help scale and improve the preparation for, mitigation of, response to and recovery from disasters.

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Emergency Technologies & Digital Resilience

In the Crisis Technologies Innovation Lab, we are researching the design and use of technology in a way that promotes Digitial Resilience, that is private, secure, robust and reliable even in adverse or threatening environments. This brings together maker culture, data science, cybersecurity, privacy and human computer interaction research.

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Transforming Pharmaceutical and Healthcare Companies into Data Companies

This is a five-minute flash talk on transforming pharmaceutical and healthcare companies into data companies.

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Big Data in Drug Discovery

This is a talk given at the Pervasive Technology Institute at Indiana University on Big Data in Drug Discovery