We are pioneering new ways to rapidly improve early-stage drug discovery using integrative knowledge graphs and advanced machine learning approaches to profile and predict the biological effects of potential new drugs
The world is already facing the impacts of climate change through increased severity of natural disasters and events. We are using integrative data science to help agencies respond to these impacts with limited resources through risk, resilience and expenditure profiling.
We are researching highly creative, low cost ways to transform and optimize the practice of emergency management and operations that bring together maker culture, data science, cybersecurity and human computer interaction.
What if we could bring all the knowledge, data, insight, and prior decision-making of drug discovery together and use it to accelerate the discovery of new drugs? What if we could encode the millions of known relationships between potential new (or old) drugs, protein targets, genomics, biological processes, and disease mechanisms, and then use all this together to get new insights into disease and treatments?
A new report from FEMA shows efforts to encourage preparedness have failed, yet they are needed now more than ever. How can data science help?
DS590 Data Science in Practice is a graduate course designed to help students gain critical, practical skills in applying data science to real world problems. Students will work in teams of 3-5 to tackle a real-world problem defined by a project sponsor. Project sponsors can be academics or industry practitioners. Students work with the project sponsor to understand the problem domain, identify where their data science skills can be applied, and to design, implement and test a solution.
This is a five-minute flash talk on transforming pharmaceutical and healthcare companies into data companies.
Info I590 Data and Society is a graduate course that introduces technically-trained students to the social, political, and ethical aspects of data science work. It is designed to create reflective practitioners who are able to think critically about how collecting, aggregating, and analyzing data are social processes, and processes that affect people.
This is a talk given at the Pervasive Technology Institute at Indiana University on Big Data in Drug Discovery
Jaron Lanier’s Who Owns The Future is a must-read for anyone working with technology or data in the 21st century (i.e. all of us).