Welcome to the Sociome
Sociome Data Commons Findings Published in the Journal of Clinical and Translational Science
What's the Sociome?
There are parts of our lives that impact how healthy we are that don’t have to do with a medical chart – things like where we live, how we think and act, how much money we have, our exposure to sunshine, noise, violence, and more. The Sociome Data Commons is a breakthrough tool for scientists to analyze a lot of information to learn what makes us healthy or sick – and the datasets even include hyperlocal information, like neighborhoods, that other tools haven’t been able to capture.
Meet the Asthma Sociome Project
We explored data about kids and asthma on the South Side of Chicago as part of a pilot project to see if where and how they lived made their asthma worse. The mapping was clear: heightened asthmas cases in kids are connected to areas near pollution and places with violent crime, poverty, and urban flooding.
Our team used the Sociome Data Commons to create mapped datasets that can be combined with clinical data to predict the impact on kids’ asthma based on things like local information on social interactions, environment, psychology, and money-related issues. We created rules to organize the information so that it’s easy to use and share, as well as a statistical method for studying all of it even if it’s about large groups of people from many different places.
The Sociome Data Commons is Brought to You By:
The Institute for Translational Medicine (ITM) in partnership with The University of Chicago Data for the Common Good, the Data Science Institute, and Argonne National Laboratory is building a massive, streamlined home for big data with real-world information about the sociome so that researchers can discover ways to help people live healthier, longer lives. Thanks to support from the National Institutes of Health National Center for Advancing Translational Sciences Clinical and Translational Science Awards Program, the ITM is bringing together experts across fields of data science and health care to use the Sociome Data Commons to identify the most powerful research projects, implement a tool to combine data from sources within and outside of clinical care, and launch an ecosystem for scientists and the public to explore the information.
Connect with Us!
Julian Solway, MD
University of Chicago Dean for Translational Medicine & Founding Director of the Institute for Translational Medicine (ITM)
