Our initiatives focus both on pursuing raw research that can advance the fields of economics and computational social science as well as on creating applied tools to support decision-making and improve equity in policy and industry settings.
We found a way to communicate with an algorithm to generate an original hypothesis. Read on to see how we applied it to predict judges' decisions.
NEW: Machine Learning As a Tool for Hypothesis Generation
Our algorithmic audits of Facebook in the US and India find significant out-group bias in the News Feed algorithm (e.g., whites are less likely to be shown Black friends’ posts, and Muslims less likely to be shown Hindu friends’ posts), suggesting a need to rethink how large-scale algorithms use data on human behavior.
NEW: Automating Automaticity
We are building a secure, open data hub that will bring together health systems and research communities from across the world, enabling researchers to identify breakthroughs in diagnostics and clinical decision-making. Our mission is to revolutionize the field of computational medicine by connecting world class researchers to forward thinking medical systems.
Nightingale Open Science
Our researchers published an article in Science that showed significant racial bias in a widely deployed health-care algorithm that selects patients for a managed care plan. Were that bias to be eliminated, the number of African American patients selected would nearly double. Working with the developer of the algorithm, we found solutions to dramatically reduce the bias and improve the care of many patients.
Algorithmic Bias in Healthcare
Reducing health disparities using artificial intelligence is a key focus area for the Center for Applied Artificial Intelligence. The Center's Nightingale Open Science has recently done research using AI to address the racial disparities associated with knee pain.
Reducing Racial Disparities in Knee Pain using Artificial IntelligenceWe are happy to provide access for Booth researchers and affiliated faculty to datasets for relevant research projects. Please email the Center if you're interested in learning more about any of the datasets listed below.
SetuServ can provide access to datasets of customer/fan reviews, social media commentary, survey responses, call center data and other forms of customer/fan feedback in a variety of domains.
CAAI partners with the Center for Health and the Social Sciences to offer Booth researchers access to a variety of Marketscan health datasets. You can find more info on their website.
ShareThis has access to consumer behavior data from its 3.5m websites across the US and the world.
Nightingale is preparing to launch its data research platform, offering access to health datasets from systems in the US and abroad, focusing primarily on image data, including x-rays, ECGs, etc.
If you are interested in a dataset you do not see listed, please reach out. We are happy to work with PhD students, post-docs, and Booth faculty to help them acquire interesting and relevant datasets for their research.
We are creating a tool to help doctors make important triage decisions for COVID-19 patients. Using chest x-rays, we are working to predict the likelihood that a patient may suffer from pulmonary collapse within the next few days, helping physicians better distribute care and save lives.
COVID-19 Research
We crowdsourced recommendations for regulatory pauses from frontline physicians and workers who are most affected by unnecessary bureaucracy. After an in-depth analysis, we identified the most feasible regulations to pause and are pursuing meaningful changes.
Pause Regulations
Partnering with the Harris School, we are assembling a detailed dataset that will allow researchers, governors, mayors, and even the federal government to create highly targeted interventions.
Precision Epidemiology
Learn more about how you can engage with the Center for Applied Artificial Intelligence.
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