Collaborative Research: Modernizing Mixed Model Prediction — NSF Award to University of Minnesota-Twin Cities (MN, $238,250)
The information explosion in many areas of society, from medicine to economics and business to social media, has resulted in pressing questions for modern data science regarding subject-level knowledge, such as in precision medicine, focused marketing, family economics, and many other areas. These include effective met
| Award title | Collaborative Research: Modernizing Mixed Model Prediction |
|---|---|
| Award ID | 2421890 |
| Awardee | University of Minnesota-Twin Cities |
| City | MINNEAPOLIS |
| State | MN |
| Amount obligated | $238,250 |
| Principal investigator | Jonnagadda Rao |
| Program | Secure &Trustworthy Cyberspace, STATISTICS |
| Start date | 09/15/2024 |
| Abstract | The information explosion in many areas of society, from medicine to economics and business to social media, has resulted in pressing questions for modern data science regarding subject-level knowledge, such as in precision medicine, focused marketing, family economics, and many other areas. These include effective methods for data analysis and prediction in important areas of application ranging from privacy protection via differential privacy (DP) to precision medicine and public health dispar |
| Source | NSF Awards |
$799/mo
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