CAREER: Parameterized Robustness for Reliable Online Decision-Making — NSF Award to New Jersey Institute of Technology (NJ, $350,3
Modern digital platforms increasingly rely on automated decision systems to allocate resources and opportunities in real time. Examples include matching riders with drivers in ride-hailing services, assigning tasks to workers in online labor markets, allocating advertisements on search platforms, and selecting offers i
| Award title | CAREER: Parameterized Robustness for Reliable Online Decision-Making |
|---|---|
| Award ID | 2538522 |
| Awardee | New Jersey Institute of Technology |
| City | NEWARK |
| State | NJ |
| Amount obligated | $350,355 |
| Principal investigator | Pan Xu |
| Program | Robust Intelligence |
| Start date | 09/01/2026 |
| Abstract | Modern digital platforms increasingly rely on automated decision systems to allocate resources and opportunities in real time. Examples include matching riders with drivers in ride-hailing services, assigning tasks to workers in online labor markets, allocating advertisements on search platforms, and selecting offers in digital marketplaces. These systems must make immediate decisions under uncertainty, often without knowing future demand, arrivals, or market conditions. While decades of researc |
| Source | NSF Awards |
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