Early Career Award

The 2023 MIF Early Career Award winner is Dr. Adolfo R. Escobedo from North Carolina State University, with his nomination entitled Melding Socio-theoretical Principles and Optimization into Novel Decision Technologies.

In 2016, MIF launched the Early Career Award. The purpose of the MIF Early Career Award is to recognize outstanding contributions to the theory or practice of OR/MS and service made by active members of MIF. The award recognizes exceptional researchers who have shown promise at the beginning of their academic or industrial career.

Eligible scholars include members who are MIF members, pre-tenure, and within eight years of receiving their doctorate (or equivalent) degree. Individuals are either nominated or self-nominated, and submit a C.V., two-page statement, and one letter of recommendation.

A panel of three judges evaluate nominees based on research (potential and accomplishments to date considering intellectual merit and broader impact) and service (service to broader OR/MS community and the MIF community).

Please see here for past winners.

For more information, please contact Wesley Marrero (wesley.marrero@dartmouth.edu).