معرفی
Dr. Aaron Schecter serves as an Associate Professor in the Department of Management Information Systems within the Terry College of Business at the University of Georgia. His research investigates how digital technologies transform human decision processes, problem-solving, and collaborative dynamics in organizational contexts.
His academic credentials include:
- PhD in Industrial Engineering and Management Science, Northwestern University (2017)
- MSE in Industrial Engineering and Management Science, Northwestern University (2013)
- MS in Applied Mathematics and Statistics, Johns Hopkins University (2012)
- BS in Applied Mathematics and Statistics, Johns Hopkins University (2012)
Dr. Schecter's scholarly focus spans human-machine interaction, algorithmic bias, and open source software ecosystems. Key research domains feature:
- Human-AI decision collaboration frameworks
- Social network dynamics in distributed development
- Methodological innovations for behavioral studies
- Coordination mechanisms in open platform innovation
- Temporal analysis of team interaction sequences
- Reproducibility standards in information systems research
His publication trajectory (2018-2024) demonstrates increasing emphasis on human-AI teamwork methodologies and algorithmic decision systems, with significant contributions to understanding coordination patterns in open source communities and behavioral responses to algorithmic advice. These works consistently appear in premier outlets including MIS Quarterly and Journal of Operations Management.
Recognition for his scholarly impact includes:
- Hackman Dissertation award for group research
- Young Investigator award from the US Army Research Office
- Lilly Teaching Fellowship at the University of Georgia
Research funding from the US Army and NASA supports his investigations into human-technology interaction, while his methodological contributions like the Vero framework enable accessible human-AI teamwork studies. Though specific advisees aren't listed, his role encompasses mentoring graduate students in management information systems research.
