Translating academic studies into real-world business practice can be daunting in any discipline. Within the operations research and decision science community, there is much discussion about moving from academic settings and research environments for mathematical optimization to industry practice. What skills should one have? Where can one get exposed to meaningful experiences? How does one put learning into practice? Bottom line: What do you need to know?
Hear perspectives and conversation from Ryan O’Neil, Nextmv CTO, and Thiago Serra, Assistant Professor of Business Analytics at the University of Iowa, on what they think is worth knowing about translating OR and decision science learnings into industry practice. As active community members with experience in both academia and industry, and learnings from software engineering, mathematical optimization, data science, and more, they’ll cover a range of topics with the goal of providing concrete, useful advice from their standpoint.
Key segments
- Observations about OR training and community today
- Discussion on topics such as open source OR projects, data science and AI interfaces, software engineering practices, and more
- Participant Q&A
