OPTIMA-CON 27 - Turning Optimisation into Impact
Description
OPTIMA‑CON 27 brings together industry, researchers, and emerging talent to focus on how optimisation, artificial intelligence, and machine learning are applied to real‑world operational challenges.
The conference is designed to support strong industry engagement, applied research, and workforce development. The program features industry‑led case studies, applied sessions, and interactive workshops that connect organisations with students and early career researchers, supporting work readiness and future recruitment pathways. Hands‑on optimisation challenges based on real industry problems bring industry, academics, and students together to explore practical solutions and shared challenges.
OPTIMA‑CON 27 places a strong emphasis on interaction and collaboration. Structured sessions are complemented by dedicated networking opportunities, enabling participants to exchange ideas, build partnerships, and strengthen connections across industry and academia. The conference deliberately spans a broad range of optimisation disciplines and application areas, reflecting the diversity of the OPTIMA community and the wide impact of optimisation across sectors.
Program highlights include
Over forty industry and research presentations delivered in an accessible, non‑technical format
Industry panel sessions and briefings
Real‑world industry case studies and applied workshops
Interactive brainstorming and problem‑solving sessions
Industry and careers networking sessions connecting organisations with emerging talent
High‑impact networking across industry, academia, and students
Poster sessions showcasing emerging research
Important dates
8 August 2026 Abstract submission OPENS
8 October 2026 Abstract submission CLOSES
8 October 2026 Registration opens
30 October 2026 Notifications
8 December 2026 Early bird ends
8–10 February 2027 Conference
Conference website
Gallery OPTIMA CON 2024
Tickets for good, not greed Humanitix dedicates 100% of profits from booking fees to charity



