[Opt-Net] CFP ODS 2027 - International Conference on Optimization and Decision Science 2027

[Emanuele MANNI]

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CALL FOR PAPERS

ODS 2027 – International Conference on Optimization and Decision Science
Lecce, Italy | August 31 – September 3, 2027
http://www.airoconference.it/ods2027


ODS 2027 (International Conference on Optimization and Decision Science 2027) is organized by AIRO (the Italian Operations Research Society), in collaboration with the University of Salento and the University of Calabria, and will be held in Lecce, Italy, from August 31 to September 3, 2027.
The conference brings together researchers, practitioners, and professionals working in Operations Research, Mathematical Optimization, Machine Learning, Artificial Intelligence, and Data-Driven Decision Making. Building on the tradition of previous editions, ODS 2027 aims to provide a forum for presenting recent methodological advances, discussing emerging research directions, and exploring the role of quantitative and computational methods in addressing complex decision-making problems arising in industry, public services, and society.
 
The central theme of ODS 2027 is “Bridging Optimization and Machine Learning for Data-Driven Decision Making”.
 
The increasing availability of data, together with recent advances in machine learning and artificial intelligence, is creating new opportunities for decision support and optimization. At the same time, optimization models provide a principled framework for translating data, predictions, preferences, and operational constraints into actionable decisions.
ODS 2027 focuses on the interplay between these two perspectives. The conference welcomes contributions that explore how optimization and machine learning can complement and reinforce each other, from the integration of predictive models into optimization frameworks to the use of optimization principles within learning algorithms. Particular attention is given to approaches that combine data-driven methods with mathematical modeling, algorithmic techniques, and decision-making under real-world constraints.
The theme encompasses both methodological developments and practical applications. Contributions may address the development of new algorithms and models, computational methods, learning-enhanced optimization, or applications in which data and optimization jointly support better decisions.
 
Scope
ODS 2027 welcomes contributions across the broad spectrum of Operations Research and Decision Science, including, but not limited to:
Mathematical programming and combinatorial optimization
Linear, mixed-integer, nonlinear, and stochastic optimization
Metaheuristics and hybrid optimization methods
Machine learning and artificial intelligence for optimization
Learning-enhanced and data-driven optimization
Optimization-informed and decision-focused learning
Reinforcement learning and sequential decision making
Large Language Models and generative AI for optimization and decision support
Constraint programming and constraint solving
Simulation and simulation-based optimization
Multi-objective optimization and decision analysis
Optimization under uncertainty and robust optimization
Dynamic and real-time decision making
Routing, transportation, logistics, and supply chain management
Production, scheduling, and resource allocation
Energy, mobility, and sustainable systems
Healthcare and public-sector applications
Financial, economic, and business analytics
Applications of Operations Research in industry and society
 
The conference particularly encourages contributions that bridge methodological advances with relevant real-world decision problems, as well as interdisciplinary research at the intersection of optimization, machine learning, artificial intelligence, data science, and engineering.
ODS 2027 will also provide opportunities for interaction between academia and industry, fostering the exchange of ideas, methods, and experiences and creating a forum to discuss emerging challenges in data-driven decision making.
 
Submissions
Participants are invited to submit either:
short papers, or
abstracts.
Accepted papers will be included in a special volume of the AIRO Springer Series, indexed in the main scientific databases. Each registered participant may present at most one abstract or short paper. 
 
Special Sessions
Proposals for Special Sessions are also welcome. A proposal should include:
the title of the session;
a brief description of the session, which is optional;
a list of 3 to 5 potential contributions.
Special attention will be given to proposals that are aligned with the main theme of the conference.
The program also aims to highlight the multidisciplinary nature of ODS 2027, as joint sessions will be organized in collaboration with AiIG (Italian Association of Management Engineering) and AIxIA (Italian Association for Artificial Intelligence).
 
Important Dates
Opening of submissions for abstracts, short papers, and session proposals: December 1, 2026
Deadline for Special Session proposals: March 15, 2027
Deadline for short paper and abstract submissions: March 31, 2027 
 
Conference Chairs
Emanuele Manni - University of Salento
Demetrio Laganà - University of Calabria 
 
Venue
ODS 2027 will take place at Convitto Palmieri, in Lecce. Located in the heart of the Salento peninsula, the city offers a distinctive combination of history, culture, and Mediterranean hospitality, providing an inspiring setting for scientific exchange.
 
Further Information
Conference website: www.airoconference.it/ods2027 <http://www.airoconference.it/ods2027>
E-mail: ods2027 at airoconference.it <mailto:ods2027 at airoconference.it>
Linkedin: https://www.linkedin.com/company/ods2027
Instagram: ods2027_


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Per sostenere la conoscenza e la ricerca,
dona il 5x1000 all'Università del 
Salento.
CF 80008870752
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