Streams and Organisers



Eduardo Contreras - [email protected]

Analytics in Finance


Mee Chi So - [email protected]

Applications in Strategic Issues


Martin Kunc - [email protected]

Artificial Intelligence and Machine Learning

The last decade has seen the rapid growth of artificial intelligence (AI) and machine learning (ML). Not only has this area become a key concern for modern businesses and organisations, but also for society more generally as we see AI/ML being used in medicine, health, criminal justice, social care, and financial domains. This stream welcomes contributions that consider a broad range of applications, opportunities, and issues arising from the growth in AI/ML. In particular, we invite talks covering:
- organisational benefits and challenges of implementing AI/ML applications
- ethical issues arising in AI/ML development and use
- the use of AI/ML in OR projects
- novel applications of AI/ML
- AI/ML development approaches (e.g., development methodologies, methods, techniques)
- the potential for OR methods to contribute to the development and use of AI/ML
- implications of AI/ML for OR practice and the OR community


Richard Vidgen - [email protected] 
Shakeel Khan - [email protected]
Michael Mortenson - [email protected] 
Mathias Kern - [email protected]


Behavioural OR

Behavioural OR (BOR) aims at benefits to OR of comparable impact and magnitude as the behavioural work from the likes of Simon—who sometimes wore the hat of an operational researcher—followed up by Kahneman and Gigerenzer, has made to fields such as economics, healthcare and policy. Virtually all areas of OR can benefit from behavioural insights, with traditional areas having done so including decision analysis, simulation, system dynamics, supply chain management, and so on. The BOR stream at OR61 welcomes contributions from both academics and practitioners.  


Konstantinos Katsikopoulos - [email protected]

Data Envelopment Analysis (DEA) and its Applications

This stream covers the theme of efficiency and productivity analysis and performance management. Both parametric and non-parametric studies will be considered. We especially welcome talks on the theory, methodology and application of Data Envelopment Analysis and econometric methods in performance management. Of particular interest are successful applications of performance and efficiency analysis in the real world, for example in banking, healthcare, education, transportation, Energy, and so on.


Ali Emrouznejad  -  [email protected]
Adel Hatamimarbini - [email protected]

Decision Analysis SIG


Nadia Papamichail- [email protected]
Valentina Ferretti - [email protected]

Disaster Management


Vahid Akbarighadikolaei - [email protected]


We invite you to submit an abstract to the Forecasting Stream of the OR Society Annual Conference. Forecasting remains at the heart of decision making in Operational Research, and we hope to offer a number of sessions sampling the plethora of methodological approaches and application areas, relevant both from an academic and a practitioner perspective.

This year, the stream is being organised by the newly established UK Chapter of the International Institute of Forecasters (IIF), a network of academics and practitioners with an interest in forecasting. Further information on the IIF UK Chapter can be found here:

By partnering with the OR Society, we hope to give greater visibility to the stream, and to attract a large pool of participants. To encourage young researchers, we hope to offer through the IIF and on a competitive basis, financial assistance to research students wishing to participate in the stream. More information on this assistance will follow, however in the mean time we encourage submissions from this subgroup.

Topics of interest for the OR62 stream include but are not limited to:

  • Forecasting principles
  • Evaluation of forecasting methods and forecasting competitions
  • New forecasting methods
  • Big data, machine learning and forecasting
  • Behavioural issues in forecasting and Judgemental forecasting
  • Forecasting for logistics and supply Chain Management
  • Energy forecasting


Devon Barrow - [email protected]

Futures and Foresight Science

The "Futures and Foresight Science" stream at OR62 will be a one-day event with keynote addresses from distinguished academics and experienced practitioners, and discussions on the latest developments in academic research and practical applications.

We are inviting academics and practitioners to submit abstracts of up to 500 words (including references). All submissions will be reviewed to be accepted to the conference. 

Academics’ contributions could be both theoretical and empirical from any field of future anticipation or foresight. The extended abstracts should indicate: the research focus; the literature to which they are contributing; a short description of the methodology; and an indication of the research outcomes. Practitioners’ contributions could be both from their own organisation and/or consultancy projects. Extended abstracts should indicate the nature of the intervention and a reflection on the lessons learned.

Specifically, we invite papers in the following themes:

(1) Uses of different methods individually or in combination across a range of application areas. With the following of particular interest:

  • Particular scenario methods
  • Variants of the Delphi method
  • Horizon scanning methodologies
  • The combination of futures methodologies

(2) Working with judgement, especially papers exploring:

  • The role and validity of expert judgment in anticipating the future
  • Judgmental probability forecasting
  • The combination of judgments from groups of individuals

(3) Pushing boundaries / new areas of exploration, especially:

  • The role of systems thinking in futures and foresight
  • The behavioural dynamics of using a focal method
  • Advances in decision-aiding methods that contend with future uncertainty


Nicola Morrill - [email protected]
George Wright - [email protected]



Richard Wood- [email protected]
Antuela Anthi Tako - [email protected]

Information Systems

New developments in Analytics, Big Data, Data Science, and Artificial Intelligence rely on digital devices and the Internet of Things (IoT) that are in continuous use and are capable of monitoring the minutiae of our lives while have a significant impact on how organisations operate and perform. Huge quantities of real time data are generated and processed through pre-determined algorithms that provide the information that many decision makers depend on in order to efficiently and effectively manage the various operations across enterprises. However, the quality of the information that is produced by these algorithms is contingent on the quality of the information systems and their data. Therefore, embedding sophisticated analytics efforts and simulation models into the everyday work of the business operations requires integration with the processes and information systems that support them combined with changing the behavior of the people who perform that work.

Motivated by a symbiotic relationship, this collaborative stream between the Operational Research Society and the UK Academy for Information Systems seeks contributions that examine the relationships between information systems and operational research for the benefit of individuals, organisations and/or wider society. The stream’s topics of interest include, but are not limited to:

  • Algorithmic decision making and people
  • Big data analytics and operations management
  • Big data and Internet of Things in organisations
  • Business analytics and business value
  • Business Intelligence in Health Care
  • Co-creating and capturing business value from IT
  • Cognitive computing to maximise operational performance
  • Information sharing and big data analytics in operational research
  • Information Systems across the supply chain
  • Machine learning and analytics
  • Managing big data projects across business operations
  • Robot process automation
  • Strategic and change management issues stemming from big data analytics


Dimitra Skoumpopoulou - [email protected]
Oliver Kayas [email protected]
Crispin Coombs [email protected]

Locational Analysis: Theory and Applications

The location stream intends to gather the operations research community from different parts of the world to share experiences in the field of locational analysis. We invite participation from all areas related to location theory including: network location, continuous location, discrete location, obnoxious location, competitive location, hub location, location-routing, advanced location models, location applications (logistics, network design), exact and heuristic solution methods."


Nader Azizi - [email protected]
Sergio Garcia Quiles  - [email protected]

Logistics & Transportation

The aim of this stream is to bring together researchers and practitioners to share their experiences and report on emerging approaches in solving problems within the area of logistics and transportation. These can be theoretically focused, computationally oriented or applications based. Exact, metaheuristics and general purpose approaches used for automated generation of heuristics for solving single and multi-objective transportation optimisation problems and issues related to development of such approaches are also of particular interest. Topics may include (but not limited to): vehicle routing, airport scheduling, bike/car sharing, public transportation, inventory related problems, emergency response logistics, among others.


Ahmed Kheiri - [email protected]



Andrew Parkes - [email protected]
Ender Ozcan - [email protected]

OR in Third Sector


Ruth Kaufman - [email protected]

Practical Applications of OR


Rupert White - [email protected]
Dominic Cave - [email protected]


The simulation stream welcomes submissions from all areas of simulation methodology and practise. All simulation methods will be considered including discrete event simulation, system dynamics, agent based simulation, hybrid simulation etc. Topics of interest include but are not limited to Simulation on the Cloud, Simulation Software and Technology, Parallel and Distributed Simulation PADS and Simulation methodology and its translation into practice. We are also keen to receive case studies that demonstrate the benefits of simulation in practice in all areas.


Masoud Fakhimi - [email protected]

Stochastic Optimisation


Robert Shone - [email protected]

Sustainable Development Goals

This stream covers Operational Research contributions addressing any of the 17 Sustainable Development Goals set out by the United Nations, including no poverty, zero hunger, good health and well-being, quality education, gender equality, clean water and sanitation, affordable and clean energy, decent work and economic growth, industry innovation and infrastructure, reduced inequalities, sustainable cities and communities, responsible production and consumption, climate action, life below water, life on land, peace justice and strong institutions, partnerships for the goals. Papers addressing the management of humanitarian disasters are warmly welcomed.”


Honora Smith - [email protected]
Paola Scaparra - [email protected]

Sustainable Maritime Operations


Cihan Butun - [email protected]
Afshin Mansouri - [email protected]

Sustainable Supply Chain Management

Sustainability has now become an integral part of supply chain management given the increased demand from a wide range of stakeholder groups for organisations to better manage their supply chains and operation functions in a more responsible manner. The field of OR has provided the opportunity, past and present, to address pressing organisational and industrial challenges such as transitioning to a more sustainable supply chain. This stream provides an opportunity for both researchers and practitioners to share recent advances in the field of OR in Sustainable Supply Chain Management SSCM. We welcome areas dealing with methodological, applications, contextual, analytical and developmental issues of OR in SSCM.


Masoud Fakhimi - [email protected]
Lampros Stergioulas - [email protected]

Systems Thinking

Many of us share a common interest in systems thinking to address highly complex organizational, community, social and environmental problems. This stream provides a fantastic opportunity to bring together people from the OR and systems communities so they can learn from and enrich one another. We welcome the widest possible diversity of practitioners and academics, whichever tradition of systems thinking or systemic OR you come from. We encourage the submission of abstracts discussing applications of systems thinking; methodological innovations; theoretical contributions; thoughts on the diversity, impacts and ethics of systemic OR practice; and reflections on the past, present and future of the relationship between systems thinking and OR.


Gerald Midgely - [email protected]
Giles Hindle - [email protected]

Teaching OR & Business Analytics

This stream is concerned with all aspects of teaching and learning Operational Research, Business Analytics and Statistics. 

We welcome any submissions that can contribute to the discussion on how ‘best’ to help students understand, develop and engage in learning and development of skills within these subject realms.  This includes teaching cases, using/teaching with software, innovative teaching methods, teaching large/small classes, ‘flipping the classroom’, distance learning, novel applications, teaching with simulations, effective assessments, maths/statistics anxiety, collaboration with industry and practice, company training, links with schools, student projects, etc...


Kathryn Hoad - [email protected]