Event Details

Workshop on Choice-based Optimisation and Demand Modelling, hosted by STOR-i and Department of Management Science at Lancaster University Management School.

About the Workshop

We are delighted to announce the Workshop on Choice-based Optimisation and Demand Modelling, hosted by STOR-i and Department of Management Science at Lancaster University Management School. The workshop aims to unite researchers who integrate agents' (customers, passengers, drivers, etc.) choice behaviours into an optimisation framework. This two-day event will feature keynote presentations, seminar sessions, and interactive discussions, providing a platform for knowledge exchange and collaboration. Participants will have the opportunity to engage with cutting-edge research and network with experts in the field.

Keynote Speakers

We are honoured to welcome three distinguished keynote speakers who are pioneers in the field:

• Professor Kalyan Talluri

Affiliation: Professor of Operations Management, Department of Analytics, Marketing and Operations, Imperial College London

Topic of Keynote: Choice-parameters estimation in revenue management - exploiting marginal competitor data and tackling endogeneity

• Professor Christine Currie

Affiliation: Professor of Operational Research, Department of Mathematical Sciences, University of Southampton.

Topic of Keynote: Integrating the results of a stated preference choice model to optimise prices for demand-responsive transport

• Professor Pelin Pekgun

Affiliation: Thomas H. Davis Professor in Business and Professor of Analytics at Wake Forest University School of Business

Topic of Keynote: Choice-based demand modelling and censored demand estimation for personalised offers

Call for Abstracts

We invite submissions of abstracts related to choice-based optimisation, demand modelling, and their applications in various domains, including transportation, hospitality, marketing, energy, healthcare, supply chain management, and more. Topics of interest include, but are not limited to:

• Revenue management and pricing

• Assortment optimisation

• Discrete choice modelling

• Machine learning in choice modelling

• Simulation-optimisation

• Public transportation; Micro mobility

• Ride-hailing and sharing

• Last-mile logistics/Online shopping/On-demand delivery

• Recommendation systems/Advertising/Marketing

• Retail Analytics

• Location Analytics

• Demand Management in Supply Chains

Submission Deadline: April 30th, 2025

Notification of Acceptance: From submission to May 7th, 2025

Abstracts should not exceed 300 words. Please submit your abstracts here.

Programme

The workshop programme will include:

• Keynote presentations

• Seminar sessions

• Networking opportunities

A detailed programme will be available closer to the event date.

Venue

The workshop will be held at Lancaster University, a world-renowned institution known for its excellence in research and teaching. Lancaster, nestled in the heart of Northwest England, is a vibrant city that blends rich history with modern charm. It offers a perfect mix of culture, heritage, and scenic beauty, with a thriving arts scene, cozy cafés, and easy access to the breathtaking Lake District.

Lancaster is well-connected by road, rail, and air. The city is served by Lancaster Railway Station, with frequent direct trains to London (around 2.5 hours), Manchester, Glasgow, and other major cities. For air travel, Manchester Airport is the closest major international hub, about an hour away by train or car.

Accommodation

A range of accommodation options is available at and near the university, including on-campus housing and local hotels. For more information, please visit the following links.

On-campus Guest Rooms

Lancaster House Hotel (on campus)

Organising Committee

Burak Boyaci, Dong Li, Alp Arslan, Thu Dang, Yu Jiang