Information concerning the Undergraduate Operational Research Challenge Do you want to solve practical problems using mathematics? The School of Mathematics at the University of Edinburgh in collaboration with HiGHS invites you to participate in the Edinburgh Undergraduate Operational Research Challenge to design a solution for a practical problem using operational research. What is Operational Research? Operational Research is the mathematical science of helping decision makers to find better solutions for complex planning problems. Operational research (OR) is used extensively in companies and in government to make better decisions. Its techniques are applied every day to problems in healthcare, transportation, energy, and many other areas. For example, OR was used during the Covid-19 pandemic to accelerate the development of vaccines. OR is also used to find the best ways to decarbonise our energy supplies and to design optimal radiation therapy treatments for cancer. These are only examples; the possible applications of OR are endless! This challenge is about applying OR to a real-world problem in portfolio optimization. The Challenge! The OR Challenge is organised by the School of Mathematics in partnership with Public Health Scotland. By participating in the challenge you will play the role of a consultant working with Public Health Scotland to derive a data-driven optimisation strategy for a real-world problem. The challenge consists of two phases. 1) The development phase. After registering for the challenge, you will receive the detailed description of the task by email no later than the next business day. You will also have access to short videos explaining mathematical concepts and tools that will help you carry out the task. At the end of this phase you should send to ORchallenge@ed.ac.uk the following documents: A pdf document of at most 10 pages, excluding appendices, with the detailed explanation of the approach you used, the computations performed, and the logical thinking supporting your recommendations, explaining the limitations of your modelling approach, and stating any caveats that apply to your results. A second pdf document of 1 page that is a business report to be given to the client. You do not need to include any technical details in this report. The information needs to be convincing enough for the client to pick your solution. The deadline for submission of the development phase has been extended to 23:59 20 January 2025. 2) The presentation phase. The highest ranked submissions from the development phase will be invited to give a live presentation of their work to the decision-makers. This year the presentation phase is sponsored by HiGHS. Details of the specific date and place will be announced later. About Public Health Scotland Public Health Scotland is Scotland’s lead national body for improving and protecting the health and wellbeing of all of Scotland’s people. Our vision is for a Scotland where everybody thrives. Focusing on prevention and early intervention, we aim to increase healthy life expectancy and reduce premature mortality by responding to the wider determinants that impact on people’s health and wellbeing. To do this, we use data, intelligence and a place-based approach to lead and deliver Scotland’s public health priorities. We are jointly sponsored by COSLA and the Scottish Government and collaborate across the public and third sectors. We provide advice and support to local government and authorities in a professionally independent manner. Our values of respect, collaboration, innovation, excellence and integrity are at the heart of our work. About HiGHS Image HiGHS is the world's best open-source linear optimization software, and was developed in the University of Edinburgh by Julian Hall and Ivet Galabova using solvers written by Edinburgh PhD students and a developer. It can be called from many languages and modelling systems, and provides the linear programming and mixed-integer programming solvers in SciPy and MATLAB. For more information you can visit their website. Prizes The prizes for the winning teams are as follows: Each member of the winning team will receive a £400 prize and a paid follow up consultency project with Public Health Scotland*. Each member of the runner-up will receive a £300 prize. Each member of the third place team will receive a £50 prize. *The paid consultancy project may be subject to eligibility criteria. Evaluation criteria We are looking for An inventive and optimal solution. A well-presented idea. A detailed analysis. The correct use of optimization techniques and tools. Appropriate visualisations such as charts, diagrams, panels, etc. The overall approach adopted in terms of modelling and analysis. The decisions of the judging panel are final and cannot be appealed. To participate in this challenge you must: Be interested in using numerate techniques to solve practical problems that enables decision makers to execute better decisions and make a difference Work individually or in a group of two. Be a Bachelor’s student enrolled in the last two years of the program at a UK University. Registration Registrations open on the 21st of October 2024. You can register using the following link. https://forms.office.com/e/SUXXegT2mS Registrations will close on the 8th of November 2024 at 23:59. Contact ORchallenge@ed.ac.uk Operational Research MSc programme The School of Mathematics offers a number of MSc Programmes in Operational Research, using mathematical techniques to tackle real-life decision problems. Optimization and Operational Research The main focus of the Optimization and Operational Research group is on mathematical and computing aspects of optimization. It has world-leading expertise in the solution of large sparse linear and quadratic problems by two of the core technologies in optimization - the simplex method and interior point methods. The group also has interests in nonlinear and global optimization, decomposition methods, parallel computing, industrial applications of optimization, and stochastic optimization. There is additional expertise in simulation and stochastic areas of operational research, and in the mathematics of energy systems. This article was published on 2025-04-22