Leeds Centre for Projects
Shaping Projects for Sustainable Futures
The Leeds Centre for Projects (LCP) is a globally leading centre of excellence advancing the knowledge in project management research and education and creating impact through engagement with industry, government and third sector organisations.
Projects shape our world and through projects for the good of society we can build a better future. Policy and strategy are implemented through projects on a global, national and local level. Projects are critical to the progress of modern society with project management rapidly becoming a sought-after skill set to deliver value for the social systems they serve. The ability to control and manage projects is a critical capability underpinning success, sustainability and wellbeing.
News
New LCP Deputy Director Dr Dicle Kortantamer
We are delighted to announce that Dr Dicle Kortantamer has been appointed as Deputy Director of the Leeds Centre for Projects. Dicle has been an active member of the LCP since its inception and has helped to shape the LCP into what it is today. As the LCP is growing in terms of the size...
Dr Dicle Kortantamer becomes a Visiting Fellow with Hult International Business School
We are delighted to share that our Lecturer in Project Management Dr Dicle Kortantamer has been appointed as a Visiting Fellow at the Leadership Lab, Hult International Business School. Hult is a triple accredited business school and their Leadership Lab is unique in its positioning by conducting highly practical research that aims to equip individuals...
New paper: Beyond guesswork: Predicting project delays and timelines with a forward-looking risk-adjusted approach
Construction and engineering projects rarely go exactly as planned. When delays occur - whether from unexpected weather, scope changes, or supply chain disruptions - project managers face a critical challenge: how to accurately calculate the time extension needed and its associated costs. The traditional approach treats these calculations as certainties, using single-point estimates that ignore...