Our mission is to provide better understanding of how infrastructure enables both service providers and users to innovate to provide better critical services.
Infrastructure is a complex network of systems with intra- and inter-dependencies, feedbacks, and non-linearities, which demand a focus on resilience and sustainability, given the uncertainties of broad climate and technological change trajectories. Such critical services need to innovate to meet society’s needs, whilst protecting against hazards and minimizing environmental harm.
Our methods are mostly computational and we have a preference for agent-based and object- oriented models, but also have expertise in developing multi-scale and trans-dimensional first-principles models. However, we embrace qualitative data and generally follow mixed methods approaches which require us to work with many disciplines, integrating understanding across nexuses and systems of systems.
We are part of the UK Data Analytics Facility for National Infrastructure (DAFNI) and the UK Collaboratorium for Infrastructure and Cities (UKCRIC). These projects are spearheading enabling investments which will allow us to better understand and adapt infrastructure systems to deliver critical services that meet the needs of society, the economy and the environment.
The Head of The Infrastructure Systems Institute is Prof Liz Varga.
Academic and research staff
- Dr Ilan Adler
- Dr Dmitry Borisoglebsky
- Dr Gemma Cremen
- Dr Tom Dolan
- Prof Carmine Galasso
- Dr Augustin Guibaud
- Miss Jie He
- Dr Tim Hillel
- Dr Yukun Hu
- Dr Evangelia Manola
- Prof Liz Varga
Research students
- Abdulrahman Almufarrej
- Afrah Aledan
- Shaolei Bai
- Xiaoyuan Cheng
- Jamie Gonzalez Zapata
- Yuxuan Li
- Zahra Mahabadi
- Lauren McMillan
- Mengke Ni
- Lillie-Amber Peters
- Jie Sun
- Yansong Wang
- Ruiqiu Yao
Associates
- Prof Luiza Campos (Department of Civil and Environmental Engineering)
- Dr Tohid Erfani (Department of Civil and Environmental Engineering)
- Dr Zhen Ye (The Bartlett School of Sustainable Construction)