Craig joined the Tyndall Centre in 2020 brining experience of solutions for large scale data management and the conceptualisation and development of integrated assessment frameworks as well as working with software engineers and HPC facilities and similar, such as DAFNI (Data Analytics Facility for National Infrastructure). His research interests also include the resilience and robustness of infrastructure networks to spatial hazards while also supporting a philosophy for the increased openness of research around developed models and code.
Background
Craig Robson has been working as a researcher since 2015 on a number of significant researcher projects. He graduated from in 2011 with a degree in GIS from Newcastle University and went on to undertake a PhD exploring the robustness of hierarchical critical infrastructure networks to spatial hazards, completed in 2017. After developing skills and experience in spatial data management, network analysis, network resilience and graph theory along with a suite of technical software development skills, he started work as researcher, and has since been involved in a number of significant projects, some of which are detailed below.
Craig has worked with ITRC (Infrastructure Transitions Research Collaboration) on a number of projects and across a variety of roles. Initial work focused on the development of visualisation platforms for stakeholders and policy makers, in particular what is now the National Infrastructure Commission, for reporting on the modelling results on the future development of national infrastructure (NISMOD). He went onto work on the conceptual development and implementation of the second version of the NISMOD model, whilst also developing a significant data management platform and database (NISMOD-DB), which is to form part of DAFNI and the National Infrastructure Database.
More recently Craig has been working on the development of a real-time rainfall and flood forecasting model, for the Flood-PREPARED project, designing and implementing the model workflow and couplings. Working with local stakeholders the model will allow policy makers and others to assess the potential impact of significant rainfall, forecasted or not, on the urban environment and the critical transport systems, all ahead of time. This has been developed with support from DAFNI, and working with them, will be deployed on this national facility.
