Urban
Cities have long been producers and consumers of ‘big data’ whether it be about its population, economy, transport networks, flows of people along with the impacts of climate change on the....
Urban, Energy & Environment
Data science techniques within environmental and earth sciences drive studies from the molecular to global scale. Better understanding the history, future and present challenges facing our planet - including our role in that evolution - requires techniques that probe fundamental hypotheses. These can provide new insights into key drivers of change. Environmental science is a highly multi-disciplinary field. As such, technologies we require are both responsive to developments from specific fields, such as mathematics or computer science, and developed in response to new experimental and/or modelling facilities. More generally these techniques bridge work from both experimental facilities and modelling facilities.
Energy
Seizing the potential of big data is essential in today’s energy environment. Analytics can unlock the promise of big data, bringing to light new analytic insights at all stages of the industry...
Environment
Data science techniques within environmental and earth sciences drive studies from the molecular to global scale. Better understanding the history, future and present challenges facing our planet....
Projects
Manchester has a strong track record of Urban, Energy and Environment research which draws on the city of Manchester’s unique place at the epicentre of industrial capitalism, as well as its...