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.

Projects: The University of Manchester has a strong track record of involvement in developing smart solutions in cities with projects like CityVerve and Triangulum Project. Being smart means making better decisions, and the University of Manchester has developed a series of projects that use data to help citizens and governments achieve their goals including: DIMMER, SMARTiP, TellUs, Climate Proof Cities, Manchester Cycling Lab, and Map for England.

atmosphericv

Centre for Atmospheric Science

The Centre for Atmospheric Sciences studies processes important to climate change and air quality in the troposphere and lower stratosphere – the lowest 20 km of the Earth’s atmosphere.

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