CDT: New Forms of Data

The Challenge

Despite its obvious importance, the dynamic analysis of social systems has been compromised for too long by the lack of suitable sources of evidence. A significant feature of the new data environment is that it is comprised streams of data that are often fast-moving, sometimes real-time but also over longer time horizons. These new sources have the potential to unlock enormous value: for business, for policy, for society.

The New Centre

The Centre for Doctoral Training in New Forms of Data will focus on innovation in and application of data analytics. We will promote the creation and analysis of new longitudinal and streamed data resources for socio-economic investigations. We will create new methods, investigate social processes and facilitate interventions across five key substantive areas:

  • Healthy behaviours and lifestyles: long-term health outcomes, obesity, food purchasing, health monitoring systems.
  • Mobility: traffic management, segregation, mobility as a service, population dynamics.
  • Ethical consumption and production: pollution, environmental impact/ rebound effect, credit and consumer behaviour, energy patterns.
  • Policing, Crime and Security: early warning systems for social problems, policing dynamics and intervention, crime spatio-temporality
  • Finance and the Economy: system modelling, housing supply and demand, macroprudential policy models, consumer dynamics

The academic partners

The academic partners in this consortium are four research intensive universities (Leeds, Liverpool, Manchester, Sheffield) that provide the necessary depth to sustain a high impact research programme. We have a history of cooperation through existing Doctoral Training Centres, the ESRC Big Data Network and the N8. We are close geographically and will build strong cohorts of doctoral researchers through our joint programme of cohort training and development activity.

Seeking students and non-academic partners

We are seeking to expand or portfolio of non-academic partners from all sectors with an interest in evidence-based analytics of social systems and who would like to participate in the consortiums activities.

We are also interested to hear from smart, motivated students currently at undergraduate or masters level who are interested in working an exciting new area with excellent future employability prospects.

For more detailed information contact: Professor Mark Elliot, University of Manchester (mark.elliot@manchester.ac.uk).