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Event | Annual Conference 2017

Annual Conference 2017

Date: Thursday 14 & Friday 15 September 2017
Location: University of Essex, Colchester Campus

Submit your paper for consideration now!

New data created by new technologies and devices are rapidly emerging as important to supplement and in some cases replace datasets collected by traditional means. Such data include:

  • internet data, derived from social media and other online interactions;
  • tracking data, monitoring the movement of people and objects;
  • satellite and aerial imagery.

Data integration and the potential to enhance traditional datasets by linking, calibrating and interoperating them with ‘new’ data offers opportunities for researchers to gain new insight and perspective on existing research challenges, and to investigate new questions in the context of an increasingly connected and digital world.

The Business and Local Government Data Research Centre (BLGDRC) funded by the Economic and Social Research Council (ESRC), helps researchers, and analysts in local authorities and businesses to explore these new forms of data to enhance social science research.

This year, BLGDRC is organising a two day Annual Conference, focusing on two of its research streams: local economic growth and geographic information systems (GIS). The Conference will be held at the University of Essex, Colchester Campus on Thursday 14 & Friday 15 September 2017.

We welcome submissions of papers in the following areas:

  • Entrepreneurship
  • SME finance
  • Skills gaps
  • Applications of spatial data and technologies in local government
  • Techniques for the management and processing of large spatial data sets

Submissions are welcome until Wednesday 31 May, and decisions will be given to applicants by Monday 3 July.

Registration for people wishing to attend this conference is expected to open on this page shortly after the paper submission deadline. In the meantime if you have any questions about the 2017 conference, please contact blgdataresearch@essex.ac.uk

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