Projects per year
Organisation profile
Organisation profile
The flagship ESRC Business and Local Government Data Research Centre will analyse smart data to provide better knowledge that will benefit society and empower business.
The project is being led by the University of Essex in partnership with UEA and the University of Kent (Eastern ARC), along with the London School of Economics.
The centre forms a key part of phase II of the Economic and Social Research Council (ESRC) Big Data Network.
It will make data, which is routinely collected by business and local government organisations, accessible to researchers in ways that safeguards individuals' identities.
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Katy Appleton
- School of Environmental Sciences - Lecturer
- Business and Local Government Data Research Centre - Member
- Environmental Social Sciences - Member
Person: Academic, Teaching & Scholarship, Research Group Member, Research Centre Member
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James Cornford
- Norwich Business School - Associate Tutor, Associate Professor
- Business and Local Government Data Research Centre - Member
- Innovation, Technology and Operations Management - Member
Person: Academic, Teaching & Scholarship, Research Group Member, Research Centre Member, Associate Tutor
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Beatriz De La Iglesia
- School of Computing Sciences - Professor
- Norwich Institute for Healthy Aging - Member
- Business and Local Government Data Research Centre - Member
- Norwich Epidemiology Centre - Member
- Data Science and Statistics - Member
Person: Research Group Member, Research Centre Member, Academic, Teaching & Research
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Hybrid modelling and secure networked control for energy management of microgrid systems
Zhao, W., Buckley, O., Kulinskaya, E. & Parr, G.
30/03/21 → 29/03/23
Project: Research
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A model for effective partnership working to support programme evaluation
Fynn, J., Milton, K., Hardeman, W. & Jones, A., 4 May 2022, (E-pub ahead of print) In: Evaluation.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
A multi-variate time series clustering approach based on intermediate fusion: A case study in air pollution data imputation
Alahamade, W., Lake, I., Reeves, C. E. & De La Iglesia, B., 14 Jun 2022, In: Neurocomputing. 490, p. 229-245 17 p.Research output: Contribution to journal › Article › peer-review
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Counting spikelets from infield wheat crop images using fully convolutional networks
Alkhudaydi, T. & De La Iglesia, B., 31 May 2022, (E-pub ahead of print) In: Neural Computing and Applications.Research output: Contribution to journal › Article › peer-review
Prizes
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Top cited article in 2020-21 in Research Synthesis methods
Kulinskaya, Elena (Recipient), 31 Mar 2022
Prize: Other distinction
File
Activities
- 2 Publication editorial role
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Research Synthesis Methods (Journal)
Elena Kulinskaya (Peer reviewer)
2 Jan 2018 → …Activity: Editorial work › Publication editorial role
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Environmental Evidence (Journal)
Elena Kulinskaya (Peer reviewer)
2 Feb 2011 → …Activity: Editorial work › Publication editorial role
Press / Media
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The healing power of gardens: As the virtual Chelsea Flower Show starts, how intensive care patients recover more quickly in life-enhancing fresh air
19/05/20
1 item of Media coverage
Press/Media: Press / Media
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We Asked A Scientist Why Coronavirus Transmission Is So Much Lower In London Than Other Parts Of England
16/05/20
1 item of Media coverage
Press/Media: Press / Media
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How Norwich achieved lowest coronavirus death rates in England
7/05/20
1 item of Media coverage
Press/Media: Press / Media