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Details of Grant 

EPSRC Reference: EP/K039504/1
Title: Catalysing economic growth: releasing the value of big data
Principal Investigator: Leiponen, Dr A
Other Investigators:
Lupu, Dr EC Mulligan, Dr CEA Haskel, Professor J
Koutroumpis, Dr P
Researcher Co-Investigators:
Project Partners:
Department: Imperial College Business School
Organisation: Imperial College London
Scheme: Standard Research
Starts: 24 October 2013 Ends: 31 May 2016 Value (£): 736,424
EPSRC Research Topic Classifications:
Information & Knowledge Mgmt
EPSRC Industrial Sector Classifications:
Information Technologies
Related Grants:
Panel History:
Panel DatePanel NameOutcome
07 Mar 2013 NEM in the DE - Interviews Announced
26 Feb 2013 NEM in the DE - Sift Announced
Summary on Grant Application Form
How will Big Data affect innovation, growth and well-being in the UK economy? By Big Data we mean very large or complex datasets that are constantly accumulating in society because of the dramatically increased ability to sense, capture, store and analyse information about social, economic, or scientific phenomena. We anticipate that Big Data and associated analytics may ultimately transform how societies and communities view themselves, and how governments, large corporations, and entrepreneurial startup companies relate to those populations. Therefore it is essential to consider how Big Data might contribute to economic growth and generate opportunities for innovation for UK companies. To shape this discussion, we propose a multi-disciplinary approach that combines economic modelling and measurement, business modelling, and insight into technological dynamics.

This project will create, analyse and describe new economic and business models for valuing Big Data and demonstrate how this can impact upon economic growth for the UK economy. Outputs from this work are directly relevant to policy makers and companies wishing to understand how to harness Big Data. We will investigate both how firms innovate and compete around Big Data and how the local technical and regulatory frameworks enable the commercialization and consumption of the information that Big Data generate. We intend to combine the unique capabilities within Imperial College London to investigate this area of great economic potential and deliver real-word impact through publications, events, education, and direct industry and policy engagement.

Our proposed research brings together leading scholars in Economics, Business, and Computing to investigate critical societal and industrial issues related to Big Data. We will analyse data value chains to shed light on value creation based on large datasets; we will examine firms' strategies in standardization and governance of data assets and activities in network industries, as well as individuals' preferences and constraints in creating and sharing data, to highlight private parties' attempts to capture value from these datasets. We will also investigate the regional implications for Big Data capabilities and effects on macroeconomic performance. In addressing each of these business and economic questions, we will consider ongoing technological dynamics in the area of computing, in particular, in terms of data quality, management, protection, and sharing agreements.

Key Findings
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Potential use in non-academic contexts
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Organisation Website: http://www.imperial.ac.uk