International Journal of Geo-Information Concept Paper Taming Disruption? Pervasive Data Analytics, Uncertainty and Policy Intervention in Disruptive Technology and its Geographic Spread Roger C. Brackin 1,*, Michael J. Jackson 1, Andrew Leyshon 1 and Jeremy G. Morley 2 1 School of Geography University of Nottingham, Nottingham NG7 2RD, UK;
[email protected] (M.J.J.);
[email protected] (A.L.) 2 Ordnance Survey, Southamption SO16 0AS, UK;
[email protected] * Correspondence:
[email protected] Received: 25 November 2018; Accepted: 10 January 2019; Published: 16 January 2019 Abstract: The topic of technology development and its disruptive effects has been the subject of much debate over the last 20 years with numerous theories at both macro and micro scales offering potential models of technology progression and disruption. This paper focuses on how theories of technology progression may be integrated and considers whether suitable indicators of this progression and any subsequent disruptive effects might be derived, based on the use of big data analytic techniques. Given the magnitude of the economic, social, and political implications of many disruptive technologies, the ability to quantify disruptive change at the earliest possible stage could deliver major returns by reducing uncertainty, assisting public policy intervention, and managing the technology transition through disruption into deployment. However, determining when this stage has been reached is problematic because small random effects in the timing, direction of development, the availability of essential supportive technologies or “platform” technologies, market response or government policy can all result in failure of a technology, its form of adoption or optimality of implementation.