Upskilling social scientists in big data: ‘Encounters’ summer schools
Author: Louise Corti, Chris Park, Sarah King-Hele, Peter Smyth, University of Essex, UK Data Service
Date: 22 November 2017
Type of case study: Teaching
The past decade has seen a huge rise in studying social phenomena using data not initially collected for research and what we term ‘big data’ or new forms of data. Data gathered from the internet represent massive amounts of mineable information on the human condition, and data from digital sensors, financial transactions and administrative records are now viewed as important data commodities for the social scientist. However, despite the wide availability of training in data science and analytics, a significant gap still remains: how can the average social scientist make the transition into data science? The UK Data Service is well placed to help fill this gap by offering social scientists intensive training across the ‘big data’ lifecycle.