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Big data skills in the social sciences
Fri 14 October 2016, 12:00 – 16:00 BST
Many new sources of data have become available for studying individuals and society in recent years. Social media data, transaction information, administrative data, sensor data and other new sources of data have huge potential for social scientists to learn more about how people interact, what they buy, where they go and many other aspects of society for which there was previously little data.
Many of the skills that are needed in this new environment are not ones that social scientists have traditionally learned. For example, dealing with very large datasets, collecting data from websites, storing and manipulating very large datasets, dealing with different kinds of data e.g. structured vs unstructured data and deriving information from the data using appropriate analyses.
Aimed at social science researchers or lecturers with limited knowledge of big data, this event aims to discuss what new skills are needed to do social science research using these new forms of data and the challenges of acquiring these skills.
This event is organised by the Data, Skills and Training research group at the Cathie Marsh Institute for Social Research (CMIST).
12.00 Lunch and registration
Chair: Rachel Gibson
Rachel Gibson, Director of CMIST, and Magnus Rattray, Director of the Data Science Institute, University of Manchester
13.00 Big data skills for online data
Dr Suzy Moat, University of Warwick
13.30 Big data skills in health
Dr Georgina Moulton, University of Manchester
Chair: Jackie Carter
14.30 Big data skills in geo-spatial or smart cities data
Dr Richard Kingston, University of Manchester
15.00 Big data skills in transactional and consumer data
Dr Andy Newing, University of Leeds
15.30 Big data training needs for social scientists – discussion
Date and Time
Boardroom, 2nd Floor, Arthur Lewis Building
University of Manchester