The Cathie Marsh Institute for Social Research (CMIST) was launched in August 2014.
It combines the strengths of two existing research centres in the Social Sciences at The University of Manchester, the Cathie Marsh Centre for Census and Surveys Research and the Institute for Social Change.
CMIST will provide a focal point at The University of Manchester, for the application of quantitative methods in interdisciplinary social science research in order to generate a world class research environment.
The Institute builds on our existing strong reputation for quantitative social science and the development and application of advanced quantitative methods.
CMIST aims to be at the forefront, internationally, of quantitative social science research – encapsulating a wide range of topics and methods.
A distinctive feature of the Institute is the application of advanced and innovative methods, within an interdisciplinary framework, to address social, economic and political questions.
PI Professor Fieldhouse has considerable experience of management of large scale university and grant funded research projects. He was the founding director of the Institute for Social Change. He was also executive director of ‘Social Change, a Harvard-Manchester Initiative’, a five year, high profile collaboration with Harvard University and Professor Robert Putnam, arguably the world’s most influential social scientist. ISC and SCHMI represented a combined expenditure of more than £8 million over 5 years. He is also director and PI of the ESRC Census program-funded support team for the Samples of Anonymised Records (SARs), worth approximately £1 million over 5 years and employing 5 staff, and has held dozens of research grants and consultancy projects over the last fifteen years.
The researcher co-investigator Dr Nick Shryane was assistant director of the ISC one of the lead authors of the bid. He has significant interdisciplinary experience and, through his active participation in the weekly Manchester Complexity Group meetings since 2008, represents a crucial link between the social and complexity science parts of the collaboration.