AQMeN - Applied Quantitative Methods Network

About AQMeN

AQMeN is a network of people who have a shared interest in quantitative methods and who wish to refresh their existing knowledge or learn a range of new skills. The Network is led by a group of academics from eight of the Scottish Universities and its activities are aimed primarily at Scottish postgraduate students and academics of all levels. We also encourage quantitative researchers from other sectors, such as local and central government and voluntary organisations, and academics based outside Scotland to join.

The planned activities of the Network include:

  • A programme of lectures by international experts focusing on the use of specific methodological approaches in different areas of academic and policy interest.  
  • A series of related training events and master classes led by experts who will provide theoretical grounding and practical training in the use of these methods.
  • Support, advice and practical assistance for users of quantitative methods in Scotland.
  • A dedicated training programme for Scottish doctoral students.
  • Development of a set of teaching materials including outlines for modules in intermediate and advanced quantitative methods and ready to use teaching datasets.
  • Creation of a new web resource which keeps people up to date with current methods and provides links to a range of helpful and supportive resources.
  • A regular newsletter updating people on forthcoming events and featuring articles on interesting individuals and their research.

The AQMeN Team:

Prof Susan McVie, Director
Heather Alexander, Training & Knowledge Exchange Officer
Dr Helen Brown, Senior Statistician
Angie Dickson, Administration & Communications Officer
Jackie Palmer, Data Manager

Academic Partners:

AQMeN is led by a group of academic partners from across Scotland who are funded by the Network.  They are:

Prof Susan McVie, University of Edinburgh, School of Law (Director)
Prof Lindsay Paterson, University of Edinburgh, Moray House School of Education
Dr Andrew Thompson, University of Edinburgh, School of Social & Political Studies
Dr Cristina Iannelli, University of Edinburgh Moray House School of Education
Dr Anthony Glendinning, University of Aberdeen, School of Social Science
Prof Vernon Gayle, University of Stirling, Applied Social Science
Dr Mike Oram, University of St Andrews, Psychology
Dr Mark Shephard, University of Strathclyde, Government
Dr Stephen Tagg, University of Strathclyde, Marketing
Prof Robert Raeside, Napier University, Centre for Mathematics & Statistics
Prof Gwilym Pryce, University of Glasgow, Urban Studies
Dr Alistair Geddes, University of Dundee, Geography

Executive Committee:

These partners form the academic component of the Network's Executive Committee, which has responsibility for overseeing the programme of activities and events, and ensuring the Network meets the needs of the Scottish social science community. There are also a number of other individuals who sit on the AQMeN Executive Committee who represent the interests of a range of non-academic organisations or universities who are not funded by the Network. They are:

Stuart Booker, LARIA
Rob Wishart
, Scottish Government
Alison Stout
, Scottish Government
Simon Anderson
, ScotCen
Steven Hope
, Ipsos MORI
Ruchir Shah
, SCVO
Jon Godwin
, Glasgow Caledonian University
Gitit Kadar Satat
, University of Edinburgh

Advisory Group:

In addition, AQMeN has an expert Advisory Group which meets annually to review the progress of the Network's activities and to suggest ways in which it might improve or diversify. Members of the Advisory Group are:

David Bell, University of Stirling
Tony Coxon, Cardiff University
Angela Dale, University of Manchester
Patrick Sturgis, University of Southampton
Tony Glendinning, University of Aberdeen
Alison Stout, Scottish Government
Ian Diamond, University of Aberdeen

Network Members:

A recent summary of members may be viewed here.

Conditions of Membership:

Conditions of membership can be viewed here.

The AQMeN website is managed by EDINA and Data Library, University of Edinburgh.
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