How to map issues? Mixing methods for the study of topical affairs.
Date:
14/09/2016 - 15/09/2016
Organised by:
University of Warwick - ESRC DTC and Centre for Interdisciplinary Methodologies
Presenter:
Dr Noortje Marres (Centre for Interdisciplinary Methodologies, University of Warwick)
Level:
Intermediate (some prior knowledge)
Contact:
Judith McAllister - ESRC DTC Training Coordinator - ESRCdtc@warwick.ac.uk
Description:
This two-day workshop is designed to showcase, discuss and test a range of experimental methods and methodologies for analysing current affairs, public controversies and related topical formations.
While significant attention in issue mapping research has focused on digital methods in recent years, this workshop aims to introduce a wider range of interdisciplinary approaches to issue analysis, including field research, documentary analysis, and design methods.
Refreshment and lunches will be provided. A limited number of travel and accommodation bursaries are available for UK based PhD students.
Kristin Asdal (University of Oslo) Document analysis
Andrew Barry (University College London) Fieldwork
Nerea Calvillo (University of Warwick) Inventive methods
Mathieu Jacomy (Sciences Po Paris) Adjustable digital methods
Anders Munk (UAA, Copenhagen) Social media analysis
Sophie Mutzel (University of Lucerne) Topic modelling
Cost:
Free with a limited number of travel bursaries available to UK based PhD students.
Website and registration:
Region:
West Midlands
Keywords:
Frameworks for Research and Research Designs, Experimental Research , Case Study, Interdisciplinary and Multidisciplinary Research, Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Event History Analysis, Data Mining, Mixed Methods Data Handling and Data Analysis, ICT and Software, Research Skills, Communication and Dissemination
Related publications and presentations:
Frameworks for Research and Research Designs
Experimental Research
Case Study
Interdisciplinary and Multidisciplinary Research
Data Collection
Data Quality and Data Management
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
Event History Analysis
Data Mining
Mixed Methods Data Handling and Data Analysis
ICT and Software
Research Skills, Communication and Dissemination