NCRM, UKHLS and ICLS Autumn School 2016: The use of biomarkers in social science research
Limited places still available. Applications from PhD students welcome
Date: August 31- September 2, 2016
Venue: The University of Manchester, Oxford Road Campus
The National Centre for Research Methods (NCRM) will be holding its eleventh residential training in Manchester. This year the School will be run in conjunction with Understanding Society (UKHLS) and the International Centre for Lifecourse Studies in Society and Health (ICLS) and is led by Professors Meena Kumari and Tarani Chandola. There are 25 fully funded (travel, accommodation) places PhD students and researchers from across the social sciences and related disciplines.
This Autumn School is designed to cover the methodological implications of using biological data for social science research purposes. There are an increasing number of high quality longitudinal survey datasets with biomarker data collection. However, most social scientists are not trained in the use of standard sets of biomarkers that have been collected in surveys. In addition, newer biomarkers covering genomics, epigenetics and metabolomics are also increasingly available in such datasets, for which standard protocols of measurement and analysis are still being developed.
The aim of the Autumn school is to enable social scientists to become familiar with the standard and new biomarker data that are available in longitudinal surveys such as Understanding Society and the English Longitudinal Study of Ageing. By the end of the Autumn School, participants will:
- Understand some of the principles governing interactions between social exposures and biological processes.
- Be familiar with some of the standard and new forms of biomarkers in UK longitudinal surveys and be aware of the main measurement issues associated with these biomarkers.
- Create a social-biological model for a health outcome of their own choosing.
- Describe some methods for compensating for patterns of missing biomarker data in longitudinal surveys.
Who is it for?
Sessions will not assume expert knowledge, but some familiarity with the topic will be an advantage. Priority will be given to early career researchers from across the UK social science community who are employed on research-led contracts.
Please note: These are provisional session titles and presenter details may change.
Aug 31st PM
Introduction: Tarani Chandola (NCRM, Manchester) and Meena Kumari (ISER, Essex)
Session 1 Measuring and analysing social processes, biological processes and their interactions (Noriko Cable, Jessica Abell, Meena Kumari, Scott Montgomery, Mel Bartley and David Blane: ICLS, UCL https://www.ucl.ac.uk/icls)
The session will explore the methodological issues around the measurement and analysis of social exposures, biological processes and their interactions in longitudinal survey datasets. Topics covered include: the biological significance of 'standard' biomarkers that are available in many survey datasets, how they are measured and incorporated in analysis, and how such biomarkers are theoretically and conceptually linked to social processes measured in surveys.
Sept 1st AM
Session 2 Developing social-biological models (Noriko Cable, Jessica Abell, Meena Kumari, Scott Montgomery, Mel Bartley and David Blane: ICLS, UCL https://www.ucl.ac.uk/icls)
The focus of this session will be on supporting the autumn school participants to develop their own models regarding social-biological interactions and processes. The participants will work in groups, supported by input from researchers from ICLS, present their social-biological models to the class, and receive feedback.
Sept 1st PM?
Session 3: Using 'Omics Data in the social sciences (Adam Stevens, Kris Mekli, Neil Pendleton and Nicholas Rattray, fRAILL Manchesterhttp://www.micra.manchester.ac.uk/research/fraill/)
This session will focus on the "new" biomarker data that are increasingly available in longitudinal surveys, with presentations from members of the "Frailty, Resilience And Inequality in Later Life research team" (fRAILL) at Manchester. These will be introductory sessions on Genomics (Adam Stevens and Kris Mekli), Epigenetics (Neil Pendleton), and Metabolomics (Nik Rattray) with particular consideration of how such data can be incorporated in social science analyses. These introductory talks will be followed by an open discussion on the challenges of analysing 'omics data in the social sciences.
Sept 1st Evening Keynote speaker: Professor Scott Montgomery, Orebro University
Topic to be confirmed.
Sept 2nd AM
Statistical challenges of measuring longitudinal and lifecourse biomarker data (Natalie Shlomo, Joe Sakshaug, Alex Cernat, NCRM Manchesterhttp://www.ncrm.ac.uk/research/WP3/wp3.php)
This session will feature initial findings from the NCRM research project on missing biomarker data in longitudinal surveys. There will be a description of the different patterns of missing biomarker data and comparison with other types of missing data in surveys (Alex Cernat). This will be followed by an introduction to methods for compensating for missing data under different missing data mechanism assumptions (Natalie Shlomo). There will be also be a presentation of sources of auxiliary data that may be useful in processes for compensating for missing data (Joe Sakshaug). The session will feature a computer based practical sessions.
Applying for a place
Applications should be made by email to Claire Spencer (email@example.com) by Friday 15th July. Please use the following headings in your application:
- Full name
- Email address
- Current Job Title/Role, Department/School/Faculty/Institution
- Year your PhD was awarded or PhD year (if currently doing a PhD)
- Title of your PhD
- Department/School/Faculty/Institution your PhD was based in
- Was your PhD ESRC funded?
- Please provide details of your research history, including current position and research (200 word limit)
- Please explain how the Autumn School will be of value in your research in the Social Sciences (200 word limit)
Once you have sent your application to Claire Spencer, the NCRM team will consider the applications and inform applicants of the outcome by 22nd July. Any questions about the autumn school (including the application process) should be sent to Claire Spencer.
- Early Career Researchers: Radical Interdisciplinarity in the social sciences (2015)
- International and comparative research (2013)
- Structural equation modelling - principles and practice (2012)
- Methods Crossing Borders - Journeys of methodological innovation and evolution (2011)
- Five years of qualitative innovation (2010)
- Hybrid and crossover methods (2009)
- Exploring new data sources in the social sciences (2008)
- Presentations from 2007 summer school:
- Challenges of conducting collaborative research across disciplinary and methodological boundaries (2006)
- Data Generation, Complexity and Synthesis (2005)