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Daniel Sage

Senior Lecturer
Department of social science
Edge Hill University
United Kingdom

Biography

Daniel is a social policy researcher with interests in UK and European welfare state research.  He is chiefly interested in public attitudes to the welfare state, subjective wellbeing and social policy, the sociology of unemployment and basic income.  His ESRC-funded PhD at the University of Stirling was a study of how active labour market programmes (ALMPs) interact with the health and wellbeing of unemployed people.   His research mostly utilises quantitative social surveys. In addition to his position at Edge Hill, Daniel is a Research Associate with the social democratic think-tank Policy Network.  In 2015 he was the co-author of the report The Social Reality of Europe After the Crisis and is currently working on a study examining the future of social policy in Europe. Prior to joining Edge Hill, Daniel was a Lecturer in Sociology and Social Policy at the University of the West of Scotland.  He completed his MSc in Applied Social Research (Stirling) in 2011.  Before this he completed an MSc in Social Policy (London School of Economics) and BA in History (University College London)

Research Interest

Public attitudes to the welfare state Subjective wellbeing and social policy Unemployment, health and wellbeing Active labour market programmes The politics of welfare reform Basic income Quantitative methods

Publications

  • Feige, J. N., Sage, D., Wahli, W., Desvergne, B., & Gelman, L. (2005). PixFRET, an ImageJ plug‐in for FRET calculation that can accommodate variations in spectral bleed‐throughs. Microscopy research and technique, 68(1), 51-58.

  • Stalder, A. F., Melchior, T., Müller, M., Sage, D., Blu, T., & Unser, M. (2010). Low-bond axisymmetric drop shape analysis for surface tension and contact angle measurements of sessile drops. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 364(1), 72-81.

  • Sage, D., Neumann, F. R., Hediger, F., Gasser, S. M., & Unser, M. (2005). Automatic tracking of individual fluorescence particles: application to the study of chromosome dynamics. IEEE Transactions on Image Processing, 14(9), 1372-1383.

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