The University of Southampton

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Phone:: (023) 8059 2051
Email:: B.Anderson@soton.ac.uk

Dr Ben Anderson

Principal Research Fellow

Related links: Personal homepage

Dr Ben Anderson is Principal Research Fellow within the Energy & Climate Change Division of the Faculty of Engineering and the Environment at the University of Southampton.

Originally from a natural sciences background, I have a BSc in Biology and Computer Science (Southampton University, UK), a PhD in Computer Studies (Loughborough University, UK) and wide-ranging experience of leading high quality research projects in the commercial and academic sectors.

I am currently developing a multi-funder portfolio of research projects with a particular focus on domestic water and energy demand. Interests include ‘big’ data-driven analysis of habitual energy and water consumption; the impacts of interventions or natural socio-technical change on patterns of demand and the linkage of 'appliance' monitoring with traditional forms of social science data in support of socio-technical innovation.

I have provided advice and consultancy to the UK Departments for Environment & Rural Affairs and Energy & Climate Change, the Scottish Government, water/energy sector corporates and NGOs on patterns of domestic energy & water use. In addition I have previously provided research consultancy to NGOs, corporate clients and governmental organisations including Ofcom, the Department of Health, the EU JRC, the UK Cabinet Office and the UK Parliament Welsh Affairs Committee on patterns and trends of ICT and media use.

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Research

Publications

Contact

Research interests

The relationship between sustainable behaviour, the structuring effects of habits and routines, consumption infrastructures and socio-technological change with a particular interest in energy, water and telecommunications demand as well as cross-cutting socio-economic and spatial variation;
Insight-driven, bottom-up socio-technical innovation and adaption for sustainable living through the transformation of socio-technical research insights into strategic thinking as well as innovative product, application and service concepts.

Research projects

Current projects include:

NERC funded IMPETUS project to develop water demand models under drought conditions;
EPSRC funded City-Wide Analysis to Propel Cities towards Resource Efficiency and Better Wellbeing project
Ofgem LCNF-funded SAVE: Solent Achieving Value from Efficiency project to asses the impact of a range of interventions on household electricity demand.
ESRC funded Administrative Data Research Centre for England (ADRC-E), lead by Professor Peter Smith of the Southampton Statistical Sciences Research Institute
ESRC/EPSRC funded 'DEMAND' End User Energy Demand Centre which is examining changing patterns in mobility and building-related energy use to take forward a wide-ranging agenda for future research and policy
EPSRC BuildTeddi project DANCER to develop and evaluate an innovative approach to in-home energy management systems including the long term monitoring of energy use practices and their response to a range of interventions;

Previous projects include:

ESRC funded ‘Census2022’ project exploring the value of smart meter data to future census like population statistics.
ESRC funded 'The distribution and dynamics of UK citizens’ environmental attitudes, behaviours and actions' project which used a unique longitudinal data to analyse the environmental attitudes, behaviours, and actions of people living in the UK.
ESRC funded Sustainable Practices Research Group with specific contribution to the ‘Patterns of Water’ Theme.
ESRC NCRM Innovation network led by the University of Sheffield focusing on 'Evaluations and improvements in small area estimation methodologies'

Research group

Energy and Climate Change

Affiliate research groups

Sustainable Energy, Administrative Data Research Centre for England

Research project(s)

SAVE: Solent Achieving Value from Efficiency

Articles

Anderson, B., Lin, S., Newing, A., Bahaj, A., & James, P. (2016). Electricity consumption and household characteristics: implications for census-taking in a smart metered future. Computers, Environment and Urban Systems, 1-10. DOI: 10.1016/j.compenvurbsys.2016.06.003

Anderson, B. (2016). Laundry, energy and time: insights from 20 years of time-use diary data in the United Kingdom. Energy Research & Social Science, 22, 125-136. DOI: 10.1016/j.erss.2016.09.004

Torriti, J., Hanna, R., Anderson, B., Yeboah, G., & Druckman, A. (2015). Peak residential electricity demand and social practices: deriving flexibility and greenhouse gas intensities from time use and locational data. Indoor and Built Environment, 1-22. DOI: 10.1177/1420326X15600776

Buchanan, K., Russo, R., & Anderson, B. (2015). The question of energy reduction: the problem(s) with feedback. Energy Policy, 77. DOI: 10.1016/j.enpol.2014.12.008

Newing, A., Anderson, B., Bahaj, A. S., & James, P. A. B. (2015). The role of digital trace data in supporting the collection of population statistics – the case for smart metered electricity consumption data. Population Space and Place, 1-13. DOI: 10.1002/psp.1972

Buchanan, K., Russo, R., & Anderson, B. (2014). Feeding back about eco-feedback: how do consumers use and respond to energy monitors? Energy Policy, 73. DOI: 10.1016/j.enpol.2014.05.008

Browne, A., Pullinger, M., Medd, W., & Anderson, B. (2014). Patterns of practice: a reflection on the development of quantitative methodologies reflecting everyday life related to water demand and consumption in the United Kingdom. International Journal of Social Research Methodology, 17(1). DOI: 10.1080/13645579.2014.854012

Browne, A., Medd, W., & Anderson, B. (2013). Developing novel approaches to tracking domestic water demand under uncertainty - A reflection on the "up scaling" of social science approaches in the United Kingdom. Water Resources Management, 27(4), 1013-1035. DOI: 10.1007/s11269-012-0117-y

Pullinger, M., Anderson, B., Browne, A., & Medd, W. (2013). New directions in understanding household water demand: a practices perspective. Journal of Water Supply: Research and Technology, 62(8). DOI: 10.2166/aqua.2013.048

Anderson, B. (2008). The social impact of broadband household internet access. Information Communication and Society, 11(1), 5-24. DOI: 10.1080/13691180701858810

Carlson, S., & Anderson, B. (2007). What are data? The many kinds of data and their implications for data re-use. Journal of Computer Mediated Communication, 12(2).

Anderson, B. (2005). The value of mixed-method longitudinal panel studies in ICT research: transitions in and out of 'ICT poverty' as a case in point. Information Communication and Society, 8(3), 343-367. DOI: 10.1080/13691180500259160

Book Chapters

Anderson, B., & Durand-Daubin, M. (2017). Changing eating practices in France and Great Britain: evidence from time use data and implications for direct energy demand. In A. Hui, G. Walker, & R. Day (Eds.), Demanding energy: spaces, temporalities and change. Palgrave.

Prudhomme, C., Shaffrey, L., Woollings, T., Jackson, C., Fowler, H., & Anderson, B. (2015). IMPETUS: improving predictions of drought for user decision-making. In J. Andreu, A. Solera, J. Paredes-Arquiola, D. Haro-Monteagudo, & H. van Lanen (Eds.), Drought: Research and Science-Policy Interfacing. (pp. 273-278). Croydon, London Borough of, GB: CRC Press. DOI: 10.1201/b18077-47

Browne, A., Medd, W., Pullinger, M., & Anderson, B. (2014). Distributed demand and the sociology of water efficiency. In K. Adeyeye (Ed.), Water Efficiency in the Built Environment: a Review of Practice and Theory. (pp. 74-87). Chichester, GB: Wiley.

Anderson, B., de Agostini, P., & Lawson, A. (2014). Estimating the small area effects of austerity measures in the UK. In G. Dekkers, M. Keegan, & C. O'Donoghue (Eds.), Current Developments in Microsimulation and Policy Design. Farnham, GB: Ashgate.

Browne, A., Medd, W., Anderson, B., & Pullinger, M. (2014). Method as intervention: intervening in practise through quantitative and mixed methodologies. In C. Maller, & Y. Strengers (Eds.), Intervening in social practices for sustainability: Beyond behaviour change. (pp. 1-21). (Routledge Studies in Sustainability). Abingdon, GB: Routledge.

Anderson, B. (2013). Estimating small area income deprivation: an iterative proportional fitting approach. In K. Edwards, & R. Tanton (Eds.), Spatial Microsimulation: A Reference Guide for Users. (pp. 49-68). (Understanding Population Trends and Processes; Vol. 6). New York, US: Springer. DOI: 10.1007/978-94-007-4623-7_4

Claxton, R., Reades, J., & Anderson, B. (2012). On the value of digital traces for commercial strategy and public policy: telecommunications data as a case study. In World Economic Forum Global Information Technology Report, 2012 - Living in a Hyperconnected World. (pp. 105-112). World Economic Forum.

Carlson, S., & Anderson, B. (2009). Naming, documenting and contributing in e-science. In N. W. Jankowski (Ed.), E-Research Transformation in Scholarly Practice. (pp. 240-257). Abingdon, GB: Routledge.

Anderson, B., de Agostini, P., Laidoudi, S., Weston, A., & Zong, P. (2009). Time and money in space: estimating household expenditure and time use at the small area level in Great Britain. In M. A. Zaidi, A. Harding, & P. Williamson (Eds.), New Frontiers in Microsimulation Modelling. (Public Policy and Social Welfare; Vol. 36). Farnham Royal, GB: Ashgate.

Anderson, B., & Stoneman, P. (2008). Predicting the socio-technical future (and other myths). In P. Warren, J. Davies, & D. Brown (Eds.), ICT Futures: Delivering Pervasive, Real-time and Secure Services. (pp. 3-16). Chichester, GB: Wiley. DOI: 10.1002/9780470758656

Conferences

Anderson, B., Manouseli, D., & Nagarajan, M. (2017). Estimating scenarios for domestic water demand under drought conditions in England and Wales. Paper presented at International Water Association (IWA) Efficient Conference 2017, Bath, United Kingdom.

Harper, M., James, P., Anderson, B., & Bahaj, A. (2017). Identifying key influences for planning acceptance of onshore wind turbines. Paper presented at 30th International Conference on Efficiency, Cost, Optimisation, Simulation and Environmental Impact of Energy Systems, San Diego, United States.

Harper, M., Anderson, B., James, P., & Bahaj, A. (2017). Identifying suitable locations for onshore wind turbines using a GIS-MCDA approach. Paper presented at 16th International Conference on Sustainable Energy Technologies, Bologna, Italy.

Anderson, B. (2016). DEMANDing Times. Paper presented at DEMAND Centre Conference 2016, United Kingdom.

Anderson, B., & Nagarajan, M. (2016). Modeling water demand in droughts (in England & Wales). In Proceedings of the International Microsimulation Association European Conference 2016. Budapest.

Anderson, B. (2016). Using time use data to trace 'energy practices' through time. Paper presented at Energy Cultures Conference 2016, New Zealand.

Anderson, B., Bahaj, A., & James, P. (2015). Developing and validating spatial microsimulation of localised temporal electricity demand response scenarios. Paper presented at 5th World Congress of the International Microsimulation Association (IMA), Luxembourg.

Anderson, B., & Lin, X. (2015). Electricity consumption and household characteristics: implications for census-taking in a smart metered future. Paper presented at Proceedings of the Royal Statistical Society International Conference 2015, United Kingdom.

Anderson, B. (2015). What can DECC's NEED data tell us about levels and change in domestic electricity consumption?. Paper presented at Proceedings of the Royal Statistical Society International Conference 2015, United Kingdom.

Newing, A., & Anderson, B. (2014). Developing insight from commercial data to support #Census2022. Paper presented at British Society for Population Studies Conference, United Kingdom.

Anderson, B. (2014). Modeling electricity demand in time and space. Paper presented at Australia New Zealand Regional Science Association International 38th Conference, New Zealand.

Durand-Daubin, M., & Anderson, B. (2014). Practice hunting: Time Use Surveys for a quantification of practices distributions and evolutions. Paper presented at BEHAVE 2014, United Kingdom.

Anderson, B. (2014). Small Area Estimation as a tool for thinking about spatial variation in energy demand. Paper presented at Spatial Variation in Energy Use, Attitudes and Behaviours: Implications for Smart Grids and Energy Demand, United Kingdom.

Anderson, B. (2014). Small Area Estimation as a tool for thinking about temporal and spatial variation in energy demand. AURIN/NATSEM Microsimulation Workshop, Australia.

Anderson, B., Torriti, J., & Hanna, R. (2014). The rhythms and components of ‘peak energy’ demand. Paper presented at BEHAVE 2014, United Kingdom.

Anderson, B. (2014). The time and timing of UK domestic energy DEMAND. 2014 Otago Energy Research Centre Symposium, New Zealand.

Anderson, B. (2013). Producing and validating small area estimates of household electricity demand. Paper presented at 4th General Conference of the International Microsimulation Association, Australia.

Anderson, B. (2013). The distribution of domestic energy-tech in Great Britain: 2008 – 2011. Paper presented at 'What makes us act green?', Research & Policy Seminar, United Kingdom.

Anderson, B. (2012). Climate, consumption and water (and troubles with data). Can Climate Change Policies Be Fair?, United Kingdom.

Anderson, B., Browne, A., & Medd, W. (2012). Practices by proxy: climate, consumption and water. Living Costs and Food Survey user meeting, United Kingdom.

Anderson, B. (2012). Smart demand: lessons from water. iHeat Smart Demand Workshop, United Kingdom.

Anderson, B., de Agostini, P., & Lawson, A. (2011). Estimating the small area effects of austerity measures in the UK. Paper presented at 3rd General Conference of the International Microsimulation Association, Sweden.

Anderson, B., & Stoneman, P. (2011). Net gains: the returns to education of home internet access. Paper presented at iCS-OII 2011 symposium "A Decade in Internet Time", United Kingdom.

Browne, A., Medd, W., & Anderson, B. (2011). Seven core issues for water demand management under climate change and uncertainty: reflection on practice and sociological approaches. Paper presented at Annual International Conference of the RGS-IBG, United Kingdom.

Reports

Gauthier, S., Aragon, V., James, P., & Anderson, B. (2016). Occupancy Patterns Scoping Review Project. Department for Business, Energy & Industrial Strategy.

Anderson, B., & Newing, A. (2015). Using energy metering data to support official statistics: a feasibility study. Fareham, GB: Office for National Statistics.

Anderson, B. (2014). SAVE SDRC 2.1: SAVE customer model framework specification. (Scottish and Southern Energy Power Distribution's Low Carbon Networks Fund SAVE project SDRC). Southampton, GB: Scottish and Southern Energy Power Distribution/University of Southampton.

Browne, A., Pullinger, M., Anderson, B., & Medd, W. (2013). Patterns of water: resource pack. Lancaster, GB: University of Lancaster.

Pullinger, M., Browne, A., Anderson, B., & Medd, W. (2013). Patterns of water: the water related practices of households in southern England, and their influence on water consumption and demand management. Lancaster, GB: University of Lancaster.

Anderson, B., & Speed, E. (2010). Social media and health: implications for primary health care providers. Colchester, GB: Centre for Research in Economic Sociology and Innovation (CRESI).

Anderson, B., & Speed, E. (2009). An evidence-based approach to digital inclusion for health. Colchester, GB: Centre for Research in Economic Sociology and Innovation (CRESI).

Working Papers

Anable, J., Anderson, B., Shove, E., & Torriti, J. (2014). Categories, concepts and units: representing energy demand in and through time. (Demand Working Paper; No. 3). Lancaster, GB: DEMAND Centre.

Browne, A., Pullinger, M., Anderson, B., & Medd, W. (2013). The performance of practice: an alternative approach to attitudinal and behavioural ‘customer segmentation’ for the UK water industry. (Discussion Paper; No. 5). Manchester, GB: University of Manchester.

Anderson, B. (2011). Estimating small area income deprivation: an iterative proportional fitting approach. Colchester, GB: Centre for Research in Economic Sociology and Innovation (CRESI).

Anderson, B. (2011). Home OnLine survey call record documentation (v2.2). Colchester, GB: Centre for Research in Economic Sociology and Innovation (CRESI).

Anderson, B. (2009). Creating small area income deprivation estimates for northern Ireland: spatial microsimulation modelling. Colchester, GB: Centre for Research in Economic Sociology and Innovation (CRESI).

Anderson, B. (2009). Welsh small area estimates of income deprivation. (CRESI Working Paper; No. 2009-04). Colchester, GB: Centre for Research in Economic Sociology and Innovation (CRESI).

Dr Ben Anderson
Engineering and the Environment University of Southampton Highfield Southampton SO17 1BJ

Room Number:7/5010

Telephone:(023) 8059 2051
Email:B.Anderson@soton.ac.uk

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