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Wildemeersch, M. et al. (2018) “Characterization and control of conservative and non-conservative network dynamics”, IFAC Journal of Systems and Control, 5, pp. 22–29.
Crick, F., Jenkins, K. and Surminski, S. (2018) “Strengthening insurance partnerships in the face of climate change – Insights from an agent-based model of flood insurance in the UK”, The Science of The Total Environment, 636, pp. 192–204.
Isupova, O., Kuzin, D. and Mihaylova, L. (2018) “Learning Methods for Dynamic Topic Modeling in Automated Behavior Analysis”, IEEE Transactions on Neural Networks and Learning Systems, 29(9), pp. 3980–3993.
Neves, A. and Brand, C. (2018) “Assessing the potential for carbon emissions savings from replacing short car trips with walking and cycling using a mixed GPS-travel diary approach”, Transportation Research Part A: Policy and Practice, 123, pp. 130–146.
Rutt, R. et al. (2018) “FLEGT: Another ‘forestry fad’?”, Environmental Science and Policy, 89, pp. 266–272.
Higginson, S. et al. (2018) “Achieving data synergy: the socio-technical process of handling data”, in Foulds, C. and Robison, R. (eds.) Advancing Energy Policy: Lessons on the Integration of Social Sciences and Humanities. Palgrave Pivot, pp. 63–81.
Hill, L. et al. (2018) “Maintaining ecosystem properties after loss of ash in Great Britain”, Journal of Applied Ecology, 56(2), pp. 282–293.
Mundaca, L., Ürge-Vorsatz, D. and Wilson, C. (2018) “Demand-side approaches for limiting global warming to 1.5 °C”, Energy Efficiency, 12(2), pp. 343–362.
Pye, S. et al. (2018) “Assessing qualitative and quantitative dimensions of uncertainty in energy modelling for policy support in the United Kingdom”, Energy Research and Social Science, 46, pp. 332–344.
Paltan Lopez, H. et al. (2018) “Global implications of 1.5 °C and 2 °C warmer worlds on extreme river flows”, Environmental Research Letters, 13(9).