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Clark-Ginsberg, A., Abolhassani, L. and Rahmati, E. (2018) “Comparing networked and linear risk assessments: From theory to evidence”, International Journal of Disaster Risk Reduction, 30, pp. 216–224.
Liao, X. et al. (2018) “Categorising virtual water transfers through China’s electric power sector”, Applied Energy, 226, pp. 252–260.
Cuaresma, J., Hlouskova, J. and Obersteiner, M. (2018) “Fundamentals, speculation or macroeconomic conditions? Modelling and forecasting Arabica coffee prices”, European Review of Agricultural Economics, 45(4), pp. 583–615.
Van Fan, Y. et al. (2018) “A review on air emissions assessment: Transportation”, Journal of Cleaner Production, 194, pp. 673–684.
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.
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.
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.