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Teaching Staff


​Ian Scott is a quantitative economist with 10+ years of international experience in consulting and research covering economic analysis, data science and statistics, government policy, and market modelling throughout Europe, North America, and Asia. Ian recently completed a PhD in Sustainable Energy Systems at Instituto Superior Técnico (IST) as part of the MIT Portugal Program. Ian is passionate about the application of the economic and statistical sciences to real world problems. His research interests include decision making and modelling market behaviour in the energy sector, the application of blockchain technology, and the development of smart cities. He is currently developing blockchain based solutions for several smart city applications including waste management and peer-2-peer electricity trading as part of the NOVA Cidade Urban Analytics Lab.

Scientific Publications

He, R., Small, M. J., Scott, I. J., Olarinre, M., Sandoval-Reyes, M., & Ferrão, P. (2023)

A Novel Domain Knowledge-Informed Machine Learning Approach for Modeling Solid Waste Management Systems. Environmental Science & Technology, Preprints.

Schwidtal, J. M., Piccini, P., Troncia, M., Chitchyan, R., Montakhabi, M., Francis, C., Gorbatcheva, A., Capper, T., Mustafa, M. A., Andoni, M., Robu, V., Bahloul, M., Scott, I. J., Mbavarira, T., España, J. M. E., & Kiesling, L. (2023)

Emerging business models in local energy markets: a systematic review of peer-to-peer, community self-consumption, and transactive energy models. Renewable and Sustainable Energy Reviews, 179(June), 1-48. [113273].

Scott, I., Neto, M. D. C., & Pinheiro, F. L. (2023)

Bringing trust and transparency to the opaque world of waste management with blockchain: a Polkadot parathread application. Computers & Industrial Engineering, 182(August), 1-17. [109347].,

Vorobeva, D., Scott, I. J., Oliveira, T., & Neto, M. (2023)

Leveraging technology for waste sustainability: Understanding the adoption of a new waste management system. Sustainable Environment Research, (33), 1-10. [12].

Kireeva, T., Scott, I., & Almeida, F. D. (2023)

Exploring trust in emerging technologies: an integrative model. (SSRN Electronic Journal). Social Science Research Network (SSRN), Elsevier.

Capper, T., Gorbatcheva, A., Mustafa, M. A., Bahloul, M., Schwidtal, J. M., Chitchyan, R., Andoni, M., Robu, V., Montakhabi, M., Scott, I. J., Francis, C., Mbavarira, T., Espana, J. M., & Kiesling, L. (2022)

Peer-to-peer, community self-consumption, and transactive energy: A systematic literature review of local energy market models. Renewable and Sustainable Energy Reviews, 162(July), 1-24. [112403].

He, R., Sandoval-reyes, M., Scott, I., Semeano, R., Ferrão, P., Matthews, S., & Small, M. J. (2022)

Global knowledge base for municipal solid waste management: Framework development and application in waste generation prediction. Journal of Cleaner Production, 377(December), 1-11. [134501].

Sarmento, P., Motta, M., Scott, I., Pinheiro, F. L., & De Castro Neto, M. (2022)

Impact of COVID-19 lockdown measures on waste production behavior in Lisbon. Waste Management, 138(February), 189-198. [Advanced online publication on 7th  December 2021].

Vorobeva, D., Scott, I. J., Oliveira, T., & Neto, M. (2022)

Adoption of new household waste management technologies: The role of financial incentives and pro-environmental behavior. Journal of Cleaner Production, 362(August), 1-10. [132328].

Scott, I. J., Carvalho, P. M. S., Botterud, A., & Silva, C. A. (2021)

Long-term uncertainties in generation expansion planning: Implications for electricity market modelling and policy. Energy, 227(Julho), 1-12. [120371].

Diawuo, F. A.; Scott, I. J.; Baptista, P. C. & Silva, C. A. (2020)

Assessing the costs of contributing to climate change targets in sub-Saharan Africa: The case of the Ghanaian electricity system. Energy for Sustainable Development, Vol. 57, pp.32-47,. Doi:

Neves, D.; Scott, I. & Silva, C. A. (2020)

Peer-to-peer energy trading potential: An assessment for the residential sector under different technology and tariff availabilities, Energy, Vol. 205, 118023. Doi:

Scott, I. J.; Carvalho, P. M. S.; Botterud, A. & Silva, Ca. A. (2019)

Clustering representative days for power systems generation expansion planning: Capturing the effects of variable renewables and energy storage. Applied Energy, Vol. 253, 113603. Doi:

Scott, I. J.; Botterud, A.; Carvalho, PMS & Silva, CA (2019)

Renewable support policy evaluation: The importance of uncertaintyRenewable support policy evaluation: The importance of uncertainty. Conference: Applied Energy Symposium: MIT A+B, May 22-24, 2019 • Boston, USA. Link:

Scott, I. J.; Botterud, A.; Carvalho, P. M. S.; Silva, C. A. S. (2020)

Renewable energy support policy evaluation: The role of long-term uncertainty in market modelling,