Bruno Damásio

Bruno Damásio

Professor at NOVA IMS

About me

I completed my Ph.D. in Applied Mathematics at the University of Lisbon in 2019. I hold an M.Sc. in Econometrics and a B.Sc. in Economics from the University of Lisbon. My research is primarily driven toward econometrics, time-series, causal inference, and data science. I also complementarily invest in themes related to policy evaluation, scientometrics, and applied economics in general. My work has been published in several leading journals, such as Chaos, Solitons & Fractals, Journal of Cleaner Production, Telecommunications Policy, Habitat International, Applied Economics, EPJ Data Science, PLoS ONE, Physica A: Statistical Mechanics and its Applications, among others. Additionally, I have taught for over twelve years and am currently a lecturer of statistics and econometrics at NOVA IMS (Nova University of Lisbon), where I serve as Director of the Master in Statistics and Information Management, Director of the Postgraduate Program in Data Analytics, and Director of the Postgraduate Program in Health Data Science and Analytics. I am also the Head of the NOVA Applied Economics & Analytics LAB. I serve as a statistical consultant and trainer for numerous private and public organizations, including the OECD, European Commission, European Court of Auditors, and various other institutions, including Ministries, National Statistical Authorities, Regulators and Central Banks (all from eight countries).

My Research Statement

I understand my mission as advancing knowledge for the sake of science and the common good. My professional center of gravity is firmly rooted in research and innovation activities; nonetheless, I see these in connection to policy and regulatory concerns, which in turn have the potential to enrich and leverage my learning and academic efforts.

Recent Publications

  • Silva, P., Damásio, B., Fortes, P., Soares, I., & Amaral, R. (2026). Are renewable energy sources advancing towards a sustainable society? Environment, Development and Sustainability. https://doi.org/10.1007/s10668-025-07221-0
  • Sturm, N. F., Candia, C., Damásio, B., & Pinheiro, F. L. (2025). High earnings through firm influence: The role of hierarchical structures in public procurement. EPJ Data Science, 14(1). https://doi.org/10.1140/epjds/s13688-025-00543-z
  • Hess, V. L., & Damásio, B. (2025). Machine learning in banking risk management: Mapping a decade of evolution. International Journal of Information Management Data Insights, 5(1), 100324. https://doi.org/10.1016/j.jjimei.2025.100324
  • Mendonça, S., Silva, E., & Damásio, B. (2025). The knowledge base of Big Tech: Research as a source of informational leadership by the dominant US digital platforms. Telecommunications Policy, 49(7), 102908. https://doi.org/10.1016/j.telpol.2025.102908
  • Manica, L., Damásio, B., & Mendonça, S. (2025). Institutional Legacies and Governance Models: A Comparative Study of Broadband State Aid in Europe. Politics & Policy, 53(5). https://doi.org/10.1111/polp.70069
  • Cardoso, C., Costa, C. M., Damásio, B., & Mendonça, S. (2025). The “Network Society” moves in mysterious ways: 25 years in the reception of a core concept. Quantitative Science Studies, 6, 686-715. https://doi.org/10.1162/qss_a_00366
  • Vasconcelos, C., Damásio, B., & Mendonça, S. (2025). Banking on research: Who leads? Who follows? Who cares? Journal of Institutional Economics, 21. https://doi.org/10.1017/s1744137425100283
  • Paredes, A., Damásio, B., & Mendonça, S. (2025). Accounting for Oslo Manual: Reflecting on the Past and Setting the Stage for Future Research. Foresight and STI Governance, 19(1), 65-79. https://doi.org/10.17323/fstig.2025.24058
  • Tavares, R. V., & Damásio, B. (2025). Exploring the linear and non-linear effects of tourism on economic growth in the Cabo Verde Islands: Evidence from the ARDL and NARDL models. Current Issues in Tourism, 28(21), 3393-3400. https://doi.org/10.1080/13683500.2024.2401498
  • Vasconcelos, C., & Damásio, B. (2025). GenMarkov: Modeling Generalized Multivariate Markov Chains in R. The R Journal, 16(1), 96-113. https://doi.org/10.32614/RJ-2024-006
  • Camuamba, E., Damásio, B., & Mendonça, S. (2025). Assessing critical mineral occurrence in battery technologies. Resources Policy, 111, 105755. https://doi.org/10.1016/j.resourpol.2025.105755
  • Damásio, B., & Nicolau, J. (2024). Time inhomogeneous multivariate Markov chains: Detecting and testing multiple structural breaks occurring at unknown dates. Chaos, Solitons & Fractals, 180, 114478. https://doi.org/10.1016/j.chaos.2024.114478
  • Manica, L., Damásio, B., & Mendonça, S. (2024). State aid for broadband network deployment: National and subnational governance mechanisms, 2003-2023. Telecommunications Policy, 48(9), 102837. https://doi.org/10.1016/j.telpol.2024.102837
  • Metzger, P., Mendonça, S., Silva, J. A., & Damásio, B. (2023). Battery innovation and the Circular Economy: What are patents revealing? Renewable Energy. https://doi.org/10.1016/j.renene.2023.01.024
  • Vaz, E., Damásio, B., Bação, F., Shaker, R. R., & Penfound, E. (2023). Urban habitats and food insecurity: Lessons learned throughout a pandemic. Habitat International, 135, 102779. https://doi.org/10.1016/j.habitatint.2023.102779
  • Damásio, B., & Mendonça, S. (2023). Leader-follower dynamics in real historical time: A Markovian test of non-linear causality between sail and steam (co-) development. Applied Economics, 55(17), 1908-1918. https://doi.org/10.1080/00036846.2022.2100868
  • Lyra, M. S., Damásio, B., Pinheiro, F. L., & Bacao, F. (2022). Fraud, corruption, and collusion in public procurement activities, a systematic literature review on data-driven methods. Applied Network Science, 7(1), 83. https://doi.org/10.1007/s41109-022-00523-w
  • Lehmann, C., Cruz-Jesus, F., Oliveira, T., & Damásio, B. (2022). Leveraging the circular economy: Investment and innovation as drivers. Journal of Cleaner Production, 132146. https://doi.org/10.1016/j.jclepro.2022.132146
  • Mendonça, S., Damásio, B., Santiago, F., Chen, M., Santos, A. B., Cunha, M. P., & Nicita, A. (2022). Strategic Encounters in Innovation and Regulation: Healthcare transformation in the Era of Digital Connectivity. International Journal of Health Policy and Management. https://doi.org/10.34172/ijhpm.2022.6542
  • Paredes, A., Mendonça, J., Bação, F., & Damásio, B. (2022). Does R&D tax credit impact firm behaviour? Micro evidence for Portugal. Research Evaluation, 31(2), 226-235. https://doi.org/10.1093/reseval/rvac002
  • Mendonça, S., Damásio, B., de Freitas, L. C., Oliveira, L., Cichy, M., & Nicita, A. (2022). The rise of 5G technologies and systems: A quantitative analysis of knowledge production. Telecommunications Policy, 46(4), 102327. https://doi.org/10.1016/j.telpol.2022.102327
  • Curado, A., Damásio, B., Encarnação, S., Candia, C., & Pinheiro, F. L. (2021). Scaling behavior of public procurement activity. PLoS ONE, 16(12), e0260806. https://doi.org/10.1371/journal.pone.0260806
  • Lyra, M. S., Curado, A., Damásio, B., Bação, F., & Pinheiro, F. L. (2021). Characterization of the firm–firm public procurement co-bidding network from the State of Ceará (Brazil) municipalities. Applied Network Science, 6(1), 1-10. https://doi.org/10.1007/s41109-021-00418-w
  • Vaz, E., Damásio, B., Bação, F., Kotha, M., Penfound, E., & Rai, S. K. (2021). Mumbai’s business landscape: A spatial analytical approach to urbanisation. Heliyon, 7(7), e07522. https://doi.org/10.1016/j.heliyon.2021.e07522
  • Vaz, E., Cusimano, M. D., Bação, F., Damásio, B., & Penfound, E. (2021). Open data and injuries in urban areas—A spatial analytical framework of Toronto using machine learning and spatial regressions. PLoS ONE, 16(3), e0248285. https://doi.org/10.1371/journal.pone.0248285
  • Vaz, E., Bação, F., Damásio, B., Haynes, M., & Penfound, E. (2021). Machine learning for analysis of wealth in cities: A spatial-empirical examination of wealth in Toronto. Habitat International, 108, 102319. https://doi.org/10.1016/j.habitatint.2020.102319