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Teaching Staff

Biography

Bruno Damásio holds a Ph.D. in Applied Mathematics (2019), a Master’s in Econometrics, and a Bachelor’s in Economics from the University of Lisbon. His research focuses on econometrics, time series, causal inference and data science, with additional work in policy evaluation, scientometrics and applied economics. He has published in leading journals such as Resources Policy, Telecommunications Policy, Research Evaluation, Quantitative Science Studies, The R Journal, Habitat International and EPJ Data Science. With ten years of teaching experience, he is currently a lecturer in statistics and econometrics at NOVA IMS. He also works as a statistical consultant and trainer for organizations such as the OECD, the European Commission, the European Court of Auditors and several ministries, national statistical offices, regulators and central banks across eight countries.

Scientific Publications

Camuamba, E., Damásio, B., & Mendonça, S. (2025)

Assessing critical mineral occurrence in battery technologies. Resources Policy, 111, Article 105755. https://doi.org/10.1016/j.resourpol.2025.105755

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

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), 1-17. Article 100324. https://doi.org/10.1016/j.jjimei.2025.100324

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), Article e70069. https://doi.org/10.1111/polp.70069

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), Article 102908. https://doi.org/10.1016/j.telpol.2025.102908

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

Paredes, A., Vasconcelos, C., & Damásio, B. (2025)

Examining the Impact of R&D Tax Credits on Employment Growth Across Economic Sectors. Emerging Science Journal, 9(2), 677-699. https://doi.org/10.28991/ESJ-2025-09-02-010

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, 1-20. Article 27. https://doi.org/10.1140/epjds/s13688-025-00543-z

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., & Mendonça, S. (2025)

Banking on research: Who leads? Who follows? Who cares? Journal of Institutional Economics, 21, Article e42. https://doi.org/10.1017/S1744137425100283

Damásio, B., Silva, E., & Mendonça, S. (2025)

Patents and the business strategies of digital platforms: A comparative analysis of the patent portfolios of large digital platforms. Paper presented at 33rd  European Regional Conference of the International Telecommunications Society (ITS) 2025, Edinburgh, Scotland, United Kingdom. https://hdl.handle.net/10419/331264

Hlacs, A., Wells, H., Damásio, B., Vasconcelos, C., Sturm, N. F., Gonçalves, A., & Batista, P. (2025)

Using digital technology to strengthen oversight of public procurement in Portugal: The use of data analytics and machine learning by the Tribunal de Contas. (pp. 1-33). (OECD Working Papers on Public Governance; No. 83). OECD Publishing. https://doi.org/10.1787/43add03b-en

Damásio, B., & Nicolau, J. (2024)

Time inhomogeneous multivariate Markov chains: Detecting and testing multiple structural breaks occurring at unknown dates. Chaos, Solitons & Fractals, 180, 1-15. Article 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), 1-16. Article 102837. https://doi.org/10.1016/j.telpol.2024.102837

Nigam, R., Luis, A. J., Gagnon, A. S., Vaz, E., Damásio, B., & Kotha, M. (2024)

Assessing coastal vulnerability at the village level using a robust framework, the example of Canacona in South Goa, India. ISCIENCE, Article 109129. https://doi.org/10.1016/j.isci.2024.109129

Vasconcelos, C., & Damásio, B. (2024)

GenMarkov: Modeling Generalized Multivariate Markov Chains in R. The R Journal, 16(1), 96-113. https://doi.org/10.32614/RJ-2024-006

Vaz, E., Damásio, B., & Cusimano, M. (2024)

Faith, policy, and suicide: A Machine learning and spatial analysis approach of religious affiliation and suicide rates in Toronto. Habitat International, 150, 1-8. Article 103119. https://doi.org/10.1016/j.habitatint.2024.103119

Vasconcelos, C., Damásio, B., Baltazar, L. G., & Pinheiro, F. L. (2024)

The data landscape in Portugal and opportunities for enhancing the TdC's audits of public procurement. In Strengthening Oversight of the Court of Auditors for Effective Public Procurement in Portugal: Digital Transformation and Data-driven Risk Assessments (pp. 76-89). (OECD Public Governance Reviews). OECD Publishing. https://doi.org/10.1787/35aeab1e-en

Paredes, A., & Damásio, B. (2024)

Micro-Level Insights into the Impact of R&D Tax Credits on Firm Behavior in the Portuguese Services Industry. In V. Bevanda (Ed.), Ninth International Scientific-Business Conference LIMEN 2023 Conference Proceedings (pp. 201-207). (International Scientific-Business Conference LIMEN Leadership, innovation, management and economics: Integrated politics of research). Association of Economists and Managers of the Balkans — UdEkoM Balkan. https://doi.org/10.31410/LIMEN.2023.201

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

Metzger, P., Mendonça, S., Silva, J. A., & Damásio, B. (2023)

Battery innovation and the Circular Economy: What are patents revealing? Renewable Energy, 209(June), 516-532. https://doi.org/10.1016/j.renene.2023.03.132

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, 1-11. [102779]. https://doi.org/10.1016/j.habitatint.2023.102779

Damásio, B., Mendonça, S., & Silva, E. M. E. (2023)

Developing science and technology: the role of Big Tech. In 32nd  European Regional Conference of the International Telecommunications Society (ITS): "Realising the digital decade in the European Union – Easier said than done?", Madrid, Spain, 19th  - 20th  June 2023 (pp. 1-42). International Telecommunications Society (ITS). https://www.econstor.eu/handle/10419/277951

Lehmann, C., Cruz-jesus, F., Oliveira, T., & Damásio, B. (2022)

Leveraging the circular economy: Investment and innovation as drivers. Journal of Cleaner Production, 360, 1-10. [132146]. https://doi.org/10.1016/j.jclepro.2022.132146

Mendonça, S., Damásio, B., Freitas, L. C. D., Oliveira, L., Cichy, M., & Nicita, A. (2022)

The rise of 5G technologies and systems: A quantitative analysis of knowledge production. Telecommunications Policy, 46(4), 1-28. [102327]. https://doi.org/10.1016/j.telpol.2022.102327

Mendonça, S., Damásio, B., Santiago, F., Chen, M., Santos, A. B., Cunha, M. P. E., & Nicita, A. (2022)

Strategic Encounters in Innovation and Regulation: Healthcare Transformation in the Era of Digital Connectivity: Comment on "What Managers Find Important for Implementation of Innovations in the Healthcare Sector – Practice Through Six Management Perspectives". International Journal of Health Policy and Management, 11(12), 3114-3117. https://doi.org/10.34172/ijhpm.2022.7271

Nigam, R., Tripathi, G., Priya, T., Luis, A. J., Vaz, E., Kumar, S., Shakya, A., Damásio, B., Kotha, M., & Yu, B. (Ed.) (2022)

Did Covid-19 lockdown positively affect the urban environment and UN- Sustainable Development Goals? PLoS ONE, 17(9), 1-21. [e0274621]. https://doi.org/10.1371/journal.pone.0274621

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. [rvac002]. https://doi.org/10.1093/reseval/rvac002

Curado, A., Damásio, B., Encarnação, S., Candia, C., & Pinheiro, F. L. (2021)

Scaling behavior of public procurement activity. PLoS ONE, 16(12), 1-19. [e0260806]. https://doi.org/10.1371/journal.pone.0260806

Lyra, M. D. 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, 1-10. [77]. https://doi.org/10.1007/s41109-021-00418-y

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, 1-9. [102319]. https://doi.org/10.1016/j.habitatint.2021.102319

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(March), 1-17. [e0248285]. https://doi.org/10.1371/journal.pone.0248285

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

Damásio, B., & Mendonça, S. (2019)

Modelling insurgent-incumbent dynamics: Vector autoregressions, multivariate Markov chains, and the nature of technological competition. Applied Economics Letters, 26(10), 843-849. [Advanced online publication 30 july 2018]. https://doi.org/10.1080/13504851.2018.1502863. DOI: 10.1080/13504851.2018.1502863

Martins, D., & Damásio, B. (2019)

One Troika fits all?: job crash, pro-market structural reform and austerity-driven therapy in Portugal. Empirica. [Advanced online publication on 11 february 2019]. Doi: https://doi.org/10.1007/s10663-019-09433-w

Damásio, B.; Louçã, F. & Nicolau, J. (2018)

The changing economic regimes and expected time to recover of the peripheral countries under the euro: A nonparametric approach. Physica A: Statistical Mechanics and its Applications, 507, 524-533. doi: https://doi.org/10.1016/j.physa.2018.05.089

Barros, C., Damásio, B. and Faria, J. (2014)

Reverse FDI in Europe: An Analysis of Angola's FDI in Portugal. African Development Review, 26 (1), 160-171. https://doi.org/10.1111/1467-8268.12072

Damásio, B. and Nicolau, J. (2014)

Combining a Regression Model with a Multivariate Markov Chain in a Forecasting Problem.Statistics & Probability Letters, 90 (july), 108-113. https://doi.org/10.1016/j.spl.2014.03.026