Supervisions


PhD

Ongoing

  1. Luis Manica, State aid in very high-capacity networks - Understanding the policy drivers in France, Portugal, Spain and United Kingdom. Ph.D. in Public Policy , ISCTE
  2. Eduardo Magalhães e Silva, A scientometric approach to digital platforms: Knowledge sources, processes and impacts of “Big Tech” Ph.D. in Information Management. Specialization Field: Data Science, NOVA IMS
  3. Carolina Vasconcelos, What do large financial institutions know and how does it matter? A big‑data computational approach to the scientometric study of leading global policy players. Ph.D. in Information Management. Specialization Field: Data Science, NOVA IMS
  4. Luís Baltazar, Data science for regulatory impact assessment. Ph.D. in Information Management. Specialization Field: Data Science, NOVA IMS
  5. Lígia Ernesto, Health innovation enablers: Data‑driven paths and effectiveness.Ph.D. in Management. Specialization Field: Strategy and Entrepreneurship, ISCTE
  6. Renato Lains Mota, Data‑driven healthcare business models: Understanding the determinants of success and sustainability. Ph.D. in Information Management. Specialization Field: Data Science, NOVA IMS
  7. Alexandre Paredes, The impacts of R&D expenditure on innovation and scientific employment. Ph.D. in Information Management. Specialization Fields: Information Systems, NOVA IMS


MSc

Concluded

  1. Rodolfo Tavares, Exploring The Linear And Non-linear Effect Of Tourism On Economic Growth In Cabo Verde: Evidence From ARDL And NARDL Models. M.Sc. in Statistics and Information Management, NOVA IMS, 2024
  2. Mariana Santos, Cryptocurrency Rollercoaster: Volatility Patterns and Market Dynamics in Positive and Negative Events. M.Sc. in Statistics and Information Management, NOVA IMS, 2024
  3. Diogo Bulhosa Pinto, Communities susceptibility to collusion in the Portuguese Procurement System: An analysis of communities generated in a co-bidding firm-to-firm network M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2024
  4. Valentin Lennart Heß, Machine Learning in Banking Risk Management: Mapping a Decade of Evolution. M.Sc. in Information Management, NOVA IMS, 2024
  5. Muhammad Abdullah, Predictive Modelling for Cross-selling in the Insurance Industry: A marketing perspective Machine Learning and Marketing. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2024
  6. Helena Morais, Eco-Innovation indicators and Circular Economy performance: a cross-country empirical analysis based on European scoreboards.M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2024
  7. Carolona Machado, Public Procurement during COVID-19. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2024
  8. João Duarte, Economic Dynamics: Analyzing Structural Breaks and Covid-19 Responses Worldwide. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2024
  9. Diogo Gonçalves, The impact of Video Assistant Referee in the performance of Football Referees in the Portuguese League. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2024
  10. Mateus Pinheiro, Newcomb-Benford Law in public procurement contracts. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2024
  11. Eva Ferrer, The Evolutionary Dynamics of Battery Technology: A Knowledge-Based Assessment from Article Publications. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2024
  12. José Dias, Estágio - Modelo de Estimativa de Potencial de jogadores de Futebol. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2024
  13. Raquel Pinho, Green Hydrogen Breakout: The scientific community contribution. M.Sc. in Statistics and Information Management, NOVA IMS, 2024
  14. Beatriz Farinha, The effects of Golden Visas on housing market prices: applying a Synthetic control model to the portuguese market. M.Sc. in Statistics and Information Management, NOVA IMS, 2024
  15. Jonas Mendonza, Gatekeeping Energy Economics studies: a dynamic "editormetrics" perspective. M.Sc. in Statistics and Information Management, NOVA IMS, 2024
  16. Gonçalo Silva, Mapping a Co-competition Network of the Portuguese Public Procurement Market. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2024
  17. Marta Sacavém, The Intellectual Evolution of Wireless Generations: A long-run perspective on technological innovation. M.Sc. in Statistics and Information Management, NOVA IMS, 2024
  18. Helena Oliveira, Decoding the Secrets of Environmental Journals: Unraveling Journal Rankings through Text Mining and Predictive Analysis M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2023
  19. Tomás Ricardo, Estimating Value at Risk Assuming Pareto Tails: a Semiparametric Approach M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2023
  20. Isabella Rubio , Tests of Predictability in Cryptocurrency Markets M.Sc. in in Statistics and Information Management, NOVA IMS, 2023.
  21. Rogerio Paulo, The application of hedonic price models in the estimation of effective and imputed rents of housing: A case study on the 2021 housing census data in Portugal. M.Sc. in Data Science and Advanced Analytics, NOVA IMS
  22. Leonor Porto, Decoding Success with Zero-Inflated and Hurdle Models: Unveiling the Winning Strategies in Portuguese Public Procurement Activity M.Sc. in Data Science and Advanced Analytics, NOVA IMS
  23. Pedro Castro, Beyond Econometrics: Using Google Trends and Social Media Data to Forecast Unemployment - OECD analysis of accuracy gains and robustness of predictions. M.Sc. in Data Science and Anvanced Analytics, NOVA IMS, 2023.
  24. Arthur Campos, Multi-country Analysis of Unemployment Rate Nowcasting During Covid-19 With Search Query Data. M.Sc. in Statistics and Information Management, NOVA IMS, 2023.
  25. Nuno Galhofo, Money Laundering - A quantitative analysis of knowledge production and its economics and social influence. M.Sc. in Statistics and Information Management, NOVA IMS, 2023.
  26. Andreia Taboleiros, Public Procurement As A Policy Tool For Growth. M.Sc. in Statistics and Information Management, NOVA IMS, 2023.
  27. Diogo Miguel, Accessing the impact of covid-19 on the portuguese unemployment rate. M.Sc. in Statistics and Information Management, NOVA IMS, 2023.
  28. Leonor Morgado, Predicting Individual Guarantee based on Energy Consumption. M.Sc. in Data Science and Anvanced Analytics, NOVA IMS, 2023.
  29. Miguel Panzo, Análise de Assimetrias na Região do Alentejo e do Algarve. M.Sc. in Statistics and Information Management, NOVA IMS, 2023.
  30. Lara Faria, The Macroeconomic Impact of Jair Bolsonaro: A Synthetic Control Approach. M.Sc. in Statistics and Information Management, NOVA IMS, 2023.
  31. Virgínia Gomes, Desenvolvimento da Evalyze, uma plataforma web de gestão de operações a fim de automatizar e otimizar a distribuição, priorização e monitorização de tarefas.M.Sc. in Statistics and Information Management, NOVA IMS, 2023.
  32. Guilherme Silvestre , Revenue Assurance: Unicre. M.Sc. in Statistics and Information Management, NOVA IMS, 2023.
  33. Andrea Cruz, Battery research: What, who, when, how much? M.Sc. in Statistics and Information Management, NOVA IMS, 2023.
  34. Andrea Sánchez Licer, Scientific capabilities of a high‑tech industry: The case of the Spanish pharmaceutical sector. M.Sc. information Management, NOVA IMS, 2023.
  35. Ana Luisa Mestre, A Scientometric Analysis to Study the Trends on Nuclear Weapons-Related Research. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2023.
  36. Francisco Bettencourt, Forecasting indexes volatilities by using machine learning techniques, econometric and randomized models. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2023.
  37. Gonçalo Silvestre, Predictive Modelling Using Machine Learning on Dealerships Profit Margin Concerning the Increase in Electric Vehicles Repairs. M.Sc. in Information Management, NOVA IMS, 2023.
  38. Gisela Fonseca, The effect of public procurment by category on innovation output. M.Sc. in Statistics and Information Management, NOVA IMS, 2023.
  39. Bruno Esteves Borges, Understanding quarterly GDP forecasts performance’s: A regional disposition. M.Sc. in Statistics and Information Management, NOVA IMS, 2023.
  40. Emil Ahmadov, Big tech and social networks: The intermediation power of Facebook, Google, Netflix, and other digital giant platforms. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2023.
  41. Oguz Kokes, Investigating the delay times in academic publishing. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2023.
  42. Tomás Salema, Future sales forecasting model in a retail business context: Identifying the most relevant determinants in the retail business demand M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2023.
  43. Diogo Acabado, Integração De Dados No Contexto Do Sector De Energia Solar Fotovoltaico - Um Caso De Estudo EDP M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2023.
  44. Eduardo Barreto Sulz , Different Approaches of Machine Learning Models in Credit Risk M.Sc. in Statistics and Information Management, NOVA IMS, 2023.
  45. Sara Nunes, Predicting Length of Stay in a Hospital Post-Surgery  M.Sc. in Information Management, NOVA IMS, 2023.
  46. Phillip Metzger, Battery patents: A quantitative analysis of innovation in battery technology and an assessment of its predictive capabilities. M.Sc. in Economics and Management of Science Technology and Innovation, NOVA IMS, 2022.
  47. Ana Rita Carmo, Industrial Espionage: Mapping Meanings and Assessing Trends. M.Sc. in Economics and Management of Science, Technology and Innovation, ISEG, 2022.
  48. Joana Rita Lopes, The impact of journal editors in academic publications: A stochastic frontier analysis. M.Sc. information Management, NOVA IMS, 2022.
  49. João Pedro Monteiro, Performance and actual pay in the top 5 European football leagues: The use of market value as a proxy variable for football players’ wages. M.Sc. in Statistics and Information Management, NOVA IMS, 2022.
  50. Lars Frobel, Patents in the energy sector: A study on the innovation strength of European largest energy suppliers, based on patents. M.Sc. information Management, NOVA IMS, 2022.
  51. Olimpio Zavale, Logistic regression approach for malaria vector control program impact assessment in Mozambique. M.Sc. in Statistics and Information Management, NOVA IMS, 2022.
  52. Beatriz Duarte Pereira, The Impact of COVID-19 on AIRBNB Prices M.Sc. in Statistics and Information Management, NOVA IMS, 2022.
  53. Filipa Castilho, Trends in the scientific production on intangible cultural heritage, a bibliometric analysis. M.Sc. in Statistics and Information Management, NOVA IMS, 2022.
  54. Pedro Pereira, Inside 5G: A natural language processing approach to a revolutionary technology. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2022.
  55. Bruno Ruivo, The impacts of covid‑19 on stock market’s volatility spillovers. M.Sc. in Statistics and Information Management, NOVA IMS, 2022.
  56. Mário Fidalgo, The Impact of South‑South Remittances on Household Asset Accumulation in Haiti: Evidence from New Remittance Corridors in the Global South. M.Sc. in Statistics and Information Management, NOVA IMS, 2022.
  57. Steffen Hillmann, Electricity price forecast on the German day‑ahead market. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2022.
  58. Miguel Ferreira, The impact of performance measures in football players’ transfer market value. M.Sc. in Statistics and Information Management, NOVA IMS, 2022.
  59. Beatriz Duarte, The impact of covid‑19 on airbnb prices. M.Sc. in Statistics and Information Management, NOVA IMS, 2022.
  60. Mariana Barros, The impact on operational risk: an analysis on macroeconomic, governance and firm‑level determinants. M.Sc. information Management, NOVA IMS, 2022.
  61. Gonçalo Pereira dos Santos , The econometrics of knowledge Central Banks as power-houses of scientific breakthroughs. M.Sc. information Management, NOVA IMS, 2024
  62. Miguel Ramos, The impact of wage dispersion in football teams performance. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2022.
  63. Pedro Carvalho, Covid crash: a study of volatility spillovers from stocks to US indexes and from us indexes to cryptocurrencies. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2022.
  64. Gustavo Fabrício, Does sacking a coach really help? Evidence from a Difference‑in‑Differences approach. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2022.
  65. Gabriel Ravi, Break on through (to the other side) of political connections: An exploratory empirical analysis of portuguese companies. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2022.
  66. Maria Machado, The editor conundrum: Using editormetrics to map and measure the networks of brokerage of telecommunications journals. M.Sc. in Statistics and Information Management, NOVA IMS, 2022.
  67. Bruna Ribeiro, A taxonomy of the non‑financial firms based on framework regulation costs: Evidence from Portugal. M.Sc. in Statistics and Information Management, NOVA IMS, 2022.
  68. Catarina Cardoso, The scientometric evolution of the ”Network Society”: Mapping and tracing the influence of a concept. M.Sc. in Statistics and Information Management, NOVA IMS, 2022.
  69. Pedro Mota, Assessing covid‑19 impact on user opinion towards videogames: Sentiment analysis and structural break detection on steam data. M.Sc. information Management, NOVA IMS, 2022.
  70. Catarina Ferreira, The impact of political cycles’ changes on local public procurement: evidence from Portuguese municipalities. M.Sc. in Statistics and Information Management, NOVA IMS, 2022.
  71. Teresa Trindade, Bunching below thresholds: Evidence from Portugal. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2022.
  72. Alsenvitor Nascimento, Application of machine learning to predict quality of portuguese wine based on sensory preferences. M.Sc. information Management, NOVA IMS, 2022.
  73. Joana Sousa, An exploratory study on the economic impacts of wildfires in Portugal. M.Sc. in Statistics and Information Management, NOVA IMS, 2022.
  74. Carolina Vasconcelos, Generalized multivariate Markov chains: Estimation, inference and implementation in R. M.Sc. in Applied Econometrics and Forecasting, ISEG, 2021.
  75. Bruno Rodrigues, Effects of terrorism on tourism demand: Local projections approach. M.Sc. in Statistics and Information Management, NOVA IMS, 2021.
  76. Sara Maciel, Aplicação da teoria das cadeias de Markov ao estudo bibliométrico: O caso da produção científica dos bancos centrais. M.Sc. in Statistics and Information Management, NOVA IMS, 2021.
  77. Helena Vilela, Crisis and toxic consumption in oecd countries: Local projections and the health‑banking interdependencies. M.Sc. in Statistics and Information Management, NOVA IMS, 2021.
  78. Filipe Silva, Does performance exclusively determine the value from shirt sponsorship in football? M.Sc. in Statistics and Information Management, NOVA IMS, 2021.
  79. Helena Alves, GDPR In Portugal: Analysis on citizens’ perception about privacy. M.Sc. information Management, NOVA IMS, 2021.
  80. Berk Munger, General additive model implementation for Germany real estate market. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2021.
  81. Carlota Oliveira, The resilience of higher education enrollment to banking crises. M.Sc. in Mathematical Finance, ISEG, 2020.
  82. Inês Rodrigues, Financial crises meet society: Economic turmoil and societal stress through a local projection approach. M.Sc. in Mathematical Finance, ISEG, 2020.
  83. António Curado, Scaling behavior of public procurement activity. M.Sc. in Data Science and Advanced Analytics, NOVA IMS, 2020.
  84. João Paulo Raposo, Use of pembrolizumab and nivolumab in non‑small cell lung cancer: A cost‑effectiveness study. M.Sc. information Management, NOVA IMS, 2020.
  85. Rodrigo Ataíde, Gestão de informação num contexto de transformação do negócio. M.Sc. information Management, NOVA IMS, 2020.
  86. Carlotta Lehmann, Driving the transition to a circular economy: Evidence from the European Union. M.Sc. information Management, NOVA IMS, 2020.
  87. Filipa Almeida, Loan modifications and risk of default: A Markov chains approach. M.Sc. in Statistics and Information Management, NOVA IMS, 2020.
  88. Pauline Rosado, O crescimento económico e as emissões de CO2. M.Sc. in Quantitative Methods for Decision‑making in Economics and Business, ISEG, 2019.
  89. Diogo Martins, Do labour market reforms pay off? Unemployment and capital accumulation in Portugal. M.Sc. in Monetary and Financial Economics, ISEG, 2016.