Innovación docente y Analytics

Arroyo Barrigüete, J. L., Carabias López, S., Hernández Estrada, A., & Segura Maroto, M. (2023). Efecto de la especialidad en bachillerato en el rendimiento matemático en la universidad: un estudio comparativo en grados de Administración de Empresas. Revista de Educación 402, 115-140 

Arroyo-Barriguete, J. L., Bada, C., Lazcano, L., Márquez, J., Ortiz-Lozano, J. M., & Rua-Vieites, A. (2023). Is it possible to redress noninstructional biases in student evaluation of teaching surveys? Quantitative analysis in accounting and finance courses. Studies in Educational Evaluation 77, 101263 

Arroyo-Barrigüete, J. L., Carabias-López, S., Borrás-Pala, F., & Martín-Antón, G. (2023). Gender Differences in Mathematics Achievement: The Case of a Business School in Spain. SAGE Open 13(2), 21582440231166922 

Arroyo-Barrigüete, J. L., Carábias-López, S., Curto-González, T., & Hernández, A. (2021). Portability of Predictive Academic Performance Models: An Empirical Sensitivity Analysis. Mathematics 9(8), 870 

Arroyo-Barrigüete, J. L., López-Sánchez, J. I., Morales-Contreras, M. F., & Soffritti, M. (2024). The impact of English-medium instruction on university student performance. Journal of Multilingual and Multicultural Development 45(6), 2315–2330 https://doi.org/10.1080/01434632.2022.2047193

Arroyo-Barrigüete, J. L., Obregón, A., Ortiz-Lozano, J. M. & Rua Vieites, A. (2022). Spain is not different: teaching quantitative courses can also be hazardous to one's career (at least in undergraduate courses). PeerJ  10.7717/peerj.13456

Cañadas-Romero, M. A., Rúa-Vieites, A., Fernández-García, M., & Iglesias-Martínez, J. . (2024). Analysis of the Relational Integration Process of Migrants in Spain: The Ethnic Factor. International and Multidisciplinary Journal of Social Sciences RIMCIS 13(1), 19–38. https://doi.org/10.17583/rimcis.11718

Colino, A. A., Arroyo-Barrigüete, J. L., Hernández, A., & Ávila, C. S. (2025). Gender and Academic Indicators in First-Year Engineering Dropout: A Multi-Model Approach.. IEEE Access, 13, p. 155532-155546 https://doi.org/10.1109/ACCESS.2025.3605776

Domínguez-Soto, C., Labajo, V., & Labrador-Fernández, J. (2021). The relationship between impostor phenomenon and transformational leadership among students in STEM. Current Psychology 1-12 

Márquez, J., Lazcano, L., Bada, C., & Arroyo-Barrigüete, J. L. (2023). Class participation and feedback as enablers of student academic performance. SAGE Open 13(2), 21582440231177298 

Ortiz-Lozano, J. M., Aparicio-Chueca, P., Triadó-Ivern, X. M., & Arroyo-Barrigüete, J. L. (2023). Early dropout predictors in social sciences and management degree students. Studies in Higher Education, 49(8), 1303-1316. https://doi.org/10.1080/03075079.2023.2264343

Sánchez, G., Martín, M. J. & Rua Vieites, A. (2021). Competitive debate: a successful gamification experience at the human resources subject. Frontiers in Psychology, 12, 708677.

Álvarez-Romero, C.; Polo-Molina, A.; Sánchez-Úbeda, E.F.; Jiménez-de-Juan, C.; Cuadri-Benitez, M.P.; Rivas-González, J.A.; Portela, J.; Palacios, R.; Rodríguez-Morcillo, C.; Muñoz, A.; Parra-Calderón, C.L.; Nieto-Martin, M.D.; Ollero-Baturone, M.; Hernández-Quiles, C. (2024). Machine learning–based prediction of changes in the clinical condition of patients with complex chronic diseases: 2-phase pilot prospective single-center observational study. JMIR Formative Research Vol. 8, nº 1, pp. e52344-1 – e52344-13 https://doi.org/10.2196/52344

Arroyo Revilla, O., Medina-Molina, C., Bellón Núñez-Mera, C., & Pérez-Macías Martín, N. (2025). To invest or not to invest: the business angel's dilemma. Journal of Innovation and Knowledge 10(3), 100669 https://doi.org/10.1016/j.jik.2025.100699

Arroyo-Barrigüete, J. L. (2021). El estilo narrativo en HP Lovecraft: un análisis cuantitativo de The Call of Cthulhu y otras obras icónicas. Cultura, Lenguaje y Representación 25, 47-63 

Arroyo-Barrigüete, J. L. (2021). La transformación de la ciencia ficción: un análisis cuantitativo del patrón emocional en los premios Hugo. Artnodes 28 

Arroyo-Barrigüete, J. L. (2023). Sentiment analysis of Lovecraft's fiction writings. Heliyon 9(1) 

Arroyo‐Barrigüete, J. L. (2023). The “Cthulhu network”: The process by which the popular myth was made. The Journal of Popular Culture 56(2), 324-340 

Arroyo-Barrigüete, J. L., & Ramos, E. (2023). All things in their proper time and place: A causal analysis of A Confederacy of Dunces. Evolutionary Studies in Imaginative Culture 14-32 

Arroyo-Barrigüete, J. L., Barcos Redín, L., Bellón Núñez-Mera, C. y Corzo Santamaría, T. (2022). One year of European premiers leadership and empathy in times of global pandemic: a Twitter sentiment analysis. Cogent Social Sciences 8(1), 2115693 

Arroyo-Barrigüete, J. L., Bellón Núñez-Mera, C., Labrador Fernández, J., & De Nicolas, V. L. (2023). Dunning–Kruger effect and flat-earthers: An exploratory analysis. Public Understanding of Science 09636625231166255 

Arroyo-Barrigüete, J. L., Carabias López, S., Obregón, A., González-Arechavala, Y., & Canales-Cano, S. (2025). Gender differences in mathematics achievement among engineering students: Does the way performance is measured matter?. International Journal of Engineering Pedagogy  Vol. 15 

Arroyo-Barrigüete, J. L., Escudero-Guirado, C., & Minguela-Rata, B. (2023). Factors influencing the social perception of entrepreneurs in Spain: A quantitative analysis from secondary data. Plos one 18(12), e0296095 

Arroyo-Barrigüete, J. L., López Sánchez, I.,  Guillén López, A. J. (2024). Does the Image that the Population Has of Robots Influence the Perception of the Impact of Automatization on Employment?. GCG: Journal of Globalization, Competitiveness and Governability 18(3) https://gcgjournal.georgetown.edu/index.php/gcg/article/view/4359

Arroyo-Barrigüete, J. L., Núñez-Mera, C. B., Labrador, J., & De Nicolas, V. L. (2023). Ideology, scientific literacy, and climate change: the case of Spain. Journal of Environmental Studies and Sciences 13(2), 350-356 

Balázs, C., van Beekveld, M., Caron, S., Dillon, B. M., Farmer, B., Fowlie, A., ... Garrido-Merchán, E. C.,… & White, M. (2021). A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications. Journal of High Energy Physics 2021(5), 1-46 

Barcos Redín, L., Morales-Contreras, M.F., Suárez-Barranza, M.F., Rodríguez Chacón, V.M. (2025). TQM, Lean, Six Sigma, and Kaizen in higher education management: a bibliometric analysis. The TQM Journal Early Access https://doi.org/10.1108/TQM-12-2024-0519

Barrera, F.; Segura, M.; Maroto, C. (2024). Multicriteria sorting method based on global and local search for supplier segmentation. International Transactions In Operational Research Vol. 31, nº 5, pp.  3108 –3134  https://doi.org/10.1111/itor.13288

Barrera, F.; Segura, M.; Maroto, C. (2024). A Multicriteria Customer Classification Method in Supply Chain Management. Mathematics Vol. 12, nº 21, 3427 https://doi.org/10.3390/math12213427

Barrera, F.; Segura, M.; Maroto, C. (2024). Multiple criteria decision support system for customer segmentation using a sorting outranking method. Expert Systems with Applications Vol. 238, Part F, e122310 https://doi.org/10.1016/j.eswa.2023.122310

Barrera-Jimenez, F.; Arroyo-Barrigüete, J.L.; Garrido-Merchán, E.C.; Grinda-Luna, G. (2025). Invulnerability bias in perceptions of artificial intelligence’s future impact on employment. Scientific Reports Vol.15, nº 28698 https://doi.org/10.1038/s41598-025-14698-2

Bellón, C. & Figuerola-Ferretti, I. (2021). Bubbles in Ethereum. Finance Research Letters 46, 102387 

Beretta Custodio, C., Gu, Y., Portela, J. (2022). Decision tree tool for auditors’ going concern assessment in Spain. International Journal of Digital Accounting Research 22(28), 193-226 

C Martínez-de-Ibarreta, JA Cifuentes, CM Vallez, A Betancourt (2024). Unveiling the effect of social media communication on urban mobility. Transportation online https://doi.org/10.1007/s11116-024-10512-6

Camacho, A.; Valor, C.; Portela, J.; Arroyo-Barriguete, J.L. (2025). Examining Crash Factors in Free-Floating Carsharing. Journal of Road Safety Vol. 36, nº 2, pp. 10 – 22 https://doi.org/10.33492/JRS-D-25-1-2488310

Cañadas-Romero, M. A., Fernández, M., Rúa Vieites, A. (2023). Analysis of the relational integration for refugees in Spain: the role of ethnicity. Studi Emigrazione 231, 501-520 

Cañadas-Romero, M. A., Iglesias Martínez, J., Rúa Vieites, A., & Fernández García, M. (2023). Analysis of the Relational Integration Process of Migrants in Spain: The Ethnic Factor. International and Multidisciplinary Journal of Social Sciences 1–20 

Cañadas-Romero, M. A., Rúa-Vieites, A., Fernández-García, M., & Iglesias-Martínez, J. . (2024). Analysis of the Relational Integration Process of Migrants in Spain: The Ethnic Factor.. International and Multidisciplinary Journal of Social Sciences RIMCIS 13(1), 19–38. https://doi.org/10.17583/rimcis.11718

Carabias, López, S., Arroyo-Barrigüete, J.L., de Ribera, F.A., Segura, M.,& Hernández, A. (2025). El uso de plataformas digitales para la docencia presencial en las universidades españolas: análisis desde la percepción del profesorado. Revista Complutense de Educación Vol. 36, nº 4, pp. 565 – 579 https://dx.doi.org/10.5209/rced.96941

Charro-Baena, B., Rúa-Vieites, A., & Meneses-Falcón, C. (2023). Intimate partner violence among older women and men in Spain: prevalence and types. Partner abuse 14(2), 277-290 

Cifuentes, J. & Olart, F. (2022). A Macro Perspective of the Perceptions of the Education System via Topic Modelling Analysis. Multimedia Tools & Applications  https://doi.org/10.1007/s11042-022-13202-6

Cifuentes, J., Orozco, A. L. S., & Villalba, L. J. G. (2021). A survey of artificial intelligence strategies for automatic detection of sexually explicit videos. Multimedia Tools and Applications 1-18 

Corzo, T.; Martín-Bujack, K.; Portela, J.; Rodríguez-Gallego, A. (2025). Floating exchange rate efficiency: Grouping patterns and pandemic impacts. International Economics Vol. 182, pp. 100591-1 – 100591-15 https://doi.org/10.1016/j.inteco.2025.100591

Corzo, T.; Martín-Bujack, K.; Portela, J.; Rodríguez-Gallego, A. (2025). Exchange rate regime changes and market efficiency: An event study. Journal of International Financial Markets, Institutions and Money Vol. 100, pp. 102132-1 – 102132-25  https://doi.org/10.1016/j.intfin.2025.102132

De Diego Abad, J., Rúa Vieites, A. & Fernández García, M. (2021). Variables and Their Effect on Wildfires in Galicia (Spain). A Panel Data Analysis. Land 10(10), 1004 

De Diego, J., Fernández, M., Rúa Vieites, A. & Kline, J. D. (2023). Examining socioeconomic factors associated with wildfire occurrence and burned area in Galicia (Spain) using spatial and temporal data. Fire Ecology 19(1), 18 

de-la-Rica-Escudero, A., Garrido-Merchán, E. C., & Coronado-Vaca, M.  (2025). Explainable post hoc portfolio management financial policy of a Deep Reinforcement Learning agent.. PloS one 20(1), e0315528 https://doi.org/10.1371/journal.pone.0315528

Fernández-Sánchez, D., Garrido-Merchán, E. C., & Hernández-Lobato (2025). Alpha entropy search for new information-based Bayesian optimization. Knowledge-Based Systems 113612 https://doi.org/10.1016/j.knosys.2025.113612

Fernández-Sánchez, D., Garrido-Merchán, E. C., & Hernández-Lobato, D. (2023). Improved max-value entropy search for multi-objective bayesian optimization with constraints. Neurocomputing 546, 126290 

Figuerola-Ferretti, I., Cueto, J. M., Márquez, J., & Bermejo, R.   (2025). Firm-Level Analysis of Bubble Formation in Chinese Real Estate Equities. Economic Modelling, p. 107226. https://doi.org/10.1016/j.econmod.2025.107226 

G Wang, R Chalard, JA Cifuentes, MT Pham (2025). Learning an inverse thermodynamic model for Pneumatic Artificial Muscles control. Mechatronics 110, 103359. https://doi.org/10.1016/j.mechatronics.2025.103359

García, M. C. F., De Nicolás, V. L., Blanco, J. L. Y., & Fernández, J. L. (2021). Semantic network analysis of sustainable development goals to quantitatively measure their interactions. Environmental Development 37, 100589 

García-Duarte, L., Cifuentes, J.A., & Marulanda, G. (2023). Short-term spatio-temporal forecasting of air temperatures using deep graph convolutional neural networks. Stochastic Environmental Research and Risk Assessment 37(5), 1649-1667 

Garrido-Merchán, E. C., Arroyo-Barrigüete, J. L., Borrás-Pala, F., Escobar-Torres, L., de Ibarreta, C. M., Ortíz-Lozano, J. M., & Rua-Vieites, A.  (2024). Real Customization or Just Marketing: Are Customized Versions of Generative AI Useful?. F1000Research 13, 791. https://doi.org/10.12688/f1000research.153129.3

Garrido-Merchán, E. C., Fernández-Sánchez, D., & Hernández-Lobato, D. (2022). Parallel predictive entropy search for multi-objective Bayesian optimization with constraints applied to the tuning of machine learning algorithms. Expert Systems with Applications 119328 

Garrido-Merchán, E. C., Fernández-Sánchez, D., & Hernández-Lobato, D. (2023). Parallel predictive entropy search for multi-objective Bayesian optimization with constraints applied to the tuning of machine learning algorithms. Expert Systems with Applications 215, 119328 

Garrido‐Merchán, E. C., Mora‐Figueroa, S., & Coronado‐Vaca, M. (2025). Multi‐Objective Bayesian Optimization of Deep Reinforcement Learning for Environmental, Social, and Governance (ESG) Financial Portfolio Management.. Intelligent Systems in Accounting, Finance and Management 32(2) https://doi.org/10.1002/isaf.70008

Garrido-Merchán, E. C., Piris, G. G., & Vaca, M. C. (2023). Bayesian optimization of ESG (Environmental Social Governance) financial investments. Environmental Research Communications 5(5), 055003 

Gutiérrez, P. M. C., & Arroyo-Barrigüete, J. L. (2023). Productividad en la Industria 4.0. Evidencias empíricas en el sector de embotellado. Dirección y Organización 79, 35-51 

Iglesias, J., Rua-vieites, A., Ares Mateos, A. (2025). A segregated rootedness: the integration pattern of the global south immigration in Spain and its causes. Globalizations 1–21 https://doi.org/10.1080/14747731.2025.2506926

Karl, F., Pielok, T., Moosbauer, J., Pfisterer, F., Coors, S., Binder, M., ... Garrido-Merchán, E. C., & Bischl, B. (2023). Multi-Objective Hyperparameter Optimization in Machine Learning—An Overview. ACM Transactions on Evolutionary Learning and Optimization 3(4), 1-50 

Malacek, S.; Portela, J.; Werner, Y.; Wogrin, S. (2025). Generating building-level heat demand time series by combining occupancy simulations and thermal modeling. Smart Energy Vol. 18, pp. 100181-1 – 100181-15 https://doi.org/10.1016/j.segy.2025.100181

Martínez-Cruz, R.; López López, A.J.; Portela, J. (2025). ChatGPT vs state-of-the-art models: a benchmarking study in keyphrase generation task. Applied Intelligence Vol. 55, nº 1, pp. 50-1 – 50-25 https://doi.org/10.1007/s10489-024-05901-4

Martínez-Cruz, R.; Mahata, D.; López López, A.J.; Portela, J. (2025). Enhancing keyphrase extraction from long scientific documents using graph embeddings. Applied Intelligence Vol. 55, nº 10, pp. 711-1 – 711-18 https://doi.org/10.1007/s10489-025-06579-y

Marulanda, G., Cifuentes, J.A., Bello, A., & Reneses, J. (2023). A hybrid model based on LSTM neural networks with attention mechanism for short-term wind power forecasting. Wind Engineering 0309524X231191163 

Meneses Falcón, C., Rúa Vieites, A., & García Vázquez, O. (2025). Sexo de pago, pandemia y ley de extranjería. Revista OBETS, 20(1), 71–96. https://doi.org/10.14198/obets.27130

Meneses-Falcón, C., Rúa-Vieites, A., & García-Vázquez, O. (2024). Perceptions of Prostitution, Sex Work, and Sex Trafficking among Young People in Spain. Sociological Research Online 29(4), 1016-1035 https://doi.org/10.1177/13607804231212306 

Meneses-Falcón, C., Rúa-Vieites. A. (2023). Possible Consequences of the Criminalization of Sex Work in Spain, Inferred from COVID-19 Lockdown Measures. Sex Res Soc Policy 20(4), 1469-1482 

Mestre, G., Portela, J., Rice, G., San Roque, A. M., & Alonso, E. (2021). Functional time series model identification and diagnosis by means of auto-and partial autocorrelation analysis. Computational Statistics & Data Analysis 155, 107108 

Mora, E., Cifuentes, J. & Marulanda, G. (2021). Short-Term Forecasting of Wind Energy: A Comparison of Deep Learning Frameworks. Energies 14, 7943 

Morala, P., Cifuentes, J. A., Lillo, R. E., & Ucar, I. (2021). Towards a mathematical framework to inform neural network modelling via polynomial regression. Neural Networks 142, 57-72 

Morala, P., Cifuentes, J. A., Lillo, R. E., & Ucar, I. (2023). NN2Poly: A polynomial representation for deep feed-forward artificial neural networks. IEEE Transactions on Neural Networks and Learning Systems  

Morales Contreras, M. F., Bellón Núñez-Mera, C., & Barcos Redín, L. (2024). Promoting Insider Action Research: A practitioner-scholar perspective. International Journal of Quallitative Methods 23, 1-18 https://doi.org/10.1177/16094069241289285

Morales-Contreras, M., Suárez-Barranza, M. & Barcos, L. (2022). Analyzing Muda under COVID19 pandemic. A case study in a Spanish supermarket. Int. J. of Economic Policy in Emerging Economies  10.1504/IJEPEE.2022.10044259

Muñoz San Roque, I., Aza Blanc, G., Rúa Vieites, A., & Caro Carretero, R. (2024). Identificación y caracterización de perfiles de uso de redes sociales (RRSS) en estudiantes universitarios. Revista de Investigación Educativa 42(2). https://doi.org/10.6018/rie.565871

Ortiz-Lozano, J. M., Martínez-Morán, P. C., & de Nicolás, V. L. (2022). Teleworking in the public administration: An analysis based on spanish civil servants’ perspectives during the pandemic. SAGE Open 12(1) 10.1177/21582440221079843

Ortiz-Lozano, J. M., Martínez-Morán, P. C., & Fernández-Muñoz, I. (2021). Difficulties for Teleworking of Public Employees in the Spanish Public Administration. Sustainability 13(16), 8931 

Pérez Segura, V., Caro Carretero, R. & Rúa Vieites, A. (2021). Multivariate Analysis of Risk Factors of the COVID-19 Pandemic in the Community of Madrid (Spain). International Journal of Environmental Research and Public Health 18(17): 9227 

Pérez-Segura, V., Caro-Carretero, R., & Rúa-Vieites. A. (2023). Changing face of socio-economic vulnerability and COVID-19: An analysis of country wealth during the first two years of the pandemic. Plos one 18(8), e0290529 

Pizarroso, J., Portela, J., & Muñoz, A. (2022). NeuralSens: Sensitivity Analysis of Neural Networks. Journal of Statistical Software 102(1), 1–36 https://doi.org/10.18637/jss.v102.i07

Pizarroso, J.; Alfaya, D.; Portela, J.; Muñoz, A. (2025). Metric tools for sensitivity analysis with applications to neural networks. Applied Soft Computing Vol. 180, pp. 113300‑1 – 113300‑19 https://doi.org/10.1016/j.asoc.2025.113300

Portela, J., Roch Dupré, D., Figuerola-Ferretti Garrigues, I., Yéboles, C., Salazar, A. (2023). Monitoring the green transition in the power sector with the electricity generation emissions (EGE) tracker. Energy Strategy Reviews 50, 101236-1 - 101236-15 

Rabadán-Martín, I., Barcos-Redín, L., Pereira- Delgado, J., Aguado-Correa, F., Padilla-Garrido, N. (2025). Topic-based engagement analysis: Focusing on hotel industry Twitter accounts. . Tourism Management 106, 104981 https://doi.org/10.1016/j.tourman.2024.104981

Rodriguez, M. A., Sotomonte, J. F., Cifuentes, J., & Bueno-López, M. (2021). A Classification Method for Power-Quality Disturbances Using Hilbert–Huang Transform and LSTM Recurrent Neural Networks. Journal of Electrical Engineering & Technology 16(1), 249-266 

Rodríguez-Cuenca, F.; Sánchez-Úbeda, E.F.; Portela, J.; Muñoz, A.; Guizien, V.; Veiga, A.; Mateo, A. (2025). Television usage recommendations for energy efficiency: A Probabilistic methodology based on the Wasserstein distance. Energy Vol. 322, pp. 135410-1 – 135410-13 https://doi.org/10.1016/j.energy.2025.135410

Rua-Vieites,A., Meneses-Falcon, C., & García-Vazquez, O. (2024). Perception of sex buyers by young Spaniards. Masculinities & Social Change 13 (3), pp. 196-214 http://dx.doi.org/10.17583/msc.12595

Sánchez-Úbeda, E. F., Portela, J., Muñoz, A., Montuenga, E. C., & Hallack, M. (2022). Impact of COVID-19 on electricity demand of Latin America and the Caribbean countries. Sustainable Energy, Grids and Networks 30, 100610 

Sandoval, A., Márquez, J., & Cervera, I. (2022). The countercyclical long-term operating accrual-based trading strategy in the Stoxx Europe 600 index: The importance of asset and liability components. Plos one 17(5), e0266045 

Santamaría, T. C., Martin-Bujack, K., Portela, J., & Sáenz-Diez, R. (2022). Early market efficiency testing among hydrogen players. International Review of Economics & Finance 82, 723-742 

Santiago, SS., & Cifuentes J. (2024). Deep learning‐based gesture recognition for surgical applications: A data augmentation approach. Expert Systems 41(12), e13706 https://doi.org/10.1111/exsy.13706

Sison, A.J.G., Daza, M.T., Gozalo-Brizuela, R., & Garrido-Merchán, E.C. (2023). ChatGPT: More Than a “Weapon of Mass Deception” Ethical Challenges and Responses from the Human-Centered Artificial Intelligence (HCAI) Perspective. International Journal of Human–Computer Interaction  

Sobrino, A., Garrido-Merchán, E. C., & Puente, C. (2021). Fuzzy Stochastic Timed Petri Nets for Causal Properties Representation. New Mathematics and Natural Computation 17(03), 633-653 

Valor, C, Martín-Magdalena J., Lazcano L., & Bada, C. (2025). Rhetorical use of displayed emotions in resource mobilization: A proposal of a pedagogy. The International Journal of Management Education 23(2) https://doi.org/10.1016/j.ijme.2025.101165

Villacampa-Calvo, C., Zaldívar, B., Garrido-Merchán, E. C., & Hernández-Lobato, D. (2021). Multi-class gaussian process classification with noisy inputs. Journal of Machine Learning Research 22 (36), 1-52 

Villacampa-Porta, J., Coronado-Vaca, M., & Garrido-Merchán, E. C.  (2025). Impact of EU non-financial reporting regulation on Spanish companies’ environmental disclosure: a cutting-edge natural language processing approach.. Environmental Sciences Europe 37(1), 1-33 https://doi.org/10.1186/s12302-025-01067-z

Lopez-Sanchez, J.I. & Arroyo-Barriguete, J.L. (2022). Robot and Automation. Which are the Impacts on the Productivity, Jobs and Inequality of the Countries?. In: Grau Ruiz, M.A. (eds) Interactive Robotics: Legal, Ethical, Social and Economic Aspects. INBOTS 2021. Biosystems & Biorobotics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-031-04305-5_13 

Fariña García, M. C., De Nicolás, V. L., Yagüe Blanco, J. L., & Labrador Fernández, J. (2022). Sustainable Development Goals in Project Management. Quantitative And Automatic Evaluation at The 24th Icpme Congress. Paper presented at the Proceedings from the International Congress on Project Management and Engineering, 2021-July 1831-1847.   

Arroyo-Barrigüete, J.L., Carabias, S., Corzo, M.T. y Martín, G. (2021) “Rendimiento matemático en el grado en ADE: un enfoque de género” In Vega Caro, L., Vico Bosch, A., Recio Moreno, D. (coords.), Nuevas formas de aprendizaje en la era digital: en busca de una educación inclusiva. Dykinson

Arroyo-Barrigüete, J. L., Fernández, L. & Obregón, A. (2022). “Eurovision in the Boardroom: What Does Voting Order Tell Us About Decision Making?” In Dubin, A., Obregón, A., Vuletic, D. (Editors), The Eurovision Song Contest: From Concert Halls to the Halls of Academia. Routledge.

Cervera Conte, I., Arroyo-Barrigüete, J.L., (2021) “¿Café para todos? Riesgos de la evaluación entre iguales en el contexto universitario” In Bizón-García, O., Romero-García, C., Verdí Vazquez, A. (coords.), Innovaciones metodológicas con TIC en educación. Dykinson.

Giménez, M. J., Borrás, F. y Carabias, S. (2021). “Sesgo matemático negativo en los alumnos del doble grado en ADE y Derecho: un análisis cuantitativo” In Vega Caro, L., Vico Bosch, A., Recio Moreno, D. (coords.), Nuevas formas de aprendizaje en la era digital: en busca de una educación inclusiva. Dykinson.

Meneses-Falcon, C., Rúa-Vieites, A., Garcia-Vázquez, O. (2022). Intervención social con mujeres en prostitución y víctimas de trata. Aportaciones y experiencias durante COVID-19. Colección Trabajo social y bienestar social. Editorial Universidad de Granada. 

Morales-Contreras, M., Leporati, Marcelo, Barcos, L. (2021). ”Redefiniendo la gestión de la cadena de suministro”. In Carlos Dittmar, E. (coord.) Retos yoportunidades para la empresa del siglo XXI. Consideraciones desde una perspectiva jurídico empresarial.  Thomson Reuters – Aranzadi

Ortiz Lozano, J. M. (2024)   Practicas de estadística con R y RCommander en el ámbito del Business Analytics. Universidad Pontificia Comillas

Ministerio de Ciencia e Innovación. "Determinants of academic performance and dropout in higher education: analysis of the impact of the use of educational platforms and social networks - ABANRED2020". PID202020-116293RB-I00. 

IPs: Adolfo Hernandez y María Fernández Mellizo-Soto, U. Complutense de Madrid. 

Miembros del GIIDA: Jose Luis Arroyo-Barrigüete y Susana Carabias López. 

Fecha de adjudicación: 28/9/2021

Ministerio de Ciencia, Innovación y Universidades. "Networks, Corporate Governance and Incentives". PGC2018-097187-B-I00. 

IPs: Jose Antonio Trbó Giné y Pablo Ruíz Verdú. 

Miembros del GIIDA: Carlos Bellón.

SANTANDER-UCM 2020 "Development of predictive models of academic performance and early detection of dropout: following the footprint of students in educational platforms and social networks". PR108/20-10. 

IP: Adolfo Hernandez, U. Complutense de Madrid. 

Miembros del GIIDA: Jose Luis Arroyo-Barrigüete. 

Fecha de adjudicación: 14/4/2021

E-learning Comillas PREU-MAT (2021-2022)

Proyecto interfacultativo en Comillas, desarrollado conjuntamente entre el Dpto. de Matemática Aplicada de la ETSI-ICAI y el Dpto. de Métodos Cuantitativos de la Facultad de Ciencias Económicas y Empresariales. El objetivo general es desarrollar un Curso 0 online en Moodle, con contenidos matemáticos, para los nuevos alumnos de Comillas en las titulaciones con asignaturas de matemáticas.

Desarrollo competencial a través de Lego Serious Play en el entorno universitario (2021-2022) [Competence development through Lego Serious Play in the university environment (2021-2022)].

Proyecto Aristos Mundi (IQS, Deusto y Comillas). Su objetivo es formar a los profesores universitarios en la metodología Lego Serious Play para el desarrollo de las competencias transversales "Trabajo en equipo", "Creatividad e innovación" y "Resolución de problemas" de forma que dispongan de las herramientas necesarias para aplicarlas posteriormente con los alumnos.

Programación en R desde cero para alumnos a los que nos le gusta programar (2023-2024)

Programa 22-23 de la Universidad Pontificia Comillas para el desarrollo de proyectos de innovación docente. El objetivo es elaborar un curso de introducción a la programación en R que ayude a reducir la  programming anxiety en los estudiantes de grado de la U. Pontificia Comillas. Se pretende que este curso sirva para reducir los niveles de estrés ante la programación, de modo que cuando aborden las asignaturas de métodos cuantitativos que requieren programación en R (Estadística y Probabilidad, Métodos Estadísticos, Machine Learning I, II y III, etc.), lo hagan con una mayor tranquilidad y por tanto mejoren sus resultados de aprendizaje.