Data Science Institute

En proceso:

• Principal Component Analysis Formulations to Tackle Complex Real-world Optimization Problems
• New gender-based crossover operator for single and multiobjective evolutionary optimisation
• A new repair operator for constrained optimisation
• Intelligent predictive data analysis techniques applied to dropping out of university studies
• Respect Factor Research--The Respect Project--Latin America
• Geographic, economic, and cultural predictors of health disparities
• Evaluating the Quality of the SIPP and the ATUS Using Administrative Records and Paradata

Concluidos:

• Incorporación de preferencias en el diseño automático de algoritmos para optimización multiobjetivo
• Integrating Meta-Heuristics, Simulation and Exact Techniques for Production Planning of a Failure-Prone Manufacturing System
• "Big Data Meets Survey Science" Special Issue
• Exploring New Statistical Frontiers at the Intersection of Survey Science and Big Data: Convergence at “BigSurv18?”
• Memory Gaps in the American Time Use Survey. Are Respondents Forgetful or is There More to it?
• Capítulo "Calendar and time diary methods: tools to assess well-being in the 21st century" para libro Innovative Research Methods in Health Social Sciences

• Diaz, Juan Esteban, & López-Ibáñez, Manuel. 2020. Incorporating Decision-Maker's Preferences into the Automatic Configuration of Bi-Objective Optimisation Algorithms. European Journal of Operational Research. In press. https://doi.org/10.1016/j.ejor.2020.07.059
• Diaz, Juan Esteban, & López-Ibáñez, Manuel. 2020. Incorporating Decision-Maker's Preferences into the Automatic Configuration of Bi-Objective Optimisation Algorithms. Zenodo. http://doi.org/10.5281/zenodo.3749288
• Diaz, Juan Esteban., Handl, Julia., Xu, Dong-Ling, 2018. Integrating meta-heuristics, simulation and exact techniques for production planning of a failure-prone manufacturing system. European Journal of Operational Research 266, 976–989. https://doi.org/10.1016/j.ejor.2017.10.062
• Espinoza Aguirre, C. B., & Iñiguez Matute, P. F. (2018). Implementación de Gobierno de TI. Editorial USFQ, 6(1), 25. Peer Review.
• C. Espinoza-Aguirre and D. Pillo, "IT governance model for public institutions with a focus on higher education," 2018 13th Iberian Conference on Information Systems and Technologies (CISTI), Caceres, 2018, pp. 1-14, https://doi: 10.23919/CISTI.2018.8399248
• Aguirre, C. B. E., & Iñiguez, P. F. (2018). Gobierno de Tecnologías de la Información (TI) como aliado del Negocio. Editorial Académica Española.
• Hill, C. A., Biemer, P., Buskirk, T., Callegaro, M., Córdova-Cazar, A. L., Eck, A., Japec L., Kirchner A., Kolenikov S., Lyberg L., & Sturgis, P. (2019, April). Exploring New Statistical Frontiers at the Intersection of Survey Science and Big Data: Convergence at “BigSurv18”. In Survey Research Methods (Vol. 13, No. 1, pp. 123-134). http://dx.doi.org/10.18148/srm/2019.v1i1.7467
• Eck, A., Córdova-Cazar, A.L., Callegaro, M., & Biemer, P. (2019). Big Data Meets Survey Science. Social Science Computer Review, 1, 5. https://doi-org.libproxy.unl.edu/10.1177/0894439319883393

Consultorías en:

• Inteligencia artificial
• Machine learning
• Data analytics
• Big data
• Optimización
• Simulación
• Computación evolutiva
• Data mining
• Reconocimiento de patrones
• Control predictivo
• Investigación por encuestas
• Survey science
• Análisis del comportamiento
• Diseño de cuestionarios