ADAMIQS – Applied Data Analytics and Modeling IQS
2021 SGR 00518
Coordinator
The goal of this group is the application of data analytics and modeling techniques to the different areas of expertise of IQS (i.e. biosciences, engineering and social sciences) and the teaching of these techniques in higher education.
It is recognised by AGAUR as an Emerging Research Group.The group specializes in:-Unstructured data analytics and semantic modeling applied to engineering and management-Multivariate modeling in biosciences with experimental and synthetic data-Analytics and modeling of social systems-Analytics in higher education-Active learning methodologies in STEM higher education-Optimization and design of experiments methodologies
In this environment ADAMIQS provides the following technological, consulting, and RD services:
- Design of in company training courses on quantitative methods, specialized software (Excel, R, Gretl, among others), management and design of experiments.
- Design of training courses for teachers focused on the areas of expertise of the group
- Analytic interpretation of data related to web activity and educational environment usage
- Support in the analysis and interpretation of questionnaire data
- Support in the design and development of simulations and interactive resources for teaching in STEM areas (sciences, technology, engineering and mathematics) and management
Colaboradores externos
Manel Guerris, PhD
Universidad de DeustoVanessa Serrano, PhD
Universidad de DeustoJavier Garcia-Zubia, PhD
National Institutes of Health, EEUUUnai Hernandez, PhD
EUSS School of EngineeringSunghwan Kim, PhD
University of WarwickIgnasi Florensa, PhD
The Francis Crick InstituteDavid Rand, PhD
University of Arkansas al Little RockJames Briscoe, PhD
Instituto Politécnico do PortoRobert Belford, PhD
Universitat Politècnica de CatalunyaGustavo Alves, PhD
Universidad de Castilla La ManchaClara Prats, PhD
Universidad Diego Perales (Chile)Juan Ramón Trapero, PhD
Universidad Carlos III de MadridAlba Martínez, PhD
David E. Singh, PhD