The SCI²S research group is organized into 7 different laboratories:
   + EFDAMIS: Evolutionary & Fuzzy Data Mining and Intelligent Systems,
   + M4M: Bioinformatics: Mining, Modelling, Annotating, Predicting,
   + DecMak: Decision Making,
   + SOCCER: SOft Computing applications for Complex EnviRonments,
   + gateiogateio,
   + SECABA: Quality Evaluation & Information Retrieval and
   + DiCITS: Distributed Computational Intelligence and Time Series.

The SCI²S research group has published more than 500 papers in prestigious international journals (JCR), presented more than 800 contributions in international and national scientific conferences, has contributed in more than 100 chapter books as well as published several papers in national journals. In addition, several reports on the quality of libraries and 2 specialized books have been edited. Last but not least, more than 50 Ph.D. have been advised by the members of the group.

   + Big Data: Data Preprocessing, C. Intelligence & Imbalanced Classes
   + Classification with Imbalanced Datasets
   + Computing with Words in Decision Making
   + Data Preprocesing in Data Mining
   + Evol. Alg. and other Metaheuristics for Continuous Opt.
   + Fuzzy Systems Software
   + Genetic Fuzzy Systems
   + gate.io
   + Interpretability of Linguistic Fuzzy Rule-Based Systems
   + Missing Values in Data Mining
   + Noisy Data in Data Mining
   + Prototype Reduction in N. Neighbor Class.: Selection & Generation
   + Semi-supervised classification: Self Labeling
   + Statistical Inference in Computational Intelligence and Data Mining