SEIO 2026 Santiago de Compostela

Abstract

The XLII National Congress on Statistics, Operations Research and Data Science (SEIO 2026) serves as a meeting point for academics, researchers, and professionals to share advances, ideas and experiences across statistics, operations research, and data science disciplines. The congress will focus on artificial intelligence, large-scale data analysis, global sustainability challenges, uncertainty understanding and resource optimization, predictive modeling development, and the integration of classical methodologies with advanced computational techniques.

Date
Sep 2, 2026 — Sep 5, 2026
Location
Santiago de Compostela, España
Facultad de Ciencias Económicas, Universidade de Santiago de Compostela, Santiago de Compostela,

The XLII National Congress on Statistics, Operations Research and Data Science (SEIO 2026) will take place in Santiago de Compostela from September 2 to 5, 2026, at the Faculty of Economics of the Universidade de Santiago de Compostela.

This congress serves as a meeting point for academics, researchers, and professionals from the public administration and private sector to share advances, ideas and experiences across statistics, operations research, and data science disciplines.

The event will focus on key areas including:

  • Artificial intelligence and large-scale data analysis
  • Global sustainability challenges
  • Uncertainty understanding and resource optimization
  • Predictive modeling development
  • Integration of classical methodologies with advanced computational techniques
  • Data science and optimization methodologies
  • Both theoretical and applied research contributions

The congress will include paper presentations (methodological and applied), invited sessions, poster presentations, and scientific and technical discussions, providing an excellent opportunity for knowledge exchange and networking among professionals and researchers in the field.

For registration and more information, visit seio2026.com or contact seio.santiago.2026@usc.es