DIGURB-SUST

Urban sustainability seeks to improve the social, economic, and environmental conditions of a city to ensure the quality of life for current and future residents. Conversely to the static nature of urban development, the consideration of time in urban planning is essential to anticipate and validate future urban changes. Smart cities emerged as a panacea in the last decades, but they are a mere receptor for a massive amount of data from a large network of devices and sensors (Internet of Things) dispersed in the city. City information modelling has been developed to use big data to represent an interactive 3D model of urban areas since then. For instance, urban digital twins (UDTs) simulate changing urban scenarios to make more efficient urban ecosystems. However, the interaction with these models is yet a pending challenge to be faced. Aiming to bridge this gap, new digital technologies based on virtual reality offer pioneering instruments to provide individuals with an immersive experience promoting the enhancement of a wide range of environmental, social, economic, and institutional aspects. DIGURB-SUST thus pursues the application of digital technologies in sustainable urban development by particularly addressing social and institutional (governance) dimensions. Furthermore, DIG_URB_SUST intends to attract the attention and collaboration of experts in smart cities, urban digital twins, metaverse, data science, machine learning, artificial Intelligence, blockchain, virtual/mixed/augmented reality, Internet of Things, among others, to achieve urban sustainability.

Jose Manuel Diaz Sarachaga

José Montoya Belmonte

2

GISTA

Sustainable innovation integrates environmental, economic, and social strategies with advanced technologies to address global challenges and foster resilient systems. The convergence of circular economy principles and advanced technologies enables the creation of data-driven solutions that optimize resources, reduce waste, and enhance decision-making. GISTA – Research Group on Sustainable Innovation and Advanced Technologies– aims to explore both independent and combined applications of these fields to design scalable, impactful strategies aligned with the UN 2030 Agenda, the European Green Deal, and the European Digital Strategy. The group seeks to attract collaboration from academia, industry, and public institutions to drive systemic change towards a smarter and greener future.

José Montoya Belmonte

No hay Co-ip

2

SCODeM

This research group aims to develop high level research on the application of decision making theories and optimization tools in supply chain, logistics, transport and production systems. The role of decision making tools in information system and computer programming is inevaitable. The focus is on the smart logistics, supplier management, waste reduction in manufacuring, location problems, sustainable design of transportaiton systems. In addition, researchers design robust decision making models (MCDM, MCDA, MODM) and develop high standards analysis to test those methods. Sort of algorithms like MABAC, CoCoSo, MARCOS, LBWA, and fuzzy extentions of them are configured and validated by software and instruments. The research group has annual conferences and several call for papers in top and high quality journals.

Morteza Yazdani

No hay Co-ip

2