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One of the distinguished features of BISITE is the multidisciplinary nature of its members, including both researchers and professionals with extensive experience in different fields including agents and multiagent systems, ambient intelligence, technology to improve the educational environment, etc. This differentiation allows the group to work on a wide variety of global projects in different disciplines of knowledge.
The majority of our projects are developed in collaboration with other companies, which facilitates transfer of knowledge.
Below is a brief summary of some projects that are currently developing within the research group:
Searcher projects
CyberChain: Ibero-Asian Ring on Blockchain for Cybersecurity
Principal Research:
Start date: 04-2023 End date: 12-2025
Convenio de colaboración entre la USAL y las S.M.E. e INCIBE para la promoción de la Cultura de Ciberseguridad mediante la organización de eventos en el marco del Plan de Recuperación, Transformación y Resiliencia, financiado por la UE- Next Generation EU
Start date: 04-2023 End date: 12-2025
DIGIS3: Smart, Sustainable and coheSive Digitalization conceived as a Digital Innovation Hub
Reference: 101083898
Principal Research: Juan Manuel Corchado Rodríguez
Start date: 01-2023 End date: 12-2025
Funding: 3.447.326,00 €
Website: https://digis3.eu/en
GILL: Gendered Innovation Living Labs
Reference: HORIZON-WIDERA-2022-ERA-01
Funding body: The European Union's Horizon Europe research and innovation program.
Principal Research: Javier Prieto Tejedor
Start date: 01-2023 End date: 12-2025
Funding: 134.750.00 €
Website: https://gi-ll.eu/
BUILDMA: BUILDings intelligent MAnagement system based on edge computing
Reference: CPP2021-009051
Funding body: Ministry of Science and Innovation, European Union NextGeneration.
Principal Research: Sara Rodríguez González
Start date: 10-2022 End date: 10-2025
Funding: 386.575,00€
Website: https://buildma.usal.es/
CPP2021-009051 research project funded by MCIN/AEI /10.13039/501100011033 and by the European Union NextGenerationEU/PRTRTR and by the European Union NextGenerationEU/ PRTR
TRUESTORIES: TRUstworthy artificial intElligence over NPL to fight againST disinfORmation InstrumEnts in fiction
Reference: CPP2021-008358
Funding body: State Research Agency (Ministry of Science and Innovation)(Projects in public-private collaboration 2021)
Collaborators: EUROSTAR MEDIAGROUP and UNIVERSIDAD DE SALAMANCA
Start date: 10-2022 End date: 09-2025
The overall objective of project TrueStories is to investigate language technologies to create a tool that detects, classifies, and mitigates the impact of false information in fictional works, by automatically extracting reliable information (Information Fusion from trusted data sources, consensus Trustworthy AI algorithms), creating and certifying data ontologies as ground-truth basis (Knowledge Management, DLTs), contrasting information in fictional works with it to detect false information therein and classifying it as unintentional intentional misinformation (Natural Language Processing). The resulting tool integrating all these innovations will allow to automatically detect and identify the existence of false information in works of fiction.