Missions 2.0. 2022 call resolution

The 10 selected projects work to develop joint responses in the proposed areas, all within the framework of Euskampus Missions 2.0, which aims to explore and exploit Artificial Intelligence as a key factor of development to address major scientific, technological, economic and social challenges.

 

The cooperative research initiatives that will receive financial support from Euskampus Fundazioa will also participate in Euskampus Mentoring program; a space for co-creation where the research teams will develop a solid base of knowledge and skills to promote and amplify the transfer and impact of the results of their research to society.

The projects selected in this call are very diverse: from the application of Artificial Intelligence techniques for the development of an intelligent crutch that allows continuous and personalized diagnosis of patients with functional mobility problems, to the application of Artificial Intelligence for the promotion of the Circular Economy through fiscal policies aligned with the Sustainable Development Goals.

Artificial Intelligence (AI) offers multiple opportunities to advance the socio-economic field in the right direction and at the right pace to better and jointly face a series of scientific, technological, economic, social and political challenges that require complex cooperative responses.

The projects selected in this call are very diverse: from the application of Artificial Intelligence techniques for the development of an intelligent crutch, to the application of Artificial Intelligence for the promotion of the Circular Economy through fiscal policies.

The thematic axis aims to foster collaboration between research groups from various fields, including the social and human sciences, which, together with other research groups, develop innovative projects, both from the point of view of their research object and from the point of view of methodology and interdisciplinary and systemic approach.

The projects selected in the Euskampus Missions 2.0 call are the following:

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  • NEUROTIP

Aplicación de técnicas de Inteligencia Artificial para el desarrollo de una muleta inteligente personalizada.

Thematic Area “Personalized Health”

PI 1: Eva Portillo Pérez (Department of Systems Engineering and Automatics, Bilbao School of Engineering- UPV/EHU)

PI 2: Ana Rodriguez Larrad (Department of Physiology, Faculty of Medicine and Nursing- UPV/EHU)

  • IA-TERM

Desarrollo de herramientas de diagnóstico avanzadas basadas en la IA y la termoeconomía para detectar anomalías y aumentar la eficiencia energética en sistemas térmicos de edificios.

Thematic area: “Cleaner energies”

PI 1: Ana Picallo Perez ( ENEDI Research Group, Department of Energy Engineering- UPV/EHU)

PI 2: Roberto Santana Hermida (Department of Computer Science and Artificial Intelligence, Faculty of Computer Science- UPV/EHU)

  • AISPAN

New approach to design anticancer vaccines based on holistic Artificial Intelligence tool and sorbitan ester based nanosystem.

Thematic area : “Personalized Health”

PI 1: Iker Badiola (Department of Cell Biology and Histology. Faculty of Medicine and Nursing. University of the Basque Country - UPV/EHU)

PI 2: Majid Khatib (BRIC Bordeaux Institute of Oncology - Université de Bordeaux) 

  • EXTEPA

Extracción de entidades médicas y creación de líneas Temporales basadas en técnicas de Procesamiento del Lenguaje Natural aplicadas a la historia clínica del Paciente.

Thematic area: "Personalized Health”

PI 1: Alicia Pérez (HiTZ Basque Language Technology Centre- UPV/EHU)

PI 2: Carmen Vidaurre (TECNALIA HEALTH Divison), Sergio Gil López (TECNALIA DIGITAL Division)

  • ElikaMap

Identificación e inventario automático de clientes en la red de distribución eléctrica de baja tensión.

Thematic area: "Cleaner energies"

PI 1: Josu Ceberio Uribe (Computer Science Faculty - UPV/EHU)

PI 2: Iker Lasa Ojanguren (Ormazabal Corporate Technology) 

  • KONTSUMADIM

Autoconsumo colectivo inteligente de energía FV en el parque tecnológico Izarbel.

Thematic areas :“Cleaner energies” and “Inclusive and advanced society”

PI 1: Haritza Camblog Ruiz (Gipuzkoa School of Engineering (GIE) - UPV/EHU)

PI 2: Octavian Curea (ESTIA Recherche)

  • ORLEG-IA

Nuevas técnicas y modelos eficientes, autónomos y autoconfigurables de Inteligencia Artificial para el análisis sostenible de datos.

Thematic areas “Cleaner energies”

PI 1: Javier Del Ser Lorente (TECNALIA)

PI 2: Tomás Teijeiro Campo (Mathematics Department - UPV/EHU) 

  • STIGMA

Sistema inteligente y tecnologías portátiles para detectar y monitorear las condiciones de salud mental.

”Thematic area: "Personalized Health"

PI 1: Miren Karmele López De Ipiña Peña ( Department of Systems Engineering and Automatics, Polytechnic University College Donostia-San Sebastián - UPV/EHU)

PI 2: Luis Felipe Callado (Pharmacology Department- UPV/EHU)

  • VirPAT1.0

Los Pacientes Virtuales (VPs), son simulaciones interactivas de casos clínicos representando una alternativa a pacientes humanos en los Exámenes Clínicos de Objetivo Estandarizado (ECOE). El proyecto busca construir un Sistema de Diálogo que funcione como un VP simulado.

Thematic area: "Personalized Health"

PI 1: Aitziber Atutxa Salazar (Bilbao Engineering School, HiTZ Language Technology Centre - UPV/EHU)

PI 2: Jose Vicente Lafuente Sanchez ( Vice-Dean of the Faculty of Medicine and Nursing - UPV/EHU, Director of the Department of Stomatology II and Head of the Research Group. LaNCE-Neuropharm) 

  • SOFIA

Sostenibilidad, Fiscalidad, Inteligencia Artificial (SOFIA): Aplicación de la Inteligencia Artificial para la promoción de la Economía Circular mediante políticas fiscales alineadas con los Objetivos de Desarrollo Sostenible.

Thematic areas: "Circular Economy and Responsible Consumption" and "Inclusive and Advanced Society".

PI 1: Sofía Arana Landín (Law Faculty - UPV/EHU)

PI 2: Waleska Sigüenza Tamayo (Faculty of Economics and Business - UPV/EHU)

The Euskampus Missions 2.0. program is a contribution of Euskampus Fundazioa to the development of initiatives that generate opportunities to orchestrate joint responses to major challenges.

See here full text of the call for proposals.