Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

DyNeMo

Financiado

Statistical Machine Learning for Dynamic Network Modelling

Networks are ubiquitous in the society, technology, biology and economy. Being able to perform accurate inference and prediction on such data is highly non-trivial due to their large size and complex dynamic behaviour. In many net... ver más

31/05/2026

UCY

164K€

Presupuesto del proyecto: 164K€

Líder del proyecto

UNIVERSITY OF CYPRUS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-05-12

HORIZON-MSCA-2023-PF-01-01: MSCA Postdoctoral Fellowships 2023 ExpectedOutcome:Project results are expected to contribute to the following outcomes:

I+D

Cerrada hace 1 año

0% 100% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

UCY

164.33K€ | Lider

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

TIMING Temporal Innovative Model for Imitative Network Generation:... 131K€ Cerrado

Plataforma open-source para gestión de recurs... Plataforma open-source para gestión de recursos naturales y... 299K€ Cerrado

BES-2012-052718 REPRESENTACION DEL CONOCIMIENTO EN REDES DINAMICAS 43K€ Cerrado

Politus AI-based Data Platform for Fair Social Policies 150K€ Cerrado

PID2019-104966GB-I00 DATOS TEMPORALES: MINERIA DE DATOS SOBRE SERIES TEMPORALES Y... 126K€ Cerrado

SURIMI Integration of innovative and reliable socio-ecological mode... 3M€ Cerrado

Duración del proyecto: 24 meses Fecha Inicio: 2024-05-12
Fecha Fin: 2026-05-31

Líder del proyecto

UNIVERSITY OF CYPRUS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 164K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Networks are ubiquitous in the society, technology, biology and economy. Being able to perform accurate inference and prediction on such data is highly non-trivial due to their large size and complex dynamic behaviour. In many networks such as social ones, connectivity patterns and network structurechange dynamically. On the other hand, technological networks such as water systems have fixed structure but dynamic processes might take place on them appear, such as failures. DyNeMo is a cross-disciplinary project that aims to provide a novel, explainable yet scalable framework using statistical machine learning to model dynamic behavior on networks, with the goal to answer crucial scientific questions with social and environmental impact, influencing public policy. The project combines statistical tools that ensure flexibility, data adaptivity and interpretable parameters with Deep Learning tools ensuring efficiency and scalability. The methods will be used to answer two highly impactful scientific questions given access on unique datasets. The first is how companies worldwide can maximize their socio-environmental impact aligned with UN sustainable goal strategies. The second question is how to quantify and predict behaviour of cascading pipe failures on the water distribution systems in Cyprus. The results will detect patterns and perform prediction, thus influencing public policy in alignment to the EU strategic goals on monitoring water systems. The fellow and the supervisor have complementary expertise which in combination with the plan, the arrangements and environment provided by the host institution ensure a successful implementation of this novel and timely project as well as an effective dissemination and utilisation of the expected outcomes. The results of the proposed action are expected to have important conclusions on socio-environmental impact and can shape decision making and policy making in the EU and around the world.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores