Forecast of time-varying effects of post-GFC monetary policy + a novel computing application
Objective:Central banks worldwide routinely use models in assessing and forecasting the global and domestic economic outlook in order to determine the most suitable monetary policies. Economies evolve over time and policies that worked in the 1980s might not be viable at the present time, thus models must be flexible to account for these changes. Undoubtedly, it is difficult to identify the exact point in time when a change in macroeconomic behaviour occurs, particularly a change that will trigger a reactive monetary policy to neutralise its negative effects. The current project proposes a new methodology, which due to its local nature can react faster to changes in the process than other existing methodologies. This project aims at breaking new ground in several respects. First, by proposing for the first time a nonparametric local linear estimator of multivariate processes with possible smooth or abrupt changes in the parameters. Second, by developing a user-friendly computational package with the aforementioned functionality. Finally, by investigating the effect for G7 and Eurozone economies of the monetary policies driven by the global financial crisis.
MATH4SPORTS - Modelización matemática para la industria deportiva: salud y rendimiento
MATH4SPORTS seeks to transfer applied mathematics as a driving technology to the field of the sports industry, with a high potential for technology transfer to start-ups, professional clubs, researchers and other agents in the innovative environment of Bizkaia.
M-KONTAK - Investigación de los Fenómenos Asociados al Contacto Metal-Metal en Tecnologías de H2 a Alta Presión
The main objective of the M-KONTAK project is to gain an in-depth understanding of the failure modes and their effect on metallic materials and the surfaces of threaded joints in candidate technologies for high-pressure H2 effect on the metallic materials and surfaces that make up the threaded jo
KAIROS - Digitalización predictiva del comportamiento a largo plazo de materiales poliméricos composites. Empleo de IA, modelización basada en la física y metodologías de aceleración de ensayos
KAIROS was created with the main objective of researching and obtaining a solution that allows multi-scale digitisation combined with ML and accelerated testing methodologies, for the study of the long-term behaviour (creep, fatigue, ageing) of polymeric materials applicable, for example, to the
CHARGER+ - Nueva Generación de Puntos de Recarga de Vehículo Eléctrico con Funcionalidades Autónomas y Colaborativas e Impacto Cero
The general objective of the CHARGER+ project is to generate the necessary knowledge to define a new generation of electric vehicle (EV) charging points, so that the related Basque companies (electricity companies, charging post installation companies and charger manufacturers) will be in an adva