II Jornada científica EOMA

25 febrero, 2021
9:00 ama6:00 pm
4 marzo, 2021
9:00 ama2:00 pm

El 25 de Febrero y el 4 de marzo del 2021 de 9 a 14 horas se realizará la II Jornada científica EOMA.

Todos los alumnos de segundo año del Doctorado en Estadística, Optimización y Matemática Aplicada tendrán la oportunidad de exponer durante 30 minutos la investigación en la que están trabajando junto a sus directores y codirectores en el programa de doctorado. La primera jornada tuvo un gran éxito de participación y seguimiento. Debido al momento en el cual estamos atravesando por la pandemia del COVID, la jornada será seguida a través de una sala de google meet.

A continuación le dejamos el enlace para obtener más información con respecto a horarios y ponentes.

http://eoma.edu.umh.es/2021/01/13/ii-jornada-cientifica-eoma/

Deep learning architectures for music audio classification: a personal (re)view

23 febrero, 2021
12:00 pm

Título:  Deep learning architectures for music audio classification: a personal (re)view

Ponente: Jordi Pons i Puig (Dolby Laboratories)

Organizador: Jesús Javier Rodríguez Sala

Fecha: Martes 23 de febrero de 2021 a las 12:00 horas.

Lugar:  Online. PINCHA AQUÍ PARA ACCEDER

Abstract: A brief review of the state-of-the-art in music informatics research and deep learning reveals that such models achieved competitive results for several music-related tasks. In this talk I will provide insights in which deep learning architectures are (according to our experience) performing the best for audio classification. To this end, I will first introduce a review of the available front-ends (the part of the model that interacts with the input signal in order to map it into a latent-space) and back-ends (the part predicting the output given the representation obtained by the front-end). And finally, in order to discuss previously introduced front-ends and back-ends, I will present some cases we found throughout our path researching which deep learning architectures work best for music audio tagging.

Applications of unique continuation and Runge approximation for local and nonlocal PDEs

15 febrero, 2021
12:00 pm

Título:  Applications of unique continuation and Runge approximation for local and nonlocal PDEs

Ponente: María Ángeles García-Ferrero (Universidad de Heidelberg)

Organizador: Ángel Giménez

Fecha: Lunes 15 de febrero de 2021 a las 12:00 horas.

Lugar:  Online. PINCHA AQUÍ PARA ACCEDER

Abstract: Unique continuation and Runge approximation generalize well-known properties of holomorphic functions to solutions of more general PDEs. In this talk I will review some of these dual properties, comparing the case of local and nonlocal operators and including quantitative versions.
The relevance of these properties is rich and varied. We will see applications to inverse problems and to the prescription of qualitative properties of solutions to PDEs, such as the distribution of hot spots.

Assessing Corporate Social Responsibility Efficiency for the International Food and Beverage Manufacturing Industry

8 febrero, 2021
12:00 pm

Título:  Assessing Corporate Social Responsibility Efficiency for the International Food and Beverage Manufacturing Industry

Ponente: Magdalena Kapelko (Wroclaw University of Economics and Business, Department of Logistics, Poland)

Organizador: Juan Aparicio

Fecha: Lunes 8 de febrero de 2021 a las 12:00 horas. PINCHA AQUÍ PARA ACCEDER 

Lugar:  Online.

Abstract: One of the major challenges in the research on corporate social responsibility (CSR) is the aggregation of the CSR metrics into overall measures of CSR practices by firms. The paper computes composite indicators of CSR from an efficiency perspective using data envelopment analysis (DEA) for a sample of international food and beverage manufacturing firms over the period 2011-2018. The study’s contributions to the literature are twofold. First, this paper contributes by being the first to compare efficiency in CSR practices of food and beverage companies across regions of Europe, the United States and Canada, Latin America and Asia-Pacific. Second, methodologically we extend the composite indicators within DEA, allowing for non-convexities of the production set. The study finds a considerable potential for improvement in CSR practices as revealed by the values of CSR composite indicators. The study also shows the differences in CSR efficiency between food and beverage firms in the regions considered, with the most CSR efficient region being Latin America and Caribbean, and the least CSR efficient being firms in Asia-Pacific region. The CSR composite scores fluctuate over the analyzed period, with an increase in efficiency in 2018 experienced by all regions.

Decarbonization of the Chilean Power Sector: A Dynamic General Equilibrium Modeling Analysis

1 febrero, 2021
4:00 pm

Título:  Decarbonization of the Chilean Power Sector: A Dynamic General Equilibrium Modeling Analysis

Ponente: Shashiryar Nasirov (Universidad Adolfo Ibáñez, Santiago de Chile)

Organizador: Carlos Gutiérrez Hita

Fecha: Lunes 1 de febrero de 2021 a las 16:00 horas.

Lugar:  Online. PINCHA AQUÍ PARA ACCEDER

Abstract: A rapid expansion of renewables in the Chilean energy matrix, mostly thanks to exceptional solar and wind resources, combined with a rapid decrease in the cost of renewable energy technologies, intensified current policy debates to reduce the role of coal, which is the largest source of CO2 emissions in the generation mix. Recently, the main generation companies in Chile made a voluntary commitment to not invest in new coal projects that do not include carbon capture and storage systems. In addition, the Chilean government announced its plans to phase out coal plants completely by 2040. In this context, the aim of this research is to study the economy-wide and emission reduction impacts of different decarbonization paths in the Chilean power sector. For this purpose, we consider dynamic simulations using a new energy-oriented version of the Computable General Equilibrium Model (CGE)- General Equilibrium Model for the Chilean Economy (ECOGEM)-Chile which is soft linked to the bottom-up engineering energy model.