Grupo de trabajo SDDS

Dónde: Universidad de Alcalá, Alcalá de Henares, Madrid, España

Cuándo: 27-29 de noviembre de 2024

Los próximos días 27, 28 y 29 de noviembre de 2024, la Universidad de Alcalá (UAH) será sede del IX Congreso Universidad y Cooperación al Desarrollo: Nuevos Escenarios y Retos, que está organizado por las Universidades Públicas de Madrid, en colaboración con el Grupo de Trabajo de Cooperación de la Conferencia de Rectores de Universidades Españolas y el Observatorio de la Cooperación Universitaria al Desarrollo.

De este modo, se retoma el punto de encuentro bianual de las universidades españolas para afrontar los nuevos escenarios y retos de la cooperación universitaria, dentro del marco de actividades del Hub UAH Comprometida. En este Congreso se fomentará el diálogo para avanzar en propuestas e iniciativas dirigidas a contribuir a las transiciones justas que requiere el desarrollo sostenible, para ello se expondrán aportes científicos, reflexiones teóricas, visiones críticas y experiencias prácticas en terreno. 

La inscripción al Congreso y el plazo de envío de contribuciones (comunicaciones y pósteres) están abiertos hasta el 2 de octubre de 2024 y se puede realizar a través de la web

Dónde: Maryam Mirzakhani Seminar Room at BCAM & online

Cuándo: Miércoles, 11 de septiembre de 2024 12:00h

Conferenciante: Beñat Urrutia (BCAM Alumni)

Abstract:
This seminar will explore frameworks in Operational Research (OR), focusing on the evolution from Stochastic Programming (SO) to Distributionally Robust Optimization (DRO). DRO is a novel approach addressing the limitations of traditional SO and Robust Optimization (RO). Using a Facility Location Problem for Emergency Medical Services, Beñat will compare the efficiency and robustness of these methods.

About the Speaker:
Beñat Urrutia is a mathematics graduate from the University of the Basque Country and is completing his master’s degree in Mathematical Modeling, Research, Statistics, and Computing. He also completed a five-month internship at BCAM.

Zoom link

Dónde: Madrid

Cuándo: Octubre 3-4, 2024

The EURO Working Group on Humanitarian Operations and Universidad Carlos III de Madrid, Department of Business Administration are pleased to announce the 8th EURO HOpe Mini-Conference, which will be held in person in Madrid, Spain.

The aim of the mini-conference is to bring together researchers and professionals who develop and use operational research tools, techniques, and methodologies to help and improve humanitarian actions in an increasingly complex and dynamic world. Contributions are welcome on a broad range of topics within humanitarian operations, including but not limited to disaster preparedness and response, refugee crises, conflicts, pandemic response, sustainability, as well as creative and critical reflections.

Más información

Dónde: Luso, Portugal.

Cuándo: 1-4 Octubre de 2024

The conference location is in a landmark Portuguese forest (Mata do Bussaco, a managed forest since the XVII century) in the center of Portugal, a region that was tragically devastated by wildfires in 2017.

We believe the conference, with the support of the Portuguese Foundation for Science and Technology through project O3F – An Optimization Framework to reduce Forest Fire (https://o3f.dps.uminho.pt), will result in a vision of the state-of-the-art and the identification of emergent topics in O&W, affirming the relevance and potential of Operational Research, Optimization and related areas in wildfire management.

The deadline for the submission of abstracts (max 1500 characters) is May 31st, 2024.

Más información

Within the upcoming 2024 Decision Science Alliance International Summer Conference (DSA), scheduled for June 6-7, 2024, at the Universitat Politècnica de València, Spain, there is a track on «Decision Science in Healthcare and Hospitals«

This conference brings together international experts from industry and academia in fields such as Operations Research, Business Analytics, Artificial Intelligence, and Data Science, among other areas related to Decision Science.

The conference welcomes full papers (14-15 pages), short papers (6-7 pages), and abstracts (1-3 pages). Accepted papers, following a peer-review process, will be published in Lecture Notes in Computer Science (Springer, indexed in Scopus). Special issues in indexed journals are also being arranged to publish extended versions of the best works.

If anyone is interested in participating or has any questions about this track, please contact professor Fermín Mallor directly at mallor@unavarra.es.  The organizers are finalizing the setup of Springer’s EquinOCS submission system (similar to EasyChair). It will be ready within the next two weeks, and the submission link will be available on the conference website. The paper must use the Springer LNCS template.

Key Dates:

• Initial submission deadline for full/short papers: February 29
• Reviewer feedback: March 20
• Deadline for the final version of papers: April 15 (strict deadline)
• Early bird registration: April 30 (strict deadline)

La universidad del País Vasco organiza una conferencia sobre servicios de emergencia, impartida por Isabel Wiemer.

Resumen:

Site planning for emergency medical services (EMS) is essential to ensure a rapid and efficient response to emergencies. This strategic decision includes selection of sites, their capacities, and allocation of ambulances to chosen sites. In practice, a variety of different uncertainties have to be taken into account, like response times, emergency demand, and ambulance busyness are not precisely known. For the sake of simplicity, these uncertainties are often neglected in EMS location planning models, which may lead to undesired discrepancies between modeled coverage and reality.
Therefore, we propose to model EMS location planning under consideration of different uncertainty aspects. To this aim, we extend a recent stochastic EMS location planning model, which models expected coverage while maintaining a linear formulation. To evaluate the model’s applicability, we conduct a real-world case study and perform a discrete event simulation for the city of Duisburg with one year of historical emergency data. Duisburg is located in the Metropolitan Region Ruhr in Germany with about 0.5 million inhabitants. Preliminary results show that expected coverage can be modeled more realistically by acknowledging various uncertainty aspects in EMS location planning. At the same time, computational complexity is low enough to maintain solution quality. We examine different numbers of site locations and ambulance allocations and their influence on expected coverage and response times. Therefore, we provide decision support to the EMS providers in Duisburg

La conferencia será transmitida por ZOOM. Link para la conferencia y más información.