We welcome Jonathan Juárez Pelcastre from the Colegio de Postgraduados (COLPOS), Montecillos Campus (Texcoco, Mexico). Jonathan will be part of our team for the next three months as part of a research stay within his doctoral studies.

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El Grupo de Sistemas de Información Avanzados y el Instituto de Investigación en Ingeniería de Aragón abren la convocatoria para los premios a los trabajos de fin de estudios defendidos en cualquier universidad española entre el 1 de enero de 2025 y el 31 de diciembre de 2025 que más aporten al desarrollo y explotación de datos abiertos o datos geográficos.

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Geospatial search engines are an essential component of spatial data infrastructures and enable a broad spectrum of environmental applications. The back-end implementation of these search engines has evolved from traditional text-based information retrieval systems into more specialised search engines. However, to assess the actual improvement brought by this evolution, thorough testing is needed.

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Open Government Data (OGD) portals aim to enhance accountability and transparency by serving as central access points for all government data at local, regional and national levels. To enhance user engagement with OGD portals, it is essential to understand the feedback mechanisms of open data portals and how they can be used to evaluate the data quality and the effectiveness of user engagement. While existing research highlights the importance of feedback in OGD portals, it mainly focuses on the flow from users to data publishers through input channels.

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The volatility of corn prices poses a significant challenge for both producers and policymakers. This study proposes a hybrid model that combines Extreme Gradient Boosting (XGBoost) and Light Gradient Boosting Machine (LightGBM), optimized through Particle Swarm Optimization with Cuckoo Search (PSO-CS), for accurate corn price forecasting.

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