Datos y digitalización del sector agropecuario

Episodio 67. Una conversación con Yanina Bellini

Building inclusive communities.

The idea of the panel was to share the experience of the growth of the R community in Latin America, so I made a time line with the last 5 years rescuing the most important milestones (of which I have been part as an organizer, as an assistant or enjoying them as a member of the community).

Gaps & Opportunities for Inclusive Multilingual Data Science

Panellists for this fireside chat come from diverse backgrounds and experiences across academia, industry and communities in research and data science where the translation aspect is one of their main focus areas. As members of multiple open sciences and research groups across the Global South and North, they will explore a range of questions and they will bring their combined perspectives as community builders, educators, trainers, researchers and engineers working on projects at both local and global scales.

Internal R packages for Open Science in Agrometeorology

Persentation of the Agromet and SIGA packages developed by INTA

Ciencia de datos aplicada al sector agropecuario

Esta charla la he dado en diversos ámbitos y con diferente nivel de detalle. El objetivo es introducir conceptos relacionados con la ciencia de datos y compartir aplicaciones con ejemplos concretos en el desarrollo de soluciones para el sector agropecuario. En esta oportunidad presenté: el paquete agromet, un ejemplo de aplicación de geotecnologías en la nube para emergencias agropecuarias, clasificación de Sistemas Productivos Preponderantes utilizando técnicas de agrupamiento y técnicas de análisis de redes sociales para estudiar la colaboración científica.