Are We at Risk of Losing the Current Generation of Climate Researchers to Data Science?
Climate model output has progressively increased in size over the past decades and is expected to continue to rise in the future. Consequently, the research time expended by Early Career Researchers (ECRs) on data-intensive activities is displacing the time spent in fostering novel scientific ideas...
| Autores: | , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/213072 |
| Acceso en línea: | http://hdl.handle.net/11336/213072 |
| Access Level: | acceso abierto |
| Palabra clave: | CLIMATE MODEL DATA CLIMATE RESEARCH CLIMATE SCIENCE CMIP EARLY CAREER RESEARCHERS https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
| Sumario: | Climate model output has progressively increased in size over the past decades and is expected to continue to rise in the future. Consequently, the research time expended by Early Career Researchers (ECRs) on data-intensive activities is displacing the time spent in fostering novel scientific ideas and expanding the frontiers of climate sciences. Here, we highlight an urgent need for a better balance between data-intensive and foundational climate science activities, more open-ended research opportunities that reinforce the scientific freedom of the ECRs, and strong coordinated action to provide infrastructure and resources to the ECRs working in under-resourced environments. |
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