Are We at Risk of Losing the Current Generation of Climate Researchers to Data Science?
Abstract 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 scientif...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-08-01
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| Series: | AGU Advances |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2022AV000676 |
| _version_ | 1811189092199694336 |
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| author | Shipra Jain Julia Mindlin Gerbrand Koren Carla Gulizia Claudia Steadman Gaby S. Langendijk Marisol Osman Muhammad A. Abid Yuhan Rao Valentina Rabanal |
| author_facet | Shipra Jain Julia Mindlin Gerbrand Koren Carla Gulizia Claudia Steadman Gaby S. Langendijk Marisol Osman Muhammad A. Abid Yuhan Rao Valentina Rabanal |
| author_sort | Shipra Jain |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-11T14:30:06Z |
| format | Article |
| id | doaj.art-95e5eb7e052741518cfa0bbacfd33dca |
| institution | Directory Open Access Journal |
| issn | 2576-604X |
| language | English |
| last_indexed | 2024-04-11T14:30:06Z |
| publishDate | 2022-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | AGU Advances |
| spelling | doaj.art-95e5eb7e052741518cfa0bbacfd33dca2022-12-22T04:18:40ZengWileyAGU Advances2576-604X2022-08-0134n/an/a10.1029/2022AV000676Are We at Risk of Losing the Current Generation of Climate Researchers to Data Science?Shipra Jain0Julia Mindlin1Gerbrand Koren2Carla Gulizia3Claudia Steadman4Gaby S. Langendijk5Marisol Osman6Muhammad A. Abid7Yuhan Rao8Valentina Rabanal9School of Geosciences The University of Edinburgh Edinburgh UKUniversidad de Buenos Aires Facultad de Ciencias Exactas y Naturales Departamento de Ciencias de la Atmósfera y los Océanos CONICET – Universidad de Buenos Aires Centro de Investigaciones del Mar y la Atmósfera (CIMA) CNRS – IRD – CONICET – UBA Instituto Franco‐Argentino para el Estudio del Clima y sus Impactos (IRL 3351 IFAECI) Buenos Aires ArgentinaCopernicus Institute of Sustainable Development Utrecht University Utrecht The NetherlandsUniversidad de Buenos Aires Facultad de Ciencias Exactas y Naturales Departamento de Ciencias de la Atmósfera y los Océanos CONICET – Universidad de Buenos Aires Centro de Investigaciones del Mar y la Atmósfera (CIMA) CNRS – IRD – CONICET – UBA Instituto Franco‐Argentino para el Estudio del Clima y sus Impactos (IRL 3351 IFAECI) Buenos Aires ArgentinaSchool of Geosciences The University of Edinburgh Edinburgh UKClimate Service Center Germany (GERICS) Helmholtz‐Zentrum Hereon Hamburg GermanyUniversidad de Buenos Aires Facultad de Ciencias Exactas y Naturales Departamento de Ciencias de la Atmósfera y los Océanos CONICET – Universidad de Buenos Aires Centro de Investigaciones del Mar y la Atmósfera (CIMA) CNRS – IRD – CONICET – UBA Instituto Franco‐Argentino para el Estudio del Clima y sus Impactos (IRL 3351 IFAECI) Buenos Aires ArgentinaEarth System Physics The Abdus Salam International Centre for Theoretical Physics (ICTP) Trieste ItalyNorth Carolina Institute for Climate Studies North Carolina State University Asheville NC USAServicio Meteorológico Nacional (SMN) Buenos Aires ArgentinaAbstract 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.https://doi.org/10.1029/2022AV000676climate model dataearly career researchersCMIPclimate scienceclimate research |
| spellingShingle | Shipra Jain Julia Mindlin Gerbrand Koren Carla Gulizia Claudia Steadman Gaby S. Langendijk Marisol Osman Muhammad A. Abid Yuhan Rao Valentina Rabanal Are We at Risk of Losing the Current Generation of Climate Researchers to Data Science? AGU Advances climate model data early career researchers CMIP climate science climate research |
| title | Are We at Risk of Losing the Current Generation of Climate Researchers to Data Science? |
| title_full | Are We at Risk of Losing the Current Generation of Climate Researchers to Data Science? |
| title_fullStr | Are We at Risk of Losing the Current Generation of Climate Researchers to Data Science? |
| title_full_unstemmed | Are We at Risk of Losing the Current Generation of Climate Researchers to Data Science? |
| title_short | Are We at Risk of Losing the Current Generation of Climate Researchers to Data Science? |
| title_sort | are we at risk of losing the current generation of climate researchers to data science |
| topic | climate model data early career researchers CMIP climate science climate research |
| url | https://doi.org/10.1029/2022AV000676 |
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