Early-career scientists from the AGU Mentoring Network discuss how the global pandemic has exacerbated long-standing issues with the availability of positions in and the diversity of the geosciences.
Opinions
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How Scientists Can Engage to Solve the Climate Crisis
Policymakers need scientists. Here’s how one geoscientist contributed to a U.S. congressional report that’s already churning out legislation—and real action.
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Disseminating Scientific Results in the Age of Rapid Communication
Modernizing the peer review process and clarifying how to use and understand open data are two essential ways to make sure our science is accurate and accurately presented.
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Raising Our Voices for Diversity in the Geosciences
To achieve the goals in their aspirational diversity statements, organizations must actively recruit, mentor, and support scientists from every sector of society.
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Caption This! Best Practices for Live Captioning Presentations
We demonstrate the effectiveness of straightforward strategies using widely available auto-captioning tools to greatly improve accessibility of jargon-rich content.
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Implications of Sea Ice Management for Arctic Biogeochemistry
Geoengineering strategies to slow sea ice melting would affect not only Earth’s climate but also the biology and chemistry of the oceans, atmosphere, and ice.
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Demystifying Critical Zone Science to Make It More Inclusive
A new network that embraces scientists with wide-ranging experiences and expertise aims to solve the challenges of Earth’s critical zone.
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Perspectives on Parenting While Researching (During a Pandemic)
Four Earth scientists and a psychologist reflect on balancing parenthood and professional careers in academia amid the COVID-19 pandemic.
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Engaging Communities in Geoscience with STEM Learning Ecosystems
Geo-STEM learning ecosystems can empower community-based solutions and broaden participation in the geosciences by connecting diverse participants who contribute unique skill sets and ways of knowing.
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Earth System Modeling Must Become More Energy Efficient
As weather and climate models grow larger and more data intensive, the amount of energy needed to run them continues to increase. Are researchers doing enough to minimize the carbon footprint of their computing?