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The NASA DEVELOP Model of Community Science & Engagement: Localizing Earth Science Information

The NASA DEVELOP Program conducts 10 week feasibility studies that apply Earth observation data to address community priorities and support informed decision making. Part of NASA’s Earth Action Capacity Building Program, DEVELOP builds skills in both participants ( recent graduates, and early/transitioning career professionals), who work on small interdisciplinary project teams, and partner organizations (state and local governments, federal agencies, non profit and for profit organizations, universities, and international organizations) that work closely with DEVELOP to design the project. Projects address a wide variety of environmental issues, such as disaster risk and resilience, air pollution, and the impact of urban development, with a growing number of projects exploring how satellite data can help inform decision making around environmental injustices. A subset of DEVELOP partner organizations are local municipalities or community led non profits, with the co production model serving as an effective engagement tool and an introduction for communities to engage in Earth science research and become familiar with satellite remote sensing. This presentation will highlight the DEVELOP co production model, community project use cases, and lessons learned in partnering with local communities.

Michael Pazmino↗

Diversity, Equity, Inclusion and Accessibility Initiatives on the Mars 2020 Science Team and Implications for NASA Planetary Science Missions

For the first time, the most recent NASA Decadal Survey for Planetary Science and Astrobiology includes an entire chapter devoted to the state of the profession[1]. Understanding that people are NASA’s greatest resource, it specifically looked into is-sues of Diversity, Equity, Inclusion, and Accessibility (DEIA) to make recommendations for recruiting and retaining the best talent. It calls on both NASA leadership and the NASA community to engage with these recommendations to advance the state of the profession.

DEIA↗

Rover traverse science for increased mission science return

In this paper, we will describe out methods for the prioritization of geologic data acquired by an in-situ rover. Our techniques are applicable to a wide range of data modalites, however out initial demonstration is focused on image analysis, as images consume a large volume of the downlink bandwidth for such missions.

data prioritization↗