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Presentation . 2021
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Presentation . 2021
License: CC BY
Data sources: Datacite
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Biosystems Analytics Lab

Authors: Nelson, Natalie;

Biosystems Analytics Lab

Abstract

Nelson, Assistant Professor in the College of Agriculture and Life Sciences, was a panelist on the Natural Hazards and Disasters Resilient Design Panel, and discussed the Biosystems Analytics Lab (of which she is lead PI) and the work the lab has been doing in relation to disaster resilience. The Biosystems Lab uses environmental agricultural data for systems management and predictive modeling of agricultural systems using machine learning approaches. Nelson highlighted some of the research graduate students are doing with the lab and emphasized how the lab uses environmental monitoring data to advance understanding of environmental systems and they respond to change. Research challenges the lab addresses includes establishing baselines; essentially how an environmental system behaved prior to a natural disaster; and utilizes proactive monitoring. Nelson concluded the presentation by identifying an opportunity to overcoming challenges to sufficient monitoring by using digital infrastructure and education for data literacy to expand monitoring within communities.

Keywords

climate change, https://zenodo.org/search?q=subject.term%3A%22Climate+Change%22, https://zenodo.org/search?q=subject.term%3A%22climate+change%22, community engagement, climate, resilience

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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