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Enabling Sustainable Agriculture with Data Science

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Hosted By
Mimi Z. and 3 others
Enabling Sustainable Agriculture with Data Science

Details

This is our first online event!
-Please note the different time of 5-6pm
-Access link will be sent to registrants before the event

We will hear from Patti Carroll and Pam Bachman at the Climate Corporation as they dive into sustainability efforts and a recent pilot study (https://www.climate.com/tech-at-climate-corp/how-digital-ag-enables-conservation-decisions)

Speakers:
Dr. Patricia Carroll, PhD is a Senior Data Scientist at the Climate Corporation. Patti fell in love with Data Science while studying Astronomy at the University of Washington. She joined Climate in 2016, where she developed Climate’s first crop disease models to enable seed placement and crop protection recommendations. Patti is passionate about data science for social good and was thrilled to join the newly formed Digital Ag & Sustainability team in 2019. She now leads new data-driven initiatives, leveraging our digital farming platform to reduce agriculture’s environmental footprint while continuing to feed a growing population.

Dr. Pamela Bachman, PhD has gained an international reputation in regards to the ecological impacts and risks of conventional and biotechnology-derived crop protection products. Pam's belief has been that partnerships across sectors are necessary to achieve outcomes related to ecological conservation, restoration, and sustainability. She has worked to find common ground across private sector, academia, NGOs, and government on issues related to pollinator conservation and biodiversity. The Science Sustainability Team under Pam is building a new program to use data science and develop digital tools to aid the agricultural community in adopting more sustainable practices aimed towards reducing the environmental impacts of farming including greenhouse gas emissions. Pam has been recognized as an advocate for diversity and inclusion in science and served as a resource for the visibility, development, and promotion for women and LGBTQIA+ individuals in the workplace.

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Data Science for Sustainability
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