[CODATA-international] CRDF and CODATA Podcast Series: Open Geo AI, new episode-6 available!

[Asha CODATA]

Join us for a captivating conversation in episode 6 of the podcast series
“Open Geo AI: Unveiling Satellite Insights through Open Data.”
Episode 6 – Innovations in Geo AI: Case Studies and Success Stories

In this podcast on Innovations in Geo AI: Case Studies and Success Stories,
Tao Wen and Carl Boettiger shares real-life success stories at the
intersection of open data, AI, and satellite information. From ML models
for land-water systems to open science initiatives, explore how diverse
sectors leverage time series models, R environments, and NASA’s Open
Scripts project on AWS Cloud for transformative decision-making.

Tao Wen is an Assistant Professor in the Department of Earth and
Environmental Sciences at Syracuse University. His research interests span
from Geochemistry, Environmental Data Science, and Hydrogeology. He joined
Syracuse University in 2020 after a postdoctoral study 2017-2020 at Penn
State University and finishing his Ph.D. in geology in 2017 at the
University of Michigan. He received a B.S. in Environmental Sciences in
2011 from the University of Science and Technology of China.

Tao Wen is a geochemist with additional expertise in data sciences driven
by a research interest in the interface between humankind and the water
cycle. His team uses field-based and geochemical laboratory-based
approaches (e.g., noble gases, stable isotopes, and water chemistry) to
shed light on the environmental implications of human activities on water
resources. His team also develops and applies data science tools to explore
the spatiotemporal patterns of coupled water and element cycles at various
scales in the coupled natural and human systems.

Carl Boettiger works on problems in ecological forecasting and decision
making under uncertainty, with applications for global change, conservation
and natural resource management. I am particularly interested in how we can
predict or manage ecological systems that may experience regime shifts:
sudden and dramatic changes that challenge both our models and available
data. The rapid expansion in both computational power and the available
ecological and environmental data enables and requires new mathematical,
statistical and computational approaches to these questions. Ecology has
much to learn about what are and are not useful from advances in
informatics & computer science, just as it has from statistics and
mathematics. Traditional approaches to ecological modeling and resource
management such as stochastic dynamic systems, Bayesian inference, and
optimal control theory must be adapted both to take advantage of all
available data while also dealing with its imperfections. My approach
blends ecological theory with the synthesis of heterogeneous data and the
development of software — a combination now recognized as data science.

https://crdf.org.in/podcast/open-geo-ai-unveiling-satellite-insights-through-open-data

Watch all episodes here:
https://codata.org/initiatives/data-skills/codata-connect/open-geo-ai-unveiling-satellite-insights-through-open-data-podcast-series/

Thanks,
Asha
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___________________________

Asha Law | Program Assistant, CODATA | http://www.codata.org

E-Mail: asha at codata.org
Tel (Office): +33 1 45 25 04 96

CODATA (Committee on Data of the International Science Council), 5 rue
Auguste Vacquerie, 75016 Paris, FRANCE
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