[ESIP-all] Fwd: FARR Reproducibility Webinar [12/05, 9am PT] - Embracing open science principles to improve reproducibility in Environmental Data Science

[Yuhan Douglas Rao]

Hi all,

FAIR in ML, AI-Readiness, and Reproducibility Research Coordination Network
(FARR RCN, https://farr-rcn.org) is hosting its next reproducibility
webinar with Dr. Alejandro Coca-Castro at The Alan Turing Institute. Please
find the details below.

Best,
-Douglas

*Embracing open science principles to improve reproducibility in
> Environmental Data Science*
> *When: *December 5, 2023 at 9am Pacific time (*Register now*
> <https://farr-rcn.us8.list-manage.com/track/click?u=c67c67a4467f99ee04d80b0e1&id=3c51ab9f05&e=e0955569d0>
> )

*Speaker: *Alejandro Coca-Castro, Research Fellow at The Alan Turing
> Institute

*Abstract: *Transparency and reproducibility are crucial in establishing
> trust in computational research. This presentation explores the concept of
> reproducibility in Environmental Data Science, encompassing its definition,
> challenges, and community-driven solutions. It highlights the 2023 Climate
> Informatics Reproducibility Challenge. Guided by the principles of open
> science, international teams successfully replicated key findings from a
> paper in the Environmental Data Science journal, with the aim of
> integrating their work into the gallery of computational notebooks of the
> Environmental Data Science book (EDS book),
> <https://farr-rcn.us8.list-manage.com/track/click?u=c67c67a4467f99ee04d80b0e1&id=e80fa8ec34&e=e0955569d0>
> *www.edsbook.org*
> <https://farr-rcn.us8.list-manage.com/track/click?u=c67c67a4467f99ee04d80b0e1&id=fb0b6178f3&e=e0955569d0>.
> The challenge featured expert lectures, personalized support, and
> networking opportunities. The winning and runner-up notebooks are now part
> of the EDS book, offering valuable insights into the challenges faced when
> reproducing computational results in environmental science. Join us on this
> engaging experience into the world of open science, reproducibility, and
> cutting-edge research in Environmental Science.

*Bio: *Alejandro (he/him) is a Research Fellow at The Alan Turing
> Institute. He holds a Ph.D. in Physical Geography and an M.Sc. in
> Environmental Monitoring, Modelling, and Management from King’s College
> London. With over 11 years of experience, he specializes in applying
> artificial intelligence and data science to Earth Systems, Agricultural,
> and Environmental sciences. His primary research centers on using
> artificial intelligence and data science to model Earth systems and
> environmental phenomena. Currently, he’s exploring probabilistic
> data-driven models to merge data from various sources for environmental and
> climate predictions. Beyond research, Alejandro is a leader in open science
> education and open-source development. He founded the Environmental Data
> Science book, a community promoting open-source software, reproducibility,
> and collaborative research in environmental science. He is also a core
> member of the Turing Way and a topic editor at the Journal of Open Source
> Education (JOSE).



-- 
[image: NCICS] <http://ncics.org/> Yuhan (Douglas) Rao
*Research Scientist*
Pronoun <https://www.mypronouns.org/what-and-why/>: he/him/his
North Carolina State University <http://ncsu.edu/>
North Carolina Institute for Climate Studies (NCICS) <https://ncics.org/>
151 Patton Ave, Asheville, NC 28801
e: yrao5 at ncsu.edu
o: +1 828 271 4903
Schedule a meeting with me <https://calendly.com/douglas_rao>*I choose
to work on a flexible schedule and across a number of time zones. My
apologies for sending emails outside of your working hours.*
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