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  3. Hacking Limnology 2023

Event - Workshop

Hacking Limnology 2023

Jul 24-28, 2023

"The grass-root network DSOS (Data Science and Open Science) and AEMON-J (Aquatic Ecosystem MOdeling Network - Junior) are joining forces this year to organize a 3rd 'Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research' that includes fascinating presentations about aquatic research including open data and open science approaches, and multiple days of exciting workshops that include state-of-the-art keynote talks with live hands-on coding exercises.

AEMON-J "Hacking Limnology" Workshop Series

For each day of the "Hacking Limnology" workshop (AEMON-J workshop series), there will be a major theme (e.g., big data, remote sensing, machine learning, and numerical modeling). The general schedule for each day will include a keynote presentation followed by a live Q&A session. The majority of the time will be dedicated to a hands-on coding workshop, where attendees will gain experience in each of the three main themes. Lastly, each day will end with the heart of any AEMON-J meeting: a break-out group format, which will be geared towards spurring new research projects and ideas. Here, we want to engage everybody to find new team mates and initiate collaborations.

DSOS Virtual Summit

For the Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research (DSOS), we will host 10 minute talks from 20 presenters with Live Q&A sessions. Additionally, this year's summit will future a "Careers in Data Science and Open Science" panel and an "Operationalizing Interoperability" panel. The summit is intended to bring together diverse, energetic folks who are passionate to share how they bring data science and open science into their research. To get an idea of how the summit will run, you can read about , the , and the  in their respective L&O Bulletin Meeting Highlights pieces."

 

Learn more on the workshop and summit webpage: 

Location:

TBD

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The National Ecological Observatory Network is a major facility fully funded by the U.S. National Science Foundation.

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