Third annual “Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research”!
“Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research”!
The virtual summit will take place 28-29 July 2022 13:00-17:00 EDT via zoom. Registration is free for everyone and will remain open until 27 July, but zoom login information (link, password, etc.) will be emailed on 19 and 27 July. The link to registration can be found here (https://aquaticdatasciopensci.github.io/registration/), and the schedule can be found here (https://aquaticdatasciopensci.github.io/program_2/).
The summit will host 10 minute talks from 21 presenters with Live Q&A sessions as well as live panels — one focused on bringing together folks experienced in harmonizing disparate data sources as well as one focused on careers in data science and open science. While the summit has four major themes (Big Data, Data Intensive Models, Tools and Software in Open Science, and Applications of Open Science)l, the summit is broadly intended to bring together diverse, energetic folks who are passionate to share how they bring data science and open science into their research.
In addition to the summit itself, we are pleased to partner yet again with AEMON-J (Aquatic Ecosystem Modeling), who will host a “Hacking Limnology” workshop for hands-on training in the fields of Data Science and Open Science. The workshop will have three main themes: Remote Sensing, Data Science tools, and Aquatic Ecosystem Modeling (https://aquaticdatasciopensci.github.io/program_1/). You can register for both the workshop and virtual summit within the same registration form.
We would greatly appreciate sharing information about the virtual summit with your department, collaborator networks, and (under)graduate students.
For those who may be curious but less familiar, data science combines mathematics and statistics, computer science, and domain expertise to enable prediction and insight for problems that are otherwise too computationally demanding or data-intensive to be analyzed with traditional tools. Open Science is the practice of making tools that enable transparency into scientific design, analysis, and reporting, such that future researchers — and curious individuals in general — can access and reproduce others’ work. By bringing together speakers who practice data science and open science techniques, this virtual summit is intended to discuss how aquatic researchers (1) work with big data, (2) develop new modeling frameworks, (3) develop tools and software for the larger community, and (4) apply their work for natural resource management and monitoring purposes.
If you have any questions, please feel free to contact the summit’s co-conveners (names and emails below).
Carol Barbosa (firstname.lastname@example.org)
Soner Borecki (email@example.com)
Kaelin Cawley (firstname.lastname@example.org)
Alli Cramer (email@example.com)
Robert Ladwig (firstname.lastname@example.org)
Michael Meyer (email@example.com)
Bella Oleksy (firstname.lastname@example.org)
Jake Zwart (email@example.com)