Registration is now open for the sixth annual Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research! The virtual summit will take place 24-25 July 2025 10:00-14:00 EST (14:00-18:00 UTC) via zoom. Registration is free for everyone and will remain open until 14 July, but Zoom login information (link, password, etc.) will be emailed approximately one week in advance. 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/).
For the Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research (DSOS), we will host 10-minute talks from 16 presenters with Live Q&A sessions. We will also feature a “Careers in DSOS” 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.
In addition to the summit itself, we are pleased to partner 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. For each day of the “Hacking Limnology” workshop (AEMON-J workshop series), there will be a major theme: Mapping biodiversity indicator species using open data, River Velocimetry using Images from Aircraft, and Building and Running an Aquatic Ecosystem Model Ensemble in R. 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 teammates and initiate collaborations.
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 limnologists and oceanographers (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.