Skip to main content
NSF NEON, Operated by Battelle

Main navigation

  • About
    • NEON Overview
      • Vision and Management
      • Spatial and Temporal Design
      • History
    • About the NEON Biorepository
      • ASU Biorepository Staff
      • Contact the NEON Biorepository
    • Observatory Blog
    • Newsletters
    • Staff
    • FAQ
    • Contact Us

    About

  • Data
    • Data Portal
      • Data Availability Charts
      • API & GraphQL
      • Prototype Data
      • Externally Hosted Data
    • Data Collection Methods
      • Airborne Observation Platform (AOP)
      • Instrument System (IS)
        • Instrumented Collection Types
        • Aquatic Instrument System (AIS)
        • Terrestrial Instrument System (TIS)
      • Observational System (OS)
        • Observation Types
        • Observational Sampling Design
        • Sampling Schedules
        • Taxonomic Lists Used by Field Staff
        • Optimizing the Observational Sampling Designs
      • Protocols & Standardized Methods
    • Getting Started with NEON Data
      • neonUtilities for R and Python
      • Learning Hub
      • Code Hub
    • Using Data
      • Data Formats and Conventions
      • Released, Provisional, and Revised Data
      • Data Product Bundles
      • Usage Policies
      • Acknowledging and Citing NEON
      • Publishing Research Outputs
    • Data Notifications
    • NEON Data Management
      • Data Availability
      • Data Processing
      • Data Quality

    Data

  • Samples & Specimens
    • Biorepository Sample Portal at ASU
    • About Samples
      • Sample Types
      • Sample Repositories
      • Megapit and Distributed Initial Characterization Soil Archives
    • Finding and Accessing Sample Data
      • Species Checklists
      • Sample Explorer - Relationships and Data
      • Biorepository API
    • Requesting and Using Samples
      • Loans & Archival Requests
      • Usage Policies

    Samples & Specimens

  • Field Sites
    • Field Site Map and Info
    • Spatial Layers & Printable Maps

    Field Sites

  • Resources
    • Getting Started with NEON Data
    • Research Support Services
      • Field Site Coordination
      • Letters of Support
      • Mobile Deployment Platforms
      • Permits and Permissions
      • AOP Flight Campaigns
      • Research Support FAQs
      • Research Support Projects
    • Code Hub
      • neonUtilities for R and Python
      • Code Resources Guidelines
      • Code Resources Submission
      • NEON's GitHub Organization Homepage
    • Learning Hub
      • Tutorials
      • Workshops & Courses
      • Science Videos
      • Teaching Modules
    • Science Seminars and Data Skills Webinars
    • Document Library
    • Funding Opportunities

    Resources

  • Impact
    • Research Highlights
    • Papers & Publications
    • NEON in the News

    Impact

  • Get Involved
    • Upcoming Events
    • Research and Collaborations
      • Environmental Data Science Innovation and Inclusion Lab
      • Collaboration with DOE BER User Facilities and Programs
      • EFI-NEON Ecological Forecasting Challenge
      • NEON Great Lakes User Group
      • NCAR-NEON-Community Collaborations
    • Advisory Groups
      • Science, Technology & Education Advisory Committee
      • Technical Working Groups
    • NEON Ambassador Program
      • Exploring NEON-Derived Data Products Workshop Series
    • Partnerships
    • Community Engagement
    • Work Opportunities

    Get Involved

  • My Account
  • Search

Search

Get Involved

  • Upcoming Events
  • Research and Collaborations
  • Advisory Groups
  • NEON Ambassador Program
  • Partnerships
  • Community Engagement
  • Work Opportunities

Breadcrumb

  1. Get Involved
  2. Upcoming Events
  3. Hacking Limnology 2023

Event - Workshop

Hacking Limnology 2023

Jul 24 - 28 2023 | All day

"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 2020 Virtual Summit, the 2021 Virtual Summit, and the 2022 Virtual Summit in their respective L&O Bulletin Meeting Highlights pieces."

 

Learn more on the workshop and summit webpage: https://aquaticdatasciopensci.github.io/

Location:

TBD

NSF NEON, Operated by Battelle

Follow Us:

Join Our Newsletter

Get updates on events, opportunities, and how NEON is being used today.

Subscribe Now

Footer

  • About Us
  • Contact Us
  • Terms & Conditions
  • Careers
  • Code of Conduct

Copyright © Battelle, 2026

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

Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.