Published: June 13, 2019

Are you jazzed about using NEON data in your research? Do you want to connect with other NEON data users? Help us build a community at the NEON Science Summit! Earth Lab at the University of Colorado Boulder will be hosting a 3-day Summit to bring together NEON data users. Join us!

global network connections

When: October 15-17, 2019

Where: Sustainability, Energy and Environment Community (SEEC) Building, Room C120; University of Colorado Boulder, USA

The NEON Science Summit will convene current and prospective users of data from the National Ecological Observatory Network (NEON) to explore major questions that can be addressed at continental scales. At this workshop you will further your understanding of NEON data products and their potential use, connect with other NEON data users, and help drive questions in ecology and environmental science.

This meeting will be conducted in an ‘unconference style’ which is an alternative means of organizing meetings that allows participants to drive the agenda, creating substantial freedom in themes and approaches. Example themes include identifying plant species from space using NEON’s airborne observing platform data, exploring patterns of biodiversity across the U.S., tracking how climate change is affecting stream hydrology, and understanding nutrient cycling in forests at continental scales. The unconference will initiate new collaborative working groups that take research ideas beyond the scope of the Summit.

This workshop will be great for early careerists who are looking to expand their network to colleagues at other institutions working on similar research questions. We hope to get a diverse group of attendees at various career stages and from different institution types, disciplines, and backgrounds.

Please join us remotely for break-out working groups using NEON data and collaborating on continental-scale ecology frontiers real-time! All plenaries will be live-streamed and anyone can view these. 

Interested in getting started with NEON data? NEON's guide to getting started is available here or you can work through NEON's tutorial series. You can also check out a few of Earth Lab's tutorials that use NEON data: Extracting raster data or Exploring LiDAR data.


Tuesday October 15th (9 am - 5 pm)

  • 9:00 - 9:15 Welcome and Introductions (Jennifer Balch and university leadership)

  • 9:15 - 9:45 Plenary: What does NEON science look like in 10 years? (2 talks from community members)

  • 9:45 - 10:30 3-minute pitches for breakout sessions 

  • 10:30 - 10:45 Break and move to breakout rooms

  • 10:45 - 12:15 Break-out working group time - Block 1a

  • 12:15 - 1:15 Lunch

  • 1:15 - 3:15 Break-out working group time - Block 1b

  • 3:15 - 3:30 Break and return to main room

  • 3:30 - 4:15 Report back

  • 4:15 - 5:00 Impromptu 3-minute lightning talks (introduce yourself, your science, or your motivation for coming)

Wednesday October 16th (9 am - 5 pm)

  • 9:00 - 9:30 Day 2 instructions 

  • 9:30 - 10:00 Any new 3-minute pitches

  • 10:00 - 10:30 Break and move to breakout rooms

  • 10:30 - 12:15 Break-out working group time - Block 2a

  • 12:15 - 1:15 Lunch

  • 1:15 - 2:45 Break-out working group time - Block 2b

  • 2:45 - 3:00 Break and prep for afternoon activities

  • 3:00 - 5:00 Options: Tour of NEON, Pints of Science/Storytelling Science, hike

Thursday October 17th (9 am -12 pm)

  • 9:00 - 9:30 Report back

  • 9:30 - 10:15 Reflections from NSF and NEON 

  • 10:15 - 10:30 Break

  • 10:30 - 11:30 Sustaining a NEON Science Community 

  • 11:30 - 12:00 Synthesis & Wrap-up (Jennifer Balch)

Thursday October 17th (1 pm - 3 pm): optional tour at NEON

Please join us remotely for break-out working groups using NEON data and collaborating on continental-scale ecology frontiers real-time! We will have limited capacity for these as they will be highly interactive, so an application to participate remotely is required: (Please note that in-person attendance is already at capacity.)

Questions about the Summit? Contact Chelsea Nagy,

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