The 2025 Emerging Technologies Information Sessions Webinar Series has concluded. If you missed this virtual event, you can still watch the recordings on the PNAMP YouTube channel. You can also access the recordings from the “Past Events” section below.
The webinar series had more than 150 attendees from dozens of agencies and organizations from all over the world. Additionally, the recordings have been viewed more than 700 times as of November 2025.
Upcoming Events
Past Events
- February 5, 2025: Remote Sensing Session – 2025 ETIS Webinar Series
- January 29, 2025: Genetics Session – 2025 ETIS Webinar Series
- January 22, 2025: Data QA/QC Session – 2025 ETIS Webinar Series
- January 15, 2025: Artificial Intelligence and Machine Learning Session – 2025 ETIS Webinar Series
- January 8, 2025: Modeling and Analysis Session – 2025 ETIS Webinar Series
- November 14 – November 16, 2022: Emerging Technologies Information Sessions (ETIS) 2022 Hybrid Event
- February 11 – February 25, 2021: Data Management Session – ETIS 2020/21 Webinar Series
- January 07 – January 28, 2021: Fish Monitoring and Assessment Session – ETIS 2020/21 Webinar Series
- November 03 – November 17, 2020: eDNA Session – ETIS 2020/21 Webinar Series
- October 06 – October 20, 2020: Aerial Monitoring of Aquatic Systems Session – ETIS 2020/21 Webinar Series
Related Documents
| File | Description | File Date |
|---|---|---|
| Exhibitor and Sponsor Information 2026 ETIS | Information on becoming an exhibitor or sponsor for the 2026 Emerging Technologies Information Sessions (ETIS) in-person event at Skamania Lodge in Stevenson, Washington. | 2026-02-27 |
| 2026 ETIS Invitation and Information | Information on the 2026 Emerging Technologies Information Sessions (ETIS) in-person event | 2026-04-08 |
| ETIS 2025 Modeling and Analysis Session – Ben Staton GitHub-v2 – Slide Deck | An Overview of GitHub for Data Analysis Projects by Ben Staton - Slide Deck | 2025-01-08 |
| ETIS 2025 Modeling and Analysis – Missing Salmon Alliance – Utilizing R Shiny | Utilizing R Shiny Within the Likely Suspects Framework by Graeme Diack, Jon Emery, Colin Bull - Slide Deck | 2025-01-08 |
| ETIS 2025 Modeling and Analysis – Caitlin Magel – QNM+PSIMF | Models facilitate comparison of the social-ecological tradeoffs among Puget Sound management alternatives by Caitlin Magel - Slide Deck | 2025-01-08 |
| Exploring monitoring methods using text clustering and LLM_ Bird Doan | Slide Deck - Emerging Technologies AI/ML presentation from Minh Doan and Tomas Bird - Streamlining Data Exploration with LLMs | 2025-01-17 |
| 2025 ETIS Webinar Series Program v2.0 | Program for the 2025 Emerging Technologies Information Sessions (ETIS) Webinar Series | 2025-01-15 |
| 2025 ETIS Webinar Series Program v3.0 | The Emerging Technologies Information Sessions (ETIS) 2025 Webinar Series Program with presentation titles and abstracts | 2025-01-20 |
| ETIS Data QA/QC Presentation Justin Welty | Slide Deck - Enabling real time data collection, quality control, reporting, and visualization to enhance field data collection across the west | 2025-01-22 |
| Data QC using Survey 123 and ArcGIS enterprise | Slide Deck - Data QA QC for Spawning Ground Surveys Using Survey 123 and ArcGIS Enterprise - Brock Lipple (IDFG) | 2025-01-24 |
| UI Design for Better QA QC – ETIS Presentation | Slide Deck - UI Design for better QA/QC - Chris Harrington (IDFG) | 2025-01-24 |
| ETIS 2022 at a glance | Emerging Technologies Information Sessions (ETIS) 2022 Hybrid Event At a Glance Schedule. Last updated November 8, 2022 | 2022-11-08 |
Project Team
This project is co-sponsored by PNAMP and the Pacific States Marine Fisheries Commission (PSMFC) StreamNet Project. If you have any questions about upcoming or past events, please reach out to a member of our planning committee: Sam Cimino (scimino@usgs.gov), Mari Williams (mwilliams@psmfc.org), Denise Kelsey (keld@critfc.org), Lara Erikson (lerikson@psmfc.org), Amy Puls (apuls@usgs.gov), Evan Brown (evan.brown@idfg.idaho.gov), Allan Martin (dmartin@psmfc.org), Megan Dethloff (mdethloff@usgs.gov), Kasey Bliesner (kasey.bliesner@odfw.oregon.gov), Jen Bayer (jbayer@usgs.gov), or Nancy Leonard (nleonard@psmfc.org).