Meta-analysis in Ecology

Meta-analysis in Ecology

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Name: Meta-analysis in Ecology
Start: 2025-04-10 14:00
End: 2025-04-10 15:30

Posted by sandra on March 18, 2025

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04/10/2025 2:00 PM - 3:30 PM

https://eservices.esa.org/ProductDetail?iProductCode=WK250410

Ecological Society of America

Phone: 202-833-8773

Website: https://esa.org

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Tips and Tricks for a Successful Poster Presentation

04/02/2025 12:00 PM - 04/02/2025 1:30 PM

No additional details for this event.
Understanding eDNA: Transforming Biodiversity Monitoring

04/16/2025 2:00 PM - 04/16/2025 3:00 PM

No additional details for this event.
Spring Stewardship Workshop

04/25/2025 9:00 AM - 04/25/2025 3:30 PM

April 25, 2025 (9:00 AM-3:30 PM)
Communicating Science to Decision Makers

04/29/2025 2:00 PM - 04/29/2025 3:30 PM

No additional details for this event.
Ecological Spatial Statistics

05/22/2025 2:00 PM - 05/22/2025 3:30 PM

No additional details for this event.
Introduction to Individual-based Modeling in Ecology

06/26/2025 2:00 PM - 06/26/2025 3:30 PM

No additional details for this event.
Machine-learning Methods for Ecologists

07/17/2025 2:00 PM - 07/17/2025 3:30 PM

No additional details for this event.

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3

EFI-ESA Stats Seminar: Computer vision and biodiversity monitoring
12:00 PM-1:00 PM
03/03/2025
Ecological Forecasting Initiative
https://notredame.zoom.us/webinar/register/WN_rBy9nS34TyOb-Db8eLpCwA#/registration
This Statistical Methods seminar by the Ecological Forecasting Initiative and the Ecological Society of America Statistical Ecology Section is hosting Sara Beery and Timm Haucke (Massachusetts Institute of Technology) to talk about Computer Vision and Biodiversity Monitoring. This presentation will focus on Python code

11

NEON Science Seminar: Making the most of available data: How integrated modeling can expand the usability of individual data sources
2:00 PM-3:00 PM
03/11/2025
NEON
https://www.neonscience.org/get-involved/events/science-seminar-making-most-available-data-how-integrated-modeling-can-expand
No additional detail for this event.

12

Plants to Populations: Predicting Diet Quality and Nutrient Intake of Deer from Forage Metrics
2:00 PM-3:00 PM
03/12/2025
The Wildlife Society
https://wildlife.org/events/event/plants-to-populations-predicting-diet-quality-and-nutrient-intake-of-deer-from-forage-metrics/
No additional detail for this event.

13

Developing and Improving your Urban Wood Business— Access ends March 13
All day
03/13/2025
https://learn.eforester.org/products/developing-and-improving-your-urban-wood-business#tab-product_tab_overview
No additional detail for this event.

Foundations of Frequentist Statistics
2:00 PM-3:30 PM
03/13/2025
Ecological Society of America
No additional detail for this event.

14

Early Bird Registration Closes: Ecological Forecasting Initiative 2025 Conference
All day
03/14/2025
Ecological Forecasting Initiative
https://eventee.com/en/e/ecological-forecasting-initiative-2025-conference-22413
No additional detail for this event.

21

The Role of Managed Conifer Forests in Supporting Native Bee Communities in the Pacific Northwest— Access ends March 21
All day
03/21/2025
Society of American Foresters
https://learn.eforester.org/products/the-role-of-managed-conifer-forests-in-supporting-native-bee-communities-in-the-pacific-northwest#tab-product_tab_overview
No additional detail for this event.

25

Course Starts: Migrating to ArcGIS Pro for Foresters: Basic Short Course (Spring 2025)
10:00 AM-11:00 AM
03/25/2025
Society of American Foresters
https://learn.eforester.org/products/migrating-to-arcgis-pro-for-foresters-basic-short-course-spring-2025
Course content will be accessible starting March 25, 2025 at 10:00 am ET.

Course Starts: How to Think Like a Programmer: AI & Code Generation for Data Science
11:00 AM-12:00 PM
03/25/2025
Ecological Society of America
https://eservices.esa.org/ProductDetail?iProductCode=COURSE250325
This four-day course (6 hrs total) introduces participants to structured problem-solving in data science using AI-driven code generation.
March 25- April 15, 2025 11:00 AM-12:30 PM ET