Professional Development Calendar

No instructor support

Early bird course fee (ends Nov 27): $400 professional / $300 student

Regular course fee (after Nov 27): $450 professional / $350 student

Instructor support

Early bird course fee (ends Nov 27): $550 professional / $450 student

Regular course fee (after Nov 27): $600 professional / $500 student

Instructor support

Early Bird Course Fee (ends Nov 27): $550 professional / $450 student

Regular Course fee (After Nov 27): $600 professional / $500 student

No instructor support

Early Bird Course Fee (ends Nov 27): $400 professional / $300 student

Regular Course Fee (after Nov 27): $450 professional / $350 student

DATES: November 28 – December 23, 2022 (with live meetings on the weekends)

Dates: November 28 – December 23, 2022 (with an additional 2 months of access)

Recent breakthroughs have made artificial intelligence techniques accessible to a wider audience interested in addressing the management and analysis of large ecological datasets. From automatically sorting camera trap data to identifying individuals within your study population, leave this course with the knowledge and skills to generate and deploy machine learning models for your research. In this course, you will first learn how to wrangle your data using R or OpenRefine; create workflows using python environments and Jupyter notebooks; and deploy your own computer vision web application using powerful deep learning libraries.

Students will take the course at their own pace over a four-week period with instructor support. The course will then be open for an additional 2-month period. The course is divided into discrete competency-based modules composed of pre-recorded lecture material and hands-on exercises. Student interaction and instructor support will be provided in the form of email, online discussion forums, and live Q&A sessions each week. Each student will also have the opportunity to meet with the instructor via one-on-one video consultation to discuss their individual project from school or work.

Course fee: $650 professional / $550 student

ESA will hold a webinar about the draft Fifth National Climate Assessment, featuring Allison Crimmins November 30 at 12 noon eastern time.

Allison Crimmins is the Director of the National Climate Assessment. She is a climate scientist on detail from EPA’s Office of Air and Radiation to the White House Office of Science and Technology Policy, where she is leading the fifth National Climate Assessment at the U.S. Global Change Research Program. Allison has expertise in assessing climate impacts and risks, particularly on health and economic damages, and led the 2016 U.S. Climate and Health Assessment.

For more information, see the ESA website page: https://www.esa.org/esablog/2022/11/11/fifth-national-climate-assessment/

Location: Cienega Creek Natural Preserve, Tucson, AZ. Walk beside 100 year-old giant saguaros and mesquite nurse trees at the base of the Tucson Mountains. Explore new ways to experience the landscape. Engage your creativity. Learn how the art making process can connect you to your local habitat and facilitate cultivation of a deep sensory awareness. Learn how to apply these methods to your participatory research or citizen science project. Guided instruction in Art-Based Perceptual Ecology (ABPE) methodologies taught by ABPE pioneer, Dr. Lee Ann Woolery. No art experience needed. Materials list provided after registration. Ages: 18 and up. Registration Fee: $65.