ESA Professional Development Calendar

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7
  • All day
    05/07/2023

    DATES: June 5 – August 27, 2023

    Generalized linear models are widely used throughout ecology and wildlife management, as they allow us to analyze a wide variety of data, including counts, proportions, and continuous measurements such as length and weight. Being able to fit and interpret these models in R is a basic requirement for modern quantitative ecology. We cover Poisson and binomial models in detail, and extensions of these when the data are overdispersed and/or zero-inflated. We discuss model-checking and residual diagnostics, to see how well our model fits the data, and model comparison using AIC in order to see which terms should be included. Repeated measurements data, in which the response variable is measured at several points in time, are also considered in detail. We explain the distinction between fixed and random effects and show how to fit models that involve random effects. We make extensive use of R throughout the course.
    (1) Instructor support. Reach out to your instructor over a 1-month period to get help as you work through prerecorded lectures, problem sets, and your own personal work. You then have access to the course for an additional 2 months. Instructor support includes emailing your instructor, accessing live discussion threads, and scheduling one-on-one appointments (Zoom or phone) about course material, your research, datasets from work, etc. You MUST select this option if you want to take the course for academic credit at your home institution or you would like to work with an instructor on a dataset from school or work.
    (2) No instructor support (3 months of access to course materials)

    Early bird course fee (ends May 7): $350 professional / $250 student

    Regular course fee (after May 7): $400 professional / $300 student

8
  • All day
    05/08/2023

    Dates: Begins June 5, 2023

    This course builds on and extends the scope of the questions, data types, and analytical methods covered in the Introduction to Capture-Mark-Recapture course.  In particular, we will go into depth on spatially-explicit methods, including mark-recapture and mark-resight models, their underlying assumptions, and more advanced applications such as explaining variation in density patterns and developing long-term monitoring programs.
    You have two options when enrolling in this course:
    (1) Instructor support. Reach out to your instructor over a 1-month period to get help as you work through prerecorded lectures, problem sets, and your own personal work. You then have access to the course for an additional 2 months. Instructor support includes emailing your instructor, accessing live discussion threads, and scheduling one-on-one appointments (Zoom or phone) about course material, your research, datasets from work, etc. You MUST select this option if you want to take the course for academic credit at your home institution or you would like to work with an instructor on a dataset from school or work.

    Early bird course fee (ends May 8): $600 professional / $500 student

    Regular course fee (after May 8): $650 professional / $550 student

    (2) No instructor support. Sign up anytime over a 3-month period and learn at your own pace as you work through prerecorded lectures and problem sets. Be aware that at any time during the first month, you may upgrade to receive Instructor support.

    Early bird course fee (ends May 8): $375 professional / $275 student

    Regular course fee (after May 8): $400 professional / $300 student

  • 2:00 PM-3:00 PM
    05/08/2023

    Join Engineers & Scientists Acting Locally and ESA to learn how science and policy intersect to protect waterways, hear from local advocates for ecologically sound practices, and discuss the potential impact of an ongoing Supreme Court Case. The speakers are Erika Harris, Senior Planner with the Puget Sound Regional Council, and Royal C. Gardner, Professor of Law and Co-Director of the Institute for Biodiversity Law and Policy at Stetson University College of Law

  • All day
    05/08/2023

    Early bird course fee (ends May 8): $550 professional / $450 student

    Regular course fee (after May 8): $600 professional / $500 student

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