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Professional Development Calendar

Check this calendar for upcoming events presented by ESA and our approved providers. On-demand recordings, such as from this library of past ESA webinars, are also worth CEU.

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  • Course Start Date: Introduction to Remote Sensing (ONLINE)
    All day
    03/06/2023

    Explore techniques and procedures required for spatially explicit data analysis in forest resources, wildlife, and natural resources applications. The course will cover methods in image interpretation, land cover mapping, forest monitoring (change detection), landscape metrics and integration of raster and vector data using QGIS. The first two modules are an introduction to remote sensing and will explore methods for finding the right satellite image, downloading, and processing an image from the internet. The second half of the course explores methods for classifying a multispectral image into land use classes and then assessing the accuracy of that classification. Techniques in image interpretation such as vegetation indices and change detection will also be covered.
    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. 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. It is highly RECOMMENDED that you select this option if you would like to work with an instructor on a dataset from school or work.
    DATES: March 6-31, 2023 (with access to course through May 28, 2023)

    Early bird course fee (ends Feb 5): $550 professional / $450 student
    Regular course fee (after Feb 5): $600 professional / $500 student

    (2)  NO instructor support. Sign up anytime and learn at your own pace through the fall 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.
    DATES: Access course from March 6 – May 28, 2023

    Early bird course fee (ends Feb 5): $400 professional / $300 student
    Regular course fee (after Feb 5): $450 professional / $350 student

  • Course Start Date: Wildlife Capture and Chemical Immobilization (FIELD)
    All day
    03/06/2023

    Dates: March 6-9, 2023

    This immersive 4-day field course is designed to provide students a one-of-a-kind, hands-on learning experience capturing and chemically immobilizing wildlife. Prior to arriving at the Wildlife Science Center (WSC), students will attend an online course to prepare them for their visit. Online lectures will be delivered by Terry Kreeger, author of the Handbook of Wildlife Chemical Immobilization, which is internationally recognized as THE text book and field guide to wildlife chemical immobilization. At WSC, participants will participate in a series of interactive labs with some of the most prominent wildlife professionals in the United States. Our ALL-STAR instructors will teach participants about all practical aspects of capture and chemical immobilization, including safe capture techniques, pharmacology, delivery systems, patient monitoring, medical emergencies, and more. Several species will be used as ambassadors for learning, including cougars, black bears, wolves, and elk. YES, you will handle these animals!

    Course fee: $1800 professional / $1600 student

  • Course Start Date: Sampling and Experimental Design (ONLINE)
    All day
    03/06/2023

    DATES: March 6-31, 2023 (with access to course through May 28, 2023)

    A good understanding of sampling and experimental design techniques is vital when planning a research study in ecology and wildlife management. Good design leads to effective use of research money, time and effort, whereas poor design can lead to a study of little use, and hence a waste of these resources. Sampling techniques are useful when planning an observational study, such as a survey, whereas experimental design techniques are of use when planning an experiment. In the sampling modules, we will cover random vs systematic sampling, stratification, hierarchical sampling, use of covariates, trend analysis, and introduce specialized techniques such as capture-mark-recapture and distance sampling. In the experimental design modules, you will learn about randomization, replication and pseudo-replication, controls, blocking, use of covariates, factorial treatments, before-after control-impact (BACI) designs, and trend analysis. In both sections of the course we will show you how to perform power/precision analysis in order to assess what sample sizes might be required for the study to provide useful information.
    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 February 1): $500 professional / $400 student

    Regular course fee (after February 1): $550 professional / $450 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 February 1): $375 professional / $275 student

    Regular course fee (after February 1): $400 professional / $300 student

  • Course Starts: Writing about Research for Impact & Influence (ONLINE)
    All day
    03/06/2023

    Effective science communication has long held the power to reshape our world by driving changes in policy and public opinion. As society struggles with pandemic effects, anthropogenic climate change, and dwindling biodiversity, there is an acute need for scientist–communicators who can effectively convey the spectacular power of research to address these obstacles. In this course, early-career researchers will learn skills for high-impact, immediate engagement with readers, including decision-makers, colleagues, and members of the lay public. Unlike traditional writing courses, this course is focused on capturing audience attention in concrete ways that compel action, using common professional formats such as op-eds, memoranda, press releases, one-pagers, and blog entries. The workshop-driven program also includes instruction on publishing mechanics, covering topics such as pitching your work to editors, establishing an online presence, and achieving proficiency with graphic design fundamentals.

    This online course consists of pre-recorded lectures, each of which has an associated short writing assignment. Students will meet live each week with the instructor for a small-group workshop in which they will share and critique each other’s work.

    Early bird course fee (ends February 5): $500 professional / $400 student
    Regular course fee (after February 5): $550 professional / $450 student

  • Course Start Date: Bayesian Statistics in Ecology (ONLINE)
    All day
    03/06/2023

    Instructor support (details below)

    March 6-31 (with 2 additional months of access): $500 professional / $400 student (Early bird ends Feb 5); Regular rate: $550 professional / $450 student

    No instructor support

    March 6 – May 26 (Early bird ends Feb 5, 2023): $350 professional / $250 student

  • Course Opens: Introduction to Spatial Analysis in QGIS (ONLINE)
    All day
    03/06/2023

    An introductory course for students interested in applying GIS as a tool to help answer important questions in the natural sciences, or for those with ArcGIS experience looking to transition to an Open-Source platform. This course presents the concepts upon which GIS technology is based including the following fundamentals: cartography, geodesy, coordinate systems, and projections. Conceptual overview and hand-on experience of vector data analyses and table queries are introduced. Students will use QGIS to classify data, query tables, analyze spatial relationships, set map projections, build spatial databases, edit data, and create map layouts. Lectures are followed by hands-on activities to develop and reinforce methodologies for GIS analyses.
    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.

    DATES: March 6-31, 2023 (with access to course through May 28, 2023)

    (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.

    DATES: Access course from March 6 – May 28, 2023

  • Course Start Date: R Bootcamp for Ecologists & Wildlife Biologists (ONLINE)
    All day
    03/06/2023

    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.

    Dec 5 – Feb 24: $400 professional / $300 student
    March 6 – May 26 (Early bird ends Feb 5, 2023): $350 professional / $250 student
    June 5 – Aug 25 (Early bird ends May 1, 2023): $350 professional / $250 student
    Sept 5 – Nov 22 (Early bird ends August 6, 2023): $350 professional / $250 student

  • Course Start Date: Introduction to Ecological Modeling in R (ONLINE)
    All day
    03/06/2023

    Spring session: Access course from March 6 – May 28, 2023
    INSTRUCTORS: Drs. Gina Himes Boor & Jack Hopkins

  • Statistical Methods Seminar Series: State-space Models and the Template Model Builder (TMB) R package
    12:00 PM-1:00 PM
    03/06/2023

    EFI and the ESA Statistical Ecology Section are hosting this virtual seminar series that demonstrates a variety of quantitative methods applied within Ecology and Environmental Science in the R programming language. Attendees will gain valuable insight into methods that they may or may not be familiar with from experts on a given topic.

  • Course Start: Geospatial Modeling with QGIS and R
    All day
    03/06/2023

    No instructor support (details below)

    March 6 – May 26: $450 professional / $350 student

  • More events
    • Course Start Date: Introduction to Remote Sensing (ONLINE)
      All day
      03/06/2023

      Explore techniques and procedures required for spatially explicit data analysis in forest resources, wildlife, and natural resources applications. The course will cover methods in image interpretation, land cover mapping, forest monitoring (change detection), landscape metrics and integration of raster and vector data using QGIS. The first two modules are an introduction to remote sensing and will explore methods for finding the right satellite image, downloading, and processing an image from the internet. The second half of the course explores methods for classifying a multispectral image into land use classes and then assessing the accuracy of that classification. Techniques in image interpretation such as vegetation indices and change detection will also be covered.
      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. 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. It is highly RECOMMENDED that you select this option if you would like to work with an instructor on a dataset from school or work.
      DATES: March 6-31, 2023 (with access to course through May 28, 2023)

      Early bird course fee (ends Feb 5): $550 professional / $450 student
      Regular course fee (after Feb 5): $600 professional / $500 student

      (2)  NO instructor support. Sign up anytime and learn at your own pace through the fall 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.
      DATES: Access course from March 6 – May 28, 2023

      Early bird course fee (ends Feb 5): $400 professional / $300 student
      Regular course fee (after Feb 5): $450 professional / $350 student

    • Course Start Date: Wildlife Capture and Chemical Immobilization (FIELD)
      All day
      03/06/2023

      Dates: March 6-9, 2023

      This immersive 4-day field course is designed to provide students a one-of-a-kind, hands-on learning experience capturing and chemically immobilizing wildlife. Prior to arriving at the Wildlife Science Center (WSC), students will attend an online course to prepare them for their visit. Online lectures will be delivered by Terry Kreeger, author of the Handbook of Wildlife Chemical Immobilization, which is internationally recognized as THE text book and field guide to wildlife chemical immobilization. At WSC, participants will participate in a series of interactive labs with some of the most prominent wildlife professionals in the United States. Our ALL-STAR instructors will teach participants about all practical aspects of capture and chemical immobilization, including safe capture techniques, pharmacology, delivery systems, patient monitoring, medical emergencies, and more. Several species will be used as ambassadors for learning, including cougars, black bears, wolves, and elk. YES, you will handle these animals!

      Course fee: $1800 professional / $1600 student

    • Course Start Date: Sampling and Experimental Design (ONLINE)
      All day
      03/06/2023

      DATES: March 6-31, 2023 (with access to course through May 28, 2023)

      A good understanding of sampling and experimental design techniques is vital when planning a research study in ecology and wildlife management. Good design leads to effective use of research money, time and effort, whereas poor design can lead to a study of little use, and hence a waste of these resources. Sampling techniques are useful when planning an observational study, such as a survey, whereas experimental design techniques are of use when planning an experiment. In the sampling modules, we will cover random vs systematic sampling, stratification, hierarchical sampling, use of covariates, trend analysis, and introduce specialized techniques such as capture-mark-recapture and distance sampling. In the experimental design modules, you will learn about randomization, replication and pseudo-replication, controls, blocking, use of covariates, factorial treatments, before-after control-impact (BACI) designs, and trend analysis. In both sections of the course we will show you how to perform power/precision analysis in order to assess what sample sizes might be required for the study to provide useful information.
      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 February 1): $500 professional / $400 student

      Regular course fee (after February 1): $550 professional / $450 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 February 1): $375 professional / $275 student

      Regular course fee (after February 1): $400 professional / $300 student

    • Course Starts: Writing about Research for Impact & Influence (ONLINE)
      All day
      03/06/2023

      Effective science communication has long held the power to reshape our world by driving changes in policy and public opinion. As society struggles with pandemic effects, anthropogenic climate change, and dwindling biodiversity, there is an acute need for scientist–communicators who can effectively convey the spectacular power of research to address these obstacles. In this course, early-career researchers will learn skills for high-impact, immediate engagement with readers, including decision-makers, colleagues, and members of the lay public. Unlike traditional writing courses, this course is focused on capturing audience attention in concrete ways that compel action, using common professional formats such as op-eds, memoranda, press releases, one-pagers, and blog entries. The workshop-driven program also includes instruction on publishing mechanics, covering topics such as pitching your work to editors, establishing an online presence, and achieving proficiency with graphic design fundamentals.

      This online course consists of pre-recorded lectures, each of which has an associated short writing assignment. Students will meet live each week with the instructor for a small-group workshop in which they will share and critique each other’s work.

      Early bird course fee (ends February 5): $500 professional / $400 student
      Regular course fee (after February 5): $550 professional / $450 student

    • Course Start Date: Bayesian Statistics in Ecology (ONLINE)
      All day
      03/06/2023

      Instructor support (details below)

      March 6-31 (with 2 additional months of access): $500 professional / $400 student (Early bird ends Feb 5); Regular rate: $550 professional / $450 student

      No instructor support

      March 6 – May 26 (Early bird ends Feb 5, 2023): $350 professional / $250 student

    • Course Opens: Introduction to Spatial Analysis in QGIS (ONLINE)
      All day
      03/06/2023

      An introductory course for students interested in applying GIS as a tool to help answer important questions in the natural sciences, or for those with ArcGIS experience looking to transition to an Open-Source platform. This course presents the concepts upon which GIS technology is based including the following fundamentals: cartography, geodesy, coordinate systems, and projections. Conceptual overview and hand-on experience of vector data analyses and table queries are introduced. Students will use QGIS to classify data, query tables, analyze spatial relationships, set map projections, build spatial databases, edit data, and create map layouts. Lectures are followed by hands-on activities to develop and reinforce methodologies for GIS analyses.
      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.

      DATES: March 6-31, 2023 (with access to course through May 28, 2023)

      (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.

      DATES: Access course from March 6 – May 28, 2023

    • Course Start Date: R Bootcamp for Ecologists & Wildlife Biologists (ONLINE)
      All day
      03/06/2023

      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.

      Dec 5 – Feb 24: $400 professional / $300 student
      March 6 – May 26 (Early bird ends Feb 5, 2023): $350 professional / $250 student
      June 5 – Aug 25 (Early bird ends May 1, 2023): $350 professional / $250 student
      Sept 5 – Nov 22 (Early bird ends August 6, 2023): $350 professional / $250 student

    • Course Start Date: Introduction to Ecological Modeling in R (ONLINE)
      All day
      03/06/2023

      Spring session: Access course from March 6 – May 28, 2023
      INSTRUCTORS: Drs. Gina Himes Boor & Jack Hopkins

    • Statistical Methods Seminar Series: State-space Models and the Template Model Builder (TMB) R package
      12:00 PM-1:00 PM
      03/06/2023

      EFI and the ESA Statistical Ecology Section are hosting this virtual seminar series that demonstrates a variety of quantitative methods applied within Ecology and Environmental Science in the R programming language. Attendees will gain valuable insight into methods that they may or may not be familiar with from experts on a given topic.

    • Course Start: Geospatial Modeling with QGIS and R
      All day
      03/06/2023

      No instructor support (details below)

      March 6 – May 26: $450 professional / $350 student

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Approved Courses

R (for Ecology) by Luka Negoita
This provider offers:

Yale Environmental Leadership & Training Initiative (Yale School of the Environment)
This provider offers a year-long certificate program, Tropical Forest Landscapes: Conservation, Restoration & Sustainable Use, as well as other online-only and field events. Follow their schedule and our calendar for a full list of opportunities.

One excellent tool for finding webinars and seminars, conferences and other events is the Ecology Seminars website/newsletter managed by Jonathan Clegg. It includes virtual events and in-person, from hour-long presentations to week-long conferences.

What Else Do You Want to See?

We want to make sure that we’re making your professional development relevant and accessible — if there are particular subjects that you want to see ESA cover, or organizations we should partner with, or even just generally think out loud about continuing education in ecology, use this form to let us know!

Certification Event or Training Submission
Are you referring a specific organization or opportunity, suggesting a subject or sharing thoughts?