Course Start Date -Transdisciplinary Human-Wildlife Conflict Management & Resolution (ONLINE)

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

Related upcoming events

  • 12/18/2022 All day
    • Early bird course fee (before Dec 18): $550 professional / $450 student

    • Regular course fee (after Dec 18): $600 professional / $500 student

  • 12/19/2022 All day

    DATES: Dec 19, 2022 - Jan 15, 2023

  • 12/31/2022 All day

    Course start date

    Get started immediately! Course content will be accessible upon enrollment.

    Registration period

    Registration for this virtual workshop series will remain open through December 31, 2023 at 11:55 pm ET unless notified otherwise.

  • 01/02/2023 All day

    Dates: Begins January 2, 2023 (instructor support begins in March)

    Species presence/absence is a fundamental concept used in many areas of ecology (e.g., species distributions, habitat modeling, monitoring, and metapopulation studies), however imperfect detection can lead to false absences. Unaccounted for false absences can lead to misleading inferences about patterns and dynamics of species occurrence and the factors that influence them. We will learn methods for accounting for imperfect detection with species detection/non-detection data and also discuss important study design considerations. Exercises are completed using Program PRESENCE and RPresence.

    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 December 5): $600 professional / $500 student

    • Regular course fee (after December 5): $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 December 5): $375 professional / $275 student

    • Regular course fee (after December 5): $400 professional / $300 student

  • 01/02/2023 All day

    Dates: Begins January 2, 2023 (instructor support begins in March)

    Bayesian methods for analyzing data are now widely used in ecology and wildlife management. The Bayesian approach involves specifying the “prior” distribution, which represents the uncertainty about the model parameters before we collect the data, and the likelihood, which represents the plausibility of different parameters values based solely on the data. These are combined via Bayes’ Rule to obtain the “posterior” distribution for the parameters, which represents the uncertainty about the parameters after we have analyzed the data. Using the Bayesian approach gives you more flexibility in the type of models that you can fit, compared to the classical frequentist approach, as the model is typically specified in the same way that you would write it down mathematically. Once you have become familiar with fitting a Bayesian model in R, you will appreciate the extra flexibility and the more intuitive way in which the results can be presented.

    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 December 5): $500 professional / $400 student

    • Regular course fee (after December 5): $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 December 5): $375 professional / $275 student

    • Regular course fee (after December 5): $400 professional / $300 student

  • 01/02/2023 All day

    Dates: Course #1 - Jan 2-16, 2023

    Scent detection dogs are increasingly used in conservation research to improve the frequency or probability of finding biological samples or focal organisms, including rare or cryptic species. We offer a series of three short courses (Course #1-2 online; & Course #3 field) designed to provide an appreciation for this emerging field and the science behind it, while presenting real-world examples, logistics, and considerations underscoring the potential benefits of this approach.

    Course #1: Intro to Working with Conservation Canines

    Ideal for students, researchers, and others new to learning theory, working dogs, and scent detection training. Using an online platform to illustrate key concepts via lectures with video clips and interactive discussions, it provides an overview of scent detection applications, animal training basics, general principles of scent detection training, and dog selection considerations.

    Students will take the course largely at their own pace over a two-week period. Activities for the online course consist of pre-recorded lectures, synchronous and asynchronous mid-week discussions based on articles from the primary and secondary literature, as well as weekly real-time discussions around themed topics and applied training scenarios, and an online Q&A forum for other professional development and related training questions.

    • Early bird course fee: $500 professional / $400 student

    • Regular course fee: $550 professional / $450 student

  • 01/03/2023 12:13 PM - 01/03/2023 12:13 PM

    Opens on January 3, 2022, and closes on March 26, 2023

    INSTRUCTORS: Drs. Gina Himes Boor & Jack Hopkins

  • 01/03/2023 All day

    Dates: January 3, 2023 - February 26, 2023 (enroll anytime)

    Analyses of wildlife home range and habitat use are used in wildlife-focused disciplines to inform population and habitat management practices. The geographical space used by animals is largely driven by habitat selection, where habitat can be described by spatially explicit site factors (e.g., land cover). Geospatial modeling is the process of synthesizing geographically referenced field measurements and spatial data layers representing those site factors. In this course, we will process raw point location data, estimate home ranges, and conduct habitat assessments using raster land cover data and the open-source software applications QGIS and R.

    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 month with less consistent support. 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.

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

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

    (2)  NO instructor support. Sign up anytime over a 2-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 Nov 27th): $400 professional / $300 student

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

  • 02/06/2023 All day

    Dates: February 6 - March 1, 2023

    This course is for students and professionals interested in learning about all aspects of capturing and immobilizing wild animals using a variety of techniques and drugs. This course is also the prerequisite for a 4-day FIELD COURSE designed to provide students a one-of-a-kind, hands-on learning experience capturing and chemically immobilizing elk, black bears, wolves, mountain lions, and several species of mesocarnivores at the Wildlife Science Center (WSC) in Stacy, MN. March field course will be offered at WSC March 6-9, 2023.

    Participants will learn at their own pace over four weeks by watching prerecorded lectures, working on problem sets, and reading Dr. Kreeger’s handbook and peer-reviewed journal articles. Once a week, participants will have the option to participate in a live Q&A with Dr. Kreeger about the materials presented in each module. An exam will be administered to those seeking a certification of completion from the Center for Wildlife Studies.

    • Early bird course fee (before Dec 18): $550 professional / $450 student

    • Regular course fee (after Dec 18): $600 professional / $500 student

  • 03/01/2023 All day

    Dates: Begins March 1, 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

  • 03/01/2023 All day

    Dates: March 1 - May 31, 2023

    Research and management questions often focus on obtaining robust (i.e., unbiased and precise) estimates of various demographic parameters about wildlife populations. Estimates of abundance, density, population growth, state transition rates, and vital rates can provide valuable insights into changes to population status as well as their drivers. Among the most popular and diverse approaches to estimating such parameters includes a suite of sampling and analytical methods known as capture-mark-recapture (or several similar terms). This class will focus on providing a solid foundation to using these techniques to answer a broad range of ecological and management-related questions. We emphasize asking good questions, identifying appropriate sampling methods rooted in animal behavior and ecology, and choosing the right analytical techniques. With these in mind, we will analyze example datasets using both 'canned' (MARK) and command-line software (R) during online lectures and practical exercises.

    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

  • 03/01/2023 All day

    Dates: March 1 - May 31, 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.

    • Early bird course fee (ends Feb 1): $550 professional / $450 student

    • Regular course fee (after Feb 1): $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.

    • Early bird course fee (ends Feb 1): $400 professional / $300 student

    • Regular course fee (after Feb 1): $450 professional / $350 student