As of June 15, 2021

The courses below are currently scheduled as live, in-person courses in Baltimore, Maryland. AFS will notify registrants of any course schedule changes due to travel restrictions. Courses will be added to the schedule as additional speakers confirm their participation; details will be added to the Annual Meeting website. 

Friday, November 5

8:00 am – 5:00 pm

This hands-on, live-coding course is a comprehensive introduction to R and RStudio, including basic computational concepts (e.g. directory navigation), introductory programming concepts (e.g., functions, arguments, data objects), and best practices of applying these skills (commenting code, data organization, workflow). Participants will be introduced to common and practical applications of R, including importing and exploring data frames, wrangling data in {dplyr}, visualizing data with {ggplot2}, and the well-known challenges of dealing with dates and times in R using {lubridate}. Sequential coding exercises will allow learners to build upon and enforce their mental models and encourage pair programming, and frequent formative assessments in the form of hands-on coding activities (faded examples, MCQs, Parsons problems) will be used to identify and correct misconceptions and ensure that the workshop pace is appropriate for the learners.

Instructor:
Danielle Quinn

This course will serve as an introduction to using spatial data in a geographic information system platform. Participants will learn fundamental concepts of using geographic information and gain experience applying those concepts in hands-on exercises to accomplish real world tasks that might be conducted by a fisheries biologist.

Participants will learn how to create maps using best practices; locate and read metadata; use existing datasets; create new datasets by digitizing or incorporating field-collected spatial information; join tabular data to spatial data; use geoprocessing methods to summarize metrics; and carry out other GIS operations useful for fisheries biologists.

Instructors:
Hadley Boehm
University of Missouri

Clinton Morgeson
Virginia Department of Wildlife Resources

Jodi Whittier
University of Missouri

Saturday, November 6

8:00 am – 5:00 pm

This course will introduce participants to advanced concepts and tools for manipulating and summarizing spatial datasets using the ArcGIS and QGIS platforms. The concepts and basis of the tools will be applicable to other GIS platforms such as program R. Topics covered include: geoprocessing, interpolation, simple geostatistics, building spatial networks, and conducting aerial image classifications. The course will be a combination of lectures and hands-on exercises using examples that might be encountered by a fisheries biologist.

Instructors:
Hadley Boehm
University of Missouri

Clinton Morgeson
Virginia Department of Wildlife Resources

Jodi Whittier
University of Missouri

This course is intended to address the major knowledge gap in proper data management for fisheries and wildlife and is applicable to anyone who collects and works with data. Some of the topics that will be covered include: data management life cycle, data management planning, data security and sharing, data validation and verification, quality assurance and quality control, types of data tools, choosing the right tool for the job, and basic relational database structure and design.

Instructor:
Keith Hurley
Nebraska Department of Game and Parks

This course will provide attendees with a working knowledge of eDNA molecular diagnostics terminology and procedures. Examples showing both aquatic and terrestrial eDNA applications will be used to bring procedures to life. Additionally this course will cover Artemis, a statistical framework for contextualizing eDNA detections and as a workflow tool to estimate the effect sizes of variables on the ability to detect eDNA. Portions of the course will include a hands-on segment (if in-person) to familiarize everyone with the basic use sample collection apparatus and how to perform water filtration.

Instructor:
Gregg Schumer
Cramer Fish Sciences

Participants will learn how to write more concise technical documents in plain English and in the active voice, reducing overall length of documents by 25-30% without any loss of content or meaning. The interactive workshop includes many hands-on exercises to give the participants opportunities to practice the principles discussed in class. Participants also will apply the principles and techniques learned to documents they bring to the class and receive personal coaching from the instructor. Instructor: Steve McMullin McMullin Training and Consulting

Saturday, November 6

8:00 am – 12:00 pm

A brief review of core concepts will be provided, and formative assessments in the form of hands-on coding activities (faded examples, MCQs, Parsons problems) will be used identify and correct any misconceptions about best practices of data organization and utilizing basic {dplyr} functions in RStudio. From there, live coding will be used to guide participants through a series of real world examples of data wrangling challenges as they learn to apply {dplyr} functions to merge datasets, explore, clean, and filter data, reshape data frames, and visualize data in effective ways. Sequential coding exercises will allow learners to build upon and enforce their mental models and encourage pair programming. Time will also be allocated for learners to apply what they’ve learned to their own data sets and collaboratively discuss approaches and solutions to the challenges they face in their own research.

Instructor:
Danielle Quinn

Saturday, November 6

1:00 pm – 5:00 pm

Live coding will be used to guide participants through the process of building a simple interactive application using a generalized template and example data relevant to fisheries research. The core elements of interactive shiny applications, the user interface and the reactive server, will be explored through discussion and hands-on coding. Reactive programming will be used to create dashboards that respond to user input in real time to generate interactive visualizations and perform analyses. Finally, increasingly complex layout components will be used to help participants design a customized user interface. Instructor: Danielle Quinn

This course will provide an overview of VAST (vector autoregressive spatio-temporal model and work through a few simple examples in R. Participants will gain hands-on experience specifying model settings, explore standard VAST outputs, and receive assistance troubleshooting the use of provided data. Among other applications, VAST can be used to generate indices for stock, habitat, ecosystem, and climate assessments, analyze spatiotemporal variation in size/age/sex compositions, quantify species distribution shifts, and expand stomach content data for ecological analyses.

Instructors:

James Thorson
NOAA Alaska Fisheries Science Center

Cheryl Barnes (virtual instructor)
University of Washington & NOAA Alaska Fisheries Science Center

Course Pricing

Member Type
Full Day Course
Half-Day Course
Student Member
$125
$65
Student Nonmember
$150
$75
Early Career Professional Member
$150
$75
Regular Member
$175
$90
Nonmember
$250
$150

Meet the 2021 CE Instructors!

Additional speaker photos will be added as soon as AFS receives them!

Gregg Schumer - eDNA
Steve McMullin - concise writing
Jodi Whittier - GIS
Hadley Boehm - GIS
Clinton Morgeson - GIS
Danielle Quinn
Danielle Quinn - R and Rshiny
Keith Hurley - Database Management
James Thorson - VAST
Cheryl Barnes - VAST