We have some great workshop offerings for you! The first two are free and do not require annual meeting registration, while the R Workshop registration and fees will be processed through the soon-to-be-launched virtual meeting website.
Available to watch: February 26 – 28 (link to view the film emailed on February 26)
Discussion: March 1 (4:00 – 5:30 pm)
PICTURE A SCIENTIST chronicles the groundswell of researchers who are writing a new chapter for women scientists. Biologist Nancy Hopkins, chemist Raychelle Burks, and geologist Jane Willenbring lead viewers on a journey deep into their own experiences in the sciences, ranging from brutal harassment to years of subtle slights. Along the way, from cramped laboratories to spectacular field stations, we encounter scientific luminaries – including social scientists, neuroscientists, and psychologists – who provide new perspectives on how to make science itself more diverse, equitable, and open to all.
A password-protected Zoom link will be emailed to registrants a few days prior to the event.
– Discuss reflections and reactions to the film.
– Brainstorm action items and compile a list of resources to make fisheries professions in Alaska more inclusive and accessible.
* Note: There will be numerous ways to share your thoughts and experiences anonymously (e.g., via whiteboard activities, Zoom chat, direct messaging).
Please contact firstname.lastname@example.org with additional questions, comments, and/or concerns.
March 3 (10:00 – 11:30 am) OR March 4 (10:00 – 11:30 am)
FREE, space is limited and registration required by February 26thWhat are the best practices for developing a presentation for a virtual conference? How do you engage an audience that you can’t see? What if your presentation is pre-recorded?This 90-minute training specifically addresses the successful design and delivery of a science-based virtual conference presentation. It covers best practices for slide design, as well as effective strategies for keeping a diverse audience involved and engaged. Zoom meeting information will be provided as well as supplemental materials to registrants in advance of the training.The training is being offered free of charge for the American Fisheries Society Alaska Chapter and sponsored by NOAA’s Coastal Training Program at the Kachemak Bay National Estuarine Research Reserve, and delivered by Cathy Angell Communications.Register for training on March 3, 2021 10:00-11:30 am:
Register for training on March 4, 2021 10:00-11:30 am:
R Workshop: Analyzing and Visualizing Data in R
March 16 (9:00 am – 12:00 noon) AND March 17 (9:00 am – 12:00 noon)
Registration and fees will be processed through the virtual meeting website – stay tuned!
This two half-day course will introduce students to R and R Studio with an emphasis on the tidyverse, a collection of packages designed for data science that share an underlying design philosophy, grammar, and data structure. Participants may sign up for one or both days of the course.
Day one will begin with an introduction on how to properly store and manage data (e.g. long format), how to read data into R (e.g., document.csv), checking datasets for errors (“NA”, “NaN”, variable information), and application and interpretation of statistical models (ANOVAs, multivariate linear models). Advanced topics for the day will transition to the tidyverse; how to use packages readr and dplyr, for example, to accomplish more complex data processing tasks that have more flexibility than base R functions. Additional topics will include functions spanning data input/output, data creation, data frame slicing and extracting, data selection and manipulation, variable conversion, and mathematical operations.
Day two will apply the tidyverse concepts to pursue an introduction into data visualization using ggplot2. More advanced topics will include mapping with an introduction to basic spatial analyses functions. Topics will be introduced in lecture format proceeded with worked-examples/group exercises. Examples will be executed using built-in R datasets as well as publicly available fisheries data. Please download and install the latest version of R and R Studio from the R project website before class: https://www.r-project.org/. If you need guidance, please email the instructor prior to the class.
Students will require a laptop or desktop computer with an active internet connection. It is highly recommended that you have a mouse, wired or wireless; not required but laptop trackpads will slow down efficient navigation of the R environment.
Instructor: Greg Merrill, M.S., NSF Graduate Research Fellow, Duke University, Nowacek Laboratory; email@example.com
SAVE THE DATE: We will be offering a Bayesian course co-sponsored with the Western Division of AFS and held during WDAFS 2021 Virtual meeting, May 10 – 11.