Course Overview

Synthesis Skills for Early Career Researchers (SSECR; [SEE-ker]) is a course organized by the Long Term Ecological Research (LTER) Network. This course aims to address the need for more comprehensive interpersonal and data skills in ecology. You can find more information on SSECR at the LTER Network page for the course.

Some specific course priorities include:

Citing These Materials

We hope this course is useful to you and encourage you to use these materials! If you do use these materials, please use the following citation:

Lyon, N.J., Kappel, C., Elmendorf, S., Kui, L., Maurer, G. E., De La Rosa, G., & Downs, M. (2025). Synthesis Skills for Early Career Researchers (SSECR) (v1.0). Zenodo. https://doi.org/10.5281/zenodo.16969471

R Packages

So far, the code facets of this course are taught primarily in R. Specific R packages are described and loaded in each module as they are needed but to quickly ensure that you have most of the needed packages, feel free to copy and run the following code. Note that if you do not already have the librarian package, you’ll need to un-comment the first line and install it before running the second line. Packages are in alphabetical order

# install.packages("librarian")
librarian::shelf(cowplot, exactextractr, lterdatasampler, maps, psych, sf, supportR, terra, tidyverse)

The downloaded binary packages are in
    /var/folders/sf/4vjm4zs50sq4_rpvjy_08nl80000gn/T//Rtmpd8EAHO/downloaded_packages

Course Structure

Course participants meet for two hours, weekly, at the same time each week. Each session covers a module (linked in the sidebar on the left of this page) that includes a blend of technical and interpersonal skills relevant for inclusive synthesis and team work on the chosen group projects.

Project groups will also meet at a time of their own choosing to work on projects. Project mentors are encouraged to participate in work sessions at least 4 times throughout the year.

Course participants meet for three hours, weekly, at the same time each week. Sessions alternate between hands-on instruction in technical and soft skills that are relevant for inclusive synthesis and team work on the chosen group projects.

Each three-hour session will include 2 components:

  1. Networking (~60 minutes): Presentation by one or more experienced synthesis scientists, describing why and how they conduct synthesis. This diverse group of researchers will be recruited from across the field and course participants will have ample time for discussion with each presenter.
  2. Instruction (~120 minutes): Each session will focus on a specific instructional topic, with technical skills, team-science skills, and communication topics interspersed throughout the year. The discussion will be limited to official course participants, but instructional materials for each topic will be available online, allowing individuals or site- or topic-based groups to follow along independently.
    • Technical skills will build on earlier lessons and are not intended to be stand-alone modules. The course will include social and leadership skills required to bring a synthesis project from idea to completion (or, for larger projects to completed proposal) and will include techniques for ensuring that multiple thinking and learning styles are respected and valued.

Project groups will also meet at a time of their own choosing to work on projects. Project mentors are encouraged to participate in work sessions at least 4 times throughout the year.

Course Scheduling

All dates are in 2026. Icon legend: Interpersonal Skill Expert | Technical Skill Expert. Instructor order reflects order of content within each module.

Date Module Primary Instructors
9 / 10 1. Synthesis Team Fundamentals Nick Lyon
Marty Downs (TBD)
Carrie Kappel (TBD)
9 / 17 2. Project Documentation & Organization Nick Lyon
Sarah Elmendorf
Li Kui
9 / 24 3. Reproducible & Successful Teams Nick Lyon
Carrie Kappel
10 / 01 4. Group Dialogue & Data Searches Carrie Kappel
Li Kui
10 / 08 5. Qualities of Good Meetings & Data Logs Carrie Kappel
Marty Downs
10 / 15 6. Visualizing Data & Project Scope Sarah Elmendorf
Nick Lyon
Marty Downs
10 / 22 7. Plan the Work Marty Downs
Nick Lyon
10 / 29 8. Build Consensus & Do Quality Control Carrie Kappel
Nick Lyon
11 / 05 9. Tools for Meetings & Data Wrangling Carrie Kappel
Nick Lyon
11 / 12 10. Intellectual Credit Marty Downs
11 / 19 11. Group Stats Presentations / SSECR Participants!
11 / 26 No Class!
12 / 03 12. Making Reports & Websites Marty Downs
Nick Lyon
12 / 10 13. Looking Ahead & Spatial Data Marty Downs
Nick Lyon
12 / 17 14. Share the Story TBD
TBD Final Project Symposium SSECR Participants!
TBD Presentations on LTER Community Call SSECR Participants!
Date Module Primary Instructor(s)
9/5/24 Version Control Nick Lyon; Angel Chen
9/16-20/24 Reproducibility Best Practices Nick Lyon
10/3/24 Data Discovery & Management Li Kui; Marty Downs
10/17/24 Team Sciences Practices Marty Downs; Carrie Kappel
10/31/24 Inclusive Facilitation Carrie Kappel
11/14/24 Data Visualization & Exploration Sarah Elmendorf; Nick Lyon
12/5/24 Project Management Marty Downs
12/19/24 Supporting Divergent, Emergent, and Convergent Thinking Carrie Kappel
1/16/25 Data Wrangling Nick Lyon
1/30/25 Authorship & Intellectual Credit Marty Downs
2/13/25 Canceled
2/27/25 Analysis & Modeling Nick Lyon
3/13/25 Next Steps & Logic Models Marty Downs
3/27/25 Communicating Findings Gabriel de la Rosa
4/10/25 Reproducible Reports Nick Lyon
4/24/25 Bonus Module / Optional Prep TBD
5/8/25 Optional Prep TBD
5/22/25 Final Project Symposium SSECR Participants!
5/28/25 Public Presentations on LTER Community Call SSECR Participants!

Course Policies

Attendance

If you get sick, observe a religious holiday unaccounted for by the SSECR schedule, have to miss class for an interview, or simply don’t think you can handle class on a given day, please email the course instructors as early as possible to let us know that you won’t be in class with a (brief) explanation. This will help us to share resources we’ll cover in class with you and plan for a smaller in-class community while you are out. Our hope is that this course will be somewhere you want to attend, but we totally understand that you have many demands on your time and sometimes life happens!

Please keep in mind that your presence in and contributions to class are important both to your understanding of the material and the creation and maintenance of an in-class community.

Usability, Accessibility, and Design

We are committed to creating a course that is inclusive in its design. If you encounter barriers, please let the instructors know immediately so that we can determine if there is a design adjustment that can be made or if an accommodation might be needed to overcome the limitations of the design. We are always happy to consider creative solutions as long as they do not compromise the intent of the learning activity. We welcome feedback that will assist us in improving the usability and experience for all students.

Name, Gender Identity, and/or Gender Expression

You provided a name when you first applied to be a part of the course but we will gladly honor your request to be addressed by an alternate name. We will also use whichever pronouns you identify with. Please advise us of your pronouns and/or chosen name early in the course so that we can ensure that we treat you respectfully throughout the course.

Code of Conduct

Group work is a significant part of this course explicitly in the synthesis project facet as well as implicitly by the collaborative nature of many of the modules. We expect that you will be mutually respectful with one another both in and outside of class time. We will ask you questions during the course and during class is also an ideal time for you all to ask us questions that you have on course topics or policies. We don’t believe that “dumb questions” exist, and expect that you treat your peers’ questions with the respect you’d like your questions to be with. We will learn more together in an environment where we build one another up than we would in one where we fail to support one another.