Workshops

A photo and link to workshops

I appreciated having had the opportunity to discuss our breakout topics with people with different areas of experience

Jessica X. Wright-Lichter, 2021 workshop participant

Click here to download preliminary information on 2022 workshop offerings (pdf)

Introduction to Scientific Computation and Data Visualization (two-session workshop)
Overview

Scientists make observations, conduct experiments, and collect data in very different ways, and all of these data need to be visualized and analyzed. General principles of and tools for data visualization and analysis transcend individual disciplines and specific studies. Understanding these principles and tools makes it much easier to learn particular software programs or methods of analysis when you need them.

Description

We offer a two-session workshop on scientific computation and data visualization. This workshop introduces concepts of object-oriented programming, data visualization, and current open-source platforms and tools for implementing reproducible analysis. Having these concepts and tools in hand as you embark on your research project will let you immediately apply the skills you will learn in this workshop.

Details

The workshop consists of two 90-minute group sessions sequentially focused on: 

    1. The basics of object-oriented programming
    2. Fundamentals of data visualization
    3. Key tools: Julia, Python, R, markdown, and Jupyter notebooks
When will it be offered?

The next workshop on Introduction to Scientific Computation and Data Visualization will be offered in June 2022. Exact dates will be announced in March!

How do I register?

Registration for this workshop will open in April 2022.


Communicating Scientific Knowledge (three-session workshop)
Overview

Scientists need to communicate their research, but effective communication is rarely taught in science courses. Like any other skill, communicating science is best learned and refined through practice, feedback and critique, and more practice. Participating in an intensive workshop is a practical and effective way to develop your science-communication skills.

Description

We offer a three-session, interactive workshop in communicating scientific knowledge to peers and colleagues at meetings, symposia, and conferences. This workshop is open to anyone interested in learning formal skills of writing and presenting scientific research. This workshop will be especially useful if you are currently working on a research project or plan to present your work in the near future, because you will be able to immediately apply the skills you will learn.

Details

The workshop consists of three 90-minute group sessions sequentially focused on:

    1. Writing abstracts. Summing up your research in 200 words and a tweet
    2. Preparing and delivering talks. Strategies for success in live, hybrid, and virtual meetings
    3. Preparing and presenting posters. Optimizing potential for interactions

In between sessions, participants will write abstracts, create draft talks and posters, and receive feedback from the instructors.

When will it be offered?

The next workshop on Communicating Scientific Knowledge will be offered in July 2022. Exact dates will be announced in March!

How do I register?

Registration for this workshop will open in May 2022.


Basics of Data Management (one-session workshop)
Overview

Scientists need to publish the results of their research, but if the results are to be considered credible by the broader community, they must be reproducible by others. Reproducibility is central part of open science and is a consequence of data being FAIR: Findable, Accessible, Interoperable, and Reusable. Managing and archiving FAIR data is a skill that can be learned and honed through practice.

Description

We offer a one-session workshop in managing and archiving FAIR data so they can be used and assessed by other scientists. This workshop is open to anyone interested in learning the FAIR principles and how to manage and publicly archive their own data. Because most peer-reviewed journals now require that the data used and analyzed in any manuscript is publicly archived, you will be able to immediately apply the skills you will learn in this workshop. 

Details

The workshop consists of one 90-minute group session focused on:

    1. Why reproducibility matters for science and how everyone can be a part of and contribute to the culture of “open science” 
    2. Introduction to the FAIR principles and why they matter
    3. From GitHub and GenBank to DataOne: How to access and fairly use archived data and how to archive your own data
When will it be offered?

The next workshop on the Basics of Data Management will be offered in August 2022. Exact dates will be announced in March!

How do I register?

Registration for this workshop will open in June 2022.


Writing Research Proposals (one-session workshop)

In development… Details coming soon!


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