2019 Library Winterim Courses

Looking to take advantage of the winterim this year? The Dartmouth Library is offering two workshops geared towards PhD, graduate, and professional school students.

Post-it notes with writing stuck to a white board. A second white board sits in the background with discussion points.

https://pixabay.com/photos/workshop-pens-post-it-note-2209239/

Own your Identity: December 6th @ 9 am-12 pm 

Today’s professionals, academics, and research scientists need to be attentive to how they appear to the world in a bewildering variety of online spaces. They also need to consider how to skillfully engage with different types of audiences, whether with other scientists, policy-makers, or the public. This workshop will help students manage their online identities – their ‘personae,’ — and will help them be more strategic about the professional and scientific presence that they project to industry employers, hiring deans, committee chairs, grant reviewers, editors, publishers, and peers. Through a combination of presentation, activities, and hands-on work, this Winterim half-day workshop will teach students how to manage and promote their professional and scientific identity, and how to engage their professional and other audiences using a variety of online tools.

A man looks at a cork board with research documents tacked to it.

https://pixabay.com/photos/concept-man-papers-person-plan-1868728/

Principles and Practices of Reproducible Research: December 9-12 @ 9 am – 12 pm

Computationally intensive and data-driven research and scholarly work has become ubiquitous across most disciplines, and students need to build on and expand their research skills. However, while researchers spend more time managing data and using code, we are rarely taught to do this efficiently, effectively, or in a computationally reproducible manner.

Our reproducible research short course integrates data management, computing resources, and open science principles. It will provide straightforward, hands-on, fundamental skills training that researchers at any level can apply to produce reliable and reproducible computationally intensive scholarship. Implementing reproducible research concepts and tools is a key to the scientific method. It allows others (including future you) to recreate, verify, and build upon your work by structuring, organizing, and analyzing your data and code using reproducible best practices.

Students interested in these courses should register via the Thayer website.

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