DSI 2022

Material for the upcoming Digital Scholarship Institute 2022.

Digital Scholarship Institute 2022

Thank you all for attending DSI 2022. We hope you enjoyed it as much as we have. See you next year!

When

Detailed Schedule

Objectives

The DSI is a three day, immersive, and interactive workshop that focuses on a core set of methodologies and tools that provide both a knowledge base and the confidence to create assignments that reflect the changing nature of teaching and learning in higher-ed.

By the end of this institute, participants will:

How the Institute will Function

Normally, the Institute would meet in-person and take advantage of the newly updated Digital Scholarship Lab space in the Rankin Family Pavilion. For this iteration of the Institute, programming will occur synchronously over Teams. As the schedule below shows, there are two types of sessions: Group sessions, where each participant and facilitator will meet, and Stream sessions, where participants will meet only with colleagues interested in the same stream. Group sessions will feature content that is applicable to each stream, while Stream sessions will focus on the particularities of the stream’s main methodology. In this way, we hope that participants will be able to benefit from the insight of the larger group, while also develop a specialized cohort within streams.

Each 45-minute session is interrupted by a 15-minute break (we encourage you to take full advantage of these breaks). Please know that we recognize that participating in a virtual 2.5-day Institute brings with it is own challenges, in addition to the added pressures of working from home. You are not required to be “on” the entire time. We ask that you try to attend and participate during Group sessions. During Stream sessions, facilitators and other subject experts will be available for consultation. If you face challenges, or want to bounce ideas off others, Stream sessions are a perfect opportunity to iron out your chosen project.

Building on DSI 2021, DSI 2022 will feature two types of learning streams: Long streams and Short streams.

Long streams will run for the length of the institute (from Day 1 to Day 3). Participants will commit to participating in all three days. This format is the same as DSI2021.

Short streams, on the other hand, will run for half a day (Day 1 morning, Day 1 afternoon, Day 2 morning, Day 2 afternoon). Participants can sign up for one or more short streams but will not be able to participate in a long stream.

Long streams

Digital Exhibits with CollectionBuilder and Github Pages (Instructor: Daniel Brett)

Digital exhibits are an excellent way to share and display metadata rich materials digital objects. They are particularly useful in bringing to life digitized material to reach a wider audience. Attendees will dig into the digital exhibit platform CollectionBuilder. This platform is totally web-based and easy to work with. The only requirement is the collection of digital objects that will be showcased. For an example of a fully developed CollectionBuilder site please consult the Brock Geodata Listing.

Mapping and GIS with ArcGIS (Instructor: Sharon Janzen)

Geographic Information Systems (GIS) are used to analyze, display and communicate data that contains a geospatial component. This stream will present two major GIS inspired tools: ArcGIS Online, a lightweight internet-based application that allows you to create interactive maps and Esri StoryMaps, which combines interactive maps with narrative text, graphic images and other multimedia content to portray your story to the world. Attendees will gain hands-on experience with these two platforms with the end goal of creating a compelling interactive story map. For an example of this technology in action please have a look at the 2020 Esri scholarship winning story map If Coastlines could Talk.

An Introduction to Natural Language Processing with Python (Instructor: Dr. Aaron Mauro)

Natural Language Processing (NLP) is a discipline that bridges computer science, linguistic computing, and many humanities-based fields. This stream of the Digital Scholarship Institute will introduce attendees to Python programming for NLP. We will learn fundamental syntax necessary to discover, prepare, and process large (and small) scale texts and visualize our results. This is a hands-on session and attendees will become very familiar with Jupyter Notebooks, which is an ideal environment to conduct, share, and present research. Attendees do not need to have past-experience with Python, Jupyter, or NLP. While some experience with programming will be an asset, a careful typist who is familiar with computers will find success in this session!

Short Streams

LMS Showcase (Instructors: Marc Breschuk and Melanie Elliott)

Brock University’s Next LMS will be a modern, cloud-based platform that can better support the needs of Brock University’s instructors and learners. In this session we will explore the basic building blocks of creating your course including multimedia creation, various assessment tools, grading, and feedback.

Pressbooks (Instructors: Mike Brousseau and Giulia Forsythe )

Pressbooks is an online book publishing platform that makes it easy to generate clean, well-formatted online books in multiple outputs. This session we will explore the eCampusOntario Pressbooks library and learn the basics of how to adapt, create, and publish your own open access book for teaching or research.

H5P Studio (Instructor: Cal Murgu)

H5P is an open source, community driven project to create richer online content and improve online learning experiences. H5P makes it easy to create, share and reuse HTML5 content and applications. eCampus hosts H5PStudio, an easy-to-use web editor for folks working at institutions in Ontario. H5P lets us create interactive and engaging online content that can be shared via a Learning Management System (LMS), embedded in a web page, or shared directly as an URL. This session will introduce participants to H5P, the H5P editor, and provide an opportunity for participants to develop their own original content and embed it in a LMS.

Social Annotation (Instructor: Tim Ribaric)

Close reading is an analysis method that helps facilitate an in-depth understanding of a piece of text. The difficulty arises when trying to conduct a close reading exercise in a classroom environment. Attendees will explore Hypothes.is: a web-based tool that allows a group to collaboratively read through and annotate a document in real time. Simply by providing a link or uploading a PDF a group can create an environment that allows for an engaging and rich platform to pour over a body of text. The platform can also be natively embedded into Sakai making for a seamless integration with other course work. See the power of Hypothes.is in action with this marked up rendition of The Rime of the Ancient Mariner.

Long Streams Schedule

Time Day 1   Time Day 2
9:00 to 9:45 Welcome and setting the stage   9:00 to 9:15 Setting the stage for day 2
10:00 to 10:45 Work with stream   9:30 to 10:45 Work with stream
11:00 to 11:45 Work with stream   11:00 to 11:45 Work with stream
11:45 to 1:00 Lunch   11:45 to 1:00 Lunch
1:00 to 1:45 Work with stream   1:00 to 1:45 Work with stream
2:00 to 2:45 Work with stream   2:00 to 2:45 Work with stream
3:00 to 3:30 Wrap-up   3:00 to 3:30 Wrap-up
Time Day 3
9:30 to 10:30 Show and tell
10:30 to 11:00 Wrap up
  Join us for a wrap-up lunch at Cat’s Caboose if you are near campus!

Short Streams Schedule

Time Day 1   Time Day 2
9:00 to 9:45 Welcome and setting the stage   9:00 to 9:15 Setting the stage for day 2
10:00 to 10:45 LMS Showcase Part 1   9:30 to 10:45 H5P Studio Part 1
11:00 to 11:45 LMS Showcase Part 2   11:00 to 11:45 H5P Studio Part 2
11:45 to 1:00 Lunch   11:45 to 1:00 Lunch
1:00 to 1:45 Pressbooks Part 1   1:00 to 1:45 Social Annotation Part 1
2:00 to 2:45 Pressbooks Part 2   2:00 to 2:45 Social Annotation Part 2
3:00 to 3:30 Wrap-up   3:00 to 3:30 Wrap-up

Contact

DSI 2022 is hosted in collaboration with:

Please send an email to dsl@brocku.ca if you have questions or if you’d like to explore running a stream.