CCDHHN

Introduction to Voyant Tools
2024-03-20 00:00 - 23:59 (America/Halifax)
We will introduce Voyant, a free suite of visual tools for text analysis. Participants will get hands on experience applying common tools within Voyant to a corpus. No prior experience with text analysis is required.

This workshop is part of the Digital Toolkit workshop series presented by the UBC Library Research Commons.

Date: Wednesday, March 20, 2024, 1-2pm Pacific

Presenters: Eka Grguric and Anne Olsen

Introduction to Git and GitHub
2024-03-20 00:00 - 23:59
Learn the basics of using Git and GitHub for version control and collaboration. Git is widely used version control software that tracks changes to a group of files, referred to as a repository. GitHub is a popular website for hosting and sharing Git repositories, making it easier to collaborate and share your work. Together, Git and GitHub provide a platform that is increasingly used for collaboration in research and academic environments. In this beginner workshop participants will learn key concepts, create their own Git repository, and publish to GitHub. No previous experience with Git is required. Familiarity with the command line interface will be helpful but is not necessary.

Pre-workshop setup

Please complete the pre-workshop setup to install the Bash shell and Git. If you don’t already have one, create a free GitHub account before the workshop.

This workshop is part of the Core Skills series.

Date: Wednesday March 20, 2024 10am-noon Pacific

Presenter: Billie Hu

Introduction to Machine Learning: Classification and Clustering
2024-03-26 00:00 - 23:59
This workshop offers an exploration of machine learning models for clustering and classification. With the increasing availability of large datasets, these models play a crucial role in extracting valuable insights and making informed decisions. In this workshop, participants will gain insight into clustering algorithms such as K-means, explore popular classification algorithms like decision trees, and learn about anomaly detection. Through a combination of lectures and hands-on exercises, participants will learn how to preprocess data, select relevant features, and evaluate model performance. By the conclusion of the workshop, participants will have a solid foundation in building and deploying machine learning models for clustering and classification tasks.

In this workshop, we will use cloud-based platforms, so you don’t need to have Python installed. Please make sure that you have a Google Colaboratory (https://colab.research.google.com/) account. This workshop will involve hands-on exercises that require the use of programming tools and libraries commonly used in machine learning, such as Python and Scikit-learn. As such, prior familiarity with Python programming is recommended for participants to fully benefit from the practical component of the workshop.

Sign up for other Machine Learning workshops in this series:

Introduction to Machine Learning: Neural Networks

Or view other upcoming Digital Scholarship workshops. If participants attend all of “Special Topics in Digital Scholarship” series, it counts as six hours towards the cc:DH/HN certificate.

Date: Tuesday, March 26, 2024, 1:00pm – 3:00pm Pacific Time

Presenter: Vedant Bahel

Cultural Heritage Informatics Tools and Approaches
2024-04-02 00:00 - 23:59 | Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6, Canada
This day of workshops, led by Dr. Ethan Watrall (Michigan State University) and members of the Carleton X-Lab will explore various cultural heritage informatics tools and approaches, with a focus towards small/medium heritage/collections holding institutions and projects.

Introduction to Machine Learning: Neural Networks
2024-04-02 08:00 - 17:00
In this workshop, participants will dive into the fascinating world of neural networks. Neural networks have emerged as powerful models for solving complex and nonlinear problems. This workshop begins with an introduction to neural networks, covering their architecture, activation functions, and training algorithms. Participants will gain insights into how neural networks can effectively capture and learn complex patterns in images, making them ideal for tasks like recognizing digits. They will also learn about the importance of preprocessing techniques and streamlining the preprocessing, training, and evaluation steps through pipelines. By the end of this workshop, participants will have a solid foundation in neural networks and the ability to build robust pipelines using Scikit-learn. In this workshop, we will use cloud-based platforms, so you don’t need to have Python installed. Please make sure that you have a Google Colaboratory (https://colab.research.google.com/) account. This workshop will involve hands-on exercises that require the use of programming tools and libraries commonly used in machine learning, such as Python and Scikit-learn. As such, prior familiarity with Python programming is recommended for participants to fully benefit from the practical component of the workshop.

Date: Tuesday, April 2, 2024, 1:00pm – 3:00pm Pacific Time

Presenter: Vedant Bahel

Sign up for other Machine Learning workshops in this series.

View other upcoming Digital Scholarship workshops. If participants attend all of “Special Topics in Digital Scholarship” series, it counts as six hours towards the cc:DH/HN certificate.

Introduction to Natural Language Processing
2024-04-16 00:00 - 23:59
How do computers understand language? It seems impossible that zeroes and ones could ever add up to words that humans can understand, but machine language has come a long way in the past few years. Let us take you behind the code to explain how machines simulate language comprehension, and why it’s a far more complicated problem than “bonjour = hello”. This talk is aimed at an audience who is not necessarily familiar with computers or language comprehension, but would like a primer to the field, and what it can realistically do. We will explain natural language processing from the perspective of machines that cannot understand words, but capture semantic meaning by processing data.

This session will take place on:

Tuesday, April 16th – 1:00pm – 4:00pm (Atlantic time)

You do need to have a laptop with a Mac, Linux or Windows operating system (not a tablet, Chromebook, etc) on which you have administrative privileges, as you will need to pre-load specific software packages.

Participants must register using their institutional / organizational email address (not a personal email, ie. gmail)

Instructions for how to join will be sent out one day prior to the start of the event.

Understanding and Deploying the Basics of Generative AI
2024-04-29 00:00 - 2024-05-03 23:59 | St Francis Xavier University, 4130 University Ave, Antigonish, Nova Scotia, B2G 2W5, Canada
This four-day workshop (9AM-4PM) will outline the basics of contemporary machine learning to illustrate how Generative A.I., such as the text-based ChatGPT and the image-based DALL-E operate. This accessible technical description will be combined with critical readings from science and technology studies, critical digital studies, media studies, and digital humanities that interrogate A.I. from critical race, post-colonial, and feminist perspectives. This knowledge is not necessarily intended to make participants “experts” on the topics, but rather have scholars reflect on how such technologies can add further depth to their own research and provide them vocabulary and expertise to be able to collaborate with scholars who specialize in the technical elements of A.I. At the end of the workshop participants will synthesize these demonstrations and readings, alongside class discussions, and produce the outline for a future research paper and/or research creation project involving machine learning and/or Generative A.I.; instructors will provide one-on-one feedback and trouble-shooting on these projects over the four days.

Preserving Your Digital Scholarship Projects
2024-05-01 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Don’t lose all that hard work you’ve put into creating a digital scholarship project! With all the moving parts involved, digital scholarship projects can “break” two or three years after completion when preservation concerns aren’t considered. Websites require maintenance, platforms like Omeka and StoryMaps need version updates, file formats become obsolete – making projects interactive and accessible over the long-term can be complex. In this roundtable discussion, we’ll explore challenges in preserving digital scholarship projects, as well as tools & approaches to supporting their long-term access and use. We’ll conclude with a sandbox session where we share case studies and respond to participant questions.

Using Generative AI for Student Research
2024-05-01 00:00 - 23:59 | University of Victoria Libraries, 3800 Finnerty Road, Victoria, British Columbia, Canada
This workshop aims to equip participants with a basic understanding of Generative AI (GenAI) and the ethical implications of its use in student research. Participants will explore its use for idea generation, and literature reviews, and consider ethical considerations such as plagiarism, privacy, and research integrity. In the hands-on portion of the workshop, participants will explore GenAI tool usage and output evaluation for accuracy and biases. The workshop will also cover UVic policies, attribution methods, library resource integration, and campus support services, to encourage informed, responsible GenAI use.

Instructor: Christian Schmidt

Learning Objectives:

Understand Generative AI: Define Generative AI and explain its relevance and potential applications in student research.

Ethical Considerations: Discuss the ethical implications of using GenAI in academic work, including issues related to plagiarism, data privacy, and research integrity.

Apply strategies such as prompt design, critical review of terms and conditions, and adjustments to privacy settings to address GenAI ethics and safety issues

Explore Use Cases: Identify specific use cases of different GenAI in academic settings, such as literature review, idea generation, and data analysis.

Practical Applications: Demonstrate how to use Generative AI tools effectively for research purposes, including tips for generating useful outputs and refining queries.

Evaluate Quality and Reliability: Teach participants how to critically evaluate the outputs of Generative AI tools, including assessing accuracy, relevance, and potential biases.

Integrate with Research Workflow: Show how Generative AI can be integrated into the research workflow, from initial brainstorming to finalizing research papers.

Attribution: Cite outputs from GenAI tools using APA, MLA, IEEE, or other citation styles.

UVic Policies: Describe UVic policies and guidelines that relate to the use of GenAI, and understand their implications for academic integrity

Leverage Library Resources: Explain to a friend how GenAI tools integrate with traditional library resources to advance research and learning

Stay Informed: Be familiar with other places on campus, like LTSI, which can support you in the effective and appropriate use of GenAI

Instructor: Christian Schmidt

Data Management Plans (DMPs)
2024-05-02 00:00 - 23:59 | University of Victoria Libraries, 3800 Finnerty Road, Victoria, British Columbia, Canada
Aimed at grad students and faculty researchers, this lecture-style workshop reviews the key components of a data management plan (DMP) and offers guidance on using the DMP Assistant, a bilingual tool for preparing data management plans.

A DMP is a formal and evolving document that outlines the practices, processes, and strategies of the data you expect to acquire or generate during the course of a research project.

The Government of Canada has announced the Tri-Agency Research Data Management Policy. The policy aims to support Canadian research excellence by promoting data management practices.

Upon completion of this workshop, participants will:

Understand the importance of good research data management

Be familiar with the DMP Assistant

Be familiar with key data management planning considerations

Instructor: Monique Grenier

Intro to Infographics with Canva
2024-05-07 00:00 - 23:59 | University of Victoria Libraries, 3800 Finnerty Road, Victoria, British Columbia, Canada
Are you a UVic student, staff, or faculty member and want to learn more about creating infographics? If so, then this hands-on workshop will give you an introduction. Once you’ve completed this session you will be able to do or be aware of the following:

Know why and where infographics can be useful communication tools.

Determine which facts in a research paper or article are essential and which can be excluded in order to tell a compelling yet concise story.

Summarize and translate quantitative data into tables, charts, or graphical representations.

Summarize and translate quantitative information expressed in words into tables, charts, or graphical representations.

Where appropriate, integrate and summarize visual information from photographs, videos, or maps into a graphical representation.

Determine the best order and flow of information to create a visual narrative integrating the key tables, charts, and graphics.

Be able to use infographic software and associated templates to organize and present tables, charts, and graphical representations in a narrative that is aesthetically pleasing and compelling.

Be aware of the different mediums available to publish and share infographics: Poster, hand-out, website, and social media.

Instructor: TBA

From Data to Story: Crafting Digital Narratives with GIS
2024-05-08 00:00 - 23:59 | St Francis Xavier University, 4130 University Ave, Antigonish, Nova Scotia, B2G 2W5, Canada
Have you heard of, or been wondering about, Geographic Information Systems (GIS) and how it might benefit your work?

Are you an university researcher and looking to learn more about, gain access to, or be able to use ArcGIS Pro?

Are you looking to become familiar with the use of Storymaps as part of your research, assignments, or instruction on campus?

Then please attend this one-day, in-person workshop on Wednesday, May 8 at St Francis Xavier University!

This event is being hosted by an interdisciplinary team from St. Francis Xavier University representing the Digital Humanities Centre, Library and Aquatics Resources Program to assist those on campus who wish to learn about, refresh their knowledge or enhance their understanding of the capabilities of GIS.

This workshop will consist of both lecture and “hands-on” components, providing attendees with the necessary theoretical and practical experience to what GIS is, ArcGIS software and familiarity with the creation of Storymaps. This full-day (9AM-4:30PM) event will consist of 4 sessions that will explain what GIS, the software used, how it can be of benefit to your research and will introduce and guide participants through the creation of storymaps using ArcGIS Pro software.

There is no cost to attend this event, however registration is require as space is limited. (Lunch and snacks provided.) Open to all, regardless of discipline or career stage.

Instructor: Matt Schumacher

Link to Register

Linked Open Data Fundamentals
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
Linked Open Data (LOD) refers to a set of standards and practices that allow data to contribute to the Semantic Web. This introduction will cover how LOD works in theory and practice. It will provide an overview of various projects and tools for using and making it, with an emphasis on cultural data and on the suite of tools offered by the Linked Infrastructure for Networked Cultural Scholarship (LINCS). It will also touch on scholarly perspectives on LOD and the challenges and opportunities such data poses for humanities scholars as far as modelling, context, nuance, and honouring difference and specificity are concerned.

This workshop is suitable for anyone desiring an introduction to LOD and the Semantic Web, as well as anyone who is interested in an overview of what LINCS does, considering working with LINCS tools, or would like to know more about preparing data for publication through LINCS.

Led by Kim Martin and Sarah Roger

This is a Forward Linking (LINCS)-DHSITE workshop.

Ontologies and Vocabularies
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
This workshop dives into the Semantic Web with its possibilities for humanities research through exploring ontologies and vocabularies for Linked Open Data (LOD): providing an introduction to how they function in relation to data structure and creation, and how they impact data publication, querying, and visualization.

An understanding of the complementary roles played by OWL ontologies and SKOS vocabularies will lead into discussion of how to support critical approaches such as feminism, critical race, and Indigenous studies through ontology and vocabulary choices. Recognizing that ontologies and vocabularies both mobilize and constrain data, we will discuss how to evaluate the suitability of particular ontologies and vocabularies for particular approaches to research. Examples will draw on and also extend beyond the ontologies and tools offered by the Linked Infrastructure for Networked Cultural Scholarship (LINCS).

This workshop is suitable for anyone who is looking for a conceptual introduction to ontologies and vocabularies, and assumes familiarity with the core concepts of LOD.

Led by Susan Brown, Alliyya Mo, and Deb Stacey

This is a Forward Linking (LINCS)-DHSITE workshop.

Data Cleaning and Reconciliation with OpenRefine
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
OpenRefine is a free and easy-to-learn tool for changing and augmenting data. It has many uses, including cleaning and reconciling structured data (e.g., spreadsheets) in preparation for creating Linked Open Data (LOD). This workshop will provide a hands-on introduction to OpenRefine. Using sample data provided in the workshops, participants will be taught how to clean and reconcile. You do not need to have your own structured data to participate.

This workshop is suitable for anyone who is either new to OpenRefine or who is new to using it for cleaning, reconciling, and augmenting structured data. It is especially recommended for anyone who is interested in creating LOD with LINCS and would like a taster of the preliminary steps in the process.

Led by Natalie Hervieux and Sarah Roger

This is a Forward Linking (LINCS)-DHSITE workshop.

Playing with LINCS APIs
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
The Linked Infrastructure for Networked Cultural Scholarship (LINCS) has developed several Application fProgramming Interfaces (APIs) that enable developers to access LINCS datasets and tools. In this workshop, we will provide an overview of how LINCS data is modelled as Linked Open Data (LOD), and introduce participants to the LINCS authority service, LINCS API, and the Linked Data Enhancement API. These APIs allow developers to access LINCS services that can reconcile entities, perform named entity recognition (NER), clean and massage RDF data for researcher datasets, and look up entities and their properties in the LINCS datasets.

We will provide an overview of the available functionality and how to use it using example requests sent with Postman and cURL to the APIs. We will also look at a real-world implementation in the form of the LINCS Context Explorer, which is also available as a library for embedding within websites, demonstrating how linked data can enrich websites without modifying the underlying data.

This workshop is suitable for developers, researchers, and students with advanced technical skills who are interested in utilizing LINCS tools, and who know how to use APIs and understand the basics of LOD. We will canvas registrants in advance to discover their interests, and view this as an opportunity for connecting collaboratively with developers interested in leveraging linked data within their web environments.

Led by Alliyya Mo and Kim Martin

This is a Forward Linking (LINCS)-DHSITE workshop.

ResearchSpace: An Overview
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
This workshop will provide an overview of the ResearchSpace environment for linked data. ResearchSpace is a web-based tool for the storage, review, publication, and discovery of Linked Open Data. It allows users to search, browse, visualize, and edit existing LOD stored in the LINCS triplestore. LINCS has adapted ResearchSpace as a publishing platform to support users who want to explore LINCS’s datasets and researchers whose data is published with LINCS. Hands-on work will focus on creating knowledge maps and semantic narratives, and on editing and enhancing data within ResearchSpace

This workshop is suitable for those who would like an introduction to ResearchSpace and for those involved in LINCS projects who would like some hands-on time with some of its more advanced functionalities.

Led by Robin Bergart and Zach Schoenberger

This is a Forward Linking (LINCS)-DHSITE workshop.

Respectful Terminologies
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
Lead by the co-leads the National Indigenous Knowledge and Language Alliance’s Respectful Terminology Platform Project, this workshop will introduce the work of the RTPP which brings together community projects with a similar goal of respectful terminology for all, and to discuss needs and goals of a national, Indigenous-led platform for respectful terminologies.[full description coming soon]

Instructors: Stacy Allison–Cassin and Camille Callison

This is a Forward Linking (LINCS)-DHSITE workshop.

Editing and Publishing in TEI with LEAF-Writer
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
LEAF-Writer is a free web-based semantic editor that supports text encoding with the Text Encoding Initiative and linked open data annotation without users having to learn complex encoding. LEAF-Writer supports all the core functionalities of an XML editor including tagging and adding attributes, validation, and error feedback within a stylesheet-based what-you-see-is-what-you-get interface that can show or hide the tags. Workshop participants will get hands-on experience with LEAF-Writer’s extensive capabilities, choosing among TEI customizations that best support their work in diplomatic and/or semantic markup, adding inline scholarly notes and glosses, and even creating annotations – tagging named entities and associating them with recognized authorities like VIAF and Getty – that do double duty as in-text identifiers and potential contributions to the Semantic Web. The workshop will conclude with an overview of new LEAF and LINCS tools that will allow scholars to publish Linked Open Data created through LEAF-Writer to the Linked Infrastructure for Networked Cultural Scholarship.

LEAF-Writer runs in both a standalone version that is open to all, and is also a crucial component of the Linked Editing Academic Framework – Virtual Research Environment. This workshop will use the open LEAF-Writer Commons that uses Github for document storage and collaboration.

Led by Diane Jakacki

This is a Forward Linking (LINCS)-DHSITE workshop.

ResearchSpace Consultations
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
This is an opportunity for researchers who have data within LINCS, or prospective LINCS projects, to consult with LINCS developers and UX specialists about how their data works or will work in ResearchSpace. Possibilities for consultation include tuning search pages, reviewing how their data interacts with the entity summary pages, planning how in-progress datasets will appear, and reviewing other functionality as it pertains to the specificities of their data.

This workshop is suitable for current or prospective LINCS researchers.

Led by Robin Bergart, Jordan Lum, and Zach Schoenberger

This is a Forward Linking (LINCS)-DHSITE workshop.

Crafting Feminist Futures: Working with Archival Images
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
In this workshop we will work with visual artifacts, translating ideas contained in earlier protest items into the digital vernacular of memes that are so predominant in the present. By exploring different acts of translation between digital and the martial objects of feminist protest we will develop a stronger sense of the affective and rhetorical force of feminist visual culture and develop new tools and methods for advancing feminist critique in visual form for our future research and activism work.

Led by Shana MacDonald

This is a Forward Linking (LINCS)-DHSITE workshop.

Crafting Feminist Futures: Materializing Memes
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
In this workshop we will work with a digital repository of feminist memes and translate them into material form. By exploring these different acts of translation between digital and the martial objects of feminist protest we will as a group develop a stronger sense of the affective and rhetorical force of feminist visual culture and develop new tools and methods for advancing feminist critique in visual form for our future research and activism work.

Led Shana MacDonald

This is a Forward Linking (LINCS)-DHSITE workshop.

Introduction to Bibliometrics
2024-05-09 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
This bilingual workshop provides a practical introduction to bibliometrics, covering fundamental concepts and practical applications of publication and citation analysis in the context of research evaluation and science of science studies. Participants will gain hands-on skills in interpreting bibliometric indicators and in collecting, cleaning and analyzing bibliographic metadata from Web of Science and OpenAlex, using VOSviewer and Excel. Ethical issues, such as biases of databases and indicators, as well as responsible research assessment, will be addressed.

Led by Stefanie Haustein

This is a Forward Linking (LINCS)-DHSITE workshop.

Working effectively and responsibly with Matching Translation and GenAI
2024-05-09 08:00 - 17:00 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
In this bilingual workshop, we’ll work hands-on with machine translation and generative AI tools to discuss some of the important issues related to their use. We’ll explore good and not-so-good applications, identify common challenges and try out measures to help us overcome them, discuss possible short- and long-term impacts of using these tools, and explore some strategies for using MT and genAI to maximize benefits and minimize risks.

Led by Elizabeth Marshman

This is a Forward Linking (LINCS)-DHSITE workshop.

Humanités numériques : visualisation de données
2024-05-13 00:00 - 23:59
13 mai 2024 et 17 mai 2024

Atelier sur la sémiologie graphique et l’utilisation d’outils de visualisation.

Les ateliers sont admissibles au certificat si aucun crédit curriculaire n’a été obtenu.

Approaching Media Archaeology from a Digital Humanities Perspective: Introduction, Tools, and Techniques
2024-05-14 00:00 - 23:59 | University of Guelph, McLaughlin Library, Guelph, Ontario, Canada
Dates: 14th-17th May 2024

This workshop enables participants to examine the ways in which media archeology works as an effective research methodology for Digital Humanities (DH) scholarship. Extending from DH scholars such as Alan Liu (2012; 2013) and Matthew Kirschenbaum (2013), this course examines how media archeology is crucial to reckoning with the historical and ongoing targeting of marginalized and vulnerable individuals and populations, in particular those who are racialized and gendered, and sourcing what Ezikiel Dixon-Roman calls “hauntings” (2017) of technical progress, funding, data practices and other historical trajectories within contemporary media technologies.

As outlined by Erkki Huhtamo and Jussi Parikka, media archaeology is cross-disciplinary and nomadic, and its nimbleness and tolerance for multi-pronged analysis allow for a greater understanding of digital media’s “interactivity, navigability, and digital representation and transmission” (3; 2012). Media archeologies thus enable DH scholars to engage in inter-/cross-disciplinary conversations with scholars in science and technology studies, philosophy of science, DH and other disciplines. This course is intended for a wide audience interested in learning about media archeology as a digital humanities method to approach questions of knowledge and power. We welcome undergraduates, graduate students, and faculty to explore techniques of analyses that integrate digital humanities tools with historical research.

Instructors: Arun Jacob and Paula Sanchez Nuñez de Villavicencio

Making Connections: The Semantic Web for Humanities Scholars
2024-05-14 00:00 - 23:59 | University of Guelph, McLaughlin Library, Guelph, Ontario, Canada
Dates: 14th-17th May 2024

This modular workshop offers both a conceptual overview of Linked Open Data (LOD), a set of standards and practices that allow data to contribute to the Semantic Web, and a series of modules that will introduce participants to working with LOD, from workflows for data cleaning, creation, and publication to interacting with LOD through various interfaces for browsing, querying, and visualization. An initial introduction will cover how LOD works in theory and practice, and provide an overview of various projects and interactive tools. This introduction will be followed by modular sessions focused on various aspects of LOD creation and use, many featuring tools and workflows supported or hosted by the Linked Infrastructure for Networked Cultural Scholarship. The modular sessions will allow participants to focus on areas of interest or need, including ones related specifically to creating LOD from structured data (spreadsheets/databases), XML including TEI, and natural language, led by members of the LINCS team.

Those desiring a broad introduction to LOD and the Semantic Web, as well as those wishing to work with LINCS tools or preparing data for publication through LINCS, will benefit from this workshop. Sample data will be provided for those without their own datasets. If you plan to bring your own data, please be in touch with instructors in advance. Attention will be given throughout to scholarly perspectives on Linked Open Data and the challenges and opportunities it poses for humanities scholars as far as modeling, context, nuance, and honouring difference and specificity are concerned.

Topics include: Introduction to LOD fundamentals, projects, and tools; ontologies and vocabularies; data preparation, cleanup, and reconciliation; getting going with the SPARQL query language; exploring, refining, and creating data in ResearchSpace; exporting LOD to other tools; structured data conversion with X3ML; from TEI to LOD with XTriples and the LEAF-Writer XML editor; and how LINCS can create LOD from content in the Canadian Writing Research Collaboratory and other instances of LEAF (The Linked Editing Academic Environment).

Instructors: Members of the LINCS Team

Introduction to Python Data Analysis
2024-05-14 00:00 - 23:59 | University of Guelph, McLaughlin Library, Guelph, Ontario, Canada
Dates: 14th-17th May 2024

This course introduces students to core concepts in Python programming, data creation, and data analysis. The course assumes no prior programming or Python knowledge. Students will be introduced to the Python programming language and will use Python to collect, curate, and analyze data. They will create data structures, use programming libraries to manipulate and work with data, and develop their own functions. Students will learn to use APIs to connect their programs to external libraries and data sources and will engage in distant reading of social media.

Instructor: Paul Barrett

Uncovering Hidden Trends & Patterns Using Data Visualization
2024-05-14 00:00 - 23:59 | University of Guelph, McLaughlin Library, Guelph, Ontario, Canada
Dates: 14th-17th May 2024

Effective data visualization can make information consumable, convey important concepts and ideas and even make your arguments more persuasive. In this workshop we’ll examine the data visualization lifecycle. Learn to gather, create, clean, process, visualize, and share complex data: from numerical to text to network.

In this four-part workshop we will cover:

Finding and Getting Data – Learn how to find existing data, and strategies for creating your own.

Cleaning and Processing Data – Understand the process of identifying and fixing dirty data.

Visualizing Data – Use best practices to design, create, and refine data visualizations.

This workshop will have engaging demonstrations and participants will have a chance to practice with data and hands-on exercises related to the Digital Humanities. Participants will be required to bring their own laptop and software installation instructions will be provided prior to the workshop. At the end of the workshop, participants will be comfortable with using various tools to harvest, clean, and visualize. Core tools will include OpenRefine, Exploratory.io, Tableau, Voyant and Gephi.

Instructor: Jennifer Marvin

Text Analysis with Computation and Large Language Models
2024-05-14 00:00 - 23:59 | University of Guelph, McLaughlin Library, Guelph, Ontario, Canada
Dates: 14th-17th May 2024

This workshop will introduce students to the possibilities of analyzing text using computationally focused methods. This includes classic computational text analysis such as topic modelling, sentiment analysis, and word embedding. All of this and more available to everyone via open-source Python Libraries. However what is different is that this class will also delve into a new emergent area: analysis using large language models (LLM). Much is being said presently about LLMs and for better or for worse they are becoming a part of daily life for answering questions and attempting to automate certain tasks. What is novel is a research focused possibility to use LLM for something known as Retrieval Augmented Generation (RAG). With RAG an LLM is pre-seeded with a corpus of documents that it will refer to when generating responses. It is possible then to make natural language inquiries against the corpus in order to generate insights. There are limitations to this however as LLMs are notorious for drifting from the truth, but it is worth exploring the capabilities of such systems.

This class will provide learners an opportunity to walk through a complete analysis of a dataset using all of these computational methods to see the full gamut of what is possible. As a concluding activity participants will be encouraged to scaffold their own dataset into this developed framework to see what research insights they can produce.

Instructors: Tim Ribaric and John Fink
