Funding, News and Announcements

The following free sessions may be of interest to faculty and students.

Register via ACENET’s training portal:

Introductory Programming with Python
4, 6 March, 1300-1600hrs Atlantic

Join us for an engaging and interactive introduction to programming with Python. Whether you are a complete beginner or looking to strengthen your foundational knowledge, this workshop will provide you with the essential building blocks of Python programming. Throughout the sessions, you’ll build a strong foundation in Python by learning how to write and structure code, work with different types of data, and create dynamic programs using decision-making and loops. You’ll also explore how functions help organize your code and how libraries can expand your programming capabilities, making it easier to tackle more complex tasks. This hands-on experience will give you the confidence to start coding and problem-solving effectively.

Big Data Analysis with Apache Spark
11, 13 March, 1300-1600hrs Atlantic

Apache Spark is an open-source software for large-scale data processing and analysis. Using Apache Spark and Python (PySpark), this workshop is aimed at analyzing data sets that are too large to be handled and processed by a single computer. In a hands-on format using PySpark, participants will learn to import data, and use functions to transform, reduce and compile the data. You will also learn how to produce parallel algorithms that can run on the national clusters.

Foundations of Machine Learning
14 March, 1330-1630hrs Atlantic

Are you curious about machine learning but unsure where to start or whether it's the right fit for you? Join ACENET for an introductory session that explores the fundamentals of machine learning and its applications. We’ll break down key terminology—machine learning, deep learning, and neural networks—so you can confidently navigate the field. You'll learn about essential methods, from simple models like Linear Regression and Decision Trees for classification to more advanced techniques such as Support Vector Machines and Neural Networks—the foundation of Large Language Models. We’ll also discuss practical considerations for setting up a machine learning project, including the resources you need, data collection strategies, factors that contribute to success, and lessons to take away when things don’t go as planned.

Digital Humanities Summer Institute East 2025 (DHSI East)

The 5th annual DHSI East will be taking place in person May 5th to 8th at St. FX University. Hosted by the St. FX Digital Humanities Centre, faculty, staff, students, and all those interested are welcome. Participants can choose one of two concurrent workshops, and attend an aligned event.

Workshop 1:
Digital Sustainability and Preservation in Digital Archives Projects
Instructors: Dr. Constance Crompton, Canada Research Chair in Digital Humanities, University of Ottawa; Meghan Landry, ACENET

Workshop 2:
Introduction to Databases for Humanist Data
Instructor: Dr. Jon Bath, Associate Professor of Art and Art History, University of Saskatchewan

Keynote Lecture:
Reflections on Ethics and Justice in Metadata in the Age of AI
Speaker: Dr. Stacy Allison-Cassin, Assistant Professor, º£½ÇÉçÇøapp University

Aligned Event:
Explore the World of Gaelic Song and Digital Archives!

Registration is limited!
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