Please ensure Javascript is enabled for purposes of website accessibility

COSS2025: Text Mining

Text Mining

This workshop introduces the topic of text mining and its applications. It covers different encoding mechanisms to convert text into numbers that algorithms can handle. It gives an overview of different text mining tasks, including de-identification, sentiment analysis and document clustering, and how they work with examples and live demos. There will also be references to state-of-the-art tools and libraries to conduct various text mining tasks.

Compute Ontario Summer School 2025

Compute Ontario Summer School is delivered by experts in the field, these sessions cover a wide range of topics including Advanced Research Computing (ARC), High Performance Computing (HPC), Research Data Management (RDM), and Research Software (RS). With presentations and workshops available at introductory to intermediate levels, there is something for everyone.

COSS2025: Introduction to Python

Introduction to Python

This course is designed to provide you with a solid foundation in Python programming language. Through a comprehensive curriculum and hands-on coding exercises, participants will learn the fundamentals of Python syntax, data types, functions, and file handling.

By the end of the course, you will have gained the essential skills to write Python programs, solve problems, and build the foundation for more advanced Python development.

Whether you are a beginner or have some programming experience, this course will equip you with the necessary tools to start your journey in Python programming.

Compute Ontario Summer School 2025

Compute Ontario Summer School is delivered by experts in the field, these sessions cover a wide range of topics including Advanced Research Computing (ARC), High Performance Computing (HPC), Research Data Management (RDM), and Research Software (RS). With presentations and workshops available at introductory to intermediate levels, there is something for everyone.

COSS2025: Data Preparation for Machine Learning

Data Preparation for Machine Learning

This single-session course provides you with essential knowledge and skills to effectively prepare data for analysis. Starting with an overview of the Data Analytics pipeline and processes, the session explores various statistical and visualization techniques used in Exploratory and Descriptive Analytics to understand historical data. You will then delve into the art of Data Preparation, gaining expertise in data cleaning, handling missing values, detecting, and handling outliers, as well as transforming and engineering features.

By the end of the session, you will be equipped with the necessary tools to ensure data quality and integrity, enabling you to make informed decisions and derive valuable insights from their data.

Compute Ontario Summer School 2025

Compute Ontario Summer School is delivered by experts in the field, these sessions cover a wide range of topics including Advanced Research Computing (ARC), High Performance Computing (HPC), Research Data Management (RDM), and Research Software (RS). With presentations and workshops available at introductory to intermediate levels, there is something for everyone.

COSS2025: Introduction to C

Introduction to C

This course introduces the fundamental concepts of programming such as conditional statement, loops (while and for), arrays, pointers, functions, and dynamic memory allocation.

No programming experience will be assumed or required.

Compute Ontario Summer School 2025

Compute Ontario Summer School is delivered by experts in the field, these sessions cover a wide range of topics including Advanced Research Computing (ARC), High Performance Computing (HPC), Research Data Management (RDM), and Research Software (RS). With presentations and workshops available at introductory to intermediate levels, there is something for everyone.

2025 Compute Ontario Summer School

We are excited to announce that registration is NOW OPEN for the highly anticipated 2025 Compute Ontario Summer School! Taking place from June 2 to June 20, the Compute Ontario Summer School offers a comprehensive curriculum packed with over 40 courses.

Compute Ontario Summer School is delivered by experts in the field, these sessions cover a wide range of topics including Advanced Research Computing (ARC), High Performance Computing (HPC), Research Data Management (RDM), and Research Software (RS). With presentations and workshops available at introductory to intermediate levels, there is something for everyone.

Highlights of the Summer School:

  • It’s free!

  • All courses delivered online; many courses include hands-on components

  • Course levels range from beginner to advanced

  • Topics covered include:  AI, machine learning, bioinformatics, GPU programming, high-performance computing tools, programming languages, and more.

COSS 2025 is presented by ACENET, CAC, Compute Ontario, SciNet, and SHARCNET, in partnership with Bioinformatics.ca, Digital Research Alliance of Canada, HPC4Health, Ontario Brain Institute, OICR, RDM Network of Experts, and Scholars Portal.

Please note that space is limited, so we encourage you to register as soon as possible!

Building Campus Strategies for Coordinated Data Support

CAC joins Queen's in new project dedicated to coordinated data support services

Researchers are producing unprecedented amounts of data and data intensive research is growing rapidly across disciplines. Research data support services offered at universities are often siloed, which can cause inefficient duplication of services and significant gaps in programming and support. As a result, there is a need to develop a strategic, unified approach to providing data support services to ensure researchers have access to the tools and resources they need.

To address these challenges, we are pleased to announce that the Centre for Advanced Computing at Queen’s University is amongst the institutional partners participating in Ithaka S+R’s initiative, “Building Campus Strategies for Coordinated Data Support,” a cohort-based project with 29 universities across Canada and the US. This two-year initiative will support the Queen’s research community through several deliverables that aim to ensure the future viability of research data support services in the following ways:

  • Catalogue and analyze the research data services currently offered locally 
  • Investigate the experiences of faculty and students in navigating and accessing existing research data services at Queen’s and identify current barriers and gaps 
  • Build tools to assist researchers in navigating existing research data services 
  • Develop strategic plans for better coordination of current and future services 

In addition, the project will contribute to developing an international benchmarking dataset on current data support services, which will in turn inform our own strategic planning processes. This project aligns with the University’s Strategic Goals to inspire research excellence and advance social impact and sustainability; enhance research and teaching integration; and strengthen the University’s impact on a global scale.

Watch for project updates on progress and for an invitation to members of the Queen’s community participate in interviews to help the implementation committee better understand researcher experiences with current research data services and identify additional support requirements.

We are delighted to have assembled a project team and steering committee with stakeholders from across the University. We would like to thank the Queen’s University Library for funding this initiative.

For questions about the project, please reach out to rdm.library@queensu.ca.

Project team members include

Meghan Goodchild, Principal Investigator (Queen’s University Library) 

Alexandra Cooper (Queen’s University Library) 

Elise Degen (Centre for Advanced Computing) 

Rebecca Pero (Vice-Principal Research Portfolio) 

Nevil Silverius (Centre for Advanced Computing) 

Steering committee members include

Mark Asberg (Vice-Provost and University Librarian)

Sandra Morden, Head of Digital Initiatives and Open Scholarship, Queen’s University Library

Betsy Donald (Associate Vice-Principal Research)

Nicole Hunniford (Executive Director, Finance & Administration, Vice-Principal Research / Interim Director, Advanced Research Computing)

Kent Novakowski (Associate Vice-Principal Research)

About Ithaka S+R

Ithaka S+R is a non-profit organization that offers research and consulting services to libraries, publishers, scholarly societies, universities, and other non-profit organizations, and produces public research reports to advance research and teaching in sustainable ways.

NVIDIA Graduate Fellowship Program

The NVIDIA Graduate Fellowship Program provides funding in the amount of up to $60,000 per award to PhD students who are researching topics that will lead to major advances in accelerated computing and its applications. Recipients not only receive crucial funding for their research but are able to conduct groundbreaking work with access to NVIDIA products and technology. 

Applications for 2024 are now open.

ISED approves funding for digital research infrastructure (DRI) initiatives

The Digital Research Alliance of Canada is pleased to announce that Innovation, Science and Economic Development Canada has approved funding of up to $228.3 million over the next two years for Digital Research Infrastructure initiatives related to high performance computing, data management, quantum and more that will directly benefit Canada’s researchers.

Digital Research Alliance of Canada survey on cloud services in research now open

The Digital Research Alliance of Canada (the Alliance) has launched a survey to better understand how Canadian researchers use the Alliance community cloud or commercial cloud services and to inform the development of a National Cloud Strategy. Researchers and research staff from all disciplines are encouraged to fill out the survey. Findings will help to identify gaps in cloud service provision and improve the functionality of the Alliance Cloud, to better serve the research community. 

The survey will be open until February 6.