In addition to your research projects, SUDS Scholars across all research opportunities are provided with a full set of data sciences networking, academic, and professional development opportunities. Scholars must attend a minimum of 75% of the weekly activities – professional development, speaker sessions, and networking, and also participate in the orientation, DSI SUDS Research Day, submitting an abstract of their SUDS research.
The listing of sessions can be found below. We are aiming to offer activities in a hybrid form. Thus, students have the option to participate in person or virtually. Any in-person events will be held at the DSI – see here for location.
For this year’s programming, the DSI is partnering some programming with the University of Toronto’s School of Cities.
| May | ||
|---|---|---|
noon to 1:30 pm ET In-person |
Welcome & Orientation | Welcome to the Data Sciences Institute: Inspiration and opportunities Prof. Laura Rosella, Dalla Lana School of Public Health, and Associate Director, Education & Training, Data Sciences Institute, University of Toronto |
2-4:30 pm ET In-person & virtual |
Data Science Bootcamp |
Unix Shell Delaram Pouyabahar, Data Sciences Institute Doctoral Student Fellow; Department of Molecular Genetics, University of Toronto |
10 am to 12:30 pm ET In-person & virtual |
Data Science Bootcamp |
Git and GitHub I Delaram Pouyabahar, Data Sciences Institute Doctoral Student Fellow; Department of Molecular Genetics, University of Toronto |
1:30-4 pm ET In-person & virtual |
Data Science Bootcamp |
Git and GitHub II Delaram Pouyabahar, Data Sciences Institute Doctoral Student Fellow; Department of Molecular Genetics, University of Toronto |
10 am to 12:30 pm ET In-person & virtual |
Data Science Bootcamp |
Introduction to Python Dr. Sofia Ruiz Suarez, Data Sciences Institute Postdoctoral Fellow |
1:30-4 pm ET In-person & virtual |
Data Science Bootcamp |
Python and Data Analytics Dr. Sofia Ruiz Suarez, Data Sciences Institute Postdoctoral Fellow |
10 am to 12:30 pm ET In-person & virtual |
Data Science Bootcamp |
Introduction to R Navona Calarco, Department of Medical Biophysics, University of Toronto |
1:30-4 pm ET In-person & virtual |
Data Science Bootcamp |
R for Reproducible Scientific Analysis Navona Calarco, Department of Medical Biophysics, University of Toronto |
10 am to 12:30 pm ET In-person & virtual |
Data Science Bootcamp |
Introduction to Machine Learning I Si Long (Jenny) Tou, Institute of Biomedical Engineering, University of Toronto |
1:30-4 pm ET In-person & virtual |
Data Science Bootcamp |
Introduction to Machine Learning II: Basics of Natural Language Processing Si Long (Jenny) Tou, Institute of Biomedical Engineering, University of Toronto |
2-4:30 pm ET In-person |
Professional Development Session |
Visualization: Figures First Dr. Sarah Treit |
10-11 am ET In-person & virtual |
Data Science @ Work |
Jesse Coleman, City of Toronto Transportation Data & Analytics Unit; Lia Milito and Fahim Hassan, Ontario Digital Services (ODS) Offered by the School of Cities Room 1180, Bahen Centre, 40 St. George Street |
4-6 pm ET In-person |
Data Science Social |
Pizza Social! |
| June | ||
3-4 pm ET In-person & virtual |
Data Science @ Work |
Accelerating Machine Learning Development with GitHub Copilot Zia Babar, PhD, Director, Cloud Engineering, PwC Canada |
3-4 pm ET In-person & virtual |
Data Science @ Work |
The Essential Building Blocks Data and AI Ethics Carter Cousineau, Vice President, Data and Model Governance, Thomson Reuters and Precious Erugo, Senior Business Analyst, Thomson Reuters |
3-4 pm ET In-person & virtual |
Professional Development Session |
How to write a scientific abstract Dr. Patricia Luedecke, Victoria College Writing Centre |
4-6 pm ET In-person |
Data Science Social |
Social with Empanadas! |
| July | ||
2-4:30 pm ET In-person |
Professional Development Session |
Research Poster Design Workshop Dr. Sarah Treit | Deadline for SUDS Scholar to submit their SUDS project research abstract. Please follow this guideline. |
3-4 pm ET In-person & virtual |
Professional Development Session |
Tips for Scientific Presentation Prof. Laura Rosella, Dalla Lana School of Public Health, and Associate Director, Education & Training, Data Sciences Institute, University of Toronto |
3-4 pm ET In-person & virtual |
Data Science @ Work |
Practical implications of big data for economic research Chris Henry, Senior Economist, Currency Department – Economic Research and Analysis, Bank of Canada |
3-4 pm ET In-person |
Professional Development Session |
What’s Next? Your Career Questions Ketheisan Vigneshwaran, B.Math., B.Ed., Career Educator, UofT Career Centre |
3-4 pm ET In-person |
Professional Development Session |
How to Talk to Strangers: Tips for successful networking Dr. Beth Munro, Hospital for Sick Children | 4-6 pm ET In-person |
Data Science Social |
Social! |
| August | ||
10 am to 2 pm ET In-person |
SUDS SHOWCASE DAY! |
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