Data Science and Health 2021: Impact and Lessons Learned From the COVID-19 Pandemic
Time limit: 365 days
Full course description
The Data Science and Health Cluster (DASH) invites you to our 2nd annual Data Science and Health Continuing Professional Development (CPD) event!
Building momentum from Data Science and Health 2020, this year's theme will focus on the Impact and Lessons Learned From the COVID-19 Pandemic. This event is designed to address the need for health care providers to improve their understanding of current data science concepts related to health care research, and how to optimally integrate data science into the delivery of care. We are hoping to craft a program that serves as an accessible introduction to data science for clinicians while reflecting on lessons learned from the COVID-19 response.
*Registration is free for students and residents. For promotion codes, please complete our Student and Resident Registration Form. (If survey shows as expired, please email firstname.lastname@example.org)
*We have a limited number of tickets available for non-students/trainees who require financial support for registration. Please leave your contact information here.
- 1-year access to online presentations through Canvas beginning late October 2021 from leading UBC data scientists and health researchers, for basic introduction to data science through self-paced learning.
- A live virtual event featuring guest presentations and interactive discussions, with a focus on audience engagement. The event will take place on November 09, 2021 12:00 pm – 4:30 pm via Zoom.
- Access to workshop series in collaboration with the Faulty of Applied Sciences to help keep the momentum going. Partner with engineers to apply what you've learned and move your data science project forward.
To maximize the opportunities for interaction, we have focused our live Zoom event on discussions and opportunities for participants to ask questions. All supporting lectures will be delivered through the online learning platform, Canvas, to allow self-paced learning and self-evaluation, as well as ongoing access to resources, discussion boards, and a community of learners. Canvas courses are designed to provide participants with a basic introduction to data science and analytics for enhanced understanding of its present applications, which will be covered during the live Zoom event. To help our community transition from learning about data science to doing data science, we have partnered with the Faculty of Applied Sciences to develop an ongoing workshop series focused on building collaborative research partnerships across disciplines including medicine, data science, statistics, and engineering.
*The views, information, and opinions expressed during Data Science and Health 2021 are solely those of the speakers and do not necessarily represent those of the DASH Cluster.
Canvas online learning
- Data Science: What is it?
- Introduction and broad overview, terminology, impact, and applications in health research and clinical care.
- Artificial Intelligence, Machine Learning, Deep Learning
- Natural Language, Signal, Image Processing
- Data Science: How do you do it?
- Basics of Statistics & Programming
- Orientation to R and Python
- Algorithms & Data structures, Iteration, Flow control
- Program design relevant to data exploration and analysis
- Accessing Computing Resources: Compute Canada, UBC ARC Sockeye, UBC Cloud Innovation Centre
- Data Science: How do you speak the language?
- Communicating data science findings
- Data Science: How do you use it in health research?
- Applications in Cognition
- Artificial Intelligence in Echocardiography
- MS, MRI, and Deep Learning
- Emergency Medicine and Digital Health
- Applications in Personalized Oncogenomics
- Data Science in Health Research and Innovation
- BC Digital Supercluster: Funding, Partnership, Innovation
- Digital Innovation Science
- WelTel: Case Study in Innovation
- MetaOptima: Case Study in Innovation
- Data Science in Health Care Management and Delivery
- PopData BC: Leveraging Administrative Data for Health Research
- Federated Learning: Privacy in the Era of Big Data and Artificial Intelligence
- The Role of Data Analytics in Health Care: Perspectives and Future Directions
- Opening Remarks
- Dr. Anita Palepu, Head, Department of Medicine, UBC
- “Data-Driven Decision Making” Session
- Dr. Muhammad Mamdani, Vice President, Data Science and Advanced Analytics, Unity Health Toronto
- Andy Tai, Masters Student in Neuroscience, UBC
- Dr. Stephen van Gaal, Neurologist, Vancouver Stroke Program
- “Learning about COVID-19” Session
- Dr. Kim McGrail, Scientific Director, Population Data BC & Health Data Research Network Canada
- Dr. Al Ozonoff, Associate Professor of Pediatrics, Harvard Medical School
- Dr. Adeera Levin, Professor and Head, Division of Nephrology, Department of Medicine, UBC
- “Ethical and Social Implications of Data Science” Session
- Dr. Caroline Colijn, Canada 150 Research Chair & Professor, Department of Mathematics, Simon Fraser University
- Dr. Apurva Narayan, Assistant Professor, Department of Computer Science & School of Engineering, UBC Okanagan
- “Building a Learning Health System: How has COVID-19 moved us forward?” Session
- Dr. Alan Rabinowitz, Co-Founder & Chief Medical Officer, PHEMI
- Dr. Ehsan Karim, Scientist & Biostatistician, Centre for Health Evaluation and Outcome Sciences
- Dr. David Patrick, Professor, School of Population and Public Health, UBC
- Dr. Richard Lester, Co-Founder & Director, WelTel
The Workshop Series is designed to build momentum in our community, and help the transition from learning about data science to doing data science. We have partnered with the Biomedical Imaging and AI Cluster to develop a workshop series focused on building collaborative research partnerships between clinicians and data scientists. Partner with engineers to apply what you've learned and move your data science project forward!
- Engineering Perspective
- November 24, 2021 | 4-5pm
- This workshop will cover the basics of AI and its potential and limitations to address clinical problems. We'll cover necessary inputs and feasible outcomes while clarifying what AI can and can't do. You'll leave this workshop with an understanding of AI's capabilities and limitations and what's required to collaborate on an AI project.
- Clinical Perspective
- January 2022 (TBD)
- Share the clinical challenges you face and get insight on potential data science solutions from a team of engineers focused on health applications.
- Monthly Workshops
- January - June 2022 (TBD)
- Clinicians will be matched with the engineers to develop data science solutions to health care challenges. Monthly meetings with mentors and peers will help keep projects on track, enable knowledge sharing, and build collaborative links between our health care and engineering communities. Grant development support available to prepare for internal and external funding opportunities in Fall 2022.
Scientific Planning Committee
- Thalia Field, MD, MHSc, FRCPC
Associate Professor, Division of Neurology, UBC Department of Medicine
- Marianne Ho-Asjoe, MD, CCFP
- Raymond Ng, PhD
Professor, Computer Science; Director, UBC Data Science Institute
- Anita Palepu, MD, MPH, FRCPC, MACP
Head, UBC Department of Medicine; Professor, Division of General Internal Medicine, UBC Department of Medicine
- Alan Rabinowitz, MD
Associate Professor, Division of Cardiology, UBC Department of Medicine
- Scott Tebbutt, PhD
Professor, Division of Respiratory Medicine, UBC Department of Medicine
- Teresa Tsang, MD, FRCPC, FACC, FASE
Associate Head, Research, UBC Department of Medicine; Professor, Division of Cardiology, UBC Department of Medicine
The University of British Columbia Division of Continuing Professional Development (UBC CPD) is fully accredited by the Committee on Accreditation of Continuing Medical Education (CACME) to provide study credits for continuing medical education for physicians. This event is an Accredited Group Learning Activity (Section 1) as defined by the Maintenance of Certification Program of the Royal College of Physicians and Surgeons of Canada, and has been approved by UBC CPD for up to 9.0 MOC Section 1 Group Learning credits. This program meets the certification criteria of the College of Family Physicians of Canada and has been certified by UBC CPD for up to 9.0 Mainpro+ Group Learning credits. Each physician should claim only those credits accrued through participation in the activity.
For more information, please visit our event page.