Early Career Development Activities
ASTDA/IUSTI-Canada Early Career Development Symposium
We welcome Early Career Researchers from North America to submit an application to attend the ASTDA/IUSTI-Canada Early Career Development Session, to be held July 27, 2025 from 9:00 – 16:00 at the STI & HIV World Congress in Montreal, Quebec, Canada.
Tentative Schedule (subject to change)
9:00-9:20 Welcome and Opening remarks
Invited Speakers
9:20-9:50 Funding opportunities in the US and Canada
9:55-10:15 How to get published
10:20-10:40 Engaging industry – when (stage of research) and how (process)
10:40-11:00 Coffee break
Panel Discussions
11:00-11:20 Thorny issues in collaborations
11:25-11:45 Effective science communication to diverse and/or non-scientific audiences
11:50-12:10 Career opportunities beyond the traditional academic path
12:10-12:50 Lunch break
12:50-1:20 Empowerment – career negotiations and mentoring expectations
Breakout sessions
Table 1: Balancing clinical, research and teaching
Table 2: How to grow your network/increase visibility
Table 3: Community engagement
Table 4: Engaging clinical collaborators in translational research projects
1:25-2:20 Breakout session #1
2:20-2:40 Coffee break
2:40-3:35 Breakout session #2
3:35-4:00 Closing remarks
Early Career Networking Workshop
Tentative Schedule (subject to change)
17.30 – 17.40 | Introduction & Icebreaker
17.40-17.50 | Why Networking Matters in Research/academia
17.50 – 18.05 | Practical Networking Strategies
18.05 – 18.20 | Hands-On Practice: Simulated Networking
18.20 – 18.30 | Building a Personalized Networking Plan
18.30 | Q&A and final tips
Data Visualization for Beginners – Python and R
WEDNESDAY, JULY 30 | 11:30-13:30
Objectives:
• Understand key principles of effective data visualization
• Learn the basics of Python and R for data manipulation and visualization
• Create simple plots using Matplotlib, Seaborn (Python) and ggplot2 (R)
Tentative Schedule (subject to change)
11:30 – 11:40| Introduction to Data Visualization & Programming Basics
11:40 – 12:30 | Python for Data Visualization
12:30 – 13:30 | R for Data Visualization