International Women’s Day Celebration
March 15, 2025
8:30 a.m. - 4:00 p.m. CAT
A203
March 15, 2025
8:30 a.m. - 4:00 p.m. CAT
A203
Hosted by Women Techmakers in partnership with Women in Tech club of CMU-Africa and GDG-Kigali, International Women's Day (IWD) is the world’s largest celebration of women in tech, leadership, and innovation. In 2025, we continue to amplify the voices of women who are shattering boundaries, leading the way, and transforming industries across the globe.
With the theme "Redefine Possible," this event will explore how women are not only overcoming challenges, but reimagining the impossible—whether it’s in technology, entrepreneurship, or personal growth. From inspiring talks to hands-on workshops, this event will ignite new perspectives and create lasting impact.
March 12 2025
12:30 PM - 1:30 PM CAT
Carnegie Mellon University Africa
Guest Lecture: Helping Users Make Better Passwords (While Trying to Eliminate Passwords)
A203
March 13-14 2025
Carnegie Mellon University Africa
Research Symposium with CMU-Africa and University of Rwanda
A joint research symposium that explores collaborative research opportunities, shares insights, and strengthens partnerships between the two institutions.
CMU-Africa (Day 1), University of Rwanda (Day 2)
March 13 2025
2:00 PM - 3:00 PM CAT
Carnegie Mellon University Africa
Faculty Seminar: Teaching around AI
This is the second of two seminars on AI in higher education. This second seminar will concentrate on managing the direct use and indirect effects of AI on assignments.
F305
March 13 2025
4:00 PM - 6:00 PM CAT
Carnegie Mellon University Africa
CMU-Africa rooftop
March 14 2025
10:00 AM - 2:00 PM CAT
Carnegie Mellon University Africa
Webinar: The Future of Renewable Energy in Africa: Technologies, Opportunities and Challenges
The Energy and Embedded Systems Club hosts a webinar on International Clean Energy Day, exploring the future of renewable energy in Africa with an industry expert.
Virtual
March 14 2025
12:30 PM - 1:30 PM CAT
Carnegie Mellon University Africa
"Deep Computer Vision in Medical Image Analysis"
F307