In loving memory of a friend and colleague, Ms. Sana El Hajj, WiDS @AUB 2024 Ambassador
The Initiative
WiDS at AUB is an independent event organized by the Suliman S. Olayan School of Business to be part of the WiDS Worldwide mission to increase the participation of women in data science and to feature outstanding women doing outstanding work. Everyone isinvited to attend. WiDS AUB is the largest regional event, bringing in Arab and international female leaders in Data Science to Beirut. The general theme for WiDS @AUB 2024 is "Data Science in Humanitarian Crises", with high profile female speakers sharing the best practices and latest advances in the field of data science in a variety of domains. Registration is free of charge.
Theme and Sub-themes for WiDS @AUB 2024
Theme: Data Science in Humanitarian Crises
With the following tracks:
Track 1: Truths, Lies, and GenAI: Data Fabrication and Detection
Track 2: Data Science for Humanitarian Logistics and Supply Chains in Conflict Zones
Track 3: Healthcare in Crises: Augmenting Decision-Making to Optimize Care in Conflict Zones
Track 4: Measuring Data-Driven Impact Assessments
A panel discussion:
Generative AI: What's Beyond the Hype
and parallel sessions and workshops
Guide. Inspire. Educate
The Women in Data Science at the American University of Beirut Initiative aims to inspire and educate data scientists, regardless of gender, and support Arab women in the field. This one-day technical conference provides an opportunity to hear about the latest data science research in different fields, learn how leading-edge companies are leveraging data science for success, and connect with potential mentors, collaborators, and others in the field. The event is directed towards business professionals, researchers, students.
Why Women in Data Science at AUB?
WiDS AUB creates a platform for data scientists in the Middle East and North Africa (MENA) region to:
- Promote a higher representation of women in data science in the MENA region
- Expose the latest data science research and practices globally and particularly in the Arab Middle East
- Exchange ideas, encourage mentorship, and interdisciplinary collaboration
- Connect regional researchers and practitioners to pioneering global data science networks