As part of Worldwide Conference Organized by Stanford University. The Female Education Department Organizes a Workshop for Women in Data Science (WiDS)

Nov. 30, 2020  |   Events

The Female Education division at King Fahd University of Petroleum & Minerals, with the support of its supervisor, Dr. Sulaiman Al-Humaidan, organized a workshop for women in data science as part of the annual Stanford Worldwide Conference, which was held for the first time in the Eastern Province of the Kingdom of Saudi Arabia.

The workshop aims to empower women and support their role in the fields of artificial intelligence and information technology, which have become integral to all aspects of modern life and the main key in all areas of life.

المرأة في علم البيانات
Participants and organizers of the event from the Female Section

This distinctive event, which was held on 28 November via the Zoom platform, is the first of the activities of the Female Education, which was established in 2019.

The event was attended by more than 150 participants, including students and faculty members.

WiDS@Dhahran Ambassador, Dr. Rabeah Alzaidy, who organized the workshop with her team led by Dr. Iman AlMajdouie, pointed out the importance of this event in informing the University community, students, and attendees from the Kingdom at large about the important role of artificial intelligence and information technology in our daily life.

It confirmed the rapid development of this technology and its involvement in various scientific fields such as biology and energy.

المرأة في يعلم البيانت- المشاركات
Honoring the participants in the workshop with Dr. Rabiaa Al-Zaydi and Iman Almajdouie

The workshop activities varied as the program presented four distinguished female speakers in this field from different parts of the world. It also allowed the participation of three MS students in computer science at the university.

Dr. Alzaidy emphasized the contribution of King Fahd University of Petroleum & Minerals in its efforts to highlight the role of women in data science and developing related technologies.

For more information about the event, please visit the website: