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The Role Models who Empower Young Girls for STEM Fields in Pakistan

STEM education is revolutionizing society by giving students a new outlook and a set of adaptable abilities that are useful in a variety of...

Women belong in the Lab: Science, gender and revolution in Lessons in Chemistry

Women belong in the kitchen Lab: Science, gender and Revolution in Lessons in Chemistry Lessons in Chemistry, a show set in the mid-20th century and...

Sara Sultan’s Groundbreaking Research on Thermal Energy Storage inspires millions of Pakistani Girls

Women’s presence in non-traditional sectors like energy remains minimal. A 2018 baseline study by the Women in Energy Network of Pakistan reveals that women...

Fostering Equity and Inclusion in Pakistan’s STEM Landscape

In recent years, Science, Technology, Engineering, and Mathematics (STEM) education has been dramatically emphasized worldwide and demands the need for equity and inclusion. Although...

Tales of Women Pioneers in Astronomy: From Aprons to Space

The outstanding achievements of women astronomers who shattered gender norms, leaving an indelible mark on our comprehension of the cosmos.

Breaking the Odds in Field Epidemiology in Pakistan

“My journey as an epidemiologist involved in frontline response and emergency preparedness is a testament to my training, areas of expertise, and commitment to public health and saving lives.” ~ Dr Nadia Jamil Qureshi

Beyond Pulsars: Jocelyn Bell’s Journey of Discovery and Empowerment

"Always look for anomalies. No wonder what lies in there!"

Female Educational Leaders in Science and Technology

From recruitment and selection to retirement, women struggle to navigate their careers in gender inequality atmosphere.

“Picture a Scientist” Unveils the Struggles and Triumphs of Women in STEM

The documentary "Picture a Scientist" stands out as a potent and moving depiction of the difficulties experienced by women in Science, Technology, Engineering, and...

Women in AI— Breaking the Glass Ceilings

The workforce in AI is male-dominant, with only 20% of employees in technical roles at significant machine learning companies being women.

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