STREAM IT aims to initiate change about the persisting gender inequalities in STEM education, research, and innovation to contribute to the implementation of the ‘The European Manifesto for gender-inclusive STE(A)M education and careers’.


Empowering Educators, Inspiring Futures
Teachers are key to shaping students’ STEM aspirations, but gender stereotypes often hinder progress. The STREAM IT project’s National Inspiration Hubs bring together educators and community stakeholders interested in supporting gender equality in STEM/STEAM education, research and IT. The Hubs promote these goals by fostering collaboration, sharing best practices and addressing gender bias in teaching
Learn more about how we’re building a network of change across 13 participating countries.
The Numbers
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Latest News
AI in the 21st Century: Breaking Stereotypes, or Reinforcing Them?
A recent UNESCO study highlights how many AI models are reinforcing, rather than challenging, gender stereotypes. The report reveals troubling gender biases in AI systems, impacting areas like hiring and voice assistants. Let’s explore the study’s key findings and discuss steps to address and correct these biases to promote more equitable and inclusive AI development.
The Gender Gap in AI: Where are women in AI
Despite rapid advancements, women remain vastly underrepresented in AI. Join us as we explore the critical importance of including women in AI development and examine how technology created without diverse perspectives can inadvertently perpetuate biases and fail to address the unique needs of women.
Bridging the Gap: Overcoming Obstacles to Gender Equality in STEM Education and R&I
This research report details a sociological study from the “STREAM IT” project, aimed at encouraging girls and young women to pursue education in STEAM fields. It provides a comprehensive overview of women’s status in STEAM across Europe and identifies critical points in girls’ educational paths for targeted interventions.
How AI Algorithms Can Reinforce Gender Bias—and What We Can Do About It
As we encourage diversity in science and technology, it’s crucial to address a hidden challenge: the gender biases embedded in AI systems. Dive with us in Genevieve Smith and Ishita Rustagi article, to discover how even advanced algorithms can inadvertently reinforce outdated stereotypes.
National Inspiration Hub Workshop Organised by STEM ISLAND
On November 15th and 18th, STEM ISLAND organised a workshop for the STREAM IT consortium members with the main objective of elaborating on the D4.2 Toolkit for the establishment and maintenance of the National Inspiration Hubs (NIHs).
A recap of the 2nd STREAM IT General Assembly
The STREAM IT consortium gathered online for a significant 2nd General Assembly meeting on November 8, 2024. This gathering united project partners to reflect on the accomplishments of the first ten months and to deliberate on the future roadmap.
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