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#PushingTheBoundaries: Perspective shapes Research

#PushingTheBoundaries: Perspective shapes Research

February 11 – International Day of Women and Girls in Science

Academia often likes to see itself as a meritocracy: a system in which talent, excellence and hard work alone determine success. Especially in STEM, this belief is deeply ingrained – and deeply comforting.

Yet data consistently tells a more complicated story.

Across Europe, women remain underrepresented in science and research. Germany, in particular, continues to lag behind the European average – not because of a shortage of qualified women, but because structural barriers persist across career stages. Research shows that bias plays a significant role in shaping academic careers.

In experimental studies, male scientists in STEM were found to rate fabricated “studies” claiming that there is no gender bias as more convincing than real, peer-reviewed research demonstrating its existence. This reveals how strongly the idea of a bias-free meritocracy is defended – even in the face of evidence.

The consequences are measurable. Research shows that, even at comparable levels of qualification and productivity, women are less likely to receive research funding, informal mentoring or sponsorship, or to benefit from the same career opportunities as their male colleagues. Over time, these differences accumulate and contribute to the persistent loss of women throughout academic careers – a phenomenon often described as the “leaky pipeline”.

Over the coming weeks until 8 March, we will highlight the perspectives of our female professors - here on our website and on our LinkedIn channel. Their research, their paths, and their experiences are part of this system – and part of the conversation about how responsibility, leadership and perspective can drive change.

But we also want to look beyond individual success stories and focus on structures: on who is visible, who is believed, who is supported – and who shapes research.

Excellence is not diminished by diversity. It is shaped by it.

 

Inspiration and references from “Invisible Women – Exposing Data Bias in a World Designed for Men” by Caroline Criado Perez

Fake “studies”