ABW Café Series

In honour of International Women’s Day happening this month, in this edition of the ABW Café, we learned more about the presence of gender bias in the data pipeline.

The Talk

Data are used everywhere: Ranging from Healthcare to Marketing and Finance, the way we analyze information holds considerable influence in society. In many fields, data analytics has the potential to either sustain prevailing societal inequalities or transform them – however, data are often riddled with biases. To stimulate discussion around this topic and connect stakeholders, Myrthe Blösser and Paulina von Stackelberg started FemData in August 2023. With FemData, they specifically focus on the ways that gender biases can distort model outcomes by influencing the collection, labelling, and interpretation of data, leading to skewed insights and perpetuating inequality. In this talk, Myrthe and Paulina introduced their initiative and provided some examples from previous research on the topic of gender bias in data applications.

About The Speakers

Myrthe Blösser is a PhD candidate in consumer psychology with the Marketing group of Amsterdam Business School. In her research, she examines different tools to help citizens with low AI literacy protect themselves against unfair and discriminatory AI.

Paulina von Stackelberg is a PhD candidate in Business Analytics at the University of Amsterdam. Her research revolves around prediction models for time-dependent data in healthcare and renewable energy. Furthermore, she is interested in the social context surrounding data applications.