Data have a very powerful influence: they can sustain prevailing societal inequalities, but they also have the potential to transform them. To stimulate discussion about bias in data and to connect stakeholders, FemData was started in August 2023. FemData focuses on the ways that gender biases can distort the model outcomes by influences the collection, labeling, and interpretation of data, leadin to skewed insights, and perpetuating inequality. In this talk, Paulina and Myrthe will introduce their initiative and provide some examples from previous research on the topic of gender bias in data applications. 

Learn more about FemData on femdata.nl

After the talk, we invite you to participate in a discussion with the speakers. Share your insights, ask questions, and contribute to the dialogue on the intersection of Data Science, Consumer Psychology, and Gender Bias.

Speakers:

Myrthe Blösser is a PhD candidate in the Marketing section at the UvA. With a distinct focus on fair and explainable AI, her research delves into the ethical dimensions of artificial intelligence in shaping consumer experiences.

Paulina von Stackelberg is a PhD candidate in the Business Analytics section at the UvA. In her research, she investigates methods and applications for predictive monitoring. Next to that, she is interested in societal issues related to data science.

Programme: