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Abstract: Improving the position of minority groups in networks through interventions is a challenge of high theoretical and societal importance. However, a systematic analysis of interventions that alter the network growth process is still missing. In this work, we propose a model to examine how network growth interventions impact the position of minority nodes in degree rankings over time. We distinguish between (i) group size interventions, such as introducing quotas; and (ii) behavioural interventions, such as varying how groups connect to each other. We find that even extreme quotas do not increase minority representation in rankings if the actors in the network do not adopt homophilic behaviour. Thus, interventions need to be coordinated in order to improve the visibility of minorities. In a real-world case study, we explore which interventions can reach gender parity in academia. Our work provides a theoretical and computational framework for investigating the effectiveness of interventions in growing networks. https://www.nature.com/articles/s42005-023-01218-9.pdf Bio: Passionate about people and interdisciplinary projects, I use my background in computer science, mathematics and psychology to tackle societal challenges with a human-centric approach. I am currently working at Amprion, one of Germany's transmission system operators, on the development and implementation of their data strategy. Previously, I was a doctoral researcher in the Computational Network Sciences Group at RWTH Aachen University. My interests include Network Science and Complex Systems, Computational Social Sciences and Graph Neural Networks, investigating group effects in networks and their impact on diversity and fairness in algorithmic decision making. https://leonieneuhaeuser.netlify.app https://twitter.com/leoneuhaeuser --- >>This is the last talk of the NetIn Lecture Series 2024<< Previous Talks: https://bit.ly/LSNI-2024-videos