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Fascinating talk by @leoneuhaeuser: We learned two network interventions to change the representation of minorities in top-k ranks, and how systematic errors (missing links/nodes) affect this representation.
Watch the video: https://bit.ly/LSNI-2024-videos
@CSHVienna #LatePost
📢Happening today!!!
The Overlooked Need for Ethics in Complexity Science: Why it Matters? by @ana16_jaramillo Samantha Dies & @YasAsgari
Nov 15, 3pm CET
Preprint: https://arxiv.org/abs/2409.02002
More info: https://csh.ac.at/events/the-overlooked-need-for-ethics-in-complexity-science-why-it-matters
@CSHVienna
Complexity science, despite its broad scope and potential impact, has not kept pace with fields like artificial intelligence, biotechnology and social sciences in addressing ethical concerns. The field lacks a comprehensive ethical framework, leaving us, as a community, vulnerable to ethical challenges and dilemmas. Other areas have gone through similar experiences and created, with discussions and working groups, their guides, policies and recommendations. Therefore, here we highlight the critical absence of formal guidelines, dedicated ethical committees, and widespread discussions on ethics within the complexity science community. Drawing on insights from the disciplines mentioned earlier, we propose a roadmap to enhance ethical awareness and action. Our recommendations include (i) initiating supportive mechanisms to develop ethical guidelines specific to complex systems research, (ii) creating open-access resources, and (iii) fostering inclusive dialogues to ensure that complexity science can responsibly tackle societal challenges and achieve a more inclusive environment. By initiating this dialogue, we aim to encourage a necessary shift in how ethics is integrated into complexity research, positioning the field to address contemporary challenges more effectively.
Can network interventions like #quotas truly improve minority representation in rankings? Find out in the next #NetworkInequality Lecture by @leoneuhaeuser
🗓️ November 21, 11AM CET (new date!!!)
>> Please, register again if you want to attend <<
https://bit.ly/LSNI-2024
(we lost previous registrations, sorry)
Complexity Science Hub Vienna @[email protected]
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
Can network interventions like #quotas truly improve minority representation in rankings? Find out in the next #NetworkInequality Lecture by @leoneuhaeuser
🗓️ November 21, 11AM CET (new date!!!)
>> Please, register again if you want to attend <<
https://bit.ly/LSNI-2024
(we lost previous registrations, sorry)
Complexity Science Hub Vienna @[email protected]
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
🚨 Important Announcement: The final talk of this year’s lecture series, originally scheduled for today, has been postponed. New date and time will be shared soon. Stay tuned for updates!
Register to this talk (even if you already did - we lost all pre-registrations, sorry): http://bit.ly/LSNI-2024
Watch previous talks: https://bit.ly/LSNI-2024-videos
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
Can network interventions like #quotas truly improve minority representation in rankings? Find out in the next #NetworkInequality Lecture by @@leoneuhaeuser!
🗓️ October 24, 11AM CET ***(postponed, new date TBA) ***
Register to all talks: http://bit.ly/LSNI-2024
Info: https://networkinequality.com/lecture-series
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
Fascinating talk by Balazs Lengyel from ANETI Lab. We learned that urban inequalities are amplified by social network fragmentation, driven by geographic barriers and segregation, linking mobility, social ties, and income disparities.
Watch the video: https://bit.ly/LSNI-2024-videos
