Can network interventions like #quotas truly improve minority representation in rankings? Find out in the next #NetworkInequality Lecture by @leoneuhaeuser
đď¸ 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]
Welcome! You are invited to join a meeting: [LSNI@CSH] Improving the visibility of minorities through network growth interventions by Leonie Neuhäuser. After registering, you will receive a confirmation email about joining the meeting.
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!
đď¸ October 24, 11AM CET ***(postponed, new date TBA) ***
Register to all talks: http://bit.ly/LSNI-2024
Info: https://networkinequality.com/lecture-series
@[email protected]
Welcome! You are invited to join a meeting: [LSNI@CSH] Improving the visibility of minorities through network growth interventions by Leonie Neuhäuser. After registering, you will receive a confirmation email about joining the meeting.
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
đ˘Join us for the next #NetworkInequality Lecture w/ @[email protected]! Discover how physical barriers in cities contribute to network fragmentation & income inequality.
đď¸ Sep 26, 11AM CET
Register to all talks: http://bit.ly/LSNI-2024
Info: https://networkinequality.com/lecture-series
@CSHVienna
Welcome! You are invited to join a meeting: [LSNI@CSH] Improving the visibility of minorities through network growth interventions by Leonie Neuhäuser. After registering, you will receive a confirmation email about joining the meeting.
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
đ¨ Network Inequality Lecture Series 2024 - Autumn Edition đđđ!
đď¸Upcoming:
@[email protected]: Urban Mobility & Social segregation
@leoneuhaeuser: Network growth interventions
Join online: http://bit.ly/LSNI-2024
Previous talks: https://bit.ly/LSNI-2024-videos
Don't miss out!
@[email protected]
#NetworkInequality #LectureSeries2024 #LastTalksOfTheYear
https://networkinequality.com/lecture-series
Welcome! You are invited to join a meeting: [LSNI@CSH] Improving the visibility of minorities through network growth interventions by Leonie Neuhäuser. After registering, you will receive a confirmation email about joining the meeting.
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
Welcome! You are invited to join a meeting: [LSNI@CSH] Improving the visibility of minorities through network growth interventions by Leonie Neuhäuser. After registering, you will receive a confirmation email about joining the meeting.
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
Join us for the next #NetworkInequality Lecture with @[email protected]! Discover how Large Language Models (LLMs) simulate social behavior and their biases.
August 22, 11am CET
Register to all talks: http://bit.ly/LSNI-2024
Info: https://networkinequality.com/lecture-series
@[email protected]
Welcome! You are invited to join a meeting: [LSNI@CSH] Improving the visibility of minorities through network growth interventions by Leonie Neuhäuser. After registering, you will receive a confirmation email about joining the meeting.
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
đ˘ Our next #NetworkInequality lecture explores how node ranking algorithms impact #minority groups' #visibility in search & recommendation systems.
đ¤ Ana-Andreea Stoica from Max Planck Institute for Intelligent Systems
đ
July 26 (Friday)
đ 3pm
Register to all talks: http://bit.ly/LSNI-2024
Info: https://networkinequality.com/lecture-series
@CSHVienna #DataScience #AlgorithmBias
Welcome! You are invited to join a meeting: [LSNI@CSH] Improving the visibility of minorities through network growth interventions by Leonie Neuhäuser. After registering, you will receive a confirmation email about joining the meeting.
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
đ¨ Reminder: Join us for the Network Inequality Lecture Series 2024 - Summer Edition âď¸đâąď¸!
đ
Upcoming Talks:
Ana-Andreea Stoica: Fairness in Link Analysis Ranking
Indira Sen: Biases in LLM simulations of people
Claudia Meza-Cuadra: Video Games & the Gender Gap in CS
Register to all the upcoming talks:
http://bit.ly/LSNI-2024
Watch the previous talks:
https://bit.ly/LSNI-2024-videos
Don't miss out!
@CSHVienna #NetworkInequality #LectureSeries2024
https://www.networkinequality.com/lecture-series
Welcome! You are invited to join a meeting: [LSNI@CSH] Improving the visibility of minorities through network growth interventions by Leonie Neuhäuser. After registering, you will receive a confirmation email about joining the meeting.
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
How does money affect who your teen befriends? Find out in our next #NetworkInequality talk "Socioeconomic Segregation in Adolescent Friendship Networks" by Ben Rosche (@[email protected]).
July 4, 2pm CET.
Register to all talks: bit.ly/LSNI-2024
Info: networkinequality.com
@[email protected]
How do animal social networks form? How do their preferences impact disease spread and evolution? Find out in our next #NetworkInequality talk with Josefine Bohr Brask (@[email protected]) from @[email protected]!
>>> CANCELLED <<<
Register to all talks: bit.ly/LSNI-2024
Info: https://networkinequality.com/lecture-series
@[email protected]
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Network Inequality
