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09/12/2023
An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature
Recent work in algorithmic fairness has highlighted the challenge of def...
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05/09/2023
The Role of Relevance in Fair Ranking
Online platforms mediate access to opportunity: relevance-based rankings...
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09/13/2021
Measurement as governance in and for responsible AI
Measurement of social phenomena is everywhere, unavoidably, in sociotech...
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04/25/2020
Internet-human infrastructures: Lessons from Havana's StreetNet
We propose a mixed-methods approach to understanding the human infrastru...
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12/11/2019
Measurement and Fairness
We introduce the language of measurement modeling from the quantitative ...
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11/11/2018
Discovering heterogeneous subpopulations for fine-grained analysis of opioid use and opioid use disorders
The opioid epidemic in the United States claims over 40,000 lives per ye...
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11/14/2014
A unified view of generative models for networks: models, methods, opportunities, and challenges
Research on probabilistic models of networks now spans a wide variety of...
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04/02/2014
Learning Latent Block Structure in Weighted Networks
Community detection is an important task in network analysis, in which w...
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03/12/2014
Efficiently inferring community structure in bipartite networks
Bipartite networks are a common type of network data in which there are ...
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05/24/2013
Adapting the Stochastic Block Model to Edge-Weighted Networks
We generalize the stochastic block model to the important case in which ...
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03/04/2011