Indiana University Network Science Institute

Not being properly represented in the training data comes at a cost to the under-sampled majority when machine learning algorithms are used to aid human decision-makers. Tina Eliassi-Rad will discuss our null model for fairness and demonstrate how to use deviations from this null model to measure favoritism and prejudice in the data. 

This talk is part of the Data Science Invited Talk Series. You can find additional information here: https://bit.ly/37mehib

This event includes a panel with Katy Borner, Kosali Simon, and Titus Schleyer, who will present data and visual analytics results from two projects funded by IU’s Addiction Grand Challenge initiative.

This talk is part of the Data Science Invited Talk Series. You can find additional information here: https://bit.ly/2wAjiGo

IUNI and NetSI (Northeastern University) will co-host the 2020 Summer Institute in Network Science and its Applications (SINSA 2020) in Boston, Mass. The two-week institute will cover both the fundamentals and specific applications of network science theories and methods and feature 16  distinguished instructors.

Networks 2021 will combine the annual meetings of the International Network for Social Network Analysis (Sunbelt XLI) and the Network Science Society (NetSci 2021).