In just a few weeks, thousands of statisticians and data scientists will gather in Portland, Oregon, for the Joint Statistical Meetings. David Corliss shares ways to connect with new collaborators and get ideas for D4G projects.
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Equity and Bias in Algorithms: A Discussion of the Landscape and Techniques for Practitioners
Algorithmic bias can occur as a result of decisions made throughout the algorithm development and deployment process. Left unaddressed, it can deeply affect equity. Emily Hadley looks at techniques to consider when developing algorithms.
Early-Career Statistician Offers Language, Tools for Establishing Influence
Jessica Lavery shares the tools she picked up during her first few years as a statistician that have proven useful in gaining respect and being taken seriously by senior collaborators.
The Paradox of Choice: Statistical Software Packages
With such a vast array of similar programs available, many students feel uneasy when thinking about which programs they would be asked to use in a professional setting.
MOOCs and Statistics Education: Fad or Opportunity?
This month, ASA President Marie Davidian discusses online education programs.