Data & Society Databites

Data Science Reasoning

presented by Anne L. Washington

During this year that I have been off I’ve been think­ing about how to teach both peo­ple who are trained in tech­ni­cal parts of data sci­ence, and also pol­i­cy­mak­ers, how we could have a com­mon lan­guage. And then that way we could have these con­ver­sa­tions so we could talk togeth­er.

Stats and the City: A Data-Driven Approach to Criminal Justice and Child Welfare

presented by Ravi Shroff

My fel­low­ship project is to under­stand the devel­op­ment and imple­men­ta­tion of pre­dic­tive mod­els for decision-making in city and state gov­ern­ment. So specif­i­cal­ly I’m inter­est­ed in apply­ing and devel­op­ing sta­tis­ti­cal and com­pu­ta­tion­al meth­ods to improve decision-making in police depart­ments, in the courts, and in child wel­fare agen­cies.

Data & Society Databite #101: Machine Learning: What’s Fair and How Do We Decide?

presented by Suchana Seth

The ques­tion is what are we doing in the indus­try, or what is the machine learn­ing research com­mu­ni­ty doing, to com­bat instances of algo­rith­mic bias? So I think there is a cer­tain amount of good news, and it’s the good news that I want­ed to focus on in my talk today. 

Data & Society Databite #41: Ifeoma Ajunwa on Genetic Coercion

presented by Ifeoma Ajunwa

The mythol­o­gy of genet­ic coer­cion is thoughts that genet­ic data, espe­cial­ly large-scale genet­ic data­bas­es, have the abil­i­ty to pin­point cer­tain risk of dis­ease. They pro­vide agency to act to pre­vent such dis­ease, and it can be used to cre­ate accu­rate per­son­al­ized treat­ment for dis­ease, and it should also be entrust­ed with the author­i­ty to dic­tate the mod­i­fi­ca­tion of the genome for future gen­er­a­tions.

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