Ethics in Modern Data at Music City Tech 2021

 

On Sept 16, Christine and I presented our joint presentation on Ethics in Modern Data at the Music City Tech 2021 Virtual Conference. Thanks for joining our presentation!

This session explores a variety of considerations that modern data scientists and data practitioners must account for when gathering and presenting data, including topics on bias, construct analysis, and machine learning. We'll discuss examples from history and current headlines.

This is an important topic that lives at the crossroads of our careers, my wife's career in organizational psychology and human resources, my career in data, our work in civic non-profits, and our joint passion for history and civil rights. It's important to understand that when dealing with bias: outcomes matter, intentions don't. 

Our slidedeck and all citations and references will be made available for download here.

Ethics in Modern Data this Saturday with the South Florida Data Geeks

This Saturday Aug 7, Christine and I will present our joint presentation on Ethics in Modern Data. 

This session will explore a variety of considerations that modern data scientists and data practitioners must account for when gathering and presenting data, including topics on bias, construct analysis, and machine learning. We'll discuss examples from history and headlines.

This is an important topic that lives at the crossroads of our careers, my wife's career in organizational psychology and human resources, my career in data, our work in civic non-profits, and our joint passion for history and civil rights. It's important to understand that when dealing with bias: outcomes matter, intentions don't. While many of our examples come from the historical context of the United States, not all, and we have added additional context for international audiences. 

Our slidedeck and all citations and references will be made available for download here.

Register for the virtual event here, and we'll see you Saturday afternoon at 2pmET.

Ethics in Modern Data at the Baton Rouge Analytics and Intelligence Network (BRAIN)

On July 27, Christine and I will present our joint presentation on Ethics in Modern Data. Looking forward to speaking at yet another technical user community looking to jumpstart after a COVID-induced hiatus. 

This session will explore a variety of considerations that modern data scientists and data practitioners must account for when gathering and presenting data, including topics on bias, construct analysis, and machine learning. We'll discuss examples from history and headlines.

This is an important topic that lives at the crossroads of our careers, my wife's career in organizational psychology and human resources, my career in data, our work in civic non-profits, and our joint passion for history and civil rights. It's important to understand that when dealing with bias: outcomes matter, intentions don't. While many of our examples come from the historical context of the United States, not all, and we have added additional context for international audiences. 

Our slidedeck and all citations and references will be made available for download here.

Register for the virtual event at 5pmCT here.