.png?width=100&height=115&name=Big%20Data%20Expo%20Vorm%20F%20(1).png)
.png?width=100&height=115&name=Big%20Data%20Expo%20Vorm%20C%20(1).png)
Principles of Data Feminism - Making Data Work for Everyone
Caroline Williams
Founder
Data scientists and scholars Catherine D'Ignazio and Lauren F. Klein have long understood that data means power. Power over decisions, outcomes, resources, access, communities and markets. Starting with the questions of "Data science by whom? Data science for whom? Data science with whose interests in mind?" their 2020 book Data Feminism (2020 The MIT Press) provides a gripping and engaging way to rethink about data.
The seven principles outlined can be implemented by any team. These very practical principles reframe how we work with data and increase the relevance of the work we are doing as data practitioners.
Come with your questions and leave with a whole different way to look at your data based practices!
Data scientists and scholars Catherine D'Ignazio and Lauren F. Klein have long understood that data means power. Power over decisions, outcomes, resources, access, communities and markets. Starting with the questions of "Data science by whom? Data science for whom? Data science with whose interests in mind?" their 2020 book Data Feminism (2020 The MIT Press) provides a gripping and engaging way to rethink about data.
The seven principles outlined can be implemented by any team. These very practical principles reframe how we work with data and increase the relevance of the work we are doing as data practitioners.
Come with your questions and leave with a whole different way to look at your data based practices!
Hét data- en AI-event waar bewezen waarde centraal staat
Blog
Waar staat jouw AI data? En kun je nog weg, als dat moet?
Augmented analytics verandert de rol van de businessanalist
naar boven