Safiya Umoja Noble – Algorithms of Oppression

Tuesday 8th May 18.00 – 20.00
Federation House
Manchester
M4 4BF

Register here

In her recent best-selling book Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem. Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of colour, specifically women of colour- and contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century.

Safiya Umoja Noble

Dr. Safiya U. Noble is an assistant professor at the University of Southern California (USC) Annenberg School of Communication. She is the recipient of a Hellman Fellowship and the UCLA Early Career Award.

Noble’s academic research focuses on the design of digital media platforms on the internet and their impact on society. Her work is both sociological and interdisciplinary, marking the ways that digital media impacts and intersects with issues of race, gender, culture, and technology design. Her monograph on racist and sexist algorithmic bias in commercial search engines is entitled Algorithms of Oppression: How Search Engines Reinforce Racism (NYU Press). She currently serves as an associate editor for the Journal of Critical Library and Information Studies, and is the co-editor of two books: The Intersectional Internet: Race, Sex, Culture and Class Online, and Emotions, Technology & Design and several articles and book chapters. Safiya holds a Ph.D. and M.S. in Library and Information Science from the University of Illinois at Urbana-Champaign, and a B.A. in Sociology from California State University, Fresno with an emphasis on African American/Ethnic Studies. She is a partner in Stratelligence, a firm that specializes in research on information and data science challenges, and is a co-founder of the Information Ethics & Equity Institute, which provides training for organizations committed to transforming their information management practices toward more just, and equitable outcomes.

Supported by MMU and The Federation in partnership with The Omidyar Network and Co-op Foundation

Deprivation vs Political Representation dataset

Over the last couple of weeks we have been putting together data on local political representation and deprivation at a Local Super Output Area level. This data is put together using LSOA 2011 to Ward to Local Authority District 2016 with the English Indices of Deprivation 2015 Lookup in England from the Office of National Statistics and Ministry of Housing, Communities and Local Government respectively, and local councillor affiliation data manually entered from the 326 council tax and business rates raising local authorities of England.

The open data can be found here and we will update it after the local elections in May – please read the README before using.

You can read more about how the dataset was constructed here

Data for Good #1 Understanding where we live

Tuesday 24th April 18.30 – 20.30
Federation
Federation Street, Manchester M4 4BF

Register on Meetup here

There is a huge amount of data that is collected by the UK Government and others that describes the communities in which we live. This data informs policy decisions at a national and local level. Datasets such as the Indices of Multiple Deprivation have been described as the ‘billion pound dataset’ because of its importance.

Outside of the world of data analysts and academia these datasets are relatively unknown, yet they can be incredibly useful to anyone who is interested in their communities, wants to develop evidence for funding applications or is thinking of developing a business in a certain area.

Data for Good #1 follows on from our So you think you know your country? events and gives deeper insight into some of the data available. The seminar will introduce the world of statistical geography and some of the datasets and tools you can use.

As the event is going to be more hands on, access to a laptop would be advantageous, but not essential.

IF YOU LIKE YOUR STATISTICAL GEOGRAPHY AND WANT TO HELP OUT – GET IN TOUCH – THE MORE PEOPLE WHO CAN HELP THE MORE PEOPLE WE CAN HELP