ethics_society_reading_group

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Data Ethics and Society Reading Group

“Data Science isn’t neutral”; books such as Race After Technology, Invisible Woman and Data Feminism have highlighted the social and ethical impact of Statistics, Data Science and Artificial Intelligence (AI).

The Data Science and Ethics Society reading group is a space for public sector colleagues to reflect on the ethical implication of our work in response to research. For more information on how to host an event please see the Hosting Guide. The role of the host is to introduce the session, talk about ground rules, introduce speakers, and oversee final discussion points at the end of the session. Typically we run hour sessions using a 15-30-15 method but this is only a guide and times can be adjusted if there are fewer than three speakers, or a large attendance with lots of rooms, for example

Session Framework

Lightning Talks (15 mins)

The sessions start with up to three lightning talks, each a maximum of five minutes. Talks may cover an interesting research paper, application, blog post, anything that fits to the theme of the session. Please refer to the Lightning Talk Guide for more information.

Break-out Discussions (30 mins)

These talks are then followed by semi-structured breakout out room discussions. The size of the rooms is up to you, but they should not be too large that people aren’t able to contribute. Note though, some people may not want to contribute. To allow for time for everyone to talk you may want to adopt a 1-2 approach, where someone gets one minute to raise a point and everyone gets two minutes to respond. This should be a loose guide and not used to limit discussions though. If you do use this method, 10 people in a room would only get one minute each to talk about a point they want to talk about. Please refer to the Facilitator Guide for more information.

Group Discussion (15 mins)

Everyone should be given the opportunity to regroup and to raise any discussion points, if they wish to. Some may not want to. Again, the 1-2 method may be used. The organisers should close the session, providing guidance on how to continue to discussions going forward.


Sessions and Reading List

Next Session

Communcating with Data (25th May 2021, 3pm to 4:30pm)

We are currently planning our next session: Commincating with Data. This will look at accessible, responsible and equitable data communication. If you would like to contribute to the reading list, submit an request here.

Registration

The EventBrite link will be posted here soon.

This meetup is exclusively for the public sector (central and local government and their arms-length bodies, government companies, policing and public health organisations, such as the NHS).

If you would like to receive the EventBrite link, please email datacampus@ons.gov.uk or visit the Gov Data Science Slack ethics channel.

Frequently Asked Questions

Please register with your work address to help us check that you are a UK public sector employee. If you use a personal email address, your registration may be cancelled.

Microsoft Teams provides a live captioning feature for attendees to use. We encourage our speakers to design slides with accessibility in mind, and we will try our best to send the slides in advance.

Privacy statement

ONS Privacy Statement


Past Sessions

4: Bias

Bias “[uncountable, countable] the fact that the results of research or an experiment are not accurate because a particular factor has not been considered when collecting the information”, Oxford Learners Dictionary. If you want to run this session a reading list can be seen on our github. Furthermore, a set of Discussion questions are also available.

1-3: Data Feminism

The first three sessions focused on Data Feminism, centered around the Data Feminism book by Catherine D’Ignazio (@kanarinka) and Lauren Klein (@laurenfklein). If you want to run these sessions a reading list can be seen on our github: session 1, session 2, session 3. Furthermore, a set of Discussion questions are also available: session 1, session 2, session 3.


Acknowledgements

Built off of, inspired by, and borrowing heavily from Ethics Book Club in a Box from DataKind UK: an intro to setting up a data ethics book club.


This website has passed the Government’s accessibility criteria. If you want to raise anything related to its accessibility, please email Government.Data.Science.Conference@ons.gov.uk