Welcome everyone! We'll be starting in a few minutes. Please share your name, affiliation and interests in the chat

I am Charles Raab (University of Edinburgh/ Alan Turing Institute/ Co-Chair of Turing’s Data Ethics Group/ Member of Home Office Biometrics and Forensics Ethics Group)

Ruth Drysdale, Turing AI programme manager

Mike Wald Southampton/Turing AI & Inclusion

Hi I'm Jessie from the Turing. I'm usually organising these events but here today as a participant as the topic sounds super interesting

The session will be recorded and uploaded onto the FTP webpage soon afterwards

Hello - I’m Samuel Bell, PhD student at University of Cambridge Computer Lab’s ML Group, and Turing Enrichment Student. I’m particularly interested in hearing about synthetic datasets that are biased/unbiased.

@Samuel - are you a member of the Turing Syn Data IG?

I’m not, but perhaps I should be!

Hello, I'm Marion Oswald, Northumbria Uni and the Turing Institute. I also chair the West Midlands PCC/Police data ethics committee and sit on the CDEI advisory board.

Hi, I’m Shannon Vallor, a Turing Fellow and Prof of AI and Data Ethics at The University of Edinburgh. I may need to rejoin as my laptop audio isn’t working well.

Hello, Makadaa Henry-Nickie at the Brookings Instituton.

If police keep being despatched to same location wouldn't you expect some crime types to move to a different location where there is no police presence?

please provide link for resources.

Hello team, is there any way that we can contribute to this project?

Southampton-Crimonology-AICJS-Project/PredPol-Investigation: Version 1 (Version v1.0.1). Zenodo. \url{http://doi.org/10.5281/zenodo.431152}0.

In what way is this study ‘multidisciplinary’ in either the theories or the research methods?

Are criminals modelling police behaviour to decide where to despatch criminals?

snake oil?

What about using algorithms to find cybercrime where community methods are more difficult - eg what sources of fraud are growing that need more policing/investigation?

in fairness to the police, the algorithmic/data-driven methods and the community methods are not mutually exclusive e.g. the Thames Valley violence reduction unit

Neighbourhood Watch is a kind of precursor f community-based approaches, and it has pros and cons as well as ethical issues about local-level surveillance between people themselves.

I have to run to another call, thanks Pamela and Age for a wonderful presentation!

Thanks for a great talk!