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Data Scientist, Online Harms

Closing date: 
Monday, 21 February 2022

The Alan Turing Institute

The Public Policy research programme works alongside policy makers to explore how data-driven public service provision and policy innovation might help to solve long running societal problems. Our work is interdisciplinary, with machine learning engineers, NLP experts, data scientist and social scientists collaborating across different projects.

The Online Safety Team is a new part of The Turing’s Public Policy Programme. It provides objective, evidence-driven insight into the technical, social, empirical and ethical aspects of online safety, supporting the work of public servants (particularly policymakers and regulators), informing civic discourse and extending academic knowledge. High-priority topics include online hate, personal attacks, extremism, misinformation and disinformation. We have three main workstreams:

  1. Data-centric Artificial Intelligence for online safety
  2. Building an Online Harms Observatory
  3. Policymaking for online safety

https://cezanneondemand.intervieweb.it/turing/jobs/data_scientist_online_harms_19857/en/

 

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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