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Turing Data Study Group - April 2021

Closing date: 
Thursday, 4 March 2021

The Alan Turing Institute: Bringing together top talent from data science, artificial intelligence, and wider fields, to analyse real-world challenges.

Our challenges and data sets are provided by partner organisations for researchers to work on during the event.

The organisations and challenges leading the Data Study Group this April are:

  • CityMaaS - Making travel in cities accessible for people with disabilities through prediction and personalisation
  • Entale - Recommendation Systems for Podcast Discovery
  • Odin Vision - Exploring AI supported decision-making for early-stage diagnosis of colorectal cancer
  • University of Sheffield / Advanced Manufacturing Research Centre (AMRC) – Predictive maintenance of robotic machining tools using acceleration and force data
  • Wearable Sensors - Activity recognition using wrist-worn accelerometers

 

What are Data Study Groups?

  • Intensive five day 'collaborative hackathons' hosted at the Turing, which bring together organisations from industry, government, and the third sector, with talented multi-disciplinary researchers from academia. (Please note this format is currently different due to COVID-19).
  • Organisations act as Data Study Group 'Challenge Owners', providing real-world problems and datasets to be tackled by small groups of highly talented, carefully selected researchers.
  • Researchers brainstorm and engineer data science solutions, presenting their work at the end of the week.

Why apply?

The Turing Data Study Groups are popular and productive collaborative events and a fantastic opportunity to rapidly develop and test your data science skills with real-world data. The event also offers participants the chance to forge new networks for future research projects, and build links with The Alan Turing Institute – the UK’s national institute for data science and artificial intelligence.

It’s hard work, a crucible for innovation and a space to develop new ways of thinking.

Reports from previous Data Study Groups are available here.

 

Full details and application

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 

Join us