Conference Room

Talks →

A collation of interesting data science talks from across the University are listed on the right-hand panel of this webpage.

Forthcoming Events 

This page lists C2D3 events, University events, as well as related external conferences and events of interest to our members.

C2D3 event
Monday, 6 June 2022, 9.00am to Friday, 15 July 2022, 6.00pm

Course introduction 

Process Mining has revolutionized the way we analyze and optimize processes in business. Performance Problems traditionally caused long-winded manual investigations into the underlying business process looking at interview data, observations or deciphering process documentations. All of these traditional methods are time and cost consuming and only provide fractional insights. Process Mining uses a data-science approach to process science making analyses more objective, detailed and faster to obtain. 

University of Cambridge event
Wednesday, 15 June 2022, 1.30pm to Tuesday, 28 June 2022, 4.30pm

The Social Data School is an online summer school structured around the life-cycle of a digital research project.

It will cover:

  • principles of research design
  • data collection
  • cleaning and preparation
  • methods of analysis and visualisation
  • and data management and preservation practices.

The data school welcomes applications from all backgrounds, including journalists, NGOs, activists, trade unionists and members of civil society organisations.

University of Cambridge event
Monday, 5 September 2022, 9.00am to Friday, 9 September 2022, 5.00pm

Cambridge Centre for AI in Medicine

University of Cambridge event
Monday, 5 September 2022, 9.00am to Friday, 16 September 2022, 5.00pm

Organiser: The Centre for Scientific Computing, Continuous Professional Development

Aim: To teach scientific computing techniques from C++/Fortran programming, to parallelism and numerical methods used in CFD and Atomistic modelling.

Location: Department of Materials Science and Metallurgy, University of Cambridge, U.K. (A remote-access option is also available, with access to lectures only.)