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Terms and conditions

These terms and conditions supplement the general terms and conditions for use of the University websites, as found here: http://www.cam.ac.uk/about-this-site/terms-and-conditions

Event bookings

Filming and photography

There may be filming and photography at some events which will be shared on our website and may be published in official Cambridge Big Data materials. We will endeavour to inform delegates prior to the event if filming will take place. Delegates who do not wish to be filmed or photographed should inform a member of staff on the day.

Refunds and cancellations for events

  • All events are subject to change including details such as advertised dates, speakers, locations and the cost of registration.
  • Cambridge Big Data reserves the right to cancel an event due to low enrolment or other circumstances which would make the event non-viable.
  • If Cambridge Big Data cancels an event, delegates will be offered a full refund of the registration fee (where applicable). However, any expenses (including travel) incurred due to the cancellation of an event will not be refunded.
  • Should circumstances arise that result in the postponement of an event, delegates who have paid a registration fee, will have the option to either receive a full refund or transfer registration to the same event at the new, future date.
  • Refunds will only be considered for cancellations more than seven working days before the start of an event. 
  • Regrettable we will not offer any refunds for any cancellations received 7 working days or less prior to the start of the event.
  • Refunds will be processed online and requests must be made by the person who made the original booking or the credit card holder.
  • Refunds will not be given for delegates who do not turn up to an event on the day.

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.

The Centre is funded by a series of collaborations with partners in business and industry which have an interest in using data science for the benefit of their customers and their organisations. Our founding partner is Aviva, the UK’s leading insurance company. We work with industrial partners to build a portfolio of collaborative research projects, provide professional development opportunities for their own staff and access to the full breadth and depth of the University’s talent pool in the area of data science.

With unprecedented access to increasing volumes of data, our research ranges from the underlying fundamentals in mathematics and computer science, to data science applications across all six University Schools of Arts and Humanities, Biological Sciences, Clinical Medicine, Humanities and Social Sciences, Physical Sciences, and Technology.

In parallel, our research addresses important issues around law, ethics and economics, in order to apply data science to solve challenging problems for society.

C2D3 supports collaboration and knowledge transfer in this growing field.

Join us.