Events

Conference Room

Talks

Interesting data science talks a listed on the right-hand panel of this webpage.

To add a talk to the talks.cam list, or to request inclusion of an external event, please contact coordinator@c2d3.cam.ac.uk.

Forthcoming Events

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

C2D3 event

C2D3 Virtual Symposium 2020

Wednesday, 21 October 2020, 10.30am to 3.20pm

Research Rendezvous: An online showcase of exciting research from across the University alongside guest talks from industry and independent organisations. The C2D3 Virtual Symposium 2020 Research Rendezvous seeks to spark new research questions, create new collaborations and connect distant parts of the data science community at the University and beyond. Our audience will be diverse with delegates from across academia, industry, independent organisations, local councils.

External event

ATI - AI UK | Smart cities

Monday, 28 September 2020, 10.00am to 11.30am

The city is the future. By 2050, more than two-thirds of the planet’s 10 billion people will live in urban centres, according to the United Nations. The COVID-19 pandemic has shone a spotlight on some of the issues faced in the cities of today. So, we had better drag our cities into the 21st century, and fast. Will we be able to build truly safe and resilient systems for our citizens? How will we handle the explosion in urban data?

External event

Scientists and medics working on COVID: Introduction to the News Media

Thursday, 1 October 2020, 2.00pm to 5.00pm

Event held by the Science Media Centre

COVID-19 has highlighted the importance of scientists engaging with the media. Public understanding of the nature of the virus and the behaviours needed to minimise risk is essential for saving lives. It’s paramount that these topics are communicated correctly and that evidence has its say. We have some excellent science and health journalists in the UK, but the pandemic will never be covered as accurately as we want it to be without the direct involvement of the experts themselves.