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LMS Women in Maths Day
Organiser: Women in Maths Committee
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| Photo submitted by Katy Henderson |
The day provides the chance to meet and network with women who are active and successful in mathematics, and features research talks from a wide range of mathematical subject areas as well as a panel discussion. A poster session will be held over lunch and there will be a prize for the best Women in Mathematics Day poster. Posters developed for other conferences are very welcome, and poster boards will support up to A1 size posters. In addition, each poster presenter will have the opportunity to give a one slide 'taster' to advertise their poster to the participants.
The event is open to all and may be of particular interest to women mathematicians, particularly those at an early stage of their career.
Registration for the event is free, and limited travel funding is available to support undergraduates, postgraduates and postdocs to attend. We encourage attendees to request additional travel funding from their departments where appropriate. We are keen to enable attendance from further afield in the UK, and will make every effort to assist with this.
Childcare can be provided - click here for details.
Provisional programme:
10:15 Registration and coffee
10:50 Welcome
11:00 Alessandra Caraceni, University of Bath
11:30 Sophie Carr, Bays Consulting
12:00 Poster taster session
12:30 Lunch, posters and networking in 'the street' (outside MS.01)
14:00 Eva-Maria Graefe, Imperial College London
14:30 Panel discussion
15:30 Coffee, posters and networking in 'the street' (outside MS.01)
16:00 Sibylle Schroll, University of Leicester
16:30 Christl Donnelly, Imperial College London
17:30 Poster prize presentation followed by drinks, cheese and nibbles in the common room
All talks and sessions are in room MS.01 in the Mathematics Institute.
Abstracts
Sophie Carr, Bays Consulting: My travels with maths: Knowing where I am and where my food came from
In all walks of life, knowing where you are, and frequently more importantly where you are in relation to where you want to be is not always easy. Increasing access to geo referenced data can help - navigation aids are almost standard on smart phones whilst continual developments in analytics and computation means driverless cars become an ever closer reality. But how else can big data and analytics help get you and your supplies to where they need to be without getting lost in the analysis itself? This presentation will discuss recent projects on understanding where you are when there is no GPS signal and how working out where your mussels and chips came from isn’t always as easy as it sounds.
To register, please click here.
Source: London Mathematical Society
