School of Mathematics

Centre for Statistics launch event

The University of Edinburgh is establishing a new Centre for Statistics (CfS), which is being spearheaded by the School of Mathematics, although the Centre will span across all three colleges within the university, uniting statisticians and quantitative researchers working in different areas. To mark the start of the Centre, a launch event for the afternoon of November 6th is planned. The launch event will take place in the Anatomy Lecture Theatre in the Medical School (Room 425, Doorway 3) and will feature a mixture of introductory talks about the vision for the Centre and research talks highlighting statistical research activity from across the University and affiliated research groups.

The schedule of talks is 2.00pm

  • Prof. Dave Robertson, Head of College of Science and Engineering 2.15pm
  • Prof. Jon Oberlander, Director of the Bayes Centre 2.30pm
  • Dr Jonathan Gair, Director of the Centre for Statistics 2.45pm
  • Prof. Ruth King, School of Mathematics 3.10pm
  • Coffee Break 3.35pm
  • Prof. Paul McKeigue, Usher Institute 4.00pm
  • Prof. Glenn Marion, Biomathematics and Statistics Scotland 4.25pm
  • Prof. Cristina Iannelli, School of Education 4.50pm-6pm:
  • Wine Reception

There is no charge for attending the launch event, but in order to plan catering, we ask that if you are interested in attending you register your interest here https://www.eventbrite.com/e/centre-for-statistics-launch-event-tickets-38872505711 The vision for the Centre is to act as a focus for statistical activity across the University, to promote the establishment of innovative inter-disciplinary statistical research programmes, provide effective communication of statistical ideas to an academic and external audience and to be at the forefront of training the next generation of statisticians and data scientists.This launch event will be the first of the events for the CfS - with additional events planned for the future including the inaugural David Finney Centenary Lecture, Annual Statistics Day, interdisciplinary research meetings etc.