Recent activities

Mags Wiley speaks to Colin Gillespie from Newcastle University about his modelling of sheep flocking.

A Bayesian Analysis Of Animal Movement Data

Mags Wiley speaks to Rachel Hogg about the work she does as a statistician at NHS Blood and Transplant, as part of the team looking into the reasons why mortality rates for patients on the lung transplant list are so high and how better patient care can be delivered.

An Analysis Of Patient Outcomes From Listing For A Lung Transplant

Jen Rogers interviews Amy-Jayne McKnight to discuss the challenges associated with genomic data. We consider how data is captured, processed, and then analysed and AJ outlines the challenges presented by sources of variability.

Analytical Challenges Of Harmonising Diverse Datasets

Brian Tarran, editor of Significance (www.significancemagazine.com), talks to Darren Dahly (University College Cork) and Maarten van Smeden (Leids Universitair Medisch Centrum) about Twitter and the role the social media platform can play in supporting and developing a statistical career – from finding research collaborators to critiquing papers and everything in between.

Tweet All About It! The Rise Of #Stats Twitter

Brian Tarran, editor of Significance (www.significancemagazine.com), interviews John MacInnes (http://www.sps.ed.ac.uk/staff/sociology/macinnes_john), chair of the Royal Statistical Society Professional Affairs Committee and professor of sociology at the University of Edinburgh. They discuss the changing forms that statistics is taking in the era of data abundance and the ethical challenges this gives rise to.

The Future Of Statistics And Statistics Education

RSS Chief Executive Stian Westlake chaired a short panel discussion on what is commonly termed the ‘A level exams fiasco’. When physical exams taking place in 2020 were cancelled in the UK because of the Covid-19 pandemic, an algorithm was developed to set students’ exam grades. However, this algorithm had to be abandoned after significant inconsistencies were identified in the results.

Discussion on exam grading algorithms at RSS Conference

The Royal Statistical Society (RSS) is one of the world's most distinguished and renowned statistical societies.  It is a learned society for statistics, a professional body for statisticians and a charity which promotes statistics, data and evidence for the public good.

It was founded in 1834 as the Statistical Society of London and became the Royal Statistical Society by Royal Charter in 1887.  Today the Society has more than 10,000 members around the world, of whom many are professionally qualified as Chartered Statistician.  The RSS is active in a wide range of areas both directly and indirectly relevant to the study and application of statistics.