Invited topic sessions


Invited topic sessions are put together by an individual, group of individuals or a committee with a set of speakers who they invite to speak on a related topic. The session topic should ideally fit within one of the topic streams for the conference.  The proposed session is considered by the RSS conference board for inclusion on the programme.

The following invited sessions have been confirmed for the 2021 programme:

Applications of Statistics

  • Disgusting Statistics
  • Euro 2021 predictive analytics competition winners
  • Women’s sport – the statistics supporting success
  • Are we talking the same language? Building collaborations between statisticians and scientists
  • Statistics of the Olympics
  • Stats and Stories + Significance: Live at RSS 2021

Business, Industry & Finance
  • Knowledge Transfer - Collaborations between academia and business through Knowledge Transfer Partnerships (KTPs)
  • Statistics solutions for business and industry - diverse case studies
  • NLP for financial decision making

Communicating & Teaching Statistics
  • RSS Statistical Ambassadors Showcase
  • Joy of teaching statistics to non-specialists
  • Research informed interventions
  • Teaching statistics to non-specialists in a pandemic setting: opportunities and challenges
  • STEM Showcase
  • Statistical Excellence Award for Early Career Writing 2021
  • Contagious disease statistics for public health courses: should we review these following COVID-19?

Data Science
  • Artificial Intelligence - or is it?
  • How women are breaking barriers in data science

Environmental & Spatial Statistics
  • Papers from the Journal of the Royal Statistical Society
  • The role of statisticians in decision-making at the landscape scale
  • Showcase: advances in visualisation in spatial and environmental statistics
  • Spatiotemporal modelling of environmental and climate data
  • Spatial modelling and visualisation using R and INLA

Medical Statistics
  • Addressing statistical and epidemiological issues in global health: The MRC Tropical Epidemiology Group
  • Advances in Health Technology Assessment Methodology
  • STRATOS initiative - on various issues in multivariable model building
  • Time series analysis using routine healthcare data: challenges and novel approaches
  • Modelling local COVID-19 data in Manchester

Methods & Theory
  • Statistical network analysis: methodological advances from COSTNET
  • Missing data in the era of big data
  • Bayesian theory and methods for complex methods
  • Networks as object data
  • Representing and quantifying uncertainty in complex systems
  • MPR Cure Rate Models with Frailty

Official Statistics & Public Policy
  • Bayesian Demography
  • UK data science as a global public good
  • Automating official statistics
  • Delivering census outputs

Other
  • Women in British Statistics after Florence Nightingale

Professional Development
  • Statisticians for Society - lessons learned and new perspectives
  • Don't Panic! The Ambassadors' Guide to Communicating Statistics
  • Get Involved with the RSS
  • Getting your work published and maximising its impact
  • Interactive visualisation
  • Wikipedia edit-a-thon: Women and underrepresented minorities in statistics and data science
  • Careers in statistical consultancy
  • Reviewing for a clinical journal - improving stats in medicine one paper at a time

Social Statistics
  • Data quality in probability- and non-probability-based online panels
  • Measurement error in the social sciences: estimation and correction
  • New developments on latent variable modelling and applications to survey data
  • Political statistics: 2020 US Presidential Election