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Invited topic sessions

Invited topic sessions and workshops are put together by an individual, group of individuals, an organisation or a RSS 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 conference is intended to cover the full range of sectors working with statistics and data science including academia, business, industry, government and public sector.

The following invited sessions have been accepted for the 2023 programme (as at March 2023):

Applications in business, industry & finance
  • Knowledge Transfer Partnerships: Applications of Statistics in Business
  • Defence based statistical analyses of the past, present and future
  • FinTech and Economic Modelling
  • Battling causality vs correlation - a quality improvement approach
  • Statistical Engineering
  • Better DECISIONS, JUDGEMENTS and MEASUREMENTS - Assessing the noise resulting from bias and inconsistency
Communicating & teaching statistics
  • Data visualisation - new best practice guidance from RSS publications
  • Being more than average: statistical literacy and a lifetime of education
  • Statistics and the so-called "reproducibility crisis"
  • Statistical Anxiety: What is it, how do we measure it and what does this mean for our teaching?
  • Got a "minute"? The case for good metadata in public statistics dissemination
  • Activities to reach a broader audience: RSS Ambassador’s tips for communicating statistics
  • Communicating ONS Economic Statistics to the General Public
Data science
  • GitHub: Version control for research, teaching and industry
  • Real World Data Science Live at RSS 2023
  • Surrogate-assisted uncertainty quantification of complex computer models 
  • Getting your work to work
  • Best practices for the analysis and visualisation of Google Trends data
  • How to avoid becoming an ornamental data scientist
 Environmental & spatial statistics
  • Challenges in multivariate and spatial extremes for environmental applications
  • Using R for Bayesian Spatial and Spatio-temporal Health Modelling
  • Analytics for Digital Earth
  • Statistical modelling of environmental risks: waves, rainstorms and landslides
  • Latest advances in spatial and spatio-temporal modelling of climate and environmental sensitive diseases risk
  • Statistical challenges and opportunities for modern agricultural and environmental research
Medical statistics
  • The old-new science of excess mortality
  • Electronic Health Records - A Good Target?
  • Global health estimates: Methodological considerations, gaps and opportunities
  • Statistics for Real World Evidence in Health  
  • Linked Data for Health Analysis
Methods & theory
  • Making better use of MCMC samples
  • Recent developments in local differential privacy analysis
  • Recent developments in Nonparametric Modal Statistics
  • An introduction to expert knowledge elicitation
  • Papers from the RSS Journals: Network analysis
  • Structured covariance matrices
Official statistics & public policy
  • Data-led economic and financial regulation
  • How you can effectively build complex data science products and services with your users at the centre of your decision making  
  • Transforming the UK Travel and Tourism Statistics
  • Measuring the Digital Economy
  • Recognising excellence in official and non-official statistics

Other applications of statistics

  • Applications of Expert Knowledge Elicitation
  • Innovative uses of statistics and data science
  • Data detectives: using statistics to understand crime
  • From boxing to drumming … and beyond
  • Women's World Cup 2023 predictive analysis competition winners
  • Energy, Sustainability and Statistics
  • Statistics and the Law: challenges and opportunities
Prize winners
  • Best presentations from RSC 2022
  • Statistical storytelling: Significance prize winners
Professional development
  • Getting your work published and maximising its impact
  • Librarians will hate you: create information from data with one simple step
  • Learn from my mistakes: career advice from highly successful statisticians
  • Secrets for securing research funding
  • How to do it all: advice from female statisticians
  • Working as a statistician or a data scientist in an international organisation
  • Debugging deciphered
  • Making Maps! Visualising spatial data in R
  • Statistical advice in academia
  • How to help students develop statistical consultancy skills - ideas and experiences
  • Statisticians for Society
  • TBC
Social & wellbeing statistics
  • Inclusivity by design - embedding the Inclusive Data Taskforce recommendations into UK data and evidence
  • Data visualisation and modelling to inform public health intelligence in Scotland
  • Developing and improving the way ONS produces sub-national estimates
  • Well-being statistics and their application to public policy
  • Measuring Child Well Being Before and After Covid: Data, Measurement Issues and Outcomes