I have been at the Office for National Statistics (ONS) for four years now, working in the Methodology and Quality Directorate (MQD). My early years at ONS were primarily spent conducting qualitative research. So, when I moved to the Methodological Research Hub in MQD and got the opportunity to work on quantitative projects that used […]
Learn more on Coding Chronicles: My experience learning how to codeMembers of the Methodological Research Hub at the Office for National Statistics blog about their experience of working with an external partner to help them with their work to address missing data in administrative sources.
Learn more on How do you solve a problem like missing data?Michael Hawkes blogs about new methods developed by the Methodology and Quality directorate at the Office for National Statistics (ONS) for estimating small area population size by time of day.
Learn more on Estimating population by time of dayNina Sommerland blogs about using a technique called Structural Equation Modelling (SEM).
Learn more on Supporting the Office for National Statistics (ONS) with new statistical methodsKaren Tingay blogs about the importance of building your theoretical knowledge alongside your technical skills.
Learn more on Building theoretical as well as technical capabilityThe Methodology Symposium Organising Committee blog about their experiences of organising the 2022 Symposium.
Learn more on Organising the 2022 Methodology SymposiumIain Dove blogs about attending the United Nations Economic Commission for Europe (UNECE) Expert Meeting on Statistical Data Confidentiality in Poznań, Poland.
Learn more on Getting up at 2am for International CollaborationDr Neil Smith discusses the benefits of administrative data and the work of the Integrated Data Analysis Team (IDAT).
Learn more on High quality insights from complex data sourcesTom Tarling blogs about enhancing usage of administrative data in economics across ONS.
Learn more on Changing VATitudes towards admin data methodsGraham Brennan blogs about developing his skills in Machine Learning (ML).
Learn more on Chicago machine learning . . . and all that jazz!