R Shiny How to build data science capability Tom Ewing (DFT) 1.5 and not go mad in the process International Bar Data science at MoJ Jon Roberts (MoJ) - 15:00 Platinum Suite Break/Exhibition Stalls 15:30 Parallel Session 2 Using data science to transform Juan Mateos-Garcia research and innovation policy (NESTA) 2.1 Combining information in multiple Alan Brewer (National 1889 Suite spatial datasets to produce estimates Forest Inventory) and standard errors of population areas Machine learning in production: Tom Wakeford (HO) transforming visa casework and identifying potential victims of 2.2 trafficking Platinum Suite Jo Lee (MoJ) Exploring mental wellbeing from prisoner case-notes using text mining 15:30-16:30 Integrated Data Enabling Analysis Becky Tinsley (ONS) and Statistics (IDEAS): A new data model for integrating data 2.3 International Bar Household statistics from a future Peter Jones (ONS) administrative data census 2.4 Refreshing the Code Penny Babb (ONS) Directors Boardroom GSS Good Practice Team: capability Martin Ralphs (ONS) building 2.5 Legends of the Lane Random Forest Analysis: the Ed Beake (DH) prediction of fragile A&E systems Keynote Session 2 16.30 – Platinum Suite Making Sense of Big Data 17:30
R Shiny 1.5 International Bar How to build data science capability and not go mad in the process Data science at MoJ Tom Ewing (DFT) Jon Roberts (MoJ) 15:00 - 15:30 Platinum Suite Break/Exhibition Stalls Parallel Session 2 15:30-16:30 2.1 1889 Suite Using data science to transform research and innovation policy Combining information in multiple spatial datasets to produce estimates and standard errors of population areas Juan Mateos-Garcia (NESTA) Alan Brewer (National Forest Inventory) 2.2 Platinum Suite Machine learning in production: transforming visa casework and identifying potential victims of trafficking Exploring mental wellbeing from prisoner case-notes using text mining Tom Wakeford (HO) Jo Lee (MoJ) 2.3 International Bar Integrated Data Enabling Analysis and Statistics (IDEAS): A new data model for integrating data Household statistics from a future administrative data census Becky Tinsley (ONS) Peter Jones (ONS) 2.4 Directors Boardroom Refreshing the Code Penny Babb (ONS) 2.5 Legends of the Lane GSS Good Practice Team: capability building Random Forest Analysis: the prediction of fragile A&E systems Martin Ralphs (ONS) Ed Beake (DH) Keynote Session 2 16.30 – 17:30 Platinum Suite Making Sense of Big Data
GSS-Handbook-Final.docx