Modernisation Committee on Production and Methods Plans for 2016

Priority topics / future ideas Machine learning 1.Review of ML techniques currently in use or in consideration at statistical agencies worldwide, including tools (see 5 below). 2.Study on ML for automatic coding 3.Study on ML for data cleaning, editing and outlier detection 4.Study on ML for record linkage (synergies with the CULT project) 5.Software tools for ML, particularly open source (R and Python).

Priority topics / future ideas Methodology architecture (MA) ◦ Benefits of a MA will be documented  For methodologists, management, IT partners  Scope of sound methods, including future needs  Governance / communication tool ◦ A common layered model will be proposed ◦ Link to Business Architecture will be made ◦ Link to IT Architecture will be made ◦ Methodology gaps will be addressed

Priority topics / future ideas Next Generation Data Management 1.Describe the next generation of data storage opportunities and semantic metadata 2.Identify the activities being undertaken by NSOs 3.Explore the business drivers for investing in these new technologies 4.Establish some preliminary business requirements which may assist NSOs in engaging with vendors 5.Support and champion the Data Integration project proposed for 2016 (if selected)

Priority topics / future ideas CSPA ◦ Actively take on a champion role for CSPA, specifically the principles and intent, encouraging implementation and adoption across the statistical modernization community and within our individual agencies. Dependent on current proposals under consideration by HLG ◦ Support of proposed governance arrangements for CSPA ◦ Support for the proposed CSPA themed workshop in June 2016.

Priority topics / future ideas Event in 2016 ◦ Workshop focused on CSPA support and implementation

Challenges More involvement of methodologists Support to 2016 HLG projects ◦ to be decided on Wednesday Promotion and communication of work and outputs

Get involved Talk to us