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Machine learning Group 2021

Following the great interest in continuing the work of the HLG-MOS Machine Learning Project, UK Office of National Statistics (ONS) is launching the Machine Learning Group 2021. The new ML group will focus on developing and implementing ML for official statistics (see slides below for presentation and live survey conducted during the HLG-MOS ML Project webinar)

View file
nameWebinar Future Directions.pdf
pageHLG-MOS ML Project webinar
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View file
nameML Project Webinar Slido Poll Result.pdf
pageTimetable and Documents
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Table 1 and Table 2 below indicate the work packages (WPs) : Work packages investigated by the ML 2019/2020 project and highlights some areas identified as (hyperlinks) and potential themes to be explored by the ML 2021 Group.

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Image Removedproject (text in red). 

The Journey

Moving from idea to valid solution (demonstration)

Moving from valid solution to production (Operationalisation)

Ensuring production robustness (Maintenance)

All WP1 pilot studies

Some WP1 pilot studies

Very few WP1 pilot studies

Other applications of Machine Learning

Some other applications of Machine Learning

Very few other applications of Machine Learning

WP3 Integration (Q5 & Q6)

WP3 Integration (Q5)


Workstream 1: Support current studies towards production; welcome new studies in other processes (e.g. record linkage) and/or data sources (e.g. satellite data)

Supported by

Quality (accuracy, timeliness, efficiency, explainability and reproducibility)

Good Training Data

Skills/Competences

Computing Infrastructure

Interoperability / Business Process

Ethics and Legal

Security

WP2 Quality


WP3 Integration (Q3 & Q4)





Workstream 2: Experiment with practices and methods on some dimensions of QF4SA (WP2);

Workstream 3: Review and improve the Framework 

Workstream 4: How to get good training data, how to keep it up to date, when to relearn a model, what does 'good' mean, how to measure that?

Workstream 5: What skills? How to learn? Where to find them?

To be defined

To be defined

Workstream 6: Ethics handbook, regulations , etc.

To be defined

Facilitated by

Organisation

Sharing and Collaboration

WP3 Integration (Q1 & Q2)

HLG-MOS Machine Learning Project

Initiatives to accelerate the integration of machine learning solutions

ML Studies and Codes

Workstream 7 : Create/maintain a network of data science unit leaders;
Workstream 8: Beyond 2021: How can we better prepare for next 2-5 years? What technology and data sources can we expect? What skills will we need?

Learning and Training

HLG-MOS ML Project webinar

How to join the Group ?

Do you have any ML topic you are interested in working together with peers? Do you have any issue (technical, strategic, organisational) you want to discuss with other NSOs? Contact InKyung Choi (UNECE), if you want to join the Machine Learning 2021 Group!

If you are a member of the Global Network of Data Officers and Statisticians, you can follow us from the ML for Official Statistics group in the Network (see quick guide on how to join the Global Network). 

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