Updates from the Modernization Groups |
---|
Blue-skies Thinking
| Identifying Topics/Opportunities | Status |
---|
colour | Green |
---|
title | continious |
---|
|
| |
Future of NSIs | |
|
Digital Twins | Status |
---|
colour | Yellow |
---|
title | in progress |
---|
|
| |
Applying Data Science and Modern Methods
| General Overview | Status |
---|
colour | Yellow |
---|
title | in progress |
---|
|
| The ADSaMM work-stream has two task teams underway, and both are making good progress and a high level of participation / engagement. Consideration is being given to establishing a third task team. A 3rd task team is being considered as a consequence of a suggestion from Osama Rahman (UK Data Science Campus) around the practical implementation of data science techniques in official statistics. Following 2 or 3 rounds of meetings, the group of interested NSO are focussed on three Use Cases: PETs, EO / mobile data / Geospatial and Nowcasting. Stats Japan have offered to host a workshop in October on the agreed topic. |
Task Team #1: Uncertainty Quantification | Status |
---|
colour | Yellow |
---|
title | in progress |
---|
|
| The Uncertainty Quantification (UQ) task team are underway and I can report that: - The team have met twice, comprises 27 participants, and led by Mohammed Haddou from Statistics Canada.
- At the kick-off meeting (February), following general introductions etc., the team agreed the scope, deliverables and outline of a work plan. The group also formed smaller groups to tackle subtasks & chapters. In addition, following a task team member’s suggestion the group decided to begin by reviewing and discussing a particular paper on conformal prediction (CP) while simultaneously progressing with our tasks and deliverables.
- At the team’s second meeting (April), Mohammed gave a presentation on CP, which sparked productive discussions, including the potential application of uncertainty quantification in official statistics.
- At the forthcoming (May) meetings Mohammed will complete his CP presentation, and Siu-Ming Tam will present a bootstrap method he developed for quantifying uncertainty.
- The task team is exploring the establishment of a Teams channel to enhance their communication and collaboration.
|
Task Team #2: Advancing Responsible AI. | Status |
---|
colour | Yellow |
---|
title | in progress |
---|
|
| The Advancing Responsible AI task team is also underway and I can report that: - The team have met twice, comprises 13 participants, and led by Riitta Piela from Statistics Finland.
- Similar to UQ task team, the team have got into their work with establishing a work program, identified work packages and subtasks that various team members can work on.
- At forthcoming meetings, various team members will present some ideation thoughts.
- The task team is also keen to identify a suitable platform so the task team can communicate & collaborate.
|
Capabilities and Communication
| Work and Job of the Future - Extended work on Generic Growth Model | Status |
---|
colour | Green |
---|
title | in progress |
---|
|
| |
| Status |
---|
colour | Green |
---|
title | in progress |
---|
|
|
|
Evaluation of blended (hybrid working) | Status |
---|
colour | Green |
---|
title | in progress |
---|
|
|
|
Employer branding | Status |
---|
colour | Green |
---|
title | in progress |
---|
|
| |
Ethical management (Data and Business) | Status |
---|
colour | Green |
---|
title | in progress |
---|
|
| |
Ethics Workshop 2024 (26-28 March 2024) | Status |
---|
colour | Green |
---|
title | in progress |
---|
|
| |
Workshop on HRMT OC | Status |
---|
colour | Yellow |
---|
title | in progress |
---|
|
| |
AI for official statistics - communication perspective | Status |
---|
colour | Green |
---|
title | in progress |
---|
|
| The task team has regular monthly meetings sharing use cases and needs and challenges. - An interesting aspect of the cases we discuss could be any ethical guidelines on HOW to use AI in the daily work and HOW to COMMUNCATE that we have used AI for a press release, monthly report, social media, etc?
- Some potential solutions could come with the Artificial Intelligence Act (AIA) EU. At the moment, this is still in the drafting phase: EUR-Lex - 52021PC0206 - EN - EUR-Lex (europa.eu).
- Researching and presenting if such exist, could be a component part of the cases when presented.
- Generating images through AI can be challenging, both, from the perspective of writing descriptive prompts and specific requests but also from the perspective of getting the desired images: style, color scheme, organisation templates, etc.
- BIS, BPS Indonesia, UNECE and Eurostat showcased the practical solutions on writing requests and generating text and images using various tools/combinations (ChatGPT, Adobe Firefly, Monika, Playground, etc.). The presentations will be made available on the wiki.
- Different platforms/versions of tools offer different design solutions and products, but also different services as referring to intellectual property and legal coverage/commitment services. Choosing one or another depends on the organisation policy, needs and requirements.
- The European Commission provides guidelines for using AI under specific conditions, emphasizing caution with words and prompts advising to avoid using personal information and exact location/dates.
- Elements like text, flags, and dates in AI images (which might be generated in an weird way) can be addressed by asking in the prompts to leave space for customization, and later adding the logos or text according to organizational templates.
Next meeting participants will discuss on the expected output, continuing to share case studies |
Supporting Standards
| CES endorsement of GSIM 2.0 | | Following discussion of GSIM 2.0 at the CES Bureau meeting in February, a paper for discussion at the CES plenary session (in June) has been drafted. |
ModernStats World Workshop | | The organization of the ModernStats Word Workshop in October is moving forward. The call for abstracts and information note has been published here. The workshop is going to focus on the use of standards and tools to improve interoperability, transparency and metadata-driven pipelines with the aim at sketching the future of statistical production beyond 2025. |
Conference on Smart Metadata for Official Statistics (Paris, 11-12 April) | | UNECE contributed to the COSMOS conference on 11-12 April, related to smart metadata. UNECE presented a poster, with InKyung being part of its scientific committee. The topics discussed provide a useful basis for further consideration at the ModernStats World Workshop There was also a useful meeting on April 10th in Paris right before COSMOS. The morning discussion was focused on ways in which SDMX and DDI are complimentary with each other, and the afternoon was dedicated to learn about transformation and validations languages (VTL/SDTL/SDTH) and how they can be used in the context of automated pipelines. As well as exchanging insights about new developments (SDTL/SDTH and VTL-DDI interoperability), it was a good opportunity for DDI and SDMX experts to share ideas on this topic. There was an agreement to draft a brief note suggesting a favoured approach to take to address interoperability of SDMX and DDI. |
Revision of GSBPM and GAMSO activity | | Work on the revision of GSBPM is continuing as planned, currently examining feedback received on the Design phase of GSBPM. |
SDMX-DDI-GSBPM activity | | Work on finalizing the SDMX-DDI-GSBPM report is close to completion, but is proceeding more slowly than anticipated. |
Common Statistical Data Architecture | | We are still seeking a leader for the activity on Common Statistical Data Architecture (CSDA) – Suggestions are appreciated! |
Core Ontology for Official Statistics | | This work is not due to start until summer 2024. |
65th ISI World Statistics Congress 2025 | | We submitted a proposal to the 65th ISI World Statistics Congress 2025 in The Hague. The proposed session will discuss how implementation standards can be used together with conceptual ModernStats models to improve interoperability at technical, semantic and organizational levels, and how they can be leveraged to build statistical production pipelines that are metadata-driven, semantically consistent and reusable. |