AI CATCH for Armstat is a generative AI–powered, people led framework. It helps Armstat analyse its perceived challenges or problems and suggests solutions, based on best practices and world-leading standards and guidelines for statistics. It also offers proposed roadmaps for realizing the solutions chosen by Armstat.
Welcome to chat learning about the Generic Statisical Law. This GPT helps you to understand the Generic Law on Official Statistics. You can ask questions about main purpose, details about confidentiality etc. You can also choose two starter tasks. Choose from the boxes below.
This app will help you to improve your exising law focusing on specific issues. Steps 1. present problem/isssue 2. Upload existing law, write continue and submit 3. Get options for improvements including guidance from the generic law on statistics and from UN quality framework
This app will evaluate your existing law or laws from other countries and get recommondations. Steps 1. Press button below 2. Upload existing law (use paper clip) write continue and press submit (blue arrow) 3. you will get the results. The evaluation provides A) evaluation and guidance for all elements in the generic law. B) Key observatons and C) recommended changes
Welcome to chat learning about the principles and requirements in the UN National Quality Assurance Framework. You can ask questions about main purpose, details about confidentiality etc. You can also choose two starter tasks. Choose from the boxes below.
This app will help you with problem solving using UN-NQAF and other knowledge docs 1. Insert you problem 2. AI-CATCH gives you three options 3. You and you team discuss and choose an option to be used in other apps on detailed planning
👋 Mogens Grosen Nielsen & Lars Thygesen
AI CATCH is a generative AI–powered, people led framework built for Armstat. It helps Armstat on learning, analyse its perceived challenges or problems and suggests solutions, based on best practices and world-leading standards and guidelines for statistics. It also offers proposed roadmaps for realizing the solutions chosen by Armstat.
