IT & Tech

AI: Community Planning and Social Analysis with ChatGPT and Open Data.

This course is about how you can use the revolutionary power of generative AI to carry out in-depth social analysis and community planning based on open data sources and statistics. We cover everything from which data sources exist and how to prompt effectively in ChatGPT to how you can then use the results to create insights, simulate scenarios, anticipate challenges and analyse complex social problems.

Format: On site
Language: Swedish
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About the course.

This course is about how you can use the revolutionary power of generative AI to carry out in-depth social analysis and community planning based on open data sources and statistics. We cover everything from which data sources exist and how to prompt effectively in ChatGPT to how you can then use the results to create insights, simulate scenarios, anticipate challenges and analyse complex social problems.

What you will learn

What you learn.

  • An understanding of how generative AI can be used with open data, and awareness of potential bias
  • Skill in using prompt techniques for effective communication with generative AI
  • An understanding of which open data sources exist and how they can be used
Curriculum

How the course is built.

  1. How generative AI can be a powerful resource in data-driven social analysis to create insights, simulate scenarios, anticipate challenges and analyse complex social problems

  2. How open data and generative AI can be used together to improve and streamline community planning, social analysis and climate work

  3. How you can use open data sources in practice from, for example, SCB, Skolverket, Skatteverket, MSB, Boverket and KOLADA together with ChatGPT for community planning and social analysis

  4. How geographic data, map services and APIs can be used with generative AI in social analysis, even if you are not a programmer

  5. How to design effective prompts to get more relevant and precise answers from AI models

  6. Ethical aspects of AI and data use in community planning, and identifying and handling discriminatory and skewed data (bias) in AI models

  7. How you can write your own AI ("GPTs"), a kind of tailored ChatGPT, where you can work with both your own documents and external data sources

Target audience

Who is this for?

The course is mainly aimed at you who want to streamline and broaden your social analysis with the help of generative AI, for example community planners, social analysts, sustainability analysts/strategists, case officers/business controllers with an analytical focus, architects or socio-economic analysts. To get the most out of the course you need some previous experience of generative AI.

What "verified" means here

Verified credential.

When you complete the course, Bonnier Akademi issues your certificate. Your name, the course content and the issue date are encrypted and secured on blockchain, so it cannot be changed, and anyone can check that it is genuine.

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