AI is becoming an increasingly important tool in climate adaptation work, from risk analysis to strategic decision support. This course is about how to use AI as a concrete tool in combination with open data from, for example, SMHI and SCB. Among other things, you will learn how to identify risk zones, create climate assessments, analyse scenarios and formulate climate strategies. You will also learn how AI can be used to create and understand thematic maps.
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AI is becoming an increasingly important tool in climate adaptation work, from risk analysis to strategic decision support. This course is about how to use AI as a concrete tool in combination with open data from, for example, SMHI and SCB. Among other things, you will learn how to identify risk zones, create climate assessments, analyse scenarios and formulate climate strategies. You will also learn how AI can be used to create and understand thematic maps.
During the course we use the paid version of ChatGPT. To access all features you need such an account when you take the course. More information is sent to booked participants one week before the course starts. COURSE OBJECTIVES: As a participant you will gain - In-depth knowledge of how you can use generative AI as a powerful tool in climate adaptation and sustainability work - An understanding of how to identify useful data sources and combine them with AI - Develop skills in creating simple maps and visualisations with the help of AI
What generative AI is and how it can be used in climate work to identify risk zones, analyse heat effects or illustrate green infrastructure in urban environments How ChatGPT works, with examples of possible applications in municipalities and projects
Introduction to SMHI, SCB, NGP (Nationella geodataplattformen, the national geodata platform) and Copernicus (the EU's Earth observation programme, which offers satellite data on environment, climate and land use) How AI can process and reason about geographic data
How you, together with AI, can create input for climate assessments in built environments using SMHI data among other sources How AI can support decisions and analyses by generating draft texts, visualisations and statistical summaries based on open data
How AI can be used to visualise data Exercise: create thematic maps from green infrastructure data with the help of AI
How to use AI as a tool to formulate climate strategies and decision support How AI can help when preparing documentation for sustainability-focused procurements How AI can analyse strategic scenarios and contribute draft texts for governing documents, action plans and collaboration documents between different actors Prompt exercise: Generate input for climate adaptation plans and scenarios Reflection: How can AI support collaboration between different administrations and organisations?
What comes next? Adapt, evaluate and scale up Group discussion and scenarios Limitations and ethical risks in AI use
- Sustainability strategists - Climate and environmental managers - Planners and urban developers - Officials in municipalities, regions and government agencies - Consultants in environment, climate and community planning
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.
Sample Credential with placeholder data. Each credential is issued with the recipient’s details and is verifiable with the provider.