Handling/Managing Data
Data Management provides a number of learning opportunities for the development of specific skills.
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Data management is the process by which data is gathered, stored, accessed and secured from various sources. The data can be in numerical or other forms. It seeks to provide good reliable data to work with.
Activity: Examine the framework for handling data which includes a list of data management skills.
Consider the opportunities that working with climate data might bring to develop these skills.
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Accurate, reliable data is critical to setting a sound climate strategy. There are many diverse issues that can make collecting and analysing climate data especially challenging, such as standardising methods, collection inconsistencies and ‘missing’ data.
Activity: Explore an example of the open access climate change data available from the Data Hub, an open data project creating tools and applications for data,
Initiatives like the Met Office Climate Data portal, contain different data sets, guidance and applications, makes climate data much more accessible.
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Activity: Find out whether your national scientific institutes and meteorological centres provide open access to their data?
Artificial Intelligence for Data Handling
There are many statistical packages that can be used for data handling. In particular, secondary school students can utilise statistical models through Microsoft Excel.
Additionally, Artificial Intelligence (AI) tools can be exploited for handling data. AI can strengthen climate predictions, enable smarter decision-making. Find out more
Some examples of relevant AI tools for managing data on climate change:
– ClimateAI: A platform that uses machine learning to predict the impact of climate change on businesses.
– Cervest: A platform that uses AI to predict the impact of climate change on land and assets.
– Jupiter Intelligence: A platform that uses AI to predict the impact of climate change on infrastructure.
– The Climate Service: A platform that uses AI to help companies understand the financial risks associated with climate change.
These tools use machine learning algorithms to analyse data on climate change and provide insights on how it will impact land, assets, businesses and infrastructure. These insights can also help organisations understand the financial risks associated with climate change.
However AI needs to be used responsibly as machine learning applications have raised concerns about privacy, transparency and data bias. Find out more
Other useful AI resources and projects
10 Best AI Tools for Education (2023) – Unite.AI
AI in Education: How K12 Schools Can Use Artificial Intelligence Education
43 Examples of Artificial Intelligence in Education
How AI can help the world prepare for climate adaptation
AI Is Essential for Solving the Climate Crisis | BCG
Environmental Intelligence: Applications of AI to Climate Change, Sustainability and Environmental Health
7 Data-Based & Artificial Intelligence Projects To Help Fight Climate Change