1. Choose a topic
Start with something you find interesting: a problem, question, observation, idea or project you have already worked on.
A good project does not need to be large or perfect from the beginning. It needs a clear question, a careful method and a good explanation of what you did and what you learned.
Many people begin with an idea that is too large. That is normal. The next step is to narrow the idea so that it can be investigated, tested or explained clearly.
Start with something you find interesting: a problem, question, observation, idea or project you have already worked on.
Try to make the question clear enough that you can collect data, test a solution or explain results.
How will you reach a result? Through measurements, an experiment, interviews, a survey, design, programming or source work?
The question does not need to be perfect immediately. It may change while you work on the project. Most importantly, it should help you explain what you are trying to find out.
“How does technology affect young people?”
“How do students in my school use AI for homework?”
The second question is more focused, and it is easier to choose a method, collect data and present results.
Science builds on previous knowledge. It is normal to read articles, look at previous projects, use data or get ideas from others. What matters is that you clearly describe your sources and explain your own contribution.
Look at what has already been written, measured, tested or designed in relation to your project.
Think about how your project connects to previous knowledge. Are you testing something new, comparing results or looking at a new context?
Explain where ideas, data, images, methods or information come from. This strengthens your project.
Think about what you will measure, how often, under what conditions and how you will record your results.
Think about who you will ask, what questions you will use, how you will protect personal information and how you will interpret the answers.
Think about what problem the solution should solve, how you will test it and how you will evaluate whether it works.
Think about where the data comes from, what it shows, what limitations it has and how you can explain the results.
A good presentation does not only describe the result. It also explains why the project matters, how you worked on it and what could be done next.
Begin with a clear description of the question or problem.
Explain the method so that others can understand your work.
Show the main results and explain what they mean.
When you present the project, you need to explain what you did and answer questions. The jury wants to understand the thinking behind the project, not only see a perfect result.
Why did you choose this project? What made it interesting to you?
What did you do first, what changed along the way and how did you reach your conclusion?
Think about what might be unclear and practise answering questions about method, results and next steps.
Try to choose a project that can be completed and explained well within the time you have.
If the method is unclear, it becomes difficult to explain how the results were produced.
Using sources is not a weakness. Showing where the knowledge comes from is a strength.
A good project shows that you thought about the question, tried a way to answer it and learned something from the process. It is normal for results to surprise you or for the project to raise new questions.
Question → Method → Results → Explanation → Next steps.