Idea Development

1. Brainstorming and Observation

• Look at your hobbies and interests: Do you play video games? Maybe you could test how different refresh rates affect performance. Are you a baker? You could experiment with how different types of sugar affect the rise of a cake.

• Identify problems you've noticed: Is there a problem in your community or at home that you could try to solve? For example, maybe you've noticed that a certain type of plant struggles to grow in a particular soil, or that a specific cleaning product isn't as effective as advertised.

• Think about things that make you curious: What questions pop into your head during your science class? Why do some foods brown faster than others? How does temperature affect the density of a liquid?

• Read science magazines, blogs, and books: These resources are full of interesting topics and recent discoveries that can spark an idea. Science News

• Look online at what ideas have already been done- ISEF Project Library and ISEF Abstract Library This can be a great starting point to see what's out there, but remember to choose something that truly interests you and that you can make your own.

Go Beyond "What If?" to "How and Why?"

• Move from simple comparisons to complex relationships: Instead of "Which fertilizer works best?", consider "What is the optimal nitrogen-phosphorus-potassium ratio for maximizing the yield of a specific crop, and what is the biochemical mechanism behind this effect?"

• Focus on variables and controls in a more nuanced way: projects should demonstrate a deep understanding of experimental design. You should not only identify your variables but also justify why you are controlling certain factors and how you are measuring your results accurately.

• Emphasize data analysis and statistics: Use statistical methods to analyze your data. Don't just present a graph; use tools like t-tests, ANOVA, or linear regression to determine if your results are statistically significant.

Explore Interdisciplinary and Emerging Fields

• Bioinformatics: Use public databases like the NCBI (National Center for Biotechnology Information) to analyze gene sequences. You could investigate the evolutionary relationships between species or look for gene mutations associated with a disease.

• Computational Science: Write a program or a simulation to model a natural phenomenon. For example, you could model the spread of a disease, the behavior of a pendulum, or the dynamics of a solar system.

• Neuroscience: Investigate how the human brain processes information. You could design a cognitive test to see if multitasking affects short-term memory or use EEG data (if available) to analyze brain waves during different activities.

• Environmental Engineering: Design a new, more efficient method for cleaning up oil spills or filtering microplastics from water. Research and test different adsorbent materials.

• Materials Science: Create a new composite material with unique properties. For instance, can you combine different polymers or fibers to create a stronger, lighter material?

Leverage Technology and Advanced Equipment

• Microscopy: Use a compound or electron microscope to observe cellular structures or the surface of materials. You could study the effect of different environmental stressors on plant cells or the crystalline structure of different types of sugar.

• Drones and Robotics: Program a drone to collect environmental data (e.g., air quality, thermal images) or build a robot to perform a specific task.

• 3D Printing: Design and 3D-print a custom piece of lab equipment, a model of a molecule, or a prosthetic device. This is a great way to combine engineering with a scientific problem.

• Sensor Technology: Use sensors (e.g., Arduino, Raspberry Pi) to collect real-time data on environmental conditions, such as soil moisture, light intensity, or air pressure.

Think About Real-World Applications and Novelty

• Solve a real-world problem: Go beyond a simple experiment and try to create a solution. For example, instead of just testing water filters, design and build a new, low-cost filter for use in developing countries.

• Replicate and improve upon existing research: Find a study published in a scientific journal and try to replicate its findings. Can you improve the experimental design, use a larger sample size, or test a different variable? This shows a deep understanding of the scientific method.

• Investigate a local issue: Is there a problem in your school or community? Maybe you could analyze the water quality of a local river, study the effects of noise pollution on a nearby ecosystem, or optimize the school's recycling program.

2. Focusing Your Idea

Once you have a general topic, you need to turn it into a testable question. A good science fair question is:

• Specific: Instead of "How does light affect plants?", ask "How does the color of light affect the growth rate of a bean plant?"

• Measurable: You need to be able to collect data. For example, you can measure plant height, weight, or the number of leaves.

• Feasible: Can you realistically complete this project with the time, resources, and materials available to you?

3. Developing a Hypothesis

A hypothesis is an educated guess about the outcome of your experiment. It should be a statement that answers your question. For example, if your question is "How does the color of light affect the growth rate of a bean plant?", your hypothesis could be:

• "If a bean plant is exposed to blue light, then it will grow faster than a plant exposed to red light or white light, because blue light is associated with vegetative growth."

4. Thinking About the Experiment

• What will you test? (This is your independent variable - the one thing you will change). In the plant example, it's the color of the light.

• What will you measure? (This is your dependent variable - what you're observing or measuring). In the plant example, it's the plant's growth.

• What will you keep the same? (These are your controlled variables - everything that needs to be identical for each test group to ensure a fair test). In the plant example, this would include the amount of water, type of soil, size of the pot, and temperature.

• What is your control group? (The group that you use as a baseline for comparison, which doesn't receive the independent variable). In the plant example, this would be a plant exposed to natural sunlight or standard white light.

Remember, the best science fair projects are the ones that you are genuinely excited about. Good luck!

Mentors

Types of Mentors

Teacher: Your science fair teacher is your "adult sponsor" and must always approve of your project before you begin. He/she is your main point-of-contact for all questions on project design, project documentation (project paperwork), and entering the fair.

Parent: Your parent/guardian must also always approve of your project. STEM research is all about the unknown! And that always carries an element of risk. Your parent/guardian must be comfortable with the risks of your project, the ethical expectations, and your project commitment.

Professional mentors: Professionals in the field of your topic are amazing resources to help you design a quality project and possibly provide supervision and/or assistance in conducting your project.

So who signs where?

Form 1 - Teacher signs (can be a parent if you are Homeschooled)

Form 1B - Student and parent/guardian sign

Form 1C- Depends- This form must be completed AFTER experimentation by the adult supervising the student research  either virtually or on site, conducted in a regulated research institution, industrial setting or  any work site other than home, school or field.

Form 2- Depends -May be required for research involving human participants, vertebrate animals, potentially hazardous  biological agents, and hazardous substances and devices. Must be completed and signed before the start of student experimentation.

Form 3 - Depends -Must be completed before experimentation; recommended for all projects. May be required  for projects involving Human Participants, Hazardous Chemicals, Materials or Devices or Potentially  Hazardous Biological Agents. This should be signed by the person who will actually be there while you're doing the work (the "Designated Supervisor").

• • If you are doing the project at school, the teacher should sign.

  • If you are doing the project at home, the parent/guardian should sign.

  • If you are doing the project at a facility, the professional mentor supervising you should sign.

• Please note that Form 1A and the Research Plan do not require signatures.

Project Planning 

After you’ve chosen your topic

• Formulate a Testable Question: This is the most crucial part. A high-school-level question should be specific, measurable, and complex enough to require a substantial investigation.

  • Too simple: "Does music affect plant growth?"

  • Better: "How does the frequency (Hz) of sound waves affect the rate of chlorophyll production in Elodea plants?"

Conduct Background Research 

• Deep Dive: Once you have your question, find as many reputable sources as you can to understand the existing knowledge on the topic. Use university libraries, Google Scholar, and academic databases (like JSTOR or PubMed).

• Take Detailed Notes: Keep a research log or journal. Record key findings, the names of researchers, and the complete citations for every source you use. This will save you immense time later when writing your bibliography.

• Develop a Hypothesis: Based on your research, formulate an educated guess (your hypothesis) about the outcome of your experiment. A good hypothesis is a concise statement that explains your reasoning.

  • Example: "If Elodea plants are exposed to high-frequency sound waves (400-500 Hz), then their rate of chlorophyll production will increase, because high frequencies may stimulate cellular metabolism."

Design Your Experiment

• Identify Your Variables:

  • Independent Variable: The one thing you will change or manipulate (e.g., sound frequency).

  • Dependent Variable: The one thing you will measure to see the effect (e.g., chlorophyll production rate).

  • Controlled Variables: All the factors you must keep constant to ensure a fair test (e.g., light exposure, temperature, water source, plant type, duration of exposure).

• Define Your Procedures: Write a clear, step-by-step procedure. Anyone should be able to replicate your experiment using your instructions. Be very specific about measurements, timing, and equipment.

• Consider Safety and Ethics: High school projects often involve chemicals or live organisms. Make sure your design is safe and follows all ethical guidelines. If your project involves human subjects, you may need to get approval from a review board.

• Plan for Data Collection: How will you record your data? Create a table or spreadsheet before you start your experiment. Plan to take multiple trials to ensure your results are reliable and not due to chance.

• Fill out the Research Plan document

Project Execution

• Gather Materials: Collect all the necessary equipment, materials, and reagents.

• Follow Your Plan: Adhere strictly to your written procedure. Resist the urge to make changes mid-experiment. If you must change something, note it down in your lab journal.

• Record Everything: Keep a detailed lab notebook. Record your raw data, any observations you make, unexpected results, and any problems you encounter. This journal is a critical component of a high-level project.

• Take Photographs: Document your experiment with photos at various stages. This will be invaluable for your display board. 

Research Log

A research log (often called a lab notebook or journal) is a crucial component of a science fair project. It's the official record of your entire scientific journey, from the first spark of an idea to your final conclusion. Here's an outline of ideas and tips to help you create a detailed research log.

Tips for Creating a Top-Tier Research Log

1. Use a Bound Notebook: A bound composition notebook or a spiral-bound notebook is ideal. The pages should not be easily removable. This prevents judges from suspecting that you've tampered with the data or removed pages with mistakes. It can also be done electronically and still seen as authentic. 

2. Date Everything: Every single entry, whether it's a new idea, a change in procedure, or a data point, must be dated. This creates a chronological record of your work and demonstrates that the log was kept as you went along, not written after the fact.

3. Use Pen, Not Pencil: This prevents entries from being erased or altered. If you make a mistake, simply cross it out with a single line. Do not scribble it out or use white-out. This is a crucial rule in scientific documentation; a mistake might be a valuable clue later on.

4. Record Everything: No detail is too small. Record thoughts, feelings, unexpected observations, mistakes, and changes in plans. A judge is more impressed by an honest, detailed log that includes errors and fixes than a "perfect" log that seems too good to be true.

5. Be Specific and Detailed: Write your entries with enough detail that another person could replicate your exact experiment just by reading your log. Include brands of materials, precise measurements, and specific timings.

6. Include Visuals: Tape or paste in photos, diagrams, sketches, or computer printouts of your data. Label them clearly and add a date. This makes your log more engaging and easier to understand.

Important Areas to Include

Think of your research log as a chronological story of your project. Here are some suggestions of what to include in a research log. Keep in mind, every project is different so what needs to be included in a log and how it looks will be different for each one. 

Title and Project Genesis

• Title Page: Your name, school, project title, and the year.

• Initial Ideas: The very first pages should show your brainstorming process. List different topics you considered, mind maps, and a brief explanation of why you chose your final topic.

• Project Question & Hypothesis: Clearly state your final, testable question and your hypothesis. You can include earlier versions of these to show your thought process.

Background Research

• Research Summary: This is where you summarize the key scientific concepts and existing research that inform your project. Don't just copy and paste; write a brief summary of what you learned from each source.

• Source Citations: Keep a running list of every source you use, formatted correctly (e.g., in MLA or APA style). This will make creating your bibliography for your board much easier. Include articles, books, websites, and even interviews.

Experimental Design

• Materials List: A comprehensive list of everything you used, including specific quantities, brands, and costs.

• Procedure/Methodology: A numbered, step-by-step description of how you will conduct your experiment. Include details about how you will measure your dependent variable and how you will control for confounding factors.

• Variables: Clearly identify your independent, dependent, and controlled variables. Explain how you will control each of the controlled variables.

Data Collection and Observations (The Core of the Log)

• Raw Data: This is the most important section. Every piece of raw, unanalyzed data must be here. Organize it in tables with clear headers and units.

• Qualitative Observations: Don't just record numbers. Write down what you saw, smelled, or heard during the experiment. Did a plant's leaves change color? Did a chemical reaction produce an unexpected odor? These qualitative details can be just as important as your quantitative data.

• Daily Log: This can be a running, diary-style entry. For example:

  • Date: Oct 5, 2025

  • Time: 4:30 PM

  • Entry: Planted bean seeds for Trial 1. I noticed that the soil felt a little damp already, so I used less water than planned. Place them under the light source as described in the procedure.

Data Analysis and Conclusion

• Calculations: Show your work! Include all calculations, such as averages, standard deviations, or any statistical tests you perform.

• Graphs and Charts: Paste or draw your graphs and charts. Label them clearly and provide a brief interpretation of what each one shows.

• Final Thoughts: This is where you write about your conclusion. Does the data support your hypothesis? Why or why not? What did you learn? Acknowledge any limitations or challenges you encountered.

Future Research & Reflection

• Ideas for Future Research: What's the next step? What questions arose from your project? This shows that you understand science is an ongoing process.

• Personal Reflection: A great way to end the log. Write about what you enjoyed, what was challenging, and how you grew as a scientist during the process.

Documenting AI USE

You should dedicate a specific section in your research log to this topic. Here is an outline of what to include and how to approach it:

AI and Technology Use in My Project

This section should be a concise but thorough account of every instance where you used AI or other advanced computational tools. The goal is to be fully transparent, just as you would be about using a specific type of microscope or a particular chemical.

1. General Statement of Principle

Start with a clear statement explaining your philosophy on using these tools. This shows a judge you've thought critically about the issue.

• Example: "My project leveraged AI and machine learning tools to enhance efficiency and explore data in novel ways. This section documents every instance of AI use to ensure transparency and uphold the highest standards of academic honesty. I used these tools as an assistant and a collaborator, not as a replacement for my own critical thinking or experimental work."

2. Specific AI/Tool Applications

Create a bulleted list or a table that details each instance of AI use. For each entry, specify the tool, the purpose, and the ethical considerations.

• Brainstorming & Idea Generation:

  • Tool: Used a large language model (LLM) like ChatGPT or Gemini to brainstorm initial project ideas and refine my research question.

  • Purpose: To explore a wide range of topics quickly and to help formulate a more precise and testable hypothesis.

  • My Contribution: I provided the initial broad topic and used the AI's suggestions as a starting point, selecting and refining the final idea based on my own interests and feasibility analysis.

• Background Research & Summarization:

  • Tool: Employed an AI-powered search tool or summarization feature to quickly grasp the main points of a long scientific paper.

  • Purpose: To accelerate the literature review process by identifying key findings and methodologies in complex documents.

  • My Contribution: I read the full articles that the AI summarized to verify the information and ensure I understood the context and nuances. The AI did not replace my own reading and analysis.

• Data Analysis & Code Generation:

  • Tool: Used a code-generating AI (e.g., GitHub Copilot or a ChatGPT code interpreter) to write specific scripts for data analysis.

  • Purpose: To automate repetitive tasks like data cleaning and to generate specific statistical plots (e.g., a histogram or a scatter plot).

  • My Contribution: I wrote the overall algorithm and the logical flow of the analysis. I reviewed and debugged the AI-generated code, ensuring its accuracy and that it correctly addressed the statistical questions I posed.

• Grammar & Writing Assistance:

  • Tool: Utilized a grammar checker (e.g., Grammarly) or an AI language model for proofreading and minor edits of the project report.

  • Purpose: To correct spelling and grammar mistakes and to refine sentence structure for better clarity.

  • My Contribution: I wrote every word of the report's content, including the analysis and conclusion. The AI's role was strictly limited to stylistic and grammatical suggestions, similar to a human editor.

3. Ethical Considerations and Reflection

This is where you show a deeper level of thinking. Reflect on the ethical implications of using these tools and what you learned from the experience.

• Reflection Questions to Answer:

  • What are the limitations of the AI tools you used? (e.g., they can "hallucinate" facts or make logical errors).

  • How did you ensure the AI's output was accurate and not biased?

  • What did you do yourself that the AI could not do for you? (e.g., running the physical experiment, interpreting unexpected results, forming a unique hypothesis).

  • How did this use of AI enhance your project and your learning?

By including a dedicated section on AI and technology use, you're not just complying with a rule—you're demonstrating a thoughtful and modern approach to research. This shows judges that you're not afraid of new tools and, more importantly, that you understand how to use them responsibly and ethically.

After experimentation

Analyze Your Data 

• Organize and Calculate: Transfer your raw data into a spreadsheet. Calculate averages, standard deviations, and any other relevant statistics.

• Create Visualizations: Generate charts and graphs (e.g., bar graphs, line graphs, scatter plots) to visualize your data. Make sure they are clearly labeled and easy to understand.

• Perform Statistical Analysis: This is where high school projects shine. Use statistical tests (like a t-test or ANOVA) to determine if your results are statistically significant. Don't just say "X is bigger than Y;" demonstrate with a p-value that the difference is not due to random chance.

Formulate a Conclusion and Discuss 

• State Your Findings: Does your data support or refute your hypothesis? Be honest and direct.

• Explain the "Why": Discuss what your findings mean in the context of your background research. Why do you think you got the results you did?

• Address Limitations: Acknowledging the limitations of your study (e.g., small sample size, potential sources of error) shows maturity and a deeper understanding of the scientific process.

• Suggest Future Research: Based on your findings and limitations, what would be the next logical step in this line of research?

Project Display

CKRSEF is an in-person fair with a required physical project display (trifold board or poster). Please review the Display and Safety rules to determine size requirements and allowed vs non-allowed display components.

Reminders:

• NO electrical outlets at the fair.

• NO floor projects - all projects MUST be on the table top and be a maximum 66 inches in height (from the table, including the stand).

Best Practices for Effective Research Displays

The most effective strategy is an "images first" one: First, plan the images you'd need to explain your project (including graphs). Then, plan what words you'd need to add to make those images all make sense together, to tell the story of your research experience.

• Please note that ALL images (including graphs and data tables) must have appropriate citations on your board/poster. Each image must be cited individually!

• You're not allowed to show distressing images on the board/poster. Also, you're discouraged from showing pictures with other people (besides the student researcher(s)) on the board/poster. If you MUST, then you need a signed consent on hand at your table.

Besides the images, be intentional in quickly directing judges' eyes to what you want them to take-away about your project:

• Use large font (and fewer words)

• Make important things larger and more toward the center

• Use color consistently and gently - it should be pleasing to look at, and one color should mean the same thing throughout the display

• Make sure that the layout is arranged in the directions we read: top-to-bottom and left-to-right. Most STEM professionals are used to seeing research posters arranged in columns (so they'd read top-to-bottom in the leftmost column, then repeat for each column after that), but you're not limited to the three-column format. Just keep the flow logical!

Google Image searches can show lots of sample layouts. The poster/board should include, at minimum:

• Your project title and your name(s)

  • But NOT your mentor's name(s) and NOT the names of any professional settings where you worked

• Background information: why your project is important, what science concepts or problems were at the heart of your project, and some kind of statement of what the project's overall purpose was (engineering goal, research question, and/or hypothesis)

• Methodology: what you did

  • Some teachers require a Materials List on the board/poster. It doesn't hurt to include it, but we feel that it isn't necessary. So if space is limited, best practice is to NOT put this on the board/poster.

  • Please DO include some kind of visuals of your experiment setup or prototype design in-process to accompany the description. Pictures and/or diagrams really help judges to get a feel for your project in the quick judging times. Again, you must cite each image and/or diagram individually. 

  • While it's okay to include a computer program name or the name of a piece of equipment in describing your methodology, you should really avoid using brand names as much as possible.

    • OKAY: I ran the script in Python and...

    • OKAY: I used a Vernier probe to measure the pH of each liquid.

    • NOT OKAY: SanitizeMe resulted in less bacterial growth than SaniSpray. Instead, say the liquid kind resulted in less bacterial growth than the spray kind.

• Results: what you found

  • This should really be the highlight of the board/poster.

  • Visuals are very welcome here, too! But be sure to include key interpretations of those graphs (or tables, if graphs are not possible).

• Discussion: what your results mean for the world

  • This section should include the conclusions, applications, implications, and/or future directions.

• References: We do NOT require you to include your complete bibliography on the board/poster. But you should include sources that you referenced directly on the board/poster and if there 1-2 key sources that inspired your project.

  • Every image, graph, chart, etc. must be cited individually! 

Besides the Board/Poster

Remember, you also have the table space!

• Bring your Research Log to include on the table as part of your display. You should also, technically, have a full copy of your project paperwork file. 

  • You are encouraged to add/expand this into a binder that includes any extra graphs that didn't fit on your board, key references (bonus if you've highlighted/annotated them) that were central to your project, and any other supplemental info you might benefit from having on hand during judging. As a pro-tip, use labeled tabs! I love smaller-sized post-its that hang just over the edge so I can label something I may want to quickly flip to later.

• For engineering design projects, you may be able to bring your prototype--you'd just have to check the Display & Safety rules. If you can't bring the actual prototype, you should definitely bring pictures and/or video clips showing it in action!

Prepare for Judging

With each judge, expect to have an 8-10 minute conversation:

• 2-3 minutes for you to present the key points of your project (why you did what you did, what you did, what you found, and what your results mean for the world)

• 5-7 minutes for interview (the judge will ask questions for you to answer)

*REMEMBER: No project materials may be distributed to judges. 

The best tip is to plan and to practice!

• Resource: Planning Your Presentation

• Resource: Sample Judging Questions

It's great to plan in advance how you might answer some of the common questions. Just be careful to really listen to the judges' questions. Sometimes we can fall into the trap of answering a question we practiced, when that's not really what they asked. 

 Showcase Your Understanding!

Most judges are going to want to see how well you understand the science principles (or math principles) that underlie your project. Research this in advance, practice talking about it, and definitely plan to link your project results to what is known about the topic!

But it's also important to acknowledge when you don't know something. If a judge asks a question and you don't know, the absolute BEST thing you could say is, "I don't know the answer to that question, but I suspect it's ________________________ because _________________________."

 Last, let your enthusiasm shine through!

Our judges are most excited about your excitement for STEM. Plan and practice, yes, but also try to relax and enjoy it! Judging interviews should be a time when you learn, when you stretch your mind a little (or sometimes a lot!). And besides, it's a time when you get to chat with a STEM professional in a field you're interested in. Enjoy the chance to converse with them, and gobble up the feedback they give--it's often what helps our students compete so well at the higher levels like State and National/International!