Our research lab publishes dozens of papers every year to promote projects in our field of research. Among these papers are studies detailing our lab’s findings from data analysis.

We would like to collaborate with students to analyze our raw datasets.

This will involve several different steps for the students, including:

• Familiarizing themselves with our project’s objectives and analysis procedures.
• Checking for and correcting inconsistencies in the dataset.
• Calculating important results and plotting data in graphs and charts.
• Performing relevant statistical tests to determine the significance of results.

Bonus steps in the process would also include:

• Recommending future areas of study.

By the end of the project, students should demonstrate:

• Familiarity with our objectives and analysis
• Correction of data inconsistencies
• Calculation of important results and creation of graphs
• Statistical testing

Bonus steps would include:

• Recommending topics for future research projects

Final deliverables should include

• A final report.
• A presentation.

Students will connect directly with us for mentorship throughout the project. We will be able to provide answers to questions such as:

• Our research projects
• Current understanding of our field of research
• Input on choices, problems or anything else the students might encounter.

In order to complete this project, students can self-teach, but it is beneficial to be familiar with:

• Data analysis methods

Nice to haves for students include

• Knowledge of relevant software

Again, students can complete this project without any of the prior knowledge listed here. Students will be expected to research and learn more about the above as the project goes along.

We can provide students with:

• A walkthrough / tutorial of the data analysis procedure and relevant tools