Program dates: July 11 – July 25, 2026
- Move-in: July 11
- Orientation: July 12
- Move-out: July 25
Application dates are available on the Application Information page.
This academy is for students interested in conducting experimental research in one of the physical sciences (chemistry, physics, biology, etc.) or engineering (chemical, materials, electrical, environmental, mechanical, nuclear, biomedical, etc.). The empirical methods taught in this seminar apply to any situation in which you want to make an improvement in some product or process and have full control of the factors you suppose might enable you to make the improvement. For example, you might want to improve:
- A medicine's potency through changing its delivery system, manufacturing processing conditions, and chemical composition
- The taste of a chocolate chip cookie by altering baking time and temperature, and amounts of salt, butter, and vanilla
- The strength of a building material by varying the composition of its filler material, the annealing time of the material, and the type of metal added to the material
- The yield of a manufacturing process by changing the temperature, pH, and catalyst type
- A crop's resistance to insects by varying four different parts of the plant's genome
- The charging capacity of a battery by switching out its membrane material, membrane thickness, anode material, and electrolyte solution concentration
Learning outcomes
During the academy, we will develop the skills to think critically, analyze data, and draw conclusions. Specifically, we will focus on:
- Using experimental data to either accept or reject hypotheses generated within the framework of the scientific method
- Evaluating random experimental error and using it in the determination of the validity of your hypothesis
- Designing experiments to gain the most amount of information while running the fewest number of trials
- Randomizing and blocking experiments to avoid bias in the estimate of the effects of independent variables
- Incorporating multiple independent variables in a set of experiments in a way that allows the experimenter to determine the individual effect of each variable on a dependent variable as well as the effect of the interaction between independent variables
Prerequisites
Students must have successfully completed one year of high school algebra prior to the start of the program.
Technology statement
Students are required to bring their laptops or tablets to the program for in-class work and must have administrative access to make changes to the computer system and install applications.
Michael Eiseman has worked in research and development in the chemical industry as a chemical engineer for over 30 years. He has developed products and manufacturing processes for the plastics and coatings industries. When systems are too complex to obtain good predictions from fundamental models, Mike designs and conducts laboratory experiments to create empirical models that often advance fundamental insight.


