This site will help high school students and teachers find original, independent science research topics and questions that can be done without a professional lab...these can be done in a school lab or even in one's basement! The project ideas and research questions being developed and presented here have been vetted and could lead to true discoveries, and not just finding already known results. See our Welcome message. These are the types of projects that could be done and submitted to high school contests such as the Regeneron Science Talent Search, Junior Science and Humanities Symposium, or the Regeneron International Science and Engineering Fair, and be competitive. If you have an idea to share, or a question about one of the project ideas, contact us at vondracekm@eths202.org.
Pages (on the right side of the screen) have lists of ideas for different types of science research projects, and clicking on one of those ideas will take you to posts with details and all sorts of information about that type of project. Get more information about why there is a need for CABS!
Looking for data and trends in countless areas of life? The Our World in Data site, run through the University of Oxford, is amazing! It has thousands of interactive graphs on everything from world hunger to electricity accessibility to education to war to agriculture...
It is also a site used in teaching for the world's best universities and sponsored by the top scientific and media-based organizations on the planet. Use it when writing papers for school or doing your own research.
It is difficult to solve the world's big problems if one does not know the extent of the problems, and this site helps address that issue!
Get beyond the politics of big problems, and go after the actual data to help figure it out!
This article outlines a citizen science study at Michigan State University. Since a majority of Michigan citizens live in coastal areas, there is deep interest in understanding any coastal changes around the Great Lakes or other major water regions. This could be things like coastal erosion, changes in water coverage from the lakes and shifts in vegetation or animal densities as climate change consequences are realized, and so on. If you live in areas like this, drones are an interesting way to conduct research in a number of areas! If there is a local college or government agency that has interests in this type of work, one may be able to coordinate a research effort.
If interested in modern topics, such as quantum mechanics and applications to the world, check out the book Quantum Computing for the Quantum Curious. It is a good introduction for students to begin learning the quantum fundamentals that are relevant to the next generation of computing, which is quantum computing.
The Leidenfrost effect is one where water droplets on a hot plate float and move around spontaneously. It is an interesting fluids phenomenon, where the droplet hovers on a thin layer of vapor due to the hot surface. There are numerous experiments that can be done with this type of phenomenon, and it is a wonderful example of something that can be done in a school or home lab setting! Think of ways to vary the experiments you find in articles, to make them unique and your own - this is a way to develop your own original studies and investigations into everyday phenomena.
There are a few articles linked here that get into the use of artificial intelligence in cancer research. AI is revolutionizing many areas of study in all fields of STEM, and of course will only get better and more effective as these technologies continue to advance.
For those interested in STEM, this will be something you will almost certainly learn more about in your studies as you get older and into college. For those interested in things like computer science, computer and electrical engineering, and applied mathematics, this is certainly one of the growth areas in those fields and will only expand.
The 2021 Nobel Prize in Physics has been given to three scientists who work in complex systems science. This has been a rapidly growing field of study ever since computers began to be invented and applied to science research. Many of you may be interested in complexity science, emergent properties of systems, self-organization, and many other pieces of this field - it is fascinating, and complex systems are found in nearly all parts of life!
A wonderful resource for learning about complex systems science is the series of modules put out on the Systems Innovation YouTube channel. They have a number of learning modules that introduce us to this type of science; check out one of their videos below.
I recommend checking out the first one defining what a complex system is. One other resource to really learn about and actually work with complex systems computationally, is to use Netlogo (can either download it or run it on the web) and its library of simulations of systems - Netlogo is an agent-based coding platform that is ideal for numerous complex systems problems and simulations! With hundreds of existing programs to run and to modify to make your own while learning how to code, Netlogo is actually used by professors to do computational research!!
Another wonderful resource is the Santa Fe Institute website. This is a leading research institution dedicated to complex systems science, and there are many resources and publications to see what this type of science and research looks like.
Physiology: Two Americans won, David Julius and Ardem Patapoutian, for determining how the body takes physical sensations and turn them into electrochemical signals within the body so the brain can interpret them as changes in temperature and touch. See the announcement and some details here.
Physics: Three split the Prize for their work in understanding the science behind complex systems. One of the best examples of how others apply their work is in climate science, and how one begins to understand one of the most complex systems there is, global climate, that has countless of thousands of parameters and variables that interact in so many ways. How does one approach complexity? How does one go about trying to calculate and simulate such a system? How can we possibly understand how to take microscopic processes and figure out how those affect a macrocosmic system? Well, the work of Giorgio Parisi (Italy), Syukuro Manabe (Japan/Princeton), and Klaus Hasselmann (Germany) created the means to do this.
