Challenge teams tackle a range of interesting problems to solve. The
most successful projects address a topic that holds great interest for
the team. In recent years, ideas for projects have come from Astronomy,
Geology, Physics, Ecology, Mathematics, Economics, Sociology, and Computer
Science. It is very important that the problem a team chooses is what we
call "real world" and not imaginary. A "real world" problem has measurable
components. We use the term Computational Science to refer to science
problems that we wish to solve and explain using computer models.
Here are some sample questions teams might wish to answer: Is our county
going to run out of water? How are attitudes towards self-care in the
prevention of disease changed? What is the liklihood that the deer
population in Bandelier will run out of grassland?
Projects fall into a couple of categories. In one category are problems
that have clear mathematical models with well-defined variables. For some
examples of these, you can look at the
Population Model (ppt) and
Population Plot A (xls) files,
A Model for Computational Science
Investigations (ppt) and
Falling Rock Model (Excel).
These are problems that are usually modelled using Java or Excel.
Other projects study what are called complex systems and examine emergent
behavior or the behavior of a system based on the way components of a
decentralized system interact with each other. Each individual follows
rules that describe its behavior and the results show the outcomes based
on the interactions between the different groups of individuals. These
kinds of projects are modeled using StarLogo. "With StarLogo, you can
model (and gain insights into) many real-life phenomena, such as bird
flocks, traffic jams, ant colonies, and market economies." (Adventures
in Modeling: Exploring Complex Dynamic Systems with StarLogo)
Here is a link to an article about a huge demonstration in Leipzig before
the fall of the Berlin Wall that was not organized by a central authority.
How did all of these people decide to come together on that particular day?
To download StarLogo (it's free) and to try out some examples, please go
and then play with some of the Projects - there is a link on the banner menu.
After a team has found an idea that is interesting, the members begin the
process of focusing on the key questions they wish to examine. Mentors are
very useful at this point because they help teams clarify and define
precisely the questions to be answered. Often interesting problems are
very large and it is essential to think about the parts that make up the
whole of the problem. When the parts have been identified, then teams can
decide where they wish to begin. Later, methods for solving other parts
of the problem can be designed. Have a look at these links about breaking
a problem into essential components:
Theme Park Overview (pdf)
Theme Park Overview (ppt)
Under Theme Park Kangaroo Model (Excel)
Falling Rock Model (Excel)
Rock Model (Excel).
A team may decide to work on a project a second year. The demonstrated level
(quantity and quality) of work invested in the research, modeling, and
implementation of a continued project must be comparable to that invested
in a new project, for it to be judged competitively.
The best preparation for a follow on project and potential publication is to
do some journal research to see what has been done before. Then do some twist
on the work to make it unique such as doing a model in an agent based software
instead of the languages commonly used in the articles. Then you could add in
a behavioral factor that would be difficult to do in the traditional
approaches, highlighting the advantages of the new approach.
You should also look at the review comments from the previous year's project.
The judges' comments are often very close to the comments you will get from