World’s Simplest Survey: Microsimulation Model for Surveys

Gain a real-world perspective on how statistics are collected and analyzed to study extremes in climate change.

Partnering with the National Institute of Statistical Sciences (NISS) will inspire you to open an avenue for North Carolina students to learn about statistics in memorable and meaningful ways.

Government agencies conducting surveys such as the American Community Survey are facing daunting challenges. The demand for information is increasing, for business, policy and research purposes. At the same time, budgets are declining, participation rates are decreasing, and costs are escalating. The Census Bureau and other federal statistical agencies must consider dramatic changes to the ways in which they collect data. Examples range from use of the Web as a collection mechanism to employing “organic data” from sources such as Facebook and Twitter.

Conducting experiments to assess alternative strategies is financially and operationally impossible. Instead, simulation models must be used, comprising a virtual rather than real laboratory. NISS is developing such a model, which we call the World’s Simplest Survey Microsimulator (WSSM). As part of your fellowship, you will:

• Participate in ongoing research to improve and apply the WSSM, including adding new functionality as well as designing and conducting experiments using it.
• Receive unparalleled access to NISS experts who organize research programs on statistics, applied mathematics and other areas of science and engineering.
• Work in concert with your mentor, Dr. Alan Karr, to develop materials to examine the use of statistics in a project of clear societal relevance, while using relatively straightforward statistical ideas, such as internet-based public resources to collect data.
• Develop datasets and statistical analyses to examine these issues and translate your experience into classroom lessons and materials for middle and high school students.

Mentor:

Dr. Alan F. Karr , director of NISS

Location:

Research Triangle Park, NC

Sponsors:

Statistical and Applied Mathematical Sciences Institute