Office: 412 Thomas Bldg. Phone: 814-863-4918 Email: sesa at psu dot edu

Projects:

Statistical approaches to data privacy and confidentiality

Statistical disclosure limitation (SDL) applies statistical tools to the problem of limiting releases of sensitive information about individuals and groups that are part of statistical databases while allowing for proper statistical inference. A major theme of SDL deals with the tradeoff between disclosure risk and data utility. This work is related to privacy-preserving data mining (PPDM).

 

 

Application of statistics in HCI and CSCW

Human computer Interaction (HCI) and Computer Supported Cooperative Work (CSCW) are young scientific communities (1980s on) that lie at the interface of computer science, psychology, design and usability studies. We explore applicability and validity of current statistical methodology and consider development of new methods needed to address the complexity that arise in modeling data from this context.

 

Survey data analysis on cessation of smoking

 

 

Past projects include

Scientific validity of the polygraph, and evaluation of polygraph data.

Usability methods in HCI and virtual environments.

 

 



 

 

census

1940's U.S. Census confidentiality poster

cscw

Iris CSCW project

quitsmoking

Stop smoking