Chemometrics and Multivariate Analysis of Heritage Data: Databases and Data Mining
April 28, 2014
|Chemometrics and Multivariate Analysis of Heritage Data: Databases and Data Mining|
April 29, 2014
|Working with and analyzing large data and datasets|
About the Program:
Chemometrics is the science of extracting information from collected information systems by data-driven means, using methods such as multivariate analysis and statistical analysis. Chemometric analytical techniques are an important area for the cultural heritage field because they allow us to better understand and predict degradation mechanisms, and how to better preserve collections and assess treatments. Effective mining of large datasets allows us to predict behaviors of collection materials and treatments based on characterization of these materials by non-invasive or optical methods. Conservators and preservation scientists are now dealing with large volumes of data being generated, and this approach allows us to manage and extract accurate information for preserving and analyzing collections.
The presentation outlines the basis of chemometrics and describes the SurveNIR tool developed under the EU Framework initiative. The full-day workshop provides hands-on interaction with chemometric software tools and datasets, with afternoon sessions focused on more advanced analytics.
Dr. Matija Strlic, Senior Lecturer in Sustainable Heritage and Course Director of the MRes Heritage Science, University College of London (UCL) Centre for Sustainable Heritage (by remote feed)
Strlic earned his Ph.D. in Chemistry at the University of Ljubljana in 2000 and has served as a senior scientist, research manager, co-investigator or principal investigator on more than 30 research and networking projects attracting more than £10M funding predominantly for heritage science. The focus of his research is the development of new scientific tools and methods to study heritage materials and collections, and their interactions with the environment. Among the pioneering contributions are the development of the concepts of collections demography, of degradomics, use of Near Infrared Spectrometry with chemometric data analysis in heritage science, use of chemiluminometry for studies of degradation of organic heritage materials, and studies of volatile degradation products in heritage collections, including the smell of heritage. His current research interests include development and use of damage functions and integrated modelling of heritage collections.
Dr. Donald Dahlberg, Professor Emeritus, Department of Chemistry, Lebanon Valley College
Dahlberg earned a B.S. in Chemistry from the University of Washington and a Ph.D. in Physical Chemistry from Cornell University. After decades of doing research in physical organic chemistry, he started work in chemometrics in 1988 at the Center for Process Analytical Chemistry at the University of Washington in the Bruce Kowalski group (co-founder of chemometrics), and then returned to Lebanon Valley College to teach chemometrics. Currently, Dahlberg consults and supervises undergraduate research in industrial chemometrics. He also wrote and teaches the workshops, Chemometrics without Equations and Intermediate Chemometrics without Equations, so that those not fluent in matrix algebra can take advantage of the powerful tool of chemometrics.