Dr. Kathryn Laskey	Kathryn Laskey of the Department of Systems Engineering and Operations Research at George Mason University, conducts research and teaches undergraduate and graduate courses in Systems Modeling, Bayesian Networks, Decision Analysis, and Computational Models for Probabilistic Inference. Her students use Netica for much of their labwork. Her website includes excellent course notes in PDF format.
Dr. Bruce Marcot	Bruce Marcot is a wildlife ecologist and researcher who has been applying Netica to ecological modelling for several years. (See the Literature tab for links to some of his recent works). To specially note are the links on his web page to: A Process for Creating Bayesian Belief Network Models of Species-Environment Relations Methods for Peer Review Updating of Bayesian Belief Network Species Models.
Dr. Kevin Korb & Dr. Ann Nicholson	Ann Nicholson and Kevin Korb are faculty at the School of Computer Science and Software Engineering at Monash University, Australia. They conduct research in Artificial Intelligence and Probabilistic Reasoning, and they teach senior undergraduate and graduate courses on Bayes Nets. They are leading researchers in the field of Bayes nets, and are experienced with Netica. Of particular interest: Bayesian Learning course Reasoning Under Uncertainty course
by Dr. Michael Conroy	In a course titled, "Estimation of Parameters of Fish & Wildlife Populations", Dr. Michael Conroy of the University of Georgia, Warnell School of Forestry Resources and Assistant Unit Leader of the Georgia Fish & Wildlife Unit, uses Netica to teach his students how to make natural resources decisions in the face of uncertainty. His website contains several Bayes nets in Netica format free for download, as well as extensive exercises and step-by-step instruction for manipulation of the nets.
Dr. Matthew Hare	Dr. Matthew Hare was an AI researcher with the Swiss Federal Institute of Environmental Science And Technology (EAWAG). He subsequently co-founded Seecon Germany to promote and support the practical application of participatory water management within local- and river basin- scale planning processes. Seecon is currently working on many projects of relevance to Bayesian studies.
Development of risk assessment tools for reintroducing fire and BAER implementation, by US Forest Service	Application to develop decision support tools to address the following critical management questions: What is the sediment risk after a wildfire, given the information typically available to a BAER team (e.g. burn severity maps,topography, geology)? What is the sediment risk associated with a proposed forest health treatment (e.g. prescribed fire, thinning) versus the sedimentrisk associated with taking no action?
Dr. Lawrence B. Holder, Jr.	Lawrence Holder of the Department of Computer Science and Engineering, University of Texas at Arlington, teaches many courses of interest including introductions to machine learning and the use of algorithms.
GNU CLISP	This Common Lisp interface is based on version 2.15 of the Netica C-API. It was developed by the CLISP maintainers and is their sole responsibility. Please contact the CLISP developers with any questions you might have about CLISP or the CLISP-Netica interface.