March 30, 2015

Mark Your Calendar for the GoldSim User Conference in September 2015!

Posted by Rick Kossik

We recently published this in our newsletter, but I thought it would be worthwhile to post here also. After a long hiatus, we plan to host a GoldSim User Conference in Seattle in September 2015.  The conference is just in the planning stages now, but the dates are very likely to be September 24 and 25.  The conference will be preceded (on September 22 and 23) by a two day training workshop (focusing on novice users).

March 20, 2015

GoldSim Applications at (Radioactive) Waste Management Conference

Posted by Rick Kossik

I've just returned from the Waste Management (WM) Conference in Phoenix, which we attend annually.  This conference attracts thousands of registrants from around the world and is widely regarded as the premier international conference for the management of radioactive material and related topics. As many of you know, although GoldSim is currently used in a wide variety of applications, it was originally developed to support radioactive waste management applications (if you are curious, I discussed this early history in a previous blog post). GoldSim continues to be used extensively worldwide for such applications, and typically during the conference a number of technical papers featuring GoldSim are presented. It is always rewarding and exciting to sit in a technical session at a conference and see how GoldSim has been applied to address an interesting and important problem.  A few such applications discussed at the conference are briefly summarized in this post.

March 9, 2015

Exploratory Modeling and GoldSim

Posted by Nick Martin

There is an interesting recent journal article, “Exploratory Modeling: Extracting Causality From Complexity” (Larsen et al. 2014), which describes the usefulness and success of exploratory modeling in the earth sciences. Although this article does not mention GoldSim, it provides a nice explanation of modeling philosophies which work well in GoldSim. These philosophies emphasize a “top-down” approach to modeling complex systems and focus on the representation of uncertainty in addressing “big-picture” issues.