We hope that the provided algorithms and source code will be a starting point for modelers to develop their own GPU implementations, and encourage others to implement their modeling methods on the GPU and to make that code available to the wider community.
However, the several characteristics of CIs, such as interdependence, adaptability, dependability, etc., can disturb modelers' activities to develop the quality models for CIs.
Modelers and policymakers must continue to work toward finding effective ways to evaluate and judge the quality of their models, and to develop appropriate terminology to communicate these judgments to the public whose health and safety may be at stake.
Gaining clarity about the data needed to calibrate risk factor models is an important first step toward collaborations between modelers and clinician researchers to develop data-driven risk factor models.
Currently a group of European modelers has been called by the task force to work together in a network to develop models for EU purposes.
Empirical field data on transgene flow are critical for modelers and decision makers who wish to develop containment strategies [1].
This approach allows modelers to begin with simpler sequential execution and then scale up to concurrent or parallel execution as they continue to develop their models.
To address this need to develop a model in synergy with its parameterizations, we created a new version of the JigCell Run Manager tool [ 4] that allows modelers to organize, maintain, simulate, plot, and export hierarchical parameterizations of biochemical models.
This paper presents an example of how policymakers, energy system modelers and stakeholders interact and work together to develop and evaluate long-term state climate policy targets.
In the process of running IAMs to develop useful information for policy makers, IA modelers usually make a distinction between use of IAMs as 'truth machines' or 'forecasting tools' and 'heuristic tools'--favouring the latter view.
