I would like to thank Wayne Wakeland and his colleagues in the systems science program at Portland State University for the chance to present at their noon systems science and complexity seminar.
I presented on a new avenue of methods development that my colleague Corey Schimpf (Department of Engineering Education, University at Buffalo) first identified, which he and I are calling smart and approachable methods or AM-Smart for short.
My presentation was a quick summary of a paper on the topic we have in review and its application to policy evaluation. In particular, I focused on our computational modelling software, COMPLEX-IT.
HERE IS A QUICK SUMMARY OF MY PRESENTATION
- Here is the LINK to the PowerPoint of my presentation.
- Here is the LINK to a video of my presentation.
COMPLEX-IT, a computational modelling environment for case-based modelling and policy evaluation for non-experts.
SOMbrero for artificial intelligence
PRSM for participatory systems mapping
SAGEMODELER for learning systems dynamics through designing models
FactoShiny for statistical analysis and visualization
Occam, a Discrete Multivariate Modeling (DMM) tool based on the methodology of Reconstructability Analysis (RA).
COMPASS for comparative methods software
NetLogo Web for agent-based models
MAIA for designing multiagent models for institutional analysis
Cytoscape for modeling complex networks
Several platforms that meet many of the AM-smart attributes but may be less representative on a few attributes including
IQAir, the world's largest real-time, air-quality information platform, including a suite of tools – IQAir Earth, Map, App and AirVisual
UK CDRC Mapmaker, including indices of multiple deprivation
Gapminder for exploring global trends statistically and visually
Good afternoon, colleagues. You have an error in the "Below are examples of AM-Smart methods" section. Links are incorrect (broken).ReplyDelete