DRK12 Agent Based Model
PI Michael Strong, UCSC (ret)
Exploratory Grant 2012-4
“The Agent-Based Simulation Environment (ABSE) collaboration is an exploratory project designed to create a powerful set of agent-based modeling and visualization tools to examine the precursors for math success at 8th grade and beyond” From the DRK12 Grant proposal.
NSF DRK12 Team & Program Officer
I amNSF DRK 12 “Agent Based Modeling”
What is Agent Based Modeling?
An agent-based model (ABM) is one of a class of computational models for simulating the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) with a view to assessing their effects on the system as a whole.
History NSF Agent Based Modeling Grant
NLET founding board members Marcy Lauck and Bill Erelendson and NLET founder Gordon Freedman believed that the rich data set and longitudinal data warehouse that Lauck and Erlendson operated at the San Jose Unified School District (CA) could be the basis for tracking students flowing through time, progressing in their schools, as the basis for an agent-based model examining the precursor factors contributing to 8th grade math success.
NLET formed the team of Michael Strong, PhD, UC Santa Cruz as Principal Investigator (PI), Paul Resta, PhD, UT Austin, as Co-PI, and Joanne Wendellberger, PhD, Los Alamos National Laboratory as Co-PI.