Tree Donation for Climate

Interactive game-like 2D/3D UI demonstration
Type: front end demonstrator, qualitative model
More Details >>

Benefits of book marketing

UI demonstration of agent-based model.


Type: front end demonstrator, qualitative model
More Details >>

Carbon Tax

UI demonstration of moving-bars 3D paradigml.


Type: Fully functional qualitative model
More Details >>

Simulating the effects of aid provided to a justice system

UI demonstration of agent-based model.


Type: front end demonstrator, qualitative model
More Details >>

More model information

Simulating the effects of aid provided to the Liberian justice system

A foundation wishes to grant financial aid to the country of Liberia to improve the justice system.  How big should the aid package be, and how should the funds be allocated between:

  • legal infrastructure,

  • police, and

  • development of community paralegal services?

The model has extensive feedback loops which are shown on the model page  (shown at left), and which guide the evolution of the objective (Economic health, measured by GDP) in each of the nation’s counties.

To run the model:

  1. Set the Total Funding slider (try 70)
  2. Set the Percentage for Policing slider (try 20)
  3. Set the Percentage for Legal Infrastructure slider (try 15)
  4. Set the Percentage for Community-based Justice slider (try 70)

Click Start Simulation and watch how the country’s economy fares with the aid parameters you selected relative to the baseline model (no aid).

You can reset the model and compare different scenarios.

How to invest in clean emissions equipment when subject to carbon tax?

This user interfacexxx demonstration shows how you can integrate a decision on the left hand side with outcomes shown on the right as well as dynamically generated in the 3 D diagram. Move the levers in the upper left to experiment with the model.
Type: front end demonstrator, qualitative model

How much to donate for trees?

This user interfacexxx demonstration shows how you can integrate a decision on the left hand side with outcomes shown on the right as well as dynamically generated in the 3 D diagram. Move the levers in the upper left to experiment with the model.
Type: front end demonstrator, qualitative model

Agent-based model simulating influence of marketing and network effects on purchasing behavior

This is an agent-based simulation, which means that it shows a population of simulated people and their changing and interacting behavior

 This demonstration projects how marketing activities and network recommender effects change the purchasing characteristics of a population.  In the model, the purchasing cycle is represented by 3 stages:

  • Impression (does the potential buyer becomes aware of the product?)

  • Evaluation (does the potential buyer like the product?)

  • Purchase (does the potential buyer purchase the product?))

The initial population is modeled as 4 segments:

  • Resistant: biased against purchasing the product

  • Receptive: Neutral towards to product and open to persuasion

  •  Sympathetic: biased towards the product

  • Active: Already aware of the product and positively disposed to purchasing it.

As the model runs, network recommender effects of those who have purchased feed back to change the purchase propensity of the population who have not yet made a purchasing decision.

Type: front end demonstrator, qualitative model