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Traffic Unit for StarLogo Nova

Posted April 28, 2017 by sgibbs

This unit engages students in the use of agent-based modeling to look into why we have traffic jams and test ideas to try to improve traffic flow, and demonstrates the use of simulation to solve difficult engineering problems. Specifically we focus on the problem of traffic bottleneck congestion. A secondary goal is to further students’ understanding of the network concept as a way to model real world flows of data and matter.

Simulación de un brote de Dengue

Posted March 29, 2017 by Rizzi

Este modelo simula la transmisión del virus del dengue en un barrio de cuatro manzanas durante 180 días. El vector del virus es el mosquito Aedes egyptii. La simulación muestra un gráfico con la evolución del brote (el cambio en la cantidad de personas sanas y de personas infectadas), otro gráfico con la evolución de la población de mosquitos y unos monitores que indican el estado de la población de mosquitos y cuántas personas fueron infectadas.

Prisoner's Dilemma (Tit for Tat)

Posted March 30, 2017 by turtle

A participatory simulation where partners examine strategies of cooperation versus individual gain. Based on the game theory activity of Prisoner's Dilemma, this activity introduces students to the contrast between theories of "Tragedy of the Commons" (individuals maximizing their own gain will result in collapse of the resources) and classic economic theory (maximum individual gain will lead to greatest efficiency).

What are the chances?

Posted March 30, 2017 by turtle

An off-line activity to introduce students to concepts of randomness and how to program percent chance using a slider in StarLogo Nova.

Toss-Up

Posted March 30, 2017 by turtle

As a virus spreads through a community, epidemiologists might study how far a disease has spread, how quickly it spreads and how infectious it can be as well a numerous other pieces of data in order to understand the disease and its potential impact on a community. In this activity, students will simulate the spread of a virus such as the flu. Students will work in pairs to accumulate data using graph paper, a data chart, and a die. Before starting, groups will need to decide on three variables.

Segregation Model

Posted April 3, 2017 by turtle

This model shows how a small preference for looking like one's neighbors can lead to a segregated society. The unit so far includes the model as a mystery model to be discussed and decoded by students, a partial piece of code with to use for decoding practice, a finished model, some background information, and a link to an on-line resource demonstrating these concepts. We are developing an off-line activity and other curriculum for this module -- stay tuned!

Daisy world

Posted April 3, 2017 by turtle

A model demonstrating the albedo effect of black or white surfaces. Use as a part of the Climate Change and Agriculture Project GUTS Curricular Unit, or as a stand-alone model, activity, and video.

Scavenger Hunt for Teachers

Posted April 3, 2017 by turtle

This scavenger hunt asks teachers to locate various Project GUTS resources. A fun tool to increase familiarity with Project GUTS and what's available.

Littering Unit

Posted April 29, 2017 by sgibbs

Littering is a type of non-point source pollution caused
 by humans acting independently from each other, however causing a global environmental problem. Controlling this source of pollution is hard to manage despite numerous interventions. Pollution of groundwater, rivers, oceans result from these everyday littering behavior whether intentional or accidental. In this unit we will model a simple form of littering and then ways to reduce it in our community.

Emergency Egress

Posted May 8, 2017 by turtle

Emergency Egress is the study of people exiting a building or other social gathering space in an emergency situation. This unit explores models and other ways to analyze the safety of a building and to evaluate which elements may affect how quickly and safely a space may be evacuated. It also discusses the issues of modeling humans in emergency situations.

Shared Resources - Economics

Posted May 10, 2017 by turtle

As the human population grows, it has become increasingly important to understand how humans are impacting the environment and how resources are managed and used. Often, this type of understanding falls under the topic of Sustainability in which the needs of the present population are met without compromising the needs of future generations. In this unit, we look at a variety of resources, through the lens of complex adaptive systems, especially studying feedback and interdependence.

Guía de estudiantes para la actividad "Dados y datos" (Dice & Data)

Posted May 16, 2017 by Rizzi

Esta es la hoja de actividad para los estudiantes para "Dados y datos", una actividad de probabilidad. La probabilidad juega un rol importante en los modelos de sistemas complejos adaptativos. En esta actividad se programan agentes para imitar el movimiento de criaturas en el mundo real. También eventos aleatorios que ocurren cuando los agentes interactúen como por ejemplo contagiar una persona a otra.

Papeles en el viento ("Papercatchers")

Posted May 17, 2017 by Rizzi

"Papeles en el viento" (Papercatchers) es una simulación participativa en la que los estudiantes aprenden sobre el crecimiento de la población y los límites al crecimiento. Los estudiantes desempeñan el papel de miembros de una población creciente, siguen reglas sencillas que rigen la supervivencia y la reproducción, y recopilan y grafican datos.

¿Complejo o complicado?

Posted May 17, 2017 by Rizzi

¿Complejo o Complicado? utiliza una presentación de diapositivas para crear una actividad que se utiliza para involucrar a los estudiantes en argumentar basándose en evidencias y mejorar su comprensión sobre los sistemas adaptativos complejos.

Computational Science video

Posted June 2, 2017 by sgibbs

A short video (1:27) on the computational science cycle, used in Project GUTS CS in Science (Modules 2-4).

Dengue outbreak simulation

Posted March 29, 2017 by Rizzi

This model simulates the transmission of the dengue virus in a neighborhood of four blocks during 180 (one hundred and eighty) days. The vector of the virus is the mosquito Aedes egyptii. The simulation shows a chart of the evolution of the outbreak (the change in the number of healthy people and infected people), another graph with the evolution of the mosquito population and some monitors that indicate the state of the mosquito population and how many people were infected.

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