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Decode NYC Models

Posted January 13, 2021 by wellina

In the NSF-funded DecodeNYC program at the American Museum of Natural History, middle school students use the agent-based game and simulation programming environment StarLogo Nova to use, modify, decode, and create scientific models to test different strategies for fighting Lyme disease and answer questions about their urban ecosystem.

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).

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.

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.

Introducción al modelado del clima

Posted May 16, 2017 by Rizzi

Documento base como introducción al modelado del clima. Habla sobre el sistema climático global como un sistema dinámico complejo; la diferencia entre tiempo y clima; los ciclos de retroalimentación en el sistema climático global, etc.
Fue extraído de “Mathematics of Climate Change: A new discipline for an uncertain century” una publicación del Instituto de Investigación en Ciencias Matemáticas. Berkeley, CA 2007 y traducido al español.

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).

Interview with Hal Scheintaub

Posted August 2, 2017 by ilee

Teachers with GUTS interviewed Hal Scheintaub and demo of StarLogo Nova models created by his students on August 2, 2017.

The Greenhouse Effect

Posted July 27, 2018 by sgibbs

A short video on the basics of the greenhouse effect, used in CS in Science, Module 2 (Greenhouse gas model).

Papercatchers

Posted July 27, 2018 by turtle

Papercatchers is a participatory simulation in which students learn about population growth and limits to growth. Students play the role of members of a growing population, follow simple rules governing survival and reproduction, and collect and graph data.

What's Represented?

Posted June 12, 2019 by ilee

These exercises ask the learner to identify abstractions in the computer model as compared to a diagram or image of a natural phenomenon.

COVID-19 Modelling Challenge

Posted March 18, 2020 by wellina

Learn basic StarLogo Nova skills then use those skills to customize your model to reflect how Coronavirus spreads. To that model, you can add different strategies and study the impact of the strategies on containing COVID-19’s spread.

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.

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