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Number of items: 11
Date joined: Mar 10 2017

Insta Innovación, S.C.'s Work

#1

The snake poaching problem vs snake charmers.

Systems thinking metaphors for illuminating fundamental policy dilemmas. (adapted from Khalid Saeed ... Read more
Systems thinking metaphors for illuminating fundamental policy dilemmas. (adapted from Khalid Saeed 2016)
sim27 runs
Snake poaching snake charmers system dynamics
#2

The sustainablility of bengal tiger population in Bangladesh

The sustainablility of bengal tiger population in Bangladesh. (Human-wildlife interactions, Policy d ... Read more
The sustainablility of bengal tiger population in Bangladesh. (Human-wildlife interactions, Policy design)
sim68 runs
Bengals tiger Bangladesh System dynamics Sustainable
#3

China (Mao Zedong policy design 1958)

China (Mao Zedong policy design 1958) Making blind decisions, ending sparrows, cost the lives of mi ... Read more
China (Mao Zedong policy design 1958) Making blind decisions, ending sparrows, cost the lives of millions of people. In 1958 the Chinese leader Mao Zedong, decided to exterminate the sparrows, declaring a war without quarter, against the plagues that eat our grain, mobilized the whole country and in four years, achieved its goal, in large areas of China, the sparrows became extinct, but was their plan successful? Did the crops improve? see the results of the simulation model.
sim126 runs
China policy design Mao Zedong System Dynamics
#4

Modeling and simulating the socio-ecological system of the rivers of South Korea.

This time we started with a powerful hypothesis developed by a group of researchers from South Korea ... Read more
This time we started with a powerful hypothesis developed by a group of researchers from South Korea, to intervene an ecosystem of complex rivers in their country, on which depends the sustainable development of their community, in this hypothesis the behavior of four sectors is related. Connect the algae growth regulation service, with the care of the environment, the health of the ecosystem, the wetlands and the sandy areas, the population dynamics of the fish, the fish production, the animals and the vegetation that develops in that ecosystem, which also favors. the spiritual and cultural development of the people, its amusement parks for visitors, and the improvement of the aesthetic value of the area, and the dredging and maintenance of its rivers, and better manages the maintenance and construction of dams, the management of the floods and the level of groundwater in terms of balance and redundancy, water management for water for human consumption, water for industrial development and the use of resources. Fertilizers for their watermelon, garlic and onion crops, such as You can see, a powerful and complex history of the real world, perhaps they can also be seen as a national security problem, for which social science will have to be applied for the development of policies. that shed light on the path of long-term sustainability.
sim251 runs
system dynamics Rivers ecosystem environment socio-ecological system and public policy.
#5

Learning lab for the management of invasive species, using Stella Architect.

Northeastern Mexico is a semi-desert area, with streams, rivers and small water dams, make possible ... Read more
Northeastern Mexico is a semi-desert area, with streams, rivers and small water dams, make possible a biological diversity of species whose population dynamics rarely appears in balance, fishing, hunting, carelessness in changing species from their habitat and the little human conscience to take care and maintain the ecological balance, puts at risk the long-term sustainability of these resources, the deterioration of these true oasis, are leading to the extermination of such species, a reason why becomes necessary to develop a learning laboratory to discover new policies that help make decisions to help our unique environment. That is why we have written this learning lab using Stella Architect to apply creative innovation for learning sustainability in education.
sim67 runs
system dynamics herons bullfrogs trouts newts
#6

Learning lab for the plastic industry

Learning laboratory to learn how to best manage the recycling of the plastics industry.
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Recycling of plastic System Dynamic Sustainable Healthy environment
#7

Chinese dynasties learning lab II

This paper models an economy of farmers, bandits and soldiers. In addition to the economic factors a ... Read more
This paper models an economy of farmers, bandits and soldiers. In addition to the economic factors affecting the economy studied by Saeed and Pavlov (2008), and the effects of two psychological factors broadly categorized as exposure to violence and group identity studied by (Saeed, Pavlov, Skorinko, Smith†), we have added to the model, the ability to review the impact of the phenomenon of collusion between soldiers and bandits, and the effects in the policies of population dynamics and policies related to changing the parameters representing the productivities and behavioral scaling factors in the economy, which has often been observed both in history and in some developing countries, and we have adding control checks for limiting collusion. We have also developed a storytelling to explain step by step, how the model was created and enriched, also we have developed an interactive presentation of the history, in iBook format for iPad and Mac, and we have created Chinese Dynasties learning lab II, that can be accessed from the web, allowing users to run the simulation easily, especially to review the impact of their decisions and to avoid as far as possible, the unintended consequences of any change, before they can be implemented in real level.
sim217 runs
system dynamics political economy human behavior iPad collusion
#8

People Express Game

People Express was a small airline that wanted to grow its market and become a major player in the c ... Read more
People Express was a small airline that wanted to grow its market and become a major player in the competitive domestic market. They reasoned that by dropping their prices significantly below those of their larger competitors, they could build a new market for themselves amongst those who never or rarely fly. They also expected their lower prices to attract a fraction of their competitors’ customers. (Saeed 2015) This model describes a serious game developed with the objective of highlighting the importance of latent limiting mechanisms that a production or service organization might run into even when it has diligently upgraded its explicit capacity portfolios. The game is based on a stylized model of People Express airline growth and collapse behavior. (Saeed 2015)
sim50 runs
serious games system dynamics learning service organizations
#9

Yellowstone wolves

Yellowstone wolves that fantastic story, we examine the dynamics of a keystone species like wolves i ... Read more
Yellowstone wolves that fantastic story, we examine the dynamics of a keystone species like wolves in the Yellowstone, as the wolf population dwindled (1900) and eventually disappeared (1929), the moose and elk population increased, this continued over foraging caused the tree densities of Willows and Aspens around rivers and waterways diminished. However, several other things began to happen as well, the drop in tree density per habitat unit began to change the environment for other animals: Birds, scavengers & beaver populations within the park decreased, with no food source or material to build their dams, the absence of remains, nesting locations provided by trees were now scarce, they began to migrate out of the area to find better hábitats, finally the overall health of the rivers & ecosystem also began to decline. In 1995, almost 65 years after the last wolf was killed, a small population was reintroduced to Yellowstone, over the next 10 years, a dramatic change took place in Yellowstone, before long the balance of the ecosystem is restored completely.
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system dynamics Yellowstone wolves ecosystem environment
#10

Mammoth Game

Mammoth game & Some of our models
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System dynamics models social science ecosystem
#11

Market Growth

Marketing is not an activity limited to one corporate subdivision. Marketing interacts with research ... Read more
Marketing is not an activity limited to one corporate subdivision. Marketing interacts with research to guide product design. Marketing interacts with price policy to determine profitability. Marketing interacts with production to determine product availability and quality. Marketing interacts with personnel policy and training to deter- mine skill in the marketing activities. Marketing interacts with the corporate informa- tion system in determining how market information guides resource allocation within the company. The relationship of marketing policy to the market, to the other corporate functions, and to competition is particularly intimate. There are many interacting feed- back loops. These loops are capable of producing product growth or stagnation and decline. How the loops are balanced determines product profitability.
sim92 runs
Business Economics Education Market growth marrketing
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Sim App (Sim)

An interface that allows users to interact with a model.

Image of a sim

Sim apps allow users to interact with a model using buttons, sliders, knobs, tables, graphs, and storytelling. These interactions help users understand how parts of a system interact.

Interfaces are created by model authors in the Stella desktop software and can be uploaded to the isee Exchange™.

Model

A diagram that represents how elements in a system influence one another.

Image of a model

Models are mathematical representations of how elements in a system are connected and interact (e.g., ecosystems, organizations, supply chains). When running models on the isee Exchange™, results can be viewed in output devices like graphs and tables.

Models appear in the isee Exchange™ directory when authors upload them from the Stella® desktop software or create them with Stella Online™.

Causal Loop Diagram (CLD)

A map that represents the feedback structure of a system.

Image of a CLD

CLDs are high-level maps that represents the feedback structure of a system and easily communicate the essence of a model. They appear in the isee Exchange™ when authors upload them from the Stella desktop software or create them with Stella Online™.