Mitigation Models

These models and simulations have been tagged “Mitigation”.

Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention    The cost ranges from ne
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention

The cost ranges from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.
In this simple model, cost can be interpreted here in a broad sense, as difficulty, which relates no only to monetary cost but also to things like current skill level of the farmer, for example.

A new loop is added to represent the likelihood of an adopted finding a potential adopter. This loop has very little effect on the evolution of Adopters. Why?
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention    The cost ranges from ne
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention

The cost ranges from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.
In this simple model, cost can be interpreted here in a broad sense, as difficulty, which relates no only to monetary cost but also to things like current skill level of the farmer, for example.

A new loop is added to represent the likelihood of an adopted finding a potential adopter. This loop has very little effect on the evolution of Adopters. Why?
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention    The cost ranges from ne
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention

The cost ranges from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.
In this simple model, cost can be interpreted here in a broad sense, as difficulty, which relates no only to monetary cost but also to things like current skill level of the farmer, for example.

A new loop is added to represent the likelihood of an adopted finding a potential adopter. This loop has very little effect on the evolution of Adopters. Why?
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. The cost range from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.     In this simple m
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. The cost range from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.
In this simple model, cost can be interpreted here in an ample sense, as difficulty, which relates no only to monetary cost but also to things like current skill level of the farmer, for example.
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention    The cost ranges from ne
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention

The cost ranges from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.
In this simple model, cost can be interpreted here in a broad sense, as difficulty, which relates no only to monetary cost but also to things like current skill level of the farmer, for example.

A new loop is added to represent the likelihood of an adopted finding a potential adopter. This loop has very little effect on the evolution of Adopters. Why?
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. The cost range from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.     In this simple m
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. The cost range from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.
In this simple model, cost can be interpreted here in an ample sense, as difficulty, which relates no only to monetary cost but also to things like current skill level of the farmer, for example.
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. The cost range from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.     In this simple m
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. The cost range from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.
In this simple model, cost can be interpreted here in an ample sense, as difficulty, which relates no only to monetary cost but also to things like current skill level of the farmer, for example.