Congratulations on a fantastic pre-submission. The topic is relevant to the situation we are all going through and there is lots of data to work with. I really like how you focused on a specific aspect within the COVID-19 pandemic. Your model selection is good, and I am sure you will learn a lot trying to implement these. I am really looking forward to seeing what each model will tell us about possible strategies to combat inequalities triggered by COVID-19 going forward.
Your pre-submission is comprehensive, well-researched, and clear. You aced it. Well done!
One general comment: In section 3 say you will be using MM, ABM, and SD to study this problem. Then on section 4 you are brainstorming a preferential attachment model. Is this in addition to the other three or will you replace one? I can anticipate there is lots of Python code you can use off the shelf to model preferential attachment dynamics, here are two:
The preferential attachment code you have under 4.1 there is from Netlogo—it will not run in Jupyter. Again, there is plently of Python code out there that you can copy and reuse. Just google it ;)
WRT your three models:
Markov
It's time to be more specific about what will be the "states" of your MM and the transition probabilities between them. It is not entirely clear from section 3.2 how you will use MM in this case.
ABM
I recommend replacing the ABM for preferential attachment, which is a much better fit for your case study. Alternatively, you could modify Schelling's segregation model and with some minor adjustments it could a nice way to explore your topic.
System Dynamics
Please start by drawing up a casual loop diagram. Think about the stocks, flows, sources, sinks, variables, etc. You could have a single stock—inequality—and a web of interactions around it that increase or decrease the magnitude of that stock. Look at the examples we discussed in class for inspiration. Here is an example:
Hi All,
Congratulations on a fantastic pre-submission. The topic is relevant to the situation we are all going through and there is lots of data to work with. I really like how you focused on a specific aspect within the COVID-19 pandemic. Your model selection is good, and I am sure you will learn a lot trying to implement these. I am really looking forward to seeing what each model will tell us about possible strategies to combat inequalities triggered by COVID-19 going forward.
Your pre-submission is comprehensive, well-researched, and clear. You aced it. Well done!
One general comment: In section 3 say you will be using MM, ABM, and SD to study this problem. Then on section 4 you are brainstorming a preferential attachment model. Is this in addition to the other three or will you replace one? I can anticipate there is lots of Python code you can use off the shelf to model preferential attachment dynamics, here are two:
The preferential attachment code you have under 4.1 there is from Netlogo—it will not run in Jupyter. Again, there is plently of Python code out there that you can copy and reuse. Just google it ;)
WRT your three models:
Markov It's time to be more specific about what will be the "states" of your MM and the transition probabilities between them. It is not entirely clear from section 3.2 how you will use MM in this case.
ABM I recommend replacing the ABM for preferential attachment, which is a much better fit for your case study. Alternatively, you could modify Schelling's segregation model and with some minor adjustments it could a nice way to explore your topic.
System Dynamics Please start by drawing up a casual loop diagram. Think about the stocks, flows, sources, sinks, variables, etc. You could have a single stock—inequality—and a web of interactions around it that increase or decrease the magnitude of that stock. Look at the examples we discussed in class for inspiration. Here is an example:
Hope this helps and happy to discuss
Juan
@Amberrizvi