How can I effectively learn mathematical modeling for social science research?

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To effectively learn mathematical modeling for social science research, a solid understanding of linear algebra, stochastic processes, statistics, differential equations, and numerical analysis is essential. These mathematical foundations enable the tackling of various modeling problems. Additionally, recognizing the different approaches taken by econometricians, social scientists, and physicists can enhance the learning process. Before diving into textbooks, it's beneficial to familiarize oneself with these concepts. Engaging with relevant tutorials and resources can further support this learning journey.
bitttttor
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Hi All,
Just wanted to know, what is a good way to learn mathematical modeling?
I'm a social scientist working with simulation and data, and would like approach the issue more formally.
Before trying modeling textbooks, what should I know beyond calculus?
Any suggestions (books, tutorials, etc) are welcomed

Cheers
 
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It depends on what you are doing. Linear algebra, stochastic processes, statistics, differential equations, and numerical analysis are common maths associated with constructing models. Having a good grasp of this stuff would let you tackle a great number of problems. But after that there is something of a cultural difference in how an econometrician, social scientist, or physicist usually approach a problem.
 
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