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We present a variety of issues in modern economics where applied mathematics is needed. These include economic equilibrium prob- lem where Oxed point theory for Markov operators, and for ordered sets is needed; the emergent Oeld of behavioral economics (Nobel Memorial Prize in Economics 2017) where more mathematical research is needed, for ex- ample, to capture cognitive decision-making, a§ecting economic data, and hence econometric modeling processes. We will focus on a promising venue, namely, quantum probability as a measure of uncertainty, since, unlike Kol- mogorov probability, quantum probability, borrowed from quantum physics, is non-additive and non-commutative, thus avoiding Ellsbergis paradox (of von Neumannis expected utility) and capturing order e§ects of human judge- ments, respectively. Evoking the development of the framework of quantum probability as behavioral probability, as well as a quantum stochastic calculus for, say, Onancial econometrics, we will discuss various important mathemati
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