Projects
Our strategy of problem solving is based on the scientific approach in social science refined and augmented with logical approach of mathematics and computational simulation methods. We are socialized in advanced branches of mathematics such as Game Theory, Operation Research, Dynamical Systems, Statistical Analysis, Computational Sociology and various models of modeling/simulation such as Agent Based Modeling.
we explore the impact of socio-economic variables on the trends of substance abuse in the context of Iran. Time series data is used for the period 2004 to 2014. The empirical findings confirm that from 2004 to 2014, excepts the death and the Aids rate, all of the Addiction Severity indicators in Iran has increased. There is a negative relationship between social development, public awareness and the declining rates of Aids and Mortality.
In the form of a teamwork with an interdisciplinary approach, after the review of the most important global experiences of policy-making and internal capacities of confront against drugs, we have simulated the future processes of the supply, distribution and demand based on prevention, treatment and harm reduction of drugs in Tehran using an agent-based computational modeling.
Sep 2017 – Nov 2018
using the Iranian Population and Housing Census, and the agent-based modeling we will predict the future of informal settlements and detect sources and destinations of people living in them. Using the model we will study the impact of different regional policies on the formation of slums.
Mar 2018 – Oct 2020
we provide a mathematical model to predict regional inequality in the context of Iran. Using programming we will test multiple scenarios to find the optimum Budget Allocation plan which minimizes the Theil index while prevents the Gdp reduction. The relationship between the Budget and the Gdp has been calculated by using logistics regression. Indeed, we build a linear model that estimates Gdp of a given region by using data series of the intermediate consumption and the Gdp from past years, and then we predict the amount of Gdp growth for given intermediate consumption. Finally, we will find the optimum Budget Allocation plan.
Mar 2018 – Jun 2019
In this project, using the Iranian Population and Housing Census, and the agent-based modeling we will predict the future of informal settlements and detect sources and destinations of people living in them. Using the model we will study the impact of different regional policies on the formation of slums.