Research Projects

This project investigates how financial risk can be identified through text analysis of corporate earnings call transcripts. Using Python and SQL, we processed large-scale financial datasets and applied term frequency (TF) and TF-IDF scoring to extract risk-related language. This approach offers a structured, text-based method for detecting early signs of financial risk, providing insights beyond traditional numerical indicators.

This project examines how firearm regulations in the United States influence gender differences in life expectancy and life disparity. Using Python and R, we analyzed mortality data across states to assess the impact of policy variations on health outcomes for men and women. The findings aim to inform public health strategies by revealing how specific policies may contribute to widening or narrowing gender-based health inequalities.

This project focuses on evaluating policy frameworks that support sustainable transitions in food systems. Using qualitative and quantitative methods, we examine the economic and institutional dimensions of agricultural transformation, including land use, input dependency, and policy incentives. The research aims to identify effective strategies for promoting equitable and environmentally sustainable food systems in the context of global and regional challenges.

This project analyzes drug overdose patterns across Ohio using county-level data. We used Python and R to clean and merge overdose and population datasets, examining racial disparities and temporal trends in overdose rates. The analysis helps uncover key factors driving the opioid crisis and supports the development of data-informed public health strategies to reduce overdose-related harms.

Traditional trade theories and/or “Trade-in-Goods” predict that exports can generate 100% value-added, which Trade-in-Tasks theories have recently debated. The root of these debates is referred to the existing conventional macro-economic accounting, which is expressed that expenditure components of final goods, including gross exports (GE), equals total value is consumed in each country. It means that a country’s gross domestic product (GDP) is the sum of its final domestic demand, including GE. Therefore, generating 100% value-added in final domestic demand may hold true, but GE, due to double counting, may not generate 100% value-added for the domestic economy. In addition to that, the domestic value-added (DVA) has an excellent property with vertical specialization (VS) in such a way that the sum of their shares is equal to one and, therefore, can measure the degree of VS in trade. In this article, we take this issue as a starting point and, for the first time, try to analyze it with the following questions: What amount of DVA should be attributed to GE from Iran? What is the relationship between DVA and VS? 

Coronavirus is one of the most important pathogens in humans and animals. In Iran, on February 26, 2020, two patients with Covid-19 were seen and confirmed in Qom, and following the resulting epidemic, the government pursued a policy of intelligent social distancing. In this study, based on the historical trend of a set of preventive intervention strategies, the social distance variable is introduced and defined in the range of zero to one. Then this variable is used in the framework of a VSIRD model using the prevalence data of Covid-19 for Iran. The results of model estimation for Iran indicate that the variable of the degree of social distance plays a very important role in the disease outbreak process so that with increasing degree of social distance, the prevalence slows down and the mortality rate and the number of active patients decrease. It seems that reducing social exclusion cannot be recommended until more than 50% of the population has been vaccinated. Therefore, it can be said that reducing the policy of social distancing at the same time as vaccinating the community should be done with great care because its excessive decline and also maintaining beyond its needs can have difficult consequences. Finally, the results of the scenario show that vaccination reduces the peak of the total number of active patients and also shortens the time required to reduce the number of these patients he does.

This project will be carried out to help the Tehran Chamber of Commerce, Industries, Mines, and Agriculture to provide proposals for amending the basic laws leading to pricing in the country. These proposals will include amendments to the Consumer Protection Act, the Trade Union Act, and the General Policies Act, Article 44. The process of policy interaction to implement these proposals through parliamentary reform plans will also be pursued within the framework of this project.