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Aurup Ratan Dhar

Dr. Aurup Ratan Dhar (he/him) is a Post-doctoral Fellow at the Institute on the Environment specializing in Agricultural and Environmental Economics. After completing the bachelor’s and master’s from Bangladesh Agricultural University in Agricultural Economics, he pursued the doctoral degree from Tohoku University in Japan in Environmental and Resource Economics. He also worked as a Post-doctoral Researcher at the Research Institute for Humanity and Nature.

Aurup is interested in integrating interdisciplinary aspects of science to tackle various social, economic, and environmental problems. In the master’s research, he studied on the sustainability of adopting conservation agriculture principles (i.e., zero tillage, diversified crop rotation, and keeping crop residue) in the context of Bangladesh and evaluated their impacts on crop productivity, environmental benefits, and farmers’ livelihood. Later in post-master’s research projects, he examined the economic and environmental impacts of water-saving technologies like ‘alternate wetting and drying’ and ‘system of rice intensification’ on rice cultivation. Aurup also evaluated the sustainability of organic shrimp production in Bangladesh from the standpoint of consuming energy, protecting environment, economic feasibility and social/political equity. His Ph.D. research was focused on the impact analysis of cultural and religious dietary aspects on food-related nitrogen (N) and phosphorus (P) footprints at the Indian Subcontinent. He developed religion-sensitive N-Calculator and P-Calculator approaches in line with the principles of life cycle assessment (LCA), and assessed how N and P footprints in the Indian subcontinent are influenced by the food production and consumption patterns of different religious communities.

At IonE, Aurup is working with Jennifer Schmitt and Nathaniel Springer on Food System Supply-Chain Sustainability (FoodS3) model, collecting life cycle inventory data, analyzing baseline greenhouse gas and water impacts across supply chains, and running scenario analyses.