We use a variety of well-tested and novel approaches to understanding how to balance economic, social and environmental objectives. From cost-benefit analysis to machine learning, CEOS members use and advance methods to model complex social-environmental systems, estimate impact of interventions and design optimal policy solutions to enable us to build a more sustainable society.
Research Output
| Title | Publication | Authors | Year Published | Category | Method | Status |
|---|---|---|---|---|---|---|
| Can insurance alter poverty dynamics and reduce the cost of social protection in developing countries? | Journal of Risk and Insurance | Janzen, S. A., Carter, M. R., & Ikegami, M. | 2020 | SC | (SM) System Modeling | |
| Poverty traps and the social protection paradox | The Economics of Poverty Traps (book) | Ikegami, M., Carter, M. R., & Barrett, C. B. | 2019 | SC | (SM) System Modeling | |
| Social protection in the face of climate change: Targeting principles and transfer mechanisms | Environment and Development Economics | Carter, M. R. | 2018 | SC | (SM) System Modeling | |
| Can insurance help manage climate risk and food insecurity? Evidence from the pastoral regions of East Africa | Climate Smart Agriculture - Building Resilience to Climate Change | Carter, M. R., A., & Stoeffler, Q. | 2018 | SC | (SM) System Modeling | |
| The importance of animal source foods for nutrient sufficiency in the developing world: The Zambia scenario | Food and Nutrition Bulletin | Zhang, Z., Goldsmith, P. D., & Winter-Nelson, A. | 2016 | SC | (PD) Policy Design, (SM) System Modeling | |
| The economics of post-harvest loss: A case study of the new large soybean-maize producers in tropical Brazil | Food Security | Goldsmith, P.D., Martins, A.G., & Moura, A.D. | 2015 | SC | (SM) System Modeling |