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 |
|---|---|---|---|---|---|---|
| Private contributions for public information: soil testing in Malawi | SSRN | Berazneva, J., Maertens, A., Mhango, W., & Michelson, H. | 2022 | LW, SC | (FE) Field Experiment | (WP) Working Paper |
| The joint effects of information and financing constraints on technology adoption: Evidence from a field experiment in rural Tanzania | Journal of Development Economics | Harou, A.P., Madajewicz, M., Michelson, H., Palm, C.A., Amuri, N., Magomba, C., Semoka, J.M., Tschirhart, K., & Weil, R. | 2022 | FA, SC | (FE) Field Experiment | (PR) Peer Reviewed |
| The demand for mobility: Evidence from an experiment with Uber riders | IZA Discussion Paper | Christensen, P., & Osman, A. | 2021 | EE, SC | (FE) Field Experiment | |
| Public good provision and democracy: Evidence from an experiment with farmer groups in Malawi | World Development | Nourania, V., Maertens, A., & Michelson, H. | 2021 | FA, SC | (PD) Policy Design, (FE) Field Experiment |