SELECT ACCOLADES, PUBLICATIONS & PRESS
I was really impressed with what the team presented this morning. In fact, I thought that one of the presenters was an SC staff member because they knew their stuff so well (meaning the challenges and opportunities inherent in the different data sets) and was surprised to find out that they were all undergraduate students. - Deputy Director of Global Child Poverty, Save the Children
GeoQuery is an amazing tool. It saved me and my team a huge amount of time and energy wrangling data in several projects. It gives us a huge amount of geospatial data on the unique characteristics of a place and their dynamics overtime. It does all of this in a usable, intuitive form and in a matter of second. This is immensely helpful in many data poor parts of the world, where there isn't any other data to work with. It opens up new opportunities for spatial insight to inform our operations, opportunities we will take full advantage of. - Senior Geographer for the Geospatial Operations Support Team at the World Bank.
The GeoQuery HPC Framework. Goodman,S., BenYishay,A., Runfola,D. https://github.com/itpir/geo-hpc
GeoSIMEX: A R Package for Spatial Uncertainty in AidData. Marty, R., Lefew, M., Goodman, S., Runfola, D. https://github.com/itpir/geoSIMEX
GeoPortal: A free online visualization platform for spatial data. Goodman,S., https://github.com/itpir/geo-portal
Press & Policy
“Here’s how broke college students are helping Nepal recover from disaster.” http://www.washingtonpost.com/news/grade-point/wp/2015/05/07/heres-how-broke-college-students-are-helping-nepal-recover-from-disaster/
World Bank Independent Evaluation Group, “Valuing Environmental Impacts of World Bank Projects: A Case Study of Integrating Value for Money Analysis into Impact Evaluations.”
Global Environment Facility Impact Evaluation Office, "Value for Money Analysis for the Land Degradation Projects of the GEF."
Zhao, J., Kemper, P., Runfola, D., 2017. Quantifying Heterogeneous Causal Treatment Effects in World Bank Development Finance Projects. Data Mining and Knowledge Discovery (ECML PKDD).
Zhao, J., Runfola, D., Kemper, P. 2017. Simulation Study in Quantifying Heterogeneous Causal Effects. WSC Proceedings. Available online at: http://informs-sim.org/wsc17papers/.
Runfola, D., Ariel BenYishay, Jeffery Tanner, Graeme Buchanan, Jyoteshwar Nagol, Matthias Leu, Seth Goodman, Rachel Trichler and Robert Marty. 2017. A Top-Down Approach to Estimating Spatially Heterogeneous Impacts of Development Aid on Vegetative Carbon Sequestration. Sustainability 9(3), 409. doi:10.3390/su9030409. http://www.mdpi.com/2071-1050/9/3/409 .
Marty, R., Dolan, C., Leu, M., Runfola, D. 2017. Taking the Health Aid Debate to the Sub-National Level: The Impact and Allocation of Foreign Health Aid in Malawi. BMJ Global Health.
Runfola, D.M., Napier, A., 2016. “Migration, climate, and international aid: examining evidence of satellite, aid, and micro-census data.” Migration and Development.