Follow
Seth Goodman
Seth Goodman
Research Scientist and Data Engineer at AidData, William & Mary
Verified email at wm.edu - Homepage
Title
Cited by
Cited by
Year
Banking on the Belt and Road: Insights from a new global dataset of 13,427 Chinese development projects
A Malik, B Parks, B Russell, JJ Lin, K Walsh, K Solomon, S Zhang, ...
Williamsburg, VA: AidData at William & Mary, 23-36, 2021
1352021
GeoQuery: Integrating HPC systems and public web-based geospatial data tools
S Goodman, A BenYishay, Z Lv, D Runfola
Computers & geosciences 122, 103-112, 2019
134*2019
Geocoding afrobarometer rounds 1-6: Methodology & data quality
A BenYishay, R Rotberg, J Wells, Z Lv, S Goodman, L Kovacevic, ...
AidData. Available online at http://geo. aiddata. org, 2017
1142017
geoBoundaries: A global database of political administrative boundaries
D Runfola, A Anderson, H Baier, M Crittenden, E Dowker, S Fuhrig, ...
PloS one 15 (4), e0231866, 2020
962020
Open Earth observations for sustainable urban development
M Prakash, S Ramage, A Kavvada, S Goodman
Remote sensing 12 (10), 1646, 2020
432020
A primer on geospatial impact evaluation methods, tools, and applications
A BenYishay, D Runfola, R Trichler, C Dolan, S Goodman, B Parks, ...
AidData Working Paper# 44, 2017
262017
Exploring the socioeconomic co-benefits of Global Environment Facility projects in Uganda using a quasi-experimental geospatial interpolation (QGI) approach
D Runfola, G Batra, A Anand, A Way, S Goodman
Sustainability 12 (8), 3225, 2020
142020
A top-down approach to estimating spatially heterogeneous impacts of development aid on vegetative carbon sequestration
D Runfola, A BenYishay, J Tanner, G Buchanan, J Nagol, M Leu, ...
Sustainability 9 (3), 409, 2017
132017
A convolutional neural network approach to predict non‐permissive environments from moderate‐resolution imagery
S Goodman, A BenYishay, D Runfola
Transactions in GIS 25 (2), 674-691, 2021
122021
Assessing the causal impact of Chinese aid on vegetative land cover in Burundi and Rwanda under conditions of spatial imprecision
R Marty, S Goodman, M LeFew, C Dolan, A BenYishay, D Runfola
Development Engineering 4, 100038, 2019
112019
Evaluation of the infrastructure needs program II
A BenYishay, R Trichler, R Dan, S Goodman
AidData, William & Mary, 2018
82018
Belt and Road Reboot: Beijing's Bid to De-risk Its Global Infrastructure Initiative
BC Parks, AA Malik, B Escobar, S Zhang, R Fedorochko, K Solomon, ...
AidData at William & Mary, 2023
72023
geoSIMEX: a generalized approach to modeling spatial imprecision
D Runfola, R Marty, S Goodman, M Lefew, A BenYishay
http://aiddata. org/aiddata-working-paper-series, 2017
52017
Filling in the Gaps: Applications of Deep Learning, Satellite Imagery, and High Performance Computing for the Estimation and Distribution of Geospatial Data
SM Goodman
The College of William and Mary, 2021
42021
Value For Money Analysis of GEF Interventions in Support of Sustainable Forest Management
GEF IEO
Washington, DC, 2019
42019
Irrigation strengthens climate resilience: Long-term evidence from Mali using satellites and surveys
A BenYishay, R Sayers, K Singh, S Goodman, M Walker, S Traore, ...
PNAS Nexus 3 (2), pgae022, 2024
12024
DOES IRRIGATION STRENGTHEN CLIMATE RESILIENCE? 2023 01/2023
A BenYishay, S Goodman, R Sayers, K Singh, M Walker, ...
DEval: Deutsches Evaluierungsinstitut der Entwicklungs-Zusammenarbeit, 2023
2023
Final Report: Evaluation of the On-Farm Water Management Program
A BenYishay, C Glenn, D Runfola, S Goodman, R Trichler
Williamsburg, VA: AidData at William & Mary, 2018
2018
Causal Tree Determination of the Heterogeneous Impacts of International Programs to Mitigate Deforestation
D Runfola, S Goodman, A BenYishay, J Nagol, G Batra, J Tanner, ...
2017
The system can't perform the operation now. Try again later.
Articles 1–19