Omar Isaac Asensio
Biographic Data
| ID | 6928316 |
|---|---|
| NAME | Omar Isaac Asensio |
| GIVEN NAMES | Omar Isaac |
| FAMILY NAME | Asensio |
| SIGNATURE | ASENSIO O I |
| AFFILIATIONS | Georgia Institute of Technology |
| ORCID | 0000-0003-2143-5022 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Housing policies and energy efficiency spillovers in low and moderate income communities
Housing policies address the human dimensions of increasing urban density, but their energy and sustainability implications are hard to measure due to challenges with siloed civic data. This is especially critical when evaluating policies targeting low- and moderate-income (LMI) households. For example, a major challenge to achieving national energy efficiency goals has been participation by LMI households. Standalone energy efficiency policies, …
A field experiment on workplace norms and electric vehicle charging etiquette
Using Machine Learning Techniques to Aid Environmental Policy Analysis
For a growing class of prediction problems, big data and machine learning (ML) analyses can greatly enhance our understanding of the effectiveness of public investments and public policy. However, the outputs of many ML models are often abstract and inaccessible to policy communities or the general public. In this article, we describe a hands-on teaching case that is suitable for use in a graduate or advanced undergraduate public policy, public a…
Real-time data from mobile platforms to evaluate sustainable transportation infrastructure
Nonprice incentives and energy conservation
Significance We investigate the effectiveness of nonprice incentives to motivate conservation behavior. We test whether tailored information about environmental and health damages produces behavior change in the residential electricity sector. In a randomized controlled trial with real-time appliance-level energy metering over 8 mo, we find that environment and health-based information strategies outperform monetary savings information to drive e…
Nonprice incentives and energy conservation
Significance We investigate the effectiveness of nonprice incentives to motivate conservation behavior. We test whether tailored information about environmental and health damages produces behavior change in the residential electricity sector. In a randomized controlled trial with real-time appliance-level energy metering over 8 mo, we find that environment and health-based information strategies outperform monetary savings information to drive e…
Using Machine Learning Techniques to Aid Environmental Policy Analysis
For a growing class of prediction problems, big data and machine learning (ML) analyses can greatly enhance our understanding of the effectiveness of public investments and public policy. However, the outputs of many ML models are often abstract and inaccessible to policy communities or the general public. In this article, we describe a hands-on teaching case that is suitable for use in a graduate or advanced undergraduate public policy, public a…
Real-time data from mobile platforms to evaluate sustainable transportation infrastructure
A field experiment on workplace norms and electric vehicle charging etiquette
Housing policies and energy efficiency spillovers in low and moderate income communities
Housing policies address the human dimensions of increasing urban density, but their energy and sustainability implications are hard to measure due to challenges with siloed civic data. This is especially critical when evaluating policies targeting low- and moderate-income (LMI) households. For example, a major challenge to achieving national energy efficiency goals has been participation by LMI households. Standalone energy efficiency policies, …
Business (4 works) · Economics (4 works) · Environmental economics (4 works) · Computer Science (3 works) · Energy, Environment, and Transportation Policies (3 works) · Engineering (3 works) · Big data (2 works) · Data mining (2 works) · Electric vehicle (2 works) · Electric Vehicles and Infrastructure (2 works)