Luis F Rodríguez
Biographic Data
| ID | 6569337 |
|---|---|
| NAME | Luis F Rodríguez |
| GIVEN NAMES | Luis F |
| FAMILY NAME | Rodríguez |
| SIGNATURE | RODRÍGUEZ L F |
| AFFILIATIONS | University of Illinois Urbana-Champaign |
| ORCID | 0000-0002-2066-4205 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
A narrative review of food, energy, and water systems for disaster resilient communities in Puerto Rico
Frequent and intense natural disasters like hurricanes and earthquakes in Puerto Rico contribute to unreliable access to food, energy, and water (FEW) resources. Pre-existing political, socioeconomic, and environmental constraints in the archipelago can further complicate access to FEW resources. Bolstering FEW resource security by localizing resource production through household or community-scale projects improves community resilience to natura…
Enacting boundaries or building bridges? Language and engagement in food-energy-water systems science
Scientific study of issues at the nexus of food–energy–water systems (FEWS) requires grappling with multifaceted, “wicked” problems. FEWS involve interactions occurring directly and indirectly across complex and overlapping spatial and temporal scales; they are also imbued with diverse and sometimes conflicting meanings for the human and more-than-human beings that live within them. In this paper, we consider the role of language in the dynamics …
Compound[ing] disasters in Puerto Rico
DeepCropNet
Large-scale crop yield estimation is critical for understanding the dynamics of global food security. Understanding and quantifying the temporal cumulative effect of crop growth and spatial variances across different regions remains challenging for large-scale crop yield estimation. In this study, a deep spatial-temporal learning framework, named DeepCropNet (DCN), has been developed to hierarchically capture the features for county-level corn yi…
DeepCropNet
Large-scale crop yield estimation is critical for understanding the dynamics of global food security. Understanding and quantifying the temporal cumulative effect of crop growth and spatial variances across different regions remains challenging for large-scale crop yield estimation. In this study, a deep spatial-temporal learning framework, named DeepCropNet (DCN), has been developed to hierarchically capture the features for county-level corn yi…
Enacting boundaries or building bridges? Language and engagement in food-energy-water systems science
Scientific study of issues at the nexus of food–energy–water systems (FEWS) requires grappling with multifaceted, “wicked” problems. FEWS involve interactions occurring directly and indirectly across complex and overlapping spatial and temporal scales; they are also imbued with diverse and sometimes conflicting meanings for the human and more-than-human beings that live within them. In this paper, we consider the role of language in the dynamics …
Compound[ing] disasters in Puerto Rico
A narrative review of food, energy, and water systems for disaster resilient communities in Puerto Rico
Frequent and intense natural disasters like hurricanes and earthquakes in Puerto Rico contribute to unreliable access to food, energy, and water (FEW) resources. Pre-existing political, socioeconomic, and environmental constraints in the archipelago can further complicate access to FEW resources. Bolstering FEW resource security by localizing resource production through household or community-scale projects improves community resilience to natura…
Computer Science (2 works) · Ecology (2 works) · Engineering (2 works) · Environmental Science (2 works) · Geography (2 works) · Natural disaster (2 works) · Agricultural risk and resilience (1 work) · Artificial Intelligence (1 work) · Boundary-work (1 work) · Cartography (1 work)