Project Grant 2342227
- This $301,719 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will fund research to develop flexible regression methods that can better measure the economic impacts of climate change. The research will focus on improving statistical techniques to accurately capture the effects of extreme temperature exposure on economic outcomes, which is critical for informing effective climate policy. The work will include...
- This $148,477 federal Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a collaborative research project at Pennsylvania State University. The project explores how scientific messages about environmental adaptation shape people's decisions, especially when their beliefs about the environment, politics, and other issues are closely connected. The research aims to clarify how these choices can unintentionally...
- This $322,555 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program supports research to develop statistical and machine learning methods for studying the dynamics of weather and climate extremes. The three-year project, with a completion date of July 31, 2025, will focus on three key areas: climate model validation, changepoint estimation for extremes, and integration of multi-model climate ensembles. The research aims to enhance...
- The National Science Foundation (NSF), through its Social, Behavioral, and Economic Sciences program (CFDA 47.075), awarded a $399,142 Project Grant to The Regents of the University of Colorado, to be executed from August 1, 2023 to July 31, 2026. The project aims to analyze how spatial impacts of climate change on agriculture are affected by trade and risk management strategies. Key activities include: (1) estimating trade responses to climate shocks and risks, (2) estimating planting responses...
- This Project Grant award of $194,675 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to develop new econometric and statistical methods that allow researchers to draw valid conclusions from complex data in a variety of social, behavioral, and medical science settings. The key products and services to be delivered include: Developing a generally applicable reparameterization procedure for informative...
- This $577,535 Project Grant, awarded by the National Science Foundation's Geosciences Program (CFDA 47.050), supports collaborative research to develop a theoretical framework for assessing the value of using climate model output to inform decision-making for weather and climate risk management and adaptation. The research applies an economic framework to quantify how different types of weather and climate information would lead to better or worse decisions across various sectors, such as...
- This $285,000 federal Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) will fund research to develop new statistical methods to guide economic and public policy decisions in rapidly changing environments. The research aims to build on recent advances in statistical decision theory, causal inference, and machine learning to create econometric models that can effectively inform evidence-based policymaking while...
- The National Science Foundation (NSF) Division of Social and Economic Science awarded a $243,767 Project Grant to The Trustees of Columbia University in the City of New York (Columbia University) for a 3-year collaborative research project (Award Date: Jul 15, 2023, Completion Date: Jun 30, 2026). The research examines how weather forecast accuracy impacts economic behavior and human wellbeing, including the differential effects across different demographic groups. Specifically, the project...
- This National Science Foundation Geosciences Program (CFDA 47.050) project grant, awarded to the University of California, Davis on September 1, 2025 for $570,041, aims to develop a theoretical framework for assessing the value of climate model information to support decision-making for weather and climate risk management and adaptation. The researchers will apply an economic framework to quantify how different types of synthetic weather and climate information would lead to better or worse...
- This Project Grant award of $303,440.00 from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports a collaborative research project that creates a database and dashboard of ecosystem guidelines for 80 countries. The project assesses national guidelines across sectors such as energy, industry, transportation, and agriculture, in relation to international agreements, and measures indicators of short-term adaptation and longer-term societal...
This $135,798 Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program funds collaborative research to develop flexible regression methods that can more accurately measure the economic impacts of climate change. The research aims to address limitations in existing approaches that do not adequately capture the effects of extreme temperatures on economic outcomes. The award supports the development of new statistical software and methods, training of graduate students, and production of review articles to disseminate the research findings. The results are expected to enhance climate economics research quality and improve climate and environmental policymaking. No subawards are planned under this grant, which has a performance period from July 1, 2024 to June 30, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $135.8k | 7/1/24 |