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Recent investments in clean energy R&D have led to remarkable innovations in clean energy technology. These innovations hold the promise of slowing and perhaps even reversing decades of anthropogenic climate change.

But in order to fully realize the promise of clean energy innovation, we also need social innovation: social impact R&D aimed at finding the interventions, programs, and policies that can shift decision-making and behavior in the direction of reducing harmful emissions.

In 2022 the Intergovernmental Panel on Climate Change reported that “changes to lifestyles and behavior have the potential for large reductions in global greenhouse gas emissions.” Social impact R&D can help us find the interventions, programs, and policies that will lead to these climate-protecting changes in lifestyles and behavior.

In partnership with The Conversation and SAGE Publishing, the Agenda Fund is hosting an important conversation with leading social and behavioral scientists and climate thought leaders to discuss: 

  • what we know about cost-effective and scalable interventions to shift decision-making and behavior in the direction of reducing harmful emissions;
  • the potential return on investment from expanding this knowledge base.

The event, “Is Behavior the Solution? Setting a Research Agenda for Climate Change Mitigation,” will take place Friday, June 9, 2023 from 9am to 2pm ET at The Rockefeller Foundation’s Global Headquarters, 420 5th Avenue, New York, NY. Please contact us at agendafund@ssrc.org if you are interested in attending.


John A. List

University of
Chicago

Erica Myers

University of Calgary

Speakers

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Karen Palmer

Resources for the Future

Casey Wichman

Georgia Institute of Technology

Climate Change Mitigation

Defining an Agenda for Social Impact R&D

AGENDA FUND

June 9, 2023

The Rockefeller Foundation Global Headquarters

Catherine Wolfram

University of California, Berkeley

Elizabeth Yee

The Rockefeller Foundation

Atmospheric phenomenon, Wind turbine, Sky, Windmill, Cloud, Mountain, Highland, Slope, Electricity

The Social Returns from ESG Investing

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Advancing Diversity in STEM

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Increasing Scientific Innovation

Overview

Research

Perceived Price in Residential Water Demand: Evidence From a Natural Experiment (2014)

Conservation Policies: Who Responds to Price and Who Responds to Prescription? (2016)

Harnessing Policy Complementarities to Conserve Energy: Evidence from a Natural Field Experiment (2017)

Information Provision and Consumer Behavior: A Natural Experiment in Billing Frequency (2017)

A Cautionary Tale on Using Panel Data Estimators to Measure Program Impacts (2017)

Smart Meters: Do Their Prices Matter to Their Adoption and Do They Save Energy? (2018)

Bicycle Infrastructure and Traffic Congestion: Evidence from DC's Capital Bikeshare (2018)

Do Energy Efficiency Investments Deliver? Evidence from the Weatherization Assistance Program (2018)

The Behavioralist Goes Door-To-Door: Understanding Household Technological Diffusion Using a Theory-Driven Natural Field Experiment (2019)

The Distributional Effects of Building Energy Codes (2019)

Are Home Buyers Inattentive? Evidence from Capitalization of Energy Costs (2019)

Testing for Crowd Out in Social Nudges: Evidence From a Natural Field Experiment in the Market for Electricity (2019)

The Impact of Management Practices on Employee Productivity: A Field Experiment with Airline Captains (2020)

Social Comparison Nudges Without Monetary Incentives: Evidence From Home Energy Reports (2020)

Asymmetric Information in Residential Rental Markets: Implications for the Energy Efficiency Gap (2020

Default Effects and Follow-On Behavior: Evidence From an Electricity Pricing Program (2021)

Decomposing the Wedge Between Projected and Realized Returns in Energy Efficiency Programs (2021)

Smart Thermostats, Automation, and Time-Varying Prices (2021)

Heterogeneous (Mis)perceptions of Energy Costs: Implications for Policy Design (2021)

Are Consumers Attentive to Local Energy Costs? Evidence From the Appliance Market (2021)

Do Behavioral Nudges Interact with Prevailing Economic Incentives? Pairing Experimental and Quasi-Experimental Evidence from Water Consumption (2022)

Mandatory Energy Efficiency Disclosure in Housing Markets (2022)

Energy Efficiency Can Deliver for Climate Policy: Evidence from Machine Learning-Based Targeting (2022)

Do The Effects of Nudges Persist? Theory and Evidence from 38 Natural Field Experiments (2022)

Price-Responsive Allowance Supply in Emissions Markets (2022)

Water Affordability in the United States (2022)

RCTs Against the Machine: Can Machine Learning Prediction Methods Recover Experimental Treatment Effects? (2023)

Does Energy Star Certification Reduce Energy Use in Commercial Buildings? (2023)

Overview

Michael
Greenstone

University of Chicago