Climate Adaptation Means Building Social Infrastructure
Resilience to climate change is less about building walls than cultivating the social capacities for people to navigate uncertainty with agency, solidarity, and security.
Resilience to climate change is less about building walls than cultivating the social capacities for people to navigate uncertainty with agency, solidarity, and security.
At its core, conservation is about behavior change. Yet few organizations have put in place the structure, standards, and accountability needed to apply behavioral science effectively.
Highlights of this year’s book reviews and excerpts on topics including gun violence prevention, cash transfers, refugees, regenerative agriculture, adapting to climate change, reinventing solidarity, and more.
An excerpt from Evaluative Inquiry for Systemic Change on embedding value into evaluation
A look at the issues and articles that resonated most with SSIR’s local language edition readers in 2025.
The key to creating a vibrant and sustainable company is to find ways to get all employees personally engaged in day-to-day corporate sustainability efforts.
The era of corporations integrating sustainable practices is being surpassed by a new age of corporations actively transforming the market to make it more sustainable. Open access to this article is made possible by The Regents of the University of Michigan on behalf of the Erb Institute.
For much of its history, Wal-Mart’s corporate management team toiled inside its “Bentonville Bubble,” narrowly focused on operational efficiency, growth, and profits. But now the world's largest retailer has widened its sights, building networks of employees, nonprofits, government agencies, and suppliers to “green” its supply chains. Here's how and why the world’s largest retailer is using a network approach to decrease its environmental footprint – and to increase its profitability.
To do as much good as possible with limited resources, funders should look to woefully underfunded protest movements.
Using artificial intelligence to predict behavior can lead to devastating policy mistakes. Health and development programs must learn to apply causal models that better explain why people behave the way they do to help identify the most effective levers for change.