Foundations Can Unlock a Food System to Feed the World
Small farmers and food businesses are essential to building a resilient food system, but they need flexible, patient capital to thrive.
Small farmers and food businesses are essential to building a resilient food system, but they need flexible, patient capital to thrive.
To build more inclusive movements, social advocacy organizations and activists need to create stories that can engage both familiar and new communities.
Solubag’s founders want to emulate the feel of single-use plastic bags while leaving no trace.
Supported by the nonprofit US Endowment for Forestry & Communities, Restoration Fuels will turn wood scraps into a substitute for coal, potentially providing energy, jobs, and even environmental benefits.
As the world’s climate scientists continue to warn us of the dire consequences of global warming, including a documented increase in wildfires, climate change is revealing new ways of how little we invest in and value humanity.
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.