Sharing to Save the Planet
Civic science platform ISeeChange mobilizes communities to take action on climate change.
Civic science platform ISeeChange mobilizes communities to take action on climate change.
Authors Michael Lenox and Rebecca Duff call for disruptive innovations and radical reconfiguration of industries to decarbonize the planet by 2050.
A collection of standout pieces published online about impact accounting, intersectional storytelling, NGO endgames, universal basic income in South Korea, and a social enterprise supporting coffee growers in Central America.
In Colombia’s Selva de Matavén Unified Indigenous Reserve, we can see what the REDD+ financing framework for carbon offsets can mean for the people living in the forests they sustain.
Businesses have played a significant role in degrading the social, economic, ecological, and governance commons, but they can play an equal role in restoring them through the development of seven regenerative qualities.
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.