Reflections from Fukushima
Confronting the risks and rewards of the world’s largest low-carbon energy source.
Environment Innovations in environmental protection and conserving natural resources
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A Slick Vehicle for Street Food
A specially designed food cart that combines high social impact with reduced environmental impact.
Coal: The Time to Divest Is Now
Coal is in decline, and it may well be terminal.
Cultivating Common Ground for a Healthy Environment
How engaging businesses and building a network of diverse stakeholders has drastically reduced the presence of invasive plants in California nurseries, while planting new seeds for others to sow.
Building New Networks for Efficient, Affordable Housing
Three lessons on accelerating targeted social change through network building.
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Engaging Employees to Create a Sustainable Business
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 Next Phase of Business Sustainability
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.
The Greening of Wal-Mart
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.
Protest Movements Could Be More Effective Than the Best Charities
To do as much good as possible with limited resources, funders should look to woefully underfunded protest movements.
The Case for Causal AI
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.