An excerpt from Strategic Corporate Conservation Planning details the efforts of companies, governments, and communities to remediate polluted lands.
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.
Over the last 30 years, half of all coral reefs have died, threatening marine species and people's livelihoods. To reverse this trend, Coral Vita uses a pioneering technique to grow coral in land-based farms up to 50 times faster than they grow naturally. A What's Next article from the Summer 2020 issue.
Eco-roads made from plastic promise a viable solution for waste management and the reduction of crude oil use. A What's Next article from the Summer 2020 issue.
Donors and volunteers alike understand that humans are not the only refugees from the growing climate crisis. The Last Look from the Summer 2020 issue.
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.
