SSIR Online, Spring 2022 Issue
A collection of standout pieces published online about blockchain for good, collective impact, overcoming racial equity fatigue, and carbon offsets.
A collection of standout pieces published online about blockchain for good, collective impact, overcoming racial equity fatigue, and carbon offsets.
New genome sequencing has produced saline-resistant and flood-tolerant rice.
Tonya Allen of the McKnight Foundation and John Palfrey of the John D. and Catherine T. MacArthur Foundation discuss how they’re answering the global call for climate solutions that promote equity and protect vulnerable communities and encourage others in the philanthropic sector to act at this critical time. Produced in partnership with The Pew Charitable Trusts.
A year of working together in a cross-generational group has taught us how to bridge our divides—and leverage each other’s strengths in the climate fight.
An excerpt from Settling Climate Accounts on the emerging practice of Net Zero finance.
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.