Anticipatory Humanitarian Aid
Mercy Corps leverages satellite data and AI to preemptively send emergency relief to people ahead of natural disasters.
Mercy Corps leverages satellite data and AI to preemptively send emergency relief to people ahead of natural disasters.
A model for lasting change through authentic, transformational partnership.
Indigenous and local community-centered solutions to deforestation are among the most effective and enduring strategies for mitigating climate change. Social innovators in these communities pioneered a new playbook for getting the world to take notice.
This follow-up to “Social Innovation and the Journey to Transformation,” sponsored by the Skoll Foundation, explores how bold social innovators shift systems through collective action. The series offers adaptable playbooks for social innovators, partners, and funders to learn from and apply to their work.
How philanthropy can help build a more resilient and equitable food system through agroecology
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.