Precision Fishing
SmartCatch deploys digital technology to help make the world’s commercial fishing industry more sustainable.
SmartCatch deploys digital technology to help make the world’s commercial fishing industry more sustainable.
By building strategic alliances with investors and shareholders, Indigenous Peoples are proactively protecting their rights by urging corporate respect of those rights in routine operations.
A call to bring back matriarchy in Indigenous communities to rebuild and decolonize the foundation of Native community life.
Indigenous intermediaries are crucial to overcoming asymmetries between impact investors and Native America through the building of relationships of trust, creation of an ecosystem for impact investing in Indigenous communities, and performance of the due diligence investors need to manage risk.
To solve the most pressing issues for Indigenous communities—and for the world at large—power and autonomy must be given to Indigenous people themselves.
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.