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From Measurement to Success
Urban Institute’s work highlights the transformative potential of investing in data and tech.
Solutions - Articles
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Technology Is Her Compass and Data Is Her Guide
Pencils of Promise CEO Tanya Ramos blazes new trails as an early adopter of digital tools.
Review
Experimentation and Its Discontents
In The Power of Experiments, Michael Luca and Max H. Bazerman examine the growing reliance on the scientific method in shaping market and policy decisions. A book review in the Summer 2020 issue.
Leading During and After a Crisis
Our mission is to find and publish articles by leading thinkers and doers that provide insight on important issues and challenges that social sector leaders must deal with continually. As it turns out, some of these eternal topics are essential now. The Editor's Note from the Summer 2020 issue.
A Social Movement for Conservation
Because government action will always be dependent on public support, leading conservation organizations must focus on building a constituency for nature.
How Foundations Can Make Progress on Long-Term Social Change Amid the COVID-19 Crisis
Amid foundations' necessary and immediate responses to the COVID-19 crisis, there are unusual opportunities to advance their long-term goals of building more just and equitable societies.
How Funders Can Help Save an Economic Engine of the Developing World
The COVID-19 crisis is threatening small and growing businesses in low-income nations and the capacity development organizations (CDOs) they depend upon. Helping CDOs overcome three types of financial challenges is critical to responding to the current and coming economic devastation.
How One National Nonprofit Is Adapting to COVID-19
Lessons learned at Friends of the Children about maintaining stability in service during this crisis and the next one.
Creating a University From Scratch
How Minerva is reimagining higher education now and partnering to scale for impact in the future. Part of the Innovating Higher Education series.
How the Social Sector Can Use Natural Language Processing
Uncovering invisible patterns in vast datasets cannot only automate a variety of tasks, freeing up people to do more valuable and creative work that machines can’t do, but provide new kinds of learning.