Health Innovations in health care policies and programs

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Ticia Gerber - Leadership in Global Health Technology

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Ticia Gerber sits at the center of one of the world's important current debates: How do we keep people healthy without having it cost an arm and a leg? At eHealth Initiative and LIGHT, Gerber is working across three continents to bridge the public, private, and social sectors. She talks with Globeshakers host Tim Zak in an audio interview about the role of technology in the future of healthcare and what it means to create a dialogue between the developed and developing world.

Dr. Paul Farmer - Partners In Health

Recipient of the 9th Annual Heinz Award for the Human Condition, Paul Farmer is a medical doctor and a professor of anthropology at Harvard's medical school. He shuttles between Harvard and Haiti, where he maintains a practice at Clinique Bon Saveur, a charity hospital he founded. Farmer talks in this audio interview with Globeshakers host Tim Zak about the challenges and rewards of providing healthcare to the poorest of the poor, and the evolving, innovative models for getting drugs to those who need them most.

With Vigor and VIM

By Leslie Berger 5

How retired healthcare professionals are taking care of the uninsured.

Tainted Love

By Maia Szalavitz

Tough love programs hurt addicts and adolescents.

Randy Martin - Speed and Agility Versus Cost

Randy Martin has been in the business of humanitarian disaster relief for 25 years. In this audio lecture recorded at the Stanford Effective Disruption Management Seminar, Martin shares some of the lessons he has learned on the front lines and investigates possible collaborations across sectors to enhance disaster relief operations.

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The Dragonfly Effect - Thumbnail

The Dragonfly Effect

By Jennifer Aaker & Andy Smith 10

Two veterans of consumer psychology, marketing, and entrepreneurship provide a guide to using social media for social change.

The Case for Causal AI

By Sema K. Sgaier, Vincent Huang & Grace Charles 3

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.