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A Global Turning Point: Why Youth Well-Being Is in Crisis – and What We Must Do About It

Symposium Schedule

A Global Symposium Co-hosted by Dartmouth and the United Nations Development Programme

Dartmouth and the United Nations Development Programme are proud to host a three-day symposium from Oct. 26 to 28, bringing together leading experts, senior policymakers, and youth advocates to examine the global decline in youth well-being and its implications for development in an era of rapid societal transformation.
Join us to engage, learn, and act together.
 

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Graduate and Professional Studies

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Geisel School of Medicine
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Guarini School of Graduate and Advanced Studies
Micah Green
Thayer School of Engineering
Kenlynn Yeo,Juvenal Quinones, and Zac Seeber
Tuck School of Business

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At Dartmouth, we’re strengthening a culture in which community members engage in respectful discussion across differences and feel comfortable having their views challenged.

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The closeness of Dartmouth’s academic community and the proximity of its resources have a way of bringing individual students together with the scholar or researcher who can ignite an unquenchable curiosity.

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Professor of Medicine (Photo courtesy of NASA) 

Jay Buckey

“If you’re in space for a long time, bone and muscle loss are significant problems. Right now, there’s not a really good way to track that,”

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Lauren Lu
Professor of Business Administration (Photo by Laura DeCapua)

Lauren Lu

“Inequity in resource allocation is hindering women from climbing the corporate ladder.”

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Britt Goods
Assistant Professor of Engineering (Photo by Eli Burakian ’00)

Britt Goods

“Marrying the two technologies together can be really valuable because you can see exactly where a particular group of cells is important,”

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Adithya Pediredla
Assistant Professor of Computer Science (Photo by Katie Lenhart)

Adithya Pediredla

“My research touches multiple fields, including computer vision, computer graphics, optics, signal, and image processing.”

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Nicholas Jacobson
Assistant Professor of Biomedical Data Science (Photo by Eli Burakian ’00)

Nicholas Jacobson

“We use AI and data captured through smartphones and wearable sensors to try to predict the severity and course of mental health.”

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