JSK Class of 2019

How storytelling in different mediums can affect scale, audience, and impact

What I found out while studying news, disinformation and the audience they (mostly) share

How bias works in the 21st Century

What a dance class at Stanford taught me about destabilization, chaos and journalism.

Journalism, as it is currently celebrated and taught, is too US-centric.

Together, we can better reach local audiences, and report with depth and nuance in different languages.

There’s great value in the ideas that emerge when two epistemological traditions collide

And why I’m excited about satellite imagery, the environment, and human rights

“Learn the rules like a pro, so you can break them like an artist.”  —  Pablo Picasso

Healthy habits from my JSK Fellowship year that I’ll take with me back to my freelance life

A year ago I boarded a plane to rural Louisiana looking for a story, and I ended up finding an audience.

Going into schools to mix street art, journalism and media literacy

How should we journalists address the growing problem of synthetic media

News organizations need to be more accessible and transparent to bridge the growing divide between them and audiences

Relationship-building and storytelling approaches to help people see, feel, and understand others.

How the JSK Journalism Fellowship is teaching me to learn to lean on others

How I achieved my goals as a JSK Journalism Fellow at Stanford

How might we improve access and credibility in historically-underserved communities? Diversity, audience engagement, and impact.

How AI can serve as the subject of an investigation or as a reporting tool for journalism

How the careful use of creative tools can strengthen storytelling.

How we can make cities better by making local news better

Technology can help illuminate dark corners of political funding in Africa

Media experts Nic Newman, Rodney Benson and Heather Bryant discuss how we can improve the media landscape for our audiences

A new partnership between journalists and Stanford machine learning scientists aims to enhance the investigative reporting process