JSK Fellows
editor of investigations, Novaya Gazeta, Moscow (Lyle and Corrine Nelson International Fellow)
aninr@stanford.edu
Developing a number of tools which would automate some of the basic tasks of investigative reporters.
new media research and training manager, La Nación, Buenos Aires, Argentina (Knight Latin American Fellow)
fcoelho@stanford.edu
There is an urgent need to train newsrooms about opportunities and challenges presented by AI to fullfill their watchdog role over governments and corporations.
photojournalist and co-founder, Everyday Africa, Seattle
dicampo@stanford.edu
Examining how photography and visual journalism may be used to deconstruct and counter media stereotypes.
director, Journalism 360, Online News Association, Santa Monica, California
leh4@stanford.edu
Journalism has a design problem. Exploring innovative artistic and technological approaches, including VR/AR, can help investigative journalism have more staying power and increase impact.
founder and publisher, The Devil Strip, Akron, Ohio
cmhorne@stanford.edu
We don't need to save local news. We need journalism that saves the civic life by helping people care about their cities and neighbors.
editor-in-chief, Storyful, New York
mmjenkin@stanford.edu
Newsrooms may only be able to understand how they "lost" their audience to "fake news" by actually talking to those people.
reporter, The Boston Globe, Boston
akjohn@stanford.edu
How might newsrooms use mobile technology to disseminate information in communities that are underserved by the media?
co-founder and managing partner, INK Centre for Investigative Journalism, Gaborone, Botswana
konopo@stanford.edu
In the absence of enabling legislative framework for financial transparency, can African journalists find ways to track political funding and other disclosures?
president and executive producer, Moriba Media, New York
gmoriba@stanford.edu
How can journalists effectively use artificial intelligence to identify patterns of bias, polarization and selective editorial reporting? Can AI de-bias journalism?
senior editor, Wired, San Francisco
kmpalmer@stanford.edu
How journalists can use data to power investigative reporting on scientific research.
photojournalist and co-director, #Dysturb, New York
bpetit@stanford.edu
Exploring innovative forms of news delivery, mostly through immersive installations and performances in the public space.
deputy editor, Le Monde, Paris
prieur@stanford.edu
How might we combine the rise of paid content business models with the democratic necessity of broad access to media?
data editor, Univision News, Miami
rrojash@stanford.edu
How might we build collaborative networks of investigative journalists to better tell the stories of people who migrate from Central America to the United States?
freelance journalist, Oakland, California
sshourd@stanford.edu
Employing the tools of fiction to bring journalistic investigations to life; helping audiences engage with information outside their geographic, social and online bubbles.
international correspondent, VRT News, Brussels
tomvdw@stanford.edu
Exploring the use of deep learning (artificial intelligence) and blockchain technology to detect deepfake video and authenticate audiovisual content.
ICFJ Knight Fellow, New Delhi
hrv@stanford.edu
How might news organizations collaborate on fighting disinformation in communities with multiple languages, low literacy and limited internet access?
deputy director, International Consortium of Investigative Journalists, Washington, D.C.
marinawg@stanford.edu
ICIJ reporters and computer scientists at Stanford join forces and use machine learning to uncover unforeseen patterns, connections and stories in terabytes of messy data.