[DNN] Data Visual Design in Journalism | Initium Lab | Exploratory Arm of Initium Media

[DNN] Data Visual Design in Journalism

Hong Kong
Room 1022, 10/F, Communication and Visual Arts Building, Hong Kong Baptist University
Jonathan Soma, Director of The Lede Program of Columbia Journalism School

You have wonderful data and a fantastic story, but will people pay attention without a clever visualization? Jonathan Soma will be discussing the interaction between data and visual design in journalism, and how to produce projects that will catch a reader’s eye. He’ll examine both published works and student projects, giving you tips and tricks to help make your stories stand out.

Data Journalism HKBU DNN

About the Speakers

Jonathan Soma is a programmer and educator who focuses on making unapproachable data accessible. He has made maps, processed data, and crowdsourced stories with ProPublica, WNYC, The New York Times, and others.

In 2009 he helped create Big Apple Ed, a web application that crunched NYC school data, which was awarded third place in New York City’s first annual Big Apps contest. Since then, Soma’s personal projects – analyzing the Japanese census, MTA travel times and more – have been featured everywhere from Gawker to The New York Times Style section.

In 2010 Soma cofounded the Brooklyn Brainery, a community-driven recreational school where he instructs on neuroscience, the Loch Ness Monster, and everything in between. He is also a speaker at Masters of Social Gastronomy, a monthly lecture series on culinary history, food science and culture.

Soma earned his B.A. in Cognitive Science from the University of Virginia.

Event Details

For more information, please refer to the following poster, or visit:
https://dnnsociety.org/2017/02/10/jonathan-soma-is-coming-to-hkbu/

hkbu-visit

cover-image

(Cover image credits to Jonathan Soma)

Data and News Society (DNN) and Initium Lab

Data and News Society (DNN) and Initium Lab partner to foster communications and collaborations among practitioners, researchers, teachers and students interested in the use of data in media industry.