WAN-IFRA COVID-19 Training & Data Challenge 2020

At risk of being overwhelmed by the deluge of information during this Covid-19 global pandemic, journalists need to find new ways of telling stories and be able to find stories buried deep within data.

In just four sessions held between 27 April and 13 May 2020, acquire fundamental skills in data journalism and master the tools for in-depth data storytelling. Participants will learn how to make sense of data and use online information to identify, tell and visualize stories for their digital platforms. Be guided through the best practices and pick up useful tips from case studies and additional one-to-one coaching sessions.

Then in the fifth and final webinar, vote your favourite as the top 3 entries in the Covid-19 Data Challenge vie for honours to win attractive prizes! Register to receive the webinar link for the project showcase on Thursday 2 July 020, 1030-1145h SIN/HK time HERE.

Learning Outcomes


  • 1

    How leading media cover Covid-19 with a data-driven approach


  • 2

    Find stories from Covid-19 related data


  • 3

    Visual-driven storytelling with digital tools


  • 4

    Digital tools for map-based reporting on Covid-19





Kuek Ser Kuang Keng is an award-winning digital journalist based in Kuala Lumpur, Malaysia. He is the founder of Data-N, a training program that helps journalists to integrate data journalism into daily reporting. Data-N has helped publications like Foreign Policy, BBC World Service, Mediacorp and Malaysiakini enhance their storytelling with data, visual and interactive components. With the support of Google Malaysia, he has been conducting regular digital journalism workshops across Malaysia since 2018. Keng is also the competition officer of the Sigma Awards and the former Data Journalism Awards - both international awards that recognize outstanding work in the field of data journalism worldwide.


Who Should Attend

Reporters & Journalists | Editors | Digital Editors | Producers | Newsrooms planning Covid-19 data stories are encouraged to attend as a team


Supported By

WAN-IFRA COVID-19 Training & Data Challenge 2020