Data Journalism: Using Data to Tell Impactful Stories (Feb. 1, 2023)
The importance of data in the world of journalism grows by the year. The journalists of today find, extract and interpret data to tell the stories that make the greatest impact. On Feb. 1, an expert panel discussed how data can be used to make a difference. Panelists: Sean Mussenden ’00, Data Editor at the UMD Howard Center for Investigative Journalism; Derek Willis, Lecturer at the Philip Merrill College of Journalism; Jesse Klein, Lecturer at the College of Information Studies; and Naeemul Hassan, Assistant Professor at the College of Information Studies & Philip Merrill College of Journalism. Moderator: Jen Golbeck, Professor at the College of Information Studies.

▶︎
How to become a data journalist, with Alan Smith

▶︎
IMF Summer School: Public Financial Management (PFMx)

▶︎
Shared Mobility Regulations: Balancing Policy Goals with Operating Costs - Webinar

▶︎
ACC NCR 2026 AI Conference - Session 3

▶︎
Paradise Papers: The True Story Behind The Secret Nine-Month Investigation (HBO)

▶︎
Georgetown & Yale Social Impact Leaders in NYC

▶︎
Health Professions Educator Series: UME to GME Transitions: How Do We Improve the Process?

▶︎
S13 E15: Iran, FIFA & UK Elections: 6/14/26: Last Week Tonight with John Oliver

▶︎
The Truth in Numbers: Redefining Data Journalism Through Art | Whose Truth Is It Anyway?

▶︎
Data journalism masterclass, with Professor Paul Bradshaw

▶︎
6-15-23 Planning Board

▶︎
DFCM Education May 2026 Lakeridge Health MHA Program

▶︎
From Idea to $650M Exit: Lessons in Building AI Startups

▶︎
The French Do Not Care About Work

▶︎
Data Journalism & Visualization for Rookies: Introduction to Data Journalism

▶︎
Building a Health System: Tool Development in the Frontenac, Lennox & Addington Ontario Health Team

▶︎
2022 kmf investor forum with wespath institutional investments

▶︎
Which country has the best education in the world? - The Global Story podcast, BBC World Service

▶︎
Columbia Program Spotlight: M.S. in Data Journalism

▶︎
