Center for Cooperative Media
The mission of the Center for Cooperative Media is to grow and strengthen local journalism, and in doing so serve New Jersey residents. We do that through the use of partnerships, collaborations, training, product development, research and communication. We work with 250 partners throughout the Garden State, including hyperlocal digital publishers, public media, newspapers, television outlets, radio stations and multimedia news organizations.
We are a grant-funded organization based at Montclair State University’s College of Communication and Media.
From the beginning, the underlying assumption of the Center was — and still is — that news organizations can accomplish things by working together that no individual organization would be able to achieve on its own.
Climate resilience and environmental justice for New Jersey communities
Press briefing with Dave Cole of the NJ Office of Innovation
▶️ REPLAY: 7+ hours of New York City skyline LiveCam in less than 5 minutes
Master class: The community impact of independent journalism
Press briefing with Sen. Andy Kim (D-NJ)
Master class: Our collaborative has all this data. Now what?
⌛ Timelapse: 6 hours of NYC skyline livecam in 10 minutes
Why local newsrooms need media liability insurance
Exploring content sharing platforms for local news: DML vs Plucky Wire demo for NJ newsrooms
How to use the NJ Budget Tool for investigative reporting
Master class: How journalism collaboratives can work with influencers (Session #1)
How collaboratives and local news organizations can fundraise in the same environment
AI for journalists: Image generation and data visualization (Module 4.2)
AI for journalists: Deep Research and data visualization (Bonus Module)
AI for journalists: The ethics of using AI for journalism (Module 4.1)
AI for journalists: Building more complex automations (Module 3.2)
AI for journalists: Using Zapier to connect your apps (Module 3.1)
AI for journalists: Structured prompt templates (Module 2.3)
AI for journalists: Creating structured reasoning prompts (Module 2.2)
AI for journalists: Adding context to your prompts (Module 2.1)
AI for journalists: Common journalism prompts and use cases (Module 1.2)
AI for journalists: The anatomy of a prompt (Module 1.1)
New York City (NYC) timelapse footage | B-ROLL | ROYALTY FREE USE | 4K
Workshop: How to use Census data to tell compelling local housing stories
What happens when the people reporting your news can't afford to live in your community?
🧪 Civic science media collaboration grants: Information session and Q&A
How the nation’s largest collaborative of media funders is working together to support the industry
⚡Collaboration across prison walls: Juan Moreno Haines of Solitary Watch
How civic science media is transforming journalism and community engagement
Press briefing: Responsible immigration coverage in 2025