**Thank you for your interest. We have closed our applications into the cohort at this time. Please email
localnewslab@columbia.edu if you would like to be added to our mailing list and be notified when we open applications for our next cohort.**
Is your newsroom committed to optimizing high quality reader engagement, interested in experimentation, and willing to securely share data with the lab? Then the Local News Lab, a team of engineers, designers, and data scientists working to build open-source data products to help support local and community newsrooms, is looking for you!
We are hoping to partner with three publications on an 8-month project starting in June. We’ll lead interactive workshops and work collaboratively on a product with the goal of helping you meet your organization’s business needs. The product will build upon our past work on recommendations and you will help shape the direction we take the project next.
If selected into this program, the Local News Lab team will work with you and your cohort peers to prototype a product we collectively conceive, and share data science and analytics best practices that can help inform your strategy (if time allows we may be able to deploy a production-ready product). Your commitment to two, 30 minute meetings per month, in addition to some one-off workshops, allows us to collaborate closely to align our work with your needs, update you on our progress, and proactively seek your input. We look forward to hearing from you!
You can read more about the Local News Lab here:
https://lnl.brown.columbia.edu/about-usAPPLICATION DEADLINE *EXTENDED*: Friday, May 6 at 5 p.m. ET
Note: At this time the project is limited to US-based news organizations