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2017 California Data Fellowship

Program Description: 

The California Data Fellowship introduced 10 competitively selected California journalists to a wealth of data sources that can inform and elevate their health reporting. The all-expenses-paid program, funded with generous grants from the  and , included a $2,000 reporting stipend to use to report on health policy topics including mental health and substance abuse; healthcare costs and healthcare financing; the performance of California’s safety net; the patient experience; the healthcare workforce; health care coordination; the use of opioid drugs; end of life and palliative care; telemedicine and the use of technology in health care delivery; data transparency and the health care industry; maternity care and cancer care. Several of the Fellows also received community engagement grants of $2,000. The Fellowship was designed for reporters who want to harness and analyze data that can shape health care decision-making, policy and legislation across California and beyond.

Over the course of four days, Fellows learned how to integrate the growing wealth of California health data – on procedures, providers, costs, conditions and demographics -- into reporting about health issues in their communities.  Editors were invited to participate in a half-day project brainstorming session with other Fellows and editors. Over the six months after the training, our highly skilled Senior Fellows, , a distinguished data journalist at the Wall Street Journal, and  Lorry I. Lokey Visiting Professor in Professional Journalism at Stanford University and a member of the California Civic Data Coalition, are providing guidance as each Fellow works on a substantive data-informed health journalism project of importance to his or her community. 

Click here for a list of the 2017 California Data Fellows and links to their bios, projects and blog posts.

 

 

 

Announcements

Want to improve your data journalism skills?  Apply now for the $2,000 California Data Fellowship -- four all-expenses-paid days of training on data acquisition, analysis and visualization, a $2,000 reporting grant and six months of expert mentoring.  Dates:  October 17-20. Deadline: August 27.

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