Partnering with the Nieman Foundation, Harvard’s MS in Journalism trains reporters to fuse data analysis, multimedia storytelling, and press-freedom ethics. Students mine public-records APIs, code investigative web-apps, and workshop long-form pieces with Pulitzer-winning editors while examining algorithmic bias, disinformation, and newsroom sustainability. Field immersions embed journalists in statehouses, science labs, and conflict zones, launching graduates to The New York Times, ProPublica, and innovative non-profit newsrooms.
Data-driven series mapping eviction filings by corporate landlords
Interactive explainer on CRISPR therapies with 3-D graphics
Podcast uncovering dark-money influence in local elections
FOIA-based investigation into police-surveillance tech contracts
Open-source handbook on verifying deepfake videos
Cross-border collaboration tracking illegal fishing fleets
Newsletter dissecting AI-generated propaganda campaigns
Mobile storytelling toolkit for low-bandwidth rural audiences
Documentary short on climate migration within Appalachia
Analysis of hospital charge-master price disparities
Visual essay revealing gender bias in sports coverage images
Ethics white paper on using scraped social-media data
Crowdsourced platform logging environmental violations
Capstone on philanthropic models for sustaining local news
Training workshop for community reporters in data scraping
VR piece immersing viewers in urban heat-island streets
In-depth profile series on post-pandemic gig-worker realities
Open-data repository accompanying investigative package
Blend data, narrative, and watchdog ethics to serve the public interest.
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