BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Newmark J-School - ECPv6.6.4//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.journalism.cuny.edu
X-WR-CALDESC:Events for Newmark J-School
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251016T140000
DTEND;TZID=America/New_York:20251016T153000
DTSTAMP:20260908T214003
CREATED:20251001T204050Z
LAST-MODIFIED:20251001T204052Z
UID:10000746-1760623200-1760628600@www.journalism.cuny.edu
SUMMARY:Learn to Use AI for Data Reporting: Prompt Writing and AI-Powered Data Analysis
DESCRIPTION:Instructor:\nSandeep Junnarkar\nLeonard Tow Chair for Journalism Innovation\nDirector of Data Journalism Program\, Craig Newmark Graduate School of Journalism \nWhere: Zoom \n\nQuickly evolving artificial intelligence technology is emerging as a potentially powerful journalism tool\, including for harnessing data in stories. But AI needs to be wielded carefully and correctly to get accurate\, trustable results in storytelling. \nJoin Sandeep Junnarkar\, Data Journalism Director at the Craig Newmark Graduate School of Journalism at CUNY\, for a three-part training series on using AI to find and analyze data to help you produce strong\, high-quality stories for your audience. Junnarkar will be joined by Jere Hester\, director of the J-School’s Local Accountability Reporting program\, at these trainings. \nHow to find and access relevant data\nThursday\, Oct. 9 @ 2 pm – 3:30 pm ET\nLearn how to locate relevant data sets. We’ll explore – employing real-life examples – how to mine NYC Open Data and other largely untapped sources of information. \nPrompt writing and AI-powered data analysis\nThursday\, Oct. 16 @ 2 pm – 3:30 pm ET\nLearn to create effective AI prompts that\, as Junnarkar puts it\, allow you to “interrogate” the data\, asking questions that yield information and insight key to your story. \nHow to verify data and avoid AI pitfalls\nThursday\, Oct. 23 @ 2 pm – 3:30 pm ET\nDiscover how to validate your data projects and prevent AI “hallucinations” along with other risks tied to this fast-evolving technology. \nRegister for the data trainings \nIf you have any questions\, contact ccm@journalism.cuny.edu. \n\nInstructor \nSandeep Junnarkar began his journalism career helping launch The New York Times’ earliest digital editions\, writing on how technology transforms medicine\, psychiatry\, and communications. At Bloomberg\, he trains journalists in data journalism and advises on data projects. In 2019\, he received a Knight Foundation AI ethics grant to help community journalists examine AI’s impact on immigrants and low-income groups. He co-created YOU ARE HERE\, an AR storytelling app\, and launched The Hate Index\, tracking post-2016 hate incidents. He’s also developing PathChartr\, a tool for personalized news delivery. Junnarkar holds degrees from UC Berkeley and Columbia Journalism School.
URL:https://www.journalism.cuny.edu/events/learn-to-use-ai-for-data-reporting-3/
LOCATION:Virtual via Zoom
CATEGORIES:Center for Community Media
ORGANIZER;CN="Center for Community Media":MAILTO:ccm@journalism.cuny.edu
END:VEVENT
END:VCALENDAR