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Saturday May 24, 2025 3:30pm - 4:45pm CEST
Learn how AI can sort through images and video to help you wrangle footage from protests and riots (NYT), analyze trends on TikTok (Washington Post), keep an eye on your local school board meetings (Hearst), measure the effects of congestion pricing (Bloomberg), and a hundred other tidbits for when the cameras might be rolling.

With a little Python and a dash of foundational knowledge, this session will cover downloading videos, building and evaluating transcripts, splitting scenes, categorizing images, and detecting/counting/tracking objects.

Participants will get the most out of this session if they have a working knowledge of Python. To follow along, you should have Jupyter installed on your computer or a Google account to use Google Colab. Additional materials and installation tips will be available at https://github.com/jsoma/dataharvest25-ai-images-video
Speakers
avatar for Luc Martinon

Luc Martinon

Freelance data journalist
Freelance data journalist, based in Berlin. I work on different cross border projects, the last big one being the Forever Pollution Project.Proud member of the CORRECTIV.Europe project.Topics: corporate capture, conflicts of interest, national and EU lobbying, chemical pollution... Read More →
avatar for Jonathan Soma

Jonathan Soma

Professor, Columbia University
Jonathan Soma is Knight Chair in Data Journalism at Columbia Journalism School, where he directs both the Data Journalism MS and the summer intensive Lede Program. His courses there cover everything from basic Python and analysis to ai2html and machine learning. Right now he's very... Read More →
Saturday May 24, 2025 3:30pm - 4:45pm CEST
Z2.04 Z2.04

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