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| rowid | event_id | name | clean_description | location_room | start_date_clean | start_time | end_time | pre_reg_flag | paid_flag | laptop_flag | speakers_cleaned | session_type | keywords | skill_level | session_title |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 146 | 4150 | Machine learning and investigative reporting | Has your editor ever asked for a couple of examples? What if you could use machine learning to find some of those examples and investigate a real phenomenon? Join reporters who have used machine learning as a tool in investigative reporting. You’ll hear about how we used machine learning to find patients whose deaths were potentially linked to medical devices; tracked fake news and identified illegal ads on Facebook; investigated potential campaign finance fraud; and did financial muckraking in the tax records of a global financial corporation. We’ll answer important questions like: What is machine learning? What kind of stories could it help with? and What do you need to take into account to get started? | 3 | 2019-03-07 | 2019-03-07 15:30:00 | 2019-03-07 16:30:00 | 0 | 0 | 0 | Meredith Broussard, New York University (moderator); Emilia Diaz Struck, International Consortium of Investigative Journalists, Jeff Ernsthausen, ProPublica | 1 | 2 | Machine learning and investigative reporting |