{"database": "nicar", "table": "sessions", "rows": [[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\u2019ll 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\u2019ll 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, null, 2, "Machine learning and investigative reporting"]], "columns": ["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"], "primary_keys": ["rowid"], "primary_key_values": ["146"], "units": {}, "query_ms": 0.4508495330810547}