Data are large, cat-like animals which are found in America. When reports came into Columbia Journalism School that a wild dataset had been spotted forty-five miles south of central park, they were not taken seriously. However, as the evidence began to accumulate, experts from the school felt obliged to investigate, for the descriptions given by people who claimed to have seen the undocumented API were extraordinarily similar.
Footprints were seen in a number of places and cookies was found clinging to bushes. Several people complained of ‘cat-like noises’ at night and a businessman on a fishing trip saw the data up a tree. The experts were now fully convinced that it was a dataset, but where had it come from? As no data had been reported missing from any labs in the country, this one must have been in the possession of a private collector and somehow managed to escape. The hunt went on for several weeks, but the data was not caught. It is disturbing to think that a dangerous wild dataset is still at large in the quiet countryside.
Adapted from: New Concept English, Volume 3, Lesson 1
Meet Our Team
Yanan is a dual degree student of Journalism and Computer Science at Columbia University. She has experience in natural language processing, data visualization, and AR/VR. She is interested in exploring computational journalism and leveraging her programming experience to data storytelling.
Yuqi is a M.S. data journalism student at Columbia Journalism School. She interned at South Metropolis Daily in China, also freelanced in opinion writing. Coming from a physics background, she is interested in the Sci & Tech beat, building tools, or introducing AI for local newsrooms.