Data Meets Story

Data Meets Story

This area of research addresses the omnipresent, yet diverse combinations of data and story that inform knowledge-building, communication, socio-political, and economic life. It intends to catalogue and expand awareness of the complex ways in which data-rich computational cultures today continue to rely on and recombine narrative and story practices with data mining, processing, illustration, visualization, text-generating software, chatterbots, AI journalism, generative narratives, etc..  On a practical level, it considers data storytelling – how we ‘read’ data, visualize meaningful patterns and relationships, and combine these with text, images, and illustrations to make that data into meaningful, information, i.e., a narrative or nonfictional story and the ethics of interpreting data within science and the public sphere.  On a more philosophical and epistemological level, it considers how encounters of natural language texts, computational codes, and bioinformatic coding processes are changing the way we use and understand language, narrative, writing, storytelling, communication, identity, nation, and society.