Pedagogical Strategies for Local Data Mapping

Local environments’ cultural aspects often resist big data aggregation methodologies because they frequently requires idiosyncratic collection, representation, and circulation methods. Additionally, local information commonly appeals to focused audience groups invested in narrow trends that could be ambiguated by an influx of external data. This talk covers practical ways to utilize students' local knowledges by casting them as distributed environmental sensors collecting cultural data for geographical representation through free tools and open formats.