The paper "Data-driven Design: A Case for Maximalist Game Design", written in collaboration with IDG staff member Antonios Liapis and the NYU Game innovation Lab members Gabriella A.B. Barros, Michael Green and Julian Togelius, has received the Runner-up Best Student Paper Award at the International Conference of Computational Creativity.
The paper explores some of the aesthetic challenges, particularities and concerns associated with games that are created from data found in Wikipedia, OpenStreetMap or Google Images. Building on the extensive efforts of the IDG and NYU collaborators to design generators which produce playable and interesting content from something as varied and occasionally unreliable as Wikipedia, the paper illuminates both possibilities (e.g. data games for learning) and pitfalls (e.g. legal issues or misinformation) of this approach. Find the awarded publication here and a web version available here (and its Bibtex citation here).