Cultural Institutions and Big Data
Time & Place
Time: 1 December, 13:00-15:30
Place: Kilen (NEW ROOM CBS, room: K1.46), Kilevej 14A, DK-2000 Frederiksberg
For registration, please e-mail email@example.com no later than 30 November.
About the Event
Many cultural institutions lack data-driven decision making when it comes to pricing and other important decisions. With reduced state funding and increased competition, it gets more important for the cultural institutions to know their audience's behavior. In the seminar, we will present an innovative prediction model for attendance, based on social media data. The Royal Danish Theatre will be used as a case.
Welcome and opening by professor (mso) Trine Bille (MPP)
Christina Østerby, Director of Programming, Sales and Strategic Analytics, the Royal Theatre: Datadriven decision making at the Royal Danish Theatre
Post. doc. Andrea Baldin (MPP): A prediction model for the Royal Danish Theatre based on Facebook data
Futures possibilities for using big data to increase competitiveness in the cultural sector by professor Ravi Vatrapu (DIGI).