Dansk

Cultural Institutions and Big Data

Join us for a seminar, where we will present an innovative prediction model for attendance, based on social media data. The Royal Danish Theatre will be used as a case.

 
Photo: Wiki Commons
Fredag, 1 december, 2017 - 13:00 to 15:30

Time & Place

Time: 1 December, 13:00-15:30
Place: Kilen (NEW ROOM CBS, room: K1.46), Kilevej 14A, DK-2000 Frederiksberg

Registration

For registration, please e-mail competitiveness@cbs.dk 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. 

Program

13:00-13:15
Welcome and opening by professor (mso) Trine Bille (MPP)

13:15-14:00
Christina Østerby, Director of Programming, Sales and Strategic Analytics, the Royal Theatre: Datadriven decision making at the Royal Danish Theatre

14:00-14:15
Break

14:15-15:00
Post. doc. Andrea Baldin (MPP): A prediction model for the Royal Danish Theatre based on Facebook data

15:00-15:30
Futures possibilities for using big data to increase competitiveness in the cultural sector by professor Ravi Vatrapu (DIGI).  

Sted 
Kilevej 14 A/B, 2000 Frederiksberg
Sidst opdateret: Competitiveness platform // 30/11/2017