Modeling Closer to Reality with Lars Rönnbäck (English)

In the last online meetup before the summer break, data modeling guru Lars Rönnbäck will reprise his talk on Modeling Closer to Reality, one of the highlights of this year’s Knowledge Gap data modeling & data architecture conference.

Lars Rönnbäck is a researcher in divergent information at Stockholm University, Sweden, and a consultant in information modeling. Over the last decade, his research has focused on how to manage information that is uncertain, imprecise, conflicting, and varying over time. This research has resulted in new modeling techniques that provide a closer-to-reality record of events, most notably anchor and transitional modeling.

Agenda:

19:00 Welcome & Round of Introductions
19:15 Modeling Closer to Reality (Lars Rönnbäck)
20:00 Discussion & Conclusion