9 külalisloengut-praktikumi digihumanitaaria ühelt tipptegijalt annavad ülevaate, kuidas rikkalikke ning keerukaid kultuurilisi andmeid, mis pärit näiteks kirjandusest, folkloristikast või sotsiaalmeediast, uurida suures pildis (nn makroskoobis), ning millised on need sammud, mida sellel teel astuda.
Kursuse ametlik nimetus "Makroskoopilised meetodid kultuuri analüüsis (HVEE.04.016, 1 EAP)" ("Macroscopic Methods for Culture Analytics")
3. sept kl 16-18 Medium Small Data and the Challenge of the Digital Humanities
4. sept kl 14-16 A pipeline approach to the Digital Humanities
4. sept kl 16-18 Macroscopic Approaches to Culture Analytics: Lessons from Computational Folkloristics
5. sept kl 14-16 From Print to Machine Actionable Data: Adventures in Scanning, OCR and Data Cleanup
9. sept kl 16-18 People, Places, Stories: Data Structures and Intellectual Structures
10. sept kl 16-18 Labeled, Unlabeled and Patterns at Scale: Machine Learning and the Humanities
11. sept kl 16-18 Mapping Folklore: Historical GIS and the New Historic-Geographic Method
12. sept kl 16-18 Facebook for Vikings: Social Network Analysis in the Humanities
13. sept kl 14-16 Future Directions: AI, Deep Learning and Culture Analytics
Loengud toimuvad inglise keeles.