Key Dates

Dates Lucerne

Time: Thursday, 16.15-17.45 German time, Duration 1,5 hours

  • Feb 25 - overview & intro

  • March 4 - Griffin lab

  • March 11 - student presentations

  • March 18 - student groupflow presentations and project setup

  • March 25 - project status

  • April 8 - project status

  • April 29 - project status

Dates Cologne & Bamberg

Virtual Setup Meeting

A zoom link will be sent to pre-registered students for this meeting, which is virtual and can be attended from anywhere

  • Tuesday, April 13, 15-16.00 German/9-10.00 AM Boston time (zoom recording)

Block Course

Will be done virtually for both Cologne and Bamberg (information for pre-work given below)

Monday, May 3, 14-17.00

  • Intro

  • Team Project Overview

  • Overview Griffin

  • 12 Presentations Griffin-analysis mailbox + Twitter

Tuesday, May 4, 10-17.00

Wednesday, May 5, 10-14.00


Virtual Meetings

Time: Tuesday, 15-17.00 German/9-11 AM Boston time, Duration 2 hours

Final Paper Due: Aug 13

Pre-Work for Block Course Cologne & Bamberg

  • Read Peter Gloor's new "groupflow" manuscript, and be prepared for in-class discussion in the block course. Choose a topic for presentation in the block course.

  • Complete an online social media analysis on Twitter of your choice with Griffin.

  • Complete a virtual mirroring/e-mail analysis, analyzing your own mailbox with Griffin.

  • Take the personality, ethics, morals, risk taking tests on the Happimeter Web site (FFI, Dospert, Schwartz, Moral, you need to register/login on the Happimeter Website first to be able to take the tests) (this will be needed for later analysis in the virtual mirror).

For Cologne &Bamberg students, in the virtual setup meeting on April 13, the instructors will answer your questions regarding these topics. In the block course, be prepared to present in 3-5 minutes, and using 4-6 Powerpoint slides each, the virtual mirror of your mailbox, and the results of the Twitter coolhunting of your topic of choice.

Here are links to the Hillary_Clinton and Enron E-Mail dataset for analyzing it with Griffin in case you can not access your own mailbox.

Link to intro slide deck