Program


The event will be divided into two parts:

(1) Training courses will be held at the "Planet M", a conference center located at the Expo Plaza Hanover from February 12th to February 15th.

Directions to the location

(2) The 1.75-day workshop conference will take place at the “Leibnizhaus”, a conference center in the historic city of Hanover on February 15th and 16th.

Directions to the location

Training courses

Monday (February 12th)

11:00 am – 01:00 pm Training course “Learn R” Planet M (Directions)
01:00 pm – 02:00 pm Lunch Break Planet M
02:00 pm – 06:30 pm Training course “Learn R” Planet M
07:30 pm Get Together Hafven (Directions)

Tuesday (February 13th) & Wednesday (February 14th)

09:30 am – 01:00 pm Parallel training courses: Planet M
Network Analysis
Statistical Analysis Of Large Data Sets
Web Scraping & Data Management
Automated Content Analysis
Topic Modeling
01:00 pm – 02.00 pm Lunch Break Planet M
02:00 pm – 05:30 pm Parallel training courses (see above) Planet M

Thursday (February 15th)

09:00 am – 11:30 am Parallel training courses (see above) Planet M

Workshop Conference

Thursday (February 15th)

12:30 pm – 02.00 pm Lunch Break Leibnizhaus (Directions)
02:00 pm – 02:30 pm Welcome and Introduction to the Roadmap Event Leibnizhaus
Welcoming speech of the organizing team Prof. Dr. Christoph Klimmt (Hanover University of Music, Drama and Media, Germany)
Welcoming speech of the director of the Department of Journalism and Communication Research Hannover Prof. Dr. Helmut Scherer (Hanover University of Music, Drama and Media, Germany)
Welcoming speech of the board of the German Communication Association Prof. Dr. Eva Baumann (Hanover University of Music, Drama and Media, Germany)
02:30 pm – 03:30 pm “Access and Availability of Big Data Resources for Communication Research(ers)”: Part 1 – Panel Discussion and Presentation Leibnizhaus
Panelist Dr. Gregor Wiedemann (University of Hamburg)
Panelist Maximilian von Grafenstein (Humboldt Institute for Internet and Society)
Panelist Dr. Markus Stocker (German National Library of Science and Technology)
Moderation Jun.-Prof. Dr. Annie Waldherr (University of Münster)
03:30 pm – 04:00 pm Coffee Break Leibnizhaus
04:00 pm – 05:00 pm “Access and Availability of Big Data Resources for Communication Research(ers)”: Part 2 – Interactive group session and concluding discusion Leibnizhaus
Moderation Daniel Possler (Hanover University of Music, Drama and Media, Germany)
05:00 pm – 06:00 pm “Big Data and Research Ethics”: Part 1 Leibnizhaus
Keynote Dr. Jan-Hinrik Schmidt (Hans Bredow Institut)
07:30 pm Social Dinner Al-Dar (Directions)

Friday (February 16th)

09:00 am – 09:15 am Introduction to day 2 Leibnizhaus
09:15 am – 10:30 am “Big Data and Research Ethics”: Part 2 – Interactive group session Leibnizhaus
Moderation Dr. Sabine Reich (Hanover University of Music, Drama and Media, Germany)
Moderation Dr. Jan-Hinrik Schmidt (Hans Bredow Institut)
10:30 am – 11:00 am Coffee Break Leibnizhaus
11:00 am – 12:30 am “Arranging interdisciplinary collaboration” – Panel Discussion Leibnizhaus
Panelist Prof. Sandra González-Bailón, Ph.D. (University of Pennsylvania)
Panelist Prof. Dr. Wolfgang Nejdl (University of Hannover)
Panelist Prof. Dr. Axel Bruns (Queensland University of Technology)
Moderation Prof. Dr. Hanna Schmid-Petri (University of Passau)
12:30 pm – 01.45 pm Lunch Break Leibnizhaus
01:45 pm – 02:30 pm “Combining Big Data and Conventional Methods” Leibnizhaus
Keynote Prof. Noshir S. Contractor, Ph.D. (Northwestern University)
02:30 pm – 04:00 pm “Crafting the Strategic Roadmap for Computational Methods in Communication Science” – Part 1: Interactive group session Leibnizhaus
Moderation Dr. Julia Niemann-Lenz (Hanover University of Music, Drama and Media, Germany)
Moderation Prof. Dr. Leonard Reinecke (Johannes Gutenberg University Mainz)
02:30 pm – 04:00 pm “Crafting the Strategic Roadmap for Computational Methods in Communication Science” – Part 2: Keynote Leibnizhaus
Keynote Prof. Dr. Jan Kleinnijenhuis (Vrije Universiteit Amsterdam)
04:30 pm Coffee Break Leibnizhaus

DOWNLOAD

To download the full program as printable PDF, please click the following button: