Data scraping and experimental evidence in sports management (S)

About the seminar

Participants will grasp foundational concepts of data scraping and its practical applications in the context of sports management. The course guides students in the setup and evaluation of both field and lab experiments, showcasing their pivotal role in advancing knowledge within the realm of sports management. By the course's conclusion, students will not only possess a solid understanding of essential data scraping techniques but also the ability to leverage experimental evidence to enhance decision-making in the dynamic field of sports management. This course equips forward-thinking individuals with the skills to navigate and innovate within the evolving landscape of sports management.

Instructors

Prof. Dr. Helmut Dietl,

In cooperation with:

Cornel Nesseler (University of Stavanger, Norway) and Petr Parshakov (HSE University, Russia)

Contact at the Chair

Dr. Carlos Gomez Gonzalez (carlos.gomez[at]business.uzh.ch)

Application Process

Apply until January 31, 2024 via contacting Carlos Gomez-Gonzalez (carlos.gomez@business.uzh.ch). We will notify students if their application is accepted by February 6, 2024.

The number of participants is limited. In the event of excess demand, we reserve the right to select the participants.

Target group

MA and PhD students

Dates and Times

1. Day: 15.04.2024; 11:00-12:00 (room KO2-F-150)
2. Day: 16.04.2023; 13:00–17:00 (room RAA-E-30EV Workshopraum/Spezialraum
3. Day: 17.04.2023; 13:00–17:00 (room KOL-H-317)
4. Day: 18.04.2023; 13:00–17:00 (room KOL-G-217)
5. Day (Presentations): 19.04.2023; 13:00–17:00 (room KOL-H-317)

Deadline paper submission:

30.04.2024 (23:59)

Syllabus

For more detailed information about the seminar, please  click the syllabus here (PDF, 126 KB)