Past

Data-driven film industry research

Date & Time

23/10/2024 1:15 pm – 2:45 pm

Vejune Zemaityte

Baltic Film, Media and Arts School (BFM)

Dr Vejune Zemaityte is a Senior Research Fellow in Film Data Analytics at the Baltic Film, Media and Arts School (BFM), Tallinn University, Estonia. Vejune uses data analysis and visualisation techniques, including network analysis, to study global screen industries. She researches film production, theatrical film distribution, film festival circuit, public service television, and historical newsreels. Vejune is particularly interested in diversity, including cultural and thematic content diversity, as well as gender diversity in media production and distribution. Her work is interdisciplinary, data-driven, and industry-facing, often performed with large research teams and in collaboration with industry partners. She currently engages across multiple international projects: Increasing the International Competitiveness of the Film Industry in Small European Markets (CRESCINE), Public Value of Open Cultural Data, ERA Chair for Cultural Data Analytics (CUDAN), and European Universities Alliance for Film and Media Arts (FILMEU).

About the Event

Vejune focused on computational methods and network analysis to study cultural, thematic, and gender diversity in media production and distribution. She introduced different concepts of diversity, including variety, balance, and disparity. In a particularly valuable “behind-the-scenes” segment, she shared her experiences in publishing this type of research, offering advice on how authors can convince editors and reviewers of the validity and usefulness of novel, underutilized methods.

Watch the recording

Sign up to our seminars calendar

When you sign up, we’ll email you a link to the Data Methods Initiative Events Calendar Feed, where you can access Zoom links and stay updated on all future seminars.
You can also subscribe to our newsletter to receive detailed information, event reminders, and the latest news about our initiative directly in your inbox.
Your data is safe with us—we’ll never share it with anyone else. You can unsubscribe from our emails anytime by using the link in our emails.
For more details, check out our Privacy Notice.

This field is for validation purposes and should be left unchanged.
Name(Required)
Which emails would you like to receive?(Required)

Get in touch

Contact us to join the initiative

©2024 - Data Methods Initiative.