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Workshop Data Journalism (2024/2025: Period 3)
Course aim
1. Collect, analyze and visualize (open)data for journalistic purposes;
2. Understand the role and function of data and investigative journalism in democratic and non-democratic settings;
3. Write journalistic content with the support of data;
4. Leverage data analysis to report, tell and produce stories for general audiences.
Course content
As society continues to increasingly rely on digital platforms for news, the demand for accurate and ethical reporting has also skyrocketed. This lab provides the foundational knowledge, and equally, an opportunity for students to understand, embrace and critique modern ways of data-driven journalistic reporting. Students will acquire data-aided storytelling techniques, investigate and produce news stories using big data sets, visualizations and infographics.
Additional information
Priority rules apply to this course! Please check the step-by-step course registration plan on our website for more information on when and how to register for this course.
The following students are guaranteed a place:
• BA Media en cultuur / Media and Culture 3rd year and further;
• BA CIW 3rd year and further;
• BA TCS or LAS 3rd year and further;
• pre-master’s students.
Other students will be placed by means of random selection.
Instructional formats
Explanation
During the Utrecht Data School Practicum, students learn how they can collect and analyse data. Students work under supervision of researchers experienced in digital methods. The practicum introduces different forms of data analysis and visualisation, providing the basic tools for digital humanities.
Preparation
Students are expected to get timely access to the relevant software packages and to bring their laptops to classes. Self study and practice is necessary.
Examination
Essay
Required | Weight 40% | ECTS 3
Journalistic essay leveraging data (group work)
See course syllabus
Portfolio
Required | Weight 60% | Minimum grade 5.5 | ECTS 4.5
Several written assignments.
To be announced.
Entry requirements and preknowledge
Entry Requirements
No data about mandatory entry requirements is available.
Preknowledge
We expect no prior knowledge, but we expect enthusiasm for digital methods.
Languages
- English
Course Iterations
Related studies
Exams
There is no timetable available of the exams
Required Materials
No information available on the required literature
Recommended Materials
-
READERTo be announced on Blackboard.
Remarks
Priority rules
Coördinator
dr. B. Mutsvairo | b.mutsvairo@uu.nl |
Lecturers
J.J. Bakker | j.j.bakker@uu.nl |
dr. B. Mutsvairo | b.mutsvairo@uu.nl |
Enrolment
Enrollment
From Monday 4 November 2024 up to and including Friday 22 November 2024
Late enrollment
From Monday 20 January 2025 up to and including Tuesday 21 January 2025
Enrollment closed
Permanent link to course page
Show in the Course-Catalog