Workshop Data Journalism

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Cursusdoel

At the end of the course, the student can:
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.

Vakinhoudelijk

Priority rules apply to this course. Make sure you register before 13 November 12.00 noon to be considered for enrollment.
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.

Digital data play a growing role in our society; humans and machines generate more and more data that are stored better and are more often available. This data supply, combined with innovative research methods, offers fascinating possibilities for researchers and students. Utrecht Data School (UDS) is a research platform and a course that offers an inside in the promise and pitfalls of computational methods.

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.

Aanvullende informatie

Let op: Het getoonde timeslot is nog niet definitief en kan nog wijzigen tot 20 september 2023

Werkvormen

Practicum
Toelichting

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.

Voorbereiding

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.

Toetsing

Essay

Verplicht | Weging 40% | ECTS 3

Journalistic essay leveraging data (group work)

See course syllabus

Portfolio

Verplicht | Weging 60% | Minimum cijfer 5,5 | ECTS 4,5

Several written assignments.

To be announced.

Ingangseisen en voorkennis

Ingangseisen

Er is geen informatie over verplichte ingangseisen bekend.

Voorkennis

We expect no prior knowledge, but we expect enthusiasm for digital methods.

Voertalen

  • Engels

Cursusmomenten

Gerelateerde studies

Tentamens

Er is geen tentamenrooster beschikbaar voor deze cursus

Verplicht materiaal

Er is geen informatie over de verplichte literatuur bekend


Aanbevolen materiaal

Materiaal Omschrijving
READER To be announced on Blackboard.

Coördinator

dr. B. Mutsvairo b.mutsvairo@uu.nl

Docenten

J.J. Bakker j.j.bakker@uu.nl
dr. B. Mutsvairo b.mutsvairo@uu.nl

Inschrijving

Deze cursus is open voor bijvakkers. Controleer wel of er aanvullende ingangseisen gelden.

Inschrijving
Van maandag 30 oktober 2023 tot en met vrijdag 24 november 2023

Na-inschrijving
Van maandag 22 januari 2024 tot en met dinsdag 23 januari 2024

Inschrijving niet geopend
Permanente link naar de cursuspagina
Laat in de Cursus-Catalogus zien