JournalismAI Collab Challenges 2021 for Media Organisations in EMEA Regions

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We are excited to announce that JournalismAI will host the Collab Challenge in EMEA in partnership with BBC News Labs and Clwstwr.

Application Deadline: 11th April 2021

About the Award: At JournalismAI, we believe that collaboration has a key role to play in defining how AI technologies can support journalism. In 2020, we turned that belief into a collaborative experiment joined by more than 20 news organisations worldwide. Now, it’s time to get to the next level.

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Today, we can announce that our 2020 pilot programme – the JournalismAI Collab – is evolving: Welcome to the 2021 JournalismAI Collab Challenges.

The Collab Challenges are a new series of collaborative experiments that bring together media organisations to explore innovative solutions that improve journalism via the use of AI technologies. The Challenges will see teams of about 5 media organisations work together for around 6 months in collaboration with academic labs and R&D partners. Together, they will co-design prototypes of new products and methods, and produce innovative coverage of news stories or issues, with the support of AI.

Three Collab Challenges start in Spring 2021 across the world:

  •  One team of ~5 media organisations in the Americas: GMT –7 to –3
  •  One team of ~5 media organisations in Europe, Middle East and Africa (EMEA): GMT 0 to +4
  •  One team of ~5 media organisations in Asia-Pacific (APAC): GMT +5 to +11

Each team will develop its work independently and focus on a different aspect of the journalism process – but teams will also have the opportunity to exchange ideas and perspectives

Type: Contest

Eligibility:

Collab Challenge in EMEA: Modular Journalism

We are excited to announce that JournalismAI will host the Collab Challenge in EMEA in partnership with BBC News Labs and Clwstwr.

BBC News Labs is a cross-functional team that develops, prototypes and tests new ways to serve the audiences and journalists of BBC News.
Clwstwr is an ambitious R&D programme to create new products, services and experiences for screen and news in South Wales by putting innovation at the core of media production.

The Challenge will focus on: How might we use modular journalism and AI to assemble new storytelling formats?

If your organisation is interested in participating, you can find out more about it in this One-Pager. The link to the application form is included in the ExplainerApplications close at 11:59 PM GMT on April 5th. DEADLINE EXTENDED: Applications close at 11:59 PM GMT on April 11th.

If you have any questions before deciding whether to apply, you can join the dedicated Q&A session on March 29th at 1:00 PM GMT. Send an email to [email protected] with subject line “EMEA Collab Challenge” to express your interest and receive the access link.

Collab Challenge in the Americas: Newsgathering Techniques

We are equally proud to announce that JournalismAI will host the Collab Challenge in the Americas in partnership with the Knight Lab at Northwestern University.

The Knight Lab, based at Northwestern’s Medill School of Journalism, Media, Integrated Marketing Communications, is a community of designers, developers, students, and educators working on experiments designed to push journalism into new spaces.

The Challenge will focus on: How might we use AI technologies to innovate newsgathering and investigative reporting techniques?

If your organisation is interested in participating, you can find out more about it in this One-Pager. The link to the application form is included in the Explainer. Applications close at 11:59 PM GMT on April 5th. DEADLINE EXTENDED: Applications close at 11:59 PM GMT on April 11th.

If you have any questions before deciding whether to apply, you can join the dedicated Q&A session on March 29th at 4:00 PM GMT. Send an email to [email protected] with subject line “AMERICAS Collab Challenge” to express your interest and receive the access link.

  • It is important to go through all application requirements in the Award Webpage (see Link below) before applying.
  • GOODLUCK

Visit Award Webpage for Details