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London School of Economics and Political Science (LSE) AI Academy for Small Newsrooms

A 6-week programme to help small newsrooms leverage the power of artificial intelligence

This FREE online programme offers a deep-dive into the potential of artificial intelligence to journalists and media professionals from small newsrooms.

It is designed by the JournalismAI team at the London School of Economics and Political Science (LSE) and powered by the Google News Initiative.

The Academy is a 6-week online programme that starts in September 2021 and, in its first pilot edition, it is designed for 20 participants from small news organisations (fewer than 50 employees) in the EMEA region (Europe, Middle East and Africa). 

In line with JournalismAI’s mission to inform media organisations about the potential offered by AI-powered technologies and to foster debate about the ethical, editorial, and social impact of AI on journalism, the Academy aims to support small newsrooms that want to learn how AI can be used to support their journalism.


LSE AI Academy Training

Application DeadlineAugust 1, 2021
TypeTraining
SponsorLondon School of Economics and Political Science (LSE)
GenderMen and Women

Benefits of LSE AI Academy Training

The Academy is FREE for selected participants, thanks to the support of the Google News Initiative, which has been powering JournalismAI since 2019. The programme was inspired by the Product Immersion for Small Newsrooms, an initiative of the Newmark J-School at CUNY, News Catalyst, and the Google News Initiative.

The Academy will take place between September and October 2021. The programme will last six weeks, with each week having a different focus:

  1. Module #1 (16-17 Sept) → Key Concepts and Definitions
  2. Module #2 (23-24 Sept) → Applications of AI in Journalism 
  3. Module #3 (30 Sept – 1 Oct) → Data & Technology
  4. Module #4 (7-8 Oct) → People & Culture 
  5. Module #5 (14-15 Oct) → Risks & Concerns 
  6. Module #6 (21-22 Oct) → From Ideation to Implementation

Requirements for LSE AI Academy Training

The Academy is designed for journalists and media professionals working in small newsrooms (fewer than 50 employees), based in the EMEA region (Europe, Middle East and Africa – GMT 0 to +4), and who are fluent in English. 

The ideal candidate already has a basic understanding of the potential of artificial intelligence and machine learning, and works in a news organisation that has started exploring how to use these new technologies. Candidates with different newsroom titles will be considered but, in the selection process, priority will be given to candidates that demonstrate the ability to influence the strategic adoption of AI in their news organisation to tackle journalistic challenges. 

No coding skills are required to attend the Academy, nor are there any other technical requirements, other than a stable WiFi connection to participate in the live activities. We encourage journalists and media professionals from all backgrounds to apply.

Selection Process

Participants will be informed of the results of the selection process by August 16th.

Application Deadline

August 1, 2021

How to Apply

Interested and qualified? Go to London School of Economics and Political Science (LSE) on docs.google.com to apply

Note

In the application process, we ask for a letter of commitment from the management of the organisation that a candidate will represent at the Academy. If selected, you will be asked to sign a letter of personal commitment, in which you commit to attending all sessions and actively participate in all course activities. 

The Academy is made up of 6 modules over 6 weeks and we estimate the time-commitment to be about 4 hours a week. Each module of the course will include:

  1. Live presentation on Thursday (90 minutes)
  2. Live discussion on Friday (90 minutes)
  3. Assignment to complete individually before the following Thursday (~60 minutes) 
  4. The timing of the sessions will be confirmed during the selection process.

If you have any questions, send us an email at [email protected].


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