Editorial AI

Do you ever experience some of these situations and/or feelings during your work:

• We’ll never be able to read all of these documents.
• What’s unique about this text compared to all the rest?
• My eyes sting from searching these images for the same thing.
• We need to find more records like these in a huge pile of data.
• I could use a heads-up before this happens again. 

If you do, applying machine learning to your job might be an interesting option. And nowadays that is no longer expensive, too far-fetched or a complex affair. 

This course is for every journalist and professional in media who is curious to discover what she/he can do with artificial intelligence for journalistic tasks.
No programming experience or advanced math skills required.

Whether it concerns spotting signs of corruption in documents, recognizing distribution centres in Europe based on satellite imagery, or analyzing sentiments in comments on thousands of articles; Through this course, you will find out how you can do this type of work faster using readily available tools and systems. 

• You will build and train a machine learning model for image and/or text classification yourself, using free software and tools from the International Consortium of Investigative Journalists (ICIJ), Microsoft and Google.
  
• You learn to determine which opportunities machine learning offers and which dangers it presents; for journalism, for your organisation and within your editorial team and/or your own activities.

• You will receive a step-by-step guide to apply machine learning in your work.

• You will learn to use basic theory, common terminology and vocabulary when it comes to artificial intelligence -AI- and in particular machine learning, to better understand and analyze existing applications, and for holding algorithms to account.

• You will be experimenting with ready-to-use AI-powered tools such as Pinpoint, Datashare and Descript.

By attending this course you immediately create a toolbox for machine learning and form an archive of knowledge for further self-study.

Participation in this three-day online course costs €799,- (excluding VAT, 21%). There will be a furnished Google Classroom with all slides, assignments, videos, examples, practice data and other useful resources. It will also remain available to participants after the course has ended.

Time investment
Take into account an extra 6-8 hours of self-guided tasks & preparation.

In addition to active participation on the three course days (2 × 3 hours a day, from 9:30 AM – 4:30 PM), we ask each participant to take the time to read professional literature, carry out (homework) assignments and to find available data and prepare it.

The course can be flexibly planned for newsrooms, with room for a max. of 10 participants.

We start our course days at 9:30 am – 12:30 pm and from 1:30 pm – 4:30 pm.
This being a hybrid course, it can take place in-person an online.

Note: Days 2 and 3 are usually not consecutive. This with regard to the time needed to train and optimize your first algorithms, and for homework; your preparation for Day 3.

Download this PDF with all information about the course, including the programme per day.

If you have questions about this course? Please don’t hesitate to reach out.
Mail: Laurens at laurens@futurejournalismtoday.com
or call: +31652055691