Sharjah Ruler attends launch of ‘Best Arabic Silent Book’ award category

LONDON, 13th March, 2019 (WAM) — H.H. Dr. Sheikh Sultan bin Muhammad Al Qasimi, Supreme Council Member and Ruler of Sharjah, has attended the launch of the ‘Best Arabic Silent Book’ category of the Etisalat Award for Arabic Children’s Literature.

Sheikha Bodour bint Sultan Al Qasimi, Vice President of the International Publishers Association, IPA, and Honorary President of UAE Board on Books for Young People, UAEBBY, was also present.

Marwa Al Aqroubi, UAEBBY President, unveiled the details of the new category, adding that it is an alternative to the ‘Best Electronic Application’ award category. The prize amount is AED100,000 and will be distributed 40 percent to the publisher and 60 percent to the artist, or split equally between the artist and the thought-creator behind the publication.

The launch of the Arabic silent book (books without words) category, reflects one of UAEBBY’s objectives to enhance the imagination of children and young people via the use of images.

WAM/Nour Salman/MOHD AAMIR

Avatar

WAM

About Author

In November 1976, the United Arab Emirates agreed to set up the Emirates News Agency, WAM, to communicate news and information about the nascent state. On 18th June, 1977, WAM began to fullfil its professional mandate by transmitting UAE news to the rest of the world, covering all aspects of its political, economic and social development. The data on this website is federated through WAM.AE RSS Feeds. This website is not affiliated with WAM and you are requested to always view the latest articles and updates directly from the source website.

You may also like

ADFF Introduces New Award for Environmental Films

  • Sep 09, 2011
WAM Abu Dhabi, Sept. 6th, 2011 (WAM) -- The Abu Dhabi Film Festival (ADFF), organized by Abu Dhabi Authority for

DCL analyzes thousands of food and environmental samples

  • Sep 09, 2011
Tue 06-09-2011 22:08 PM WAM Dubai, Sept. 6th, 2011 (WAM) -- Food and Environment Laboratory Section of Dubai Central Laboratory