Civic Exchange (思匯政策研究所,“CE” hereafter, a think tank) held a workshop on Covering Open Space 101 Workshop in HKBU on 7 Feb 2018, as a part of the collaboration with HKBU JOUR to conduct a series of investigative reports on open space in Hong Kong. CE’s researcher, Carine Lai and an experienced journalist, Christopher DeWolf, were invited to share their experience and techniques in doing open space research in Hong Kong. After the learning sessions, students tried to use the maps to practice the knowledge learned from the workshop. Here is the recap of the event.
The first principle of making infographics is clearness because infographics are created for sharing, said Marcelo Duhalde, an infographic designer from SCMP as well as his colleague Marco Hernandez, invited by Hong Kong Design Institute on Feb 6.
Photo: Will Su on KANTAR Information Is Beautiful 2017
We have invited Will SU Jiahao, the winner of Information Is Beautiful Award 2017 to share his experience on data visualisation. As someone who entered the data visualisation industry with zero knowledge in neither programming nor statistics, he will talk about how he transitioned from being a traditional graphic designer to a data visualisation specialist within the span of one year. The process involves picking up programming skills and becoming comfortable with both front-end web development and back-end dev ops. He will also touch on the exciting process of visualising data, as well as some of the common questions and obstacles new comers may face, how to overcome them, and progressively acquaint themselves with the work-flow of a web-based data visualisation storytelling piece.
Date: Jan 12 (Fri), 2018
Time: 11:30am – 12:10pm
Venue: Room 1024, Communications and Visual Arts Building, HKBU
Shan HE, Project director of Greenovation Hub, Public Lab Organizer, member of Guangzhou International Dragon Boat team. Living in Changzhou island in Guangzhou, is coming to Hong Kong Baptist University on 11 November to talk about Environment Issue, Open Technology and Data Visualisation.