Category: Event

Workshop | Harvest water quality data for environmental investigation — DIY monitor with Arduino

Data is the key for environmental investigation and monitoring. However it is very hard for ordinary citizens to get access to. Let water quality be example, which is associated closely with our daily life. When serious environmental disasters break out, with limited information disclosure from government, general public can hardly know the truth in time. The motivates us to organise this workshop that enables you to make DIY monitoring devices with open technology.

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Hong Kong Data Journalism Bootcamp 2018

DNNers, Happy new year!

We are pleased to announce a 3 days data journalism bootcamp at the end of January. This is an intensive training to get you onboard this fascinating battle ship in the new media ocean. You will spend a fruitful weekend with 60 students from all Hong Kong higher education institutions. The event adopts a “startup weekend” format and features hands-on experience. Friday evening will see an overview of data journalism and team formation. Teams can work at any time from Friday evening all through Sunday afternoon to finish a data journalism project. Saturday is composed of three structured workshops including data collection/ preprocessing, descriptive statistics and data visualisation. Sunday morning will see some industry practitioners/ community contributors sharing tips/ pointers to further broaden the horizon of participants. Most training sessions are optional and attendees can pickup the preferred skills as needed.

Event overview:

  • Date/Time: Jan 26 (Fri) evening to Jan 28 (Sun) afternoon
  • Venue:
    • Day 1 (Fri): Cheng Yu Tung Building (100m from MTR University Station)
    • Day 2 (Sat)/ Day 3 (Sun): Learning Garden, G/F, University Library, CUHK
  • Audience: Students in Hong Kong higher education institutions
  • Cost: FREE (with HK$ 200 deposit)

Links:

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From graphic designer to data visualisation specialist – A sharing from Will Su

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.

Event information:

  • Date: Jan 12 (Fri), 2018
  • Time: 11:30am – 12:10pm
  • Venue: Room 1024, Communications and Visual Arts Building, HKBU

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Data News of the Week | e-waste in Hong Kong

Cover photo credit: Monitour Project

We have a special edition for DNW this week dedicated to e-waste in Hong Kong. The notes are derived from a seminar plus brainstorm session with researchers from CUHK, HKBU, PolyU, Lingnan U, activists from Land Justice, Open Data Hong Kong, CODE4HK. This is a quick note from memory, so evidence/ statistics/ figures quoted in this note need further verification before you use them. There are enough pointers for the reader to go back the source and find direct contacts.

The news points to follow

E-waste refers to the abandoned Electric and Electronic Equipments (EEE). With the booming of ICT industry, we are witnessing more and more e-waste these days. Why should you care? Let’s cut through the news points first:

  • 75% e-waste is disappeared, as Green Peace estimates. It collects data of EEE production and calculates expected e-waste according to the lifespans of devices. Comparing this with the e-waste collection data from formal government bodies, we can see a 75% gap, meaning those are lost track
  • 97.7% e-waste in Hong Kong goes to unknown channels (figure in 2009; may change due to new recycling plant; government is trying to increase supervised channels). This may signal a large number of illegal operation, but not necessary all illegal.
  • Hong Kong used to import a large volume of e-wastes given the loophole in the legislations. Those e-wastes went to mainland China for processing. The export to China was disrupted at 2015.
  • Yards/ factories/ workshops that collect, process and dump e-wastes exist in many remote locations in Hong Kong, especially New Territory. Those locations are not easily accessible, protected by “private lands” and “gangs”, as put by Land Justice investigators.
  • Many workers in those yards are illegal immigrants, for example from mainland and South East Asia. They usually work without proper protective measures.

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Recap of Oct 2017 Data Journalism Bootcamp in HKBU

The 2-day Data Journalism Boot Camp was successfully held in HKBU on Oct 26 and Oct 27. The event was sponsored by KAS and the workshop sessions were led by two experienced trainers from DataLEADS. Another highlight of the event was a roundtable discussion chaired by Prof. Ying Chen, where professionals shared their practices, challenges and solutions in the newsrooms.

Data Bootcamp in Oct 2017

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Data Journalism Boot Camp in Hong Kong

Dear all,

We are honoured to introduce you a one and a half day Data Journalism Boot Camp in Hong Kong.

Location (Map): Room 506, 5/F, Communication and Visual Arts Building (CVA), Hong Kong Baptist University. 

Time: Oct. 26 (Thursday) 9am-5pm & Oct. 27 (Friday) 9am-3pm.

Interested applicants should fill in the online form in this (deadline for applications to be 13 Oct.) link: https://www.surveygizmo.com/s3/3864735/Data-Journalism-Hong-Kong

The workshop will be run by a pair experienced trainers from DataLEADS including the founder and Editor-in-Chief of the Indian Centre for Investigative Journalism.

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哥大資料視覺化大師 Soma 在浸會大學的密技分享

(This is a repost from initiumlab.com by Chia ni Liu, click the link to read the original: 哥大資料視覺化大師 Soma 在浸會大學的密技分享)

Data Journalism 是一門極大的學問,從搜集資料、清理、修正、分析、到找到好故事的過程中大概有幾百種可以學的技能或是知識。在有限的時間和精力下,哥倫比亞大學著名的大師 Jonathan Soma 建議記者至少學好設計,使用適當的手法呈現資料,讓讀者能在最短的時間內吸收資訊。那麼資料視覺化都有哪些機密呢?

核心觀念:

  1. 越多的資料想要呈現,讀者能接收到的資訊越少。
  2. 站在讀者的角度思考,只專注在讀者需要知道的資訊上。

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交流學習@台灣

近日,受國立臺灣大學和國立政治大學的邀請,香港浸會大學新聞系數據新聞項目的5名同學代表,帶著自己的數據新聞作品到台北參加了为期2日的交流學習。

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(香港浸會大學和國立政治大學的同學合影留念。)

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(香港浸會大學和國立臺灣大學的同學合影留念。)

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Open Data Day 2017 Hong Kong Hackathon

Open Source Hong Kong

Saturday, 4 March 2017 from 10:00 to 18:00 (HKT)

Kowloon Tong, Hong Kong SAR China

Pls register at Eventbrite and visit Hackpad to add your open data hack ideas.

Please bring your laptop, laptop charger, power extension bar to attend ODD. For those who will present your project at the end of ODD, please also bring your VGA adoptor.

Eventbrite: https://opendatadayhk2017.eventbrite.hk
Hackpad: https://opensourcehk.hackpad.com/Open-Data-Day-HK-2017-QvQ2MhnhJE6
Facebook Event: https://www.facebook.com/events/154862401625387/permalink/244902289288064/
Open Data Day Offical website: http://opendataday.org
Email Enquiry: webmaster@opensource.hk

International Open Data Day in 2017 will be 4th March. Size is 60 participants.
Tentative Schedule
10:00 Reception and Networking
10:15 Introduction and Team Forming
11:00 Start of team works / discussions
16:00 Open Data Roundtable with Guests
17:00 Team Presentation
18:00 Closing
Venue Sponsor: CityU App Lab
Open Data Day 2017 HK Organising Committee is formed from the following communities and supporters.
– Initium Media
– Open Data Hong Kong
– Open Source Hong Kong
Pre-event Workshop – Python 101 intro & web scraping
Date & Time: 28 February 2017, Tuesday (20:00 – 21:30)
Venue: Classroom B5-209, 5/F Academic 1, City University of Hong Kong, Kowloon Tong.
Workshop Registration – https://oddhk17-scrapy.eventbrite.hk

Data & Design with Jonathan Soma at Hong Kong Baptist University

At the first Data & News Society Colloquium of 2017, Jonathan Soma, from Columbia Journalism School, shared his ideas on Data and Visual Design in Journalism on Feb.20th.

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(Photo by Bobo WEI)

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