Tag: open data

Symposium|Fall Symposium on Digital Scholarship 2018


Time: October 25, 2018 (Thursday)

Venue: AAB 201, Academic & Administration Building, Hong Kong Baptist University

Language: English

Online Registration: here

Welcome to join us!



Guest Speakers


Senior Program Officer, Andrew W. Mellon Foundation


Assistant Professor, English Language and Literature, National University of Singapore


Consultant, Radica Systems Limited

Internal Speakers


Head, Department of History, Hong Kong Baptist University


Research Assistant Professor, Department of Social Work, Hong Kong Baptist University


Professor, Department of Music, Hong Kong Baptist University


Lecturer, Department of Journalism, Hong Kong Baptist University

Six-Hour with Geeks: A Glance into Hong Kong Open Source Movement

Loads of imagination about programming has been running helter-skelter in my mind before I step into the spacious and well-polished Spectrum studio on the 11th floor of an office building at Sheung Wan in this bright Saturday morning. As someone who has been concentrating only on courses about liberal arts since senior school, I always consider coding as something far away from my daily life.

But today, Chico Xu, Ivy Wang and I, as student reporters, are going to take a glance into this sophisticated business which we once thought was irrelevant to the lives of us and the lives of many, but which actually is, and to a large extent.

The event we are attending is called the Global Pandas Documentation Sprint, a worldwide event held simultaneously in more than 300 countries on March 10, 2018, aiming at improving this Python library’s documentation with clearer explanations and better examples, and trying to leave, at the end of the day, with the library enhanced “in a perfect state,” as put by its official website.

The Global Pandas Documentation Sprint was held simultaneously in more than 300 countries around the world.

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Key Takes from Jessica Lo’s Sharing on ODD-HK 2018 about Government Data Portal

Open Data Day is an annual celebration of open data all over the world. In the year of 2018, more than 400 cities simultaneously organise hackathons on Mar 3. According to one Hong Kong organiser, Bastien Douglas, most local organisers of ODD are government affiliates. In Hong Kong, communities like OSHK and ODHK lead the organisation every year. One highlight for ODD-HK-18 is the talk from Jessica Lo, the system manager from OGCIO responsible for the open data portal: data.gov.hk

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Earthquakes in Southeast Asia in 50 years

Summary: We used API (Application Programming Interface) as the source to extract data from the USGS database in order to analyze the last 50 years and estimate the frequency of earthquakes in Southeast Asia. With the help of Python, the extracted data was exported into CSV file for categorizing different parameters such as by country, magnitude and year.


Application programming interface (API) is commonly used to extract data from a remote website server. In layman term, API is used to retrieve data or information from another program. There are several websites such as Facebook, the USGS, Twitter, Reddit, which offer web-based API helping get information or data.

In order to retrieve data, we will send requests to the host web server where you want to extract the data and tweak parameters like URL in the module to connect to the server. Different websites have different requests format and can easily be accessed through the host’s website.

In our module, we will be extracting the data of earthquakes that hit Southeast Asia in the last 50 years from the web server of USGS using API.

One of the most frequent natural disasters on planet earth is earthquake. The sharp unleash of energy from Earth’s lithosphere generates seismic waves which lead to sudden shaking of the surface of the Earth. This natural disaster has led to the death of thousands of millions of people all around the world.

The strength of earthquakes is measured through Richter magnitude scale or just magnitude. The magnitude is the scale which ranges from 1-10.

The most highly sensitive region in the world prone to the earthquakes are Southeast Asian countries. To find the trend in the region, we extracted 50 years data from USGS by using API and convert the numbers into CSV file through Python coding for a comprehensive understanding of earthquakes situation in Southeast Asia.

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【轉載注】特朗普自從上臺以來,一直是媒體和學者關注的焦點。這位「推特治國」的總統,不僅極具話題性,也伴隨着豐富的數據集。這無疑是政治新聞報道中,非常適合數據驅動報道的議題。這篇文章來自兩位港大的同學,初稿形成于 Open Data Day Hong Kong 2017 的黑客松,由 Initium Lab 編輯和發表。轉載此文有兩個契機。一是 Open Data Day Hong Kong 2018 將于3月3日在港大舉行,屆時全港的開放數據行動者、公民科技愛好者、記者、學者、市民將匯聚一堂,發起專案,並在一天的時間內做出原型。部分項目組會在活動之後繼續研發,形成出色的數據應用或者數據報道。這篇文章是一個經典的案例,無論從選題、數據搜集/分析/可視化,還是項目執行,都極具代表性。黑客松讓不同背景的參與者,在高壓下腦力激盪、通力合作,可以很高效地找到有趣的選題,並做出原型。而將原型轉化爲最終作品,往往會花上數倍于黑客松現場的時間,並且需要專業技能的介入。希望通過這篇文章,讓正在努力學習 Python、R、Javascript 的傳播同學看到一種可能性——獨行者最速,衆行者最遠。轉載的第二個契機是,最近NBC發出了有關俄羅斯在Twitter上虛假帳號的數據集和報道。特朗普的崛起讓大量精英階層感覺到是一記耳光,他們慌了,不斷苛責媒體和社交網絡。究竟俄羅斯有沒有從中作祟?作用有多大?爲什麼特朗普的支持者如此之多,但民調竟沒發現?是隨機誤差還是系統誤差?這些疑問會在很長一段時間內不斷閃現,而人們熱衷於各種蛛絲馬跡。可以說,盯住特朗普、盯住Twitter總會有用不完的數據,寫不完的故事。這篇文章是很典型的文本分析于可視化,用R完成,可借鑑處頗多。


美國新晉總統唐納德·特朗普(Donald Trump)以其極端言論在一眾政客裡獨領風騷。端Lab曾於2016年撰文分析特朗普與其競選對手希拉里·柯林頓(Hillary Clinton)面對媒體採訪時不同的言論風格,發現特朗普發言多用簡單句型,且善於用第二人稱敘事獲取觀眾共鳴。

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Lightning News from Public Data Sets

It is time to break-down the broad concept of “data journalism”. When talking about the combination of data and news, we usually refer to two processes, sometimes conducted in an integral manner. One process is to discover news points from datasets. The datasets can provide a lead for further investigation. The final product does not necessarily reflect the usage of data. It may look the same as normal news products mainly composed of interviews and photos. This is called “data mining” in the science domain. Another process is to present news points using data. There come to all kinds of charts and interactive/ immersive presentations. This is called “data visualisation” in the science domain.

Let’s focus on the “data mining” part in this article. That is to discover news from datasets, or more precisely discover a news lead from datasets. The further development of the entire news story may take much more efforts with a combination of traditional and modern methods. For easier discussion, we treat “news” in the general form: something the audience does not know before reading, a.k.a, something that “appears new”. It could be the status update of a current affair, or it could be the “new knowledge” to the readers (probably be “common knowledge” to experts which we don’t want to waste time debating).

As advocated by the “Road to Jan”: the most profound theory takes the simplest form. As a first step, we try not using programming, or even sophisticated spreadsheet skills. One can readily find some “news” with a bit “nose for news” and be computer literate is good enough. In this article, we will demo a few news points mined by our undergraduate students from Hong Kong government data portal: https://data.gov.hk . It took around 20 minutes in the second class of a data journalism course. We start with a public dataset from the portal, check out the data tables and eyeball if there is anything interesting. The process is so quick that we would like to give it a brand name: Lightning News. One can sharpen his/her news sense and data sense by doing this as daily exercise.

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Call for participants: Working with Civic Exchange, Covering Hong Kong Open Space

Screenshot: Carine Lai’s presentation on “Unopened Space”

Civic Exchange (思匯政策研究所,“CE” hereafter, a think tank) would like to collaborate with HKBU JOUR to make series of investigative reports on the issue of open space in Hong Kong. Basically, CE will share several datasets, and provide guidance on how to harvest other public data and how to interpret it, whereas the student teams will conduct reporting on this theme. Data journalism and data-driven storytelling are potential formats.

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Workshop recap: Use Arduino to Collect Water Quality Data

1. What is the workshop about?

The Computer Science department and Data & News Society have invited Shan He, a Guangzhou-based civic scientist as well as the project director of Chinese NGO Greenovation Hub, to hold a workshop on harvesting water quality data through simple chemical test kits and DIY water monitoring device for environmental investigation on the 18th of January, 2018. A dozen of mixed students from computer science and journalism background and some interested citizens attended and worked in groups.

Ms. Shan He
Shan He, a Guangzhou-based data scientist, as well as the project director of Chinese NGO Greenovation Hub and science community Public Lab, held the workshop on DIY water monitoring.

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My First Application of FOI in Hong Kong

It was new for me when I heard anyone can acquire almost any data from HK government for legitimate reasons under that Code on Access to Information.

This code is a response to the notion of “FOI” (For Our Information; Freedom Of Information), which calls for citizens’ free access to government information so that the transparency of government management can be ensured and citizen rights can be protected.

According to Wiki, In 2006, nearly 70 countries went through relative legislation. Among these laws are USA’s FOIA (Freedom of Information Act) and, of course, Hong Kong’s Code on Access to information.

Despite the code in place, a practical question remains. Will those government officers fulfill their duty and do give reply to every single data request? So I decided to give a try on Accessinfo.hk.

Accessinfo.hk is a website positioned as a platform for citizens to post their information requests to authorities and receive feedback. It was initiated by a group of Open Data activist, including Guy Freeman, who is currently data scientist in HK01. The website publishes every question and answer to everyone, and, at the same time, monitors the process. Before localizing the Alaveteli system ( http://alaveteli.org/ ) to Hong Kong, its sister site WhatDoTheyKnow ( https://www.whatdotheyknow.com/ ) had already seen wide application in the United Kingdom.


Screenshot: accessinfo.hk

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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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