Open Data Day Hong Kong 2017

Open Data Day 2017 will be 4th March. We organises a hackathon in Hong Kong with a organising committee.

Open Data Day Hong Kong 2017

Date: 4 March 2017, Saturday.
Time: 10:00 – 18:00
Venue:
Classroom G5217 & P4704, 5/F Academic 1, City University of Hong Kong, Kowloon Tong.
(Hackathon at G5217, Roundtable at P4704)

Please register on Eventbrite.

Eventbrite: https://opendatadayhk2017.eventbrite.hk/
Facebook Event:
https://www.facebook.com/events/154862401625387/
Facebook Page: https://www.facebook.com/opendatadayhk/
Open Data Day Offical website: http://opendataday.org/

Tentative Schedule
10:00 Reception and Networking (Classroom G5217)
10:15 Introduction and Team Forming (Classroom G5217)
11:00 Start of team works / discussions (Classroom G5217 / P4704)
16:00 Open Data Roundtable with Guests (Classroom P4704)
17:00 Team Presentation (Classroom P4704)
18:00 Closing (Classroom P4704)

Venue Sponsor: CityU App Lab

Roundtable discussion of open data with guests (4-5pm) (Classroom P4704)

– Hon. Charles Mok 莫乃光 立法會議員 (資訊科技界)
– Hon. 姚松炎 Edward Yiu 立法會議員 (建築、測量、都市規劃及園境界)
– Hon. Chung-Tai Cheng 鄭松泰 立法會議員 (新界西選區)
– Dr. Ray Cheung, Cityu Apps Lab.
(Modarator: Dr. Haggen So, Hong Kong Creative Open Technology Association)

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

What’s Open Data Day ?

Open Data Day is an international open data hackathon. It is a gathering of citizens in cities around the world to write applications, liberate data, create visualizations and publish analyses using open public data to show support for and encourage the adoption of open data policies by the world’s local, regional and national governments.

Volunteers at Open Data Day 2017

Sammy Fung, Pili Hu, Nicholas Yau, Nini Liu, Calvin Tsang, Henry Law, Terry, Bastien.

Past of Open Data Days in Hong Kong

Open Data Days were hosted in Hong Kong in 2014 and 2016.

Projects & Teams at Open Data Day 2017

1. OpenSource Farming in STEM  Education

https://farmbot.io/ ( OPEN-SOURCE CNC FARMING MACHINE ),
http://openag.media.mit.edu/hardware/ (The Food Computer is a controlled-environment agriculture technology platform that uses robotic systems to control and monitor climate, energy, and plant growth inside of a specialized growing chamber. )
 by hacking the farmbot or food computer student would know how to manipulate machines with crops and gain sense of fulfillment during the process
2. Project Suggestion: Mapping Water Pollution in China
China’s ministries and various grass-root organizations are regularly publishing water quality indicators at hundreds of locations and at various frequencies (pH, DO, COD at weekly, monthly or yearly intervals). The project could consist in collecting this data, build geo+time series from various sources, map them, interpolate if need be, identify relevant trends or ways to analyse this information. If time allows it, correlations with industrial/agricultural production, wastewater discharge or precipitation could be tested.
3. Project Suggestion: RacismWatch:HK. Post-fact era fact checker.
With certain politicians, political parties, and media groups talking of “fake refugee” crime surges  and the need for HK to build internment camps and pull out of the convention against torture we need a rational, evidence based debate on this issue. Unfortunately Hong Kong is a data vacuum, and the supposed crime statistics parroted don’t seem to be publicly available. Using AccessInfo (FOI) requests  we’ve managed to gather a lot of inconsistent data from the Hong Kong police at the District and Region level. This project needs help to fill in some of the gaps in this data, as well as help in organising, presenting and disseminating it for public consumption. We then need help presenting and visualising this data in a form that can easily produce infographics broken down more granularly by district, crime, etc. Which will be a useful tool in assisting rational, evidence based response to this issue in Hong Kong.
4. CY Leung’s Corpus
Preserve a corpus of all CY Leung’s speeches during his tenure as chief executive.
5. Traffic accident in HK
project suggestion: traffic accident visualisation and prediction
2009 to 2017
Objective: Data Cleansing, Visualization, Prediction
6. Analysing Trump’s Tweets
 
Team members: Luna Zhao (LZ), Yuqiong Li (LL) and Yiming Li (EL)
Data set: Trump Twitter Archive (http://www.trumptwitterarchive.com/about)
 
Data cleaning (EL), some basic data formatting and summary (EL) as well as data visualisation (word clouds — LL; interactive graphs — LZ) is conducted to analyse Donald and Ivanka Trump’s tweets.
 
Future work may include integrating more data (e.g. Trump’s speeches), further data visualisation, sentiment analysis and creating a “Trump-bot”.
  
The presentation slides could be downloaded via: http://web.hku.hk/~liym1018/docs/ttweets.pdf
7. List of societies in Hong Kong
The HK Police stores a list of all registered societies (38,000+) of Hong Kong, but in PDF format with watermarks. Transforming all these data in to a SQL database can help analyse and visualize all the findings (eg. Distribution of Chinese-related societies, do the societies share the same address, etc).
Future Work:
Integrated with other datasets such that existing SQL database have more dimensions.

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