Open Data Day HK 2017
Basic Info
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)
Participant Registration: https://opendatadayhk2017.eventbrite.hk/
Project Registration: *** This Hackpad ***
Languages: ANY! (Cantonese / English / Mandarin are welcome!)
 
Schedule
10:00 Reception and Networking
10:30 Welcome and Team Forming
11:00 Kick-start of hacking / working
16:00 Round Table with Guests & Group Photo
17:00 Start of Team Presentations (3-5 mins for each teams/projects)
18:00 End
 
Teams
Adding your team name and team members
eg. Open Weather API by sammy
 
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
 
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.
 
 
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.
Visualisation of crime data: https://rmporsch.shinyapps.io/crime_in_hong_kong/
 
CY Leung's Corpus
Preserve a corpus of all CY Leung's speeches during his tenure as chief executive.
 
Traffic accident in HK
 
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.