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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.

https://docs.google.com/presentation/d/1yOZdTb_YeucPKh3koNa4v7qR38w5Pm8aKtKdGJ9pcmo/pub?start=false&loop=false&delayms=60000&slide=id.g1ecb38630f_0_5

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/

Presentation: https://www.dropbox.com/s/pdb5qshu4rso2vm/opendatadaySCE.pptx?dl=0

CY Leung's Corpus

Preserve a corpus of all CY Leung's speeches during his tenure as chief executive.

Traffic accident in HK

https://hackpad.com/Open-Data-Day-2017-nvZoya6TYx1

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

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.

Volunteers

We are looking for volunteers