- Objective of AQHI : Highlight Health Risk to the Public.
- Uncertain whether public heeds the health risk angle.
- Reaching out to public for ideas on how to better reach the public.
- Objective : Educating the public on the importance of biodiversity
- Method : Disseminating information (publications of books pamphlets, posters, newsletters)
- Method : Activities (Education, Exhibition and Information Signs)
- Method : IT (Mobile Apps, Social Media, Thematic Website
- HKbiodiversity.net, HK BioDiversity Database
- *Promise : Species list available as an XLS file
- Community Weather Observations
- HKO operates over Automatic Weather Stations in HK
- 2011 : Community Weather Observations Scheme (CWOS), involving schools and individuals. Community Engagement : Co-Win, Facebook
- Challenge : Handling Big Data, Making the data useful, recruiting weather ambassadors.
- 2013: 2 million enquiries, 340.000 complaints handled.
- tellme@1823, first 'transactional mobile app' of the HKGov.
- App Features : SeeClickFix incorporating Microphone, GPS and Camera data.
- 2011 <, 65K Downloads
- Contemporary Government:
- Government doesn't exist in a bubble
- Government isn't a black bow
- Government can be a platform for development
- Data Flow: Government vs Public Data, Government vs Public Use
- Data Openness :
- Collaboration
- Analysis
- Matching Innovation with Technology:
- Innovation (search, publishing, sharing, dynamic sites)
- Technology (tools, DBs, standards)
- Government (openness, and transparency)
- Open Data conditions match the previous three points.
- Discoverable (If it can be found, it can be accessed)
- Structured (If it can be found, it can be accessed)
- Unconditional (there should be no limits on use)
- Case Study : OpenAirLondon, Open Data Index.
- Civic Hacker movement is flourishing around the world
- Examples : Budget, NorthEast, Gazetteer
- Code4HK as a platform, engaging a community of volunteer developers.
- Prediction on health impacts of air pollution - but need data from both HA and HKO.
- Intro to the AQHI and its shortcomings
- Visualised the AQHI, was built in just 1 hour.
- Showcase : BeaconHub, wikibeadon.org/map.
- US Gov presents its data with a formula to convert the data into 'colour ratings'
- Built an app that translates the API (Air Pollution Index) into global index
- CLP & HKE have stations that only report once a month - we need it public, so EPD can double its coverage. Same for the Airport.
- SafeCast.org, crowd sourced radiation monitoring.
- Air Quality Monitoring Network.
- Objectives:
- Understand air pollution problems to develop cost effective solutions
- Assess Compliance to Targets
- Air Science Laboratory:
- Maintenance & Development
- QC & QA
- Data Processing & Management
- Also measure toxicity levels and acid rain in some of the stations.
- Presented Data Flow of AQHI Reporting System
- Showcased web properties and mobile app
- Overview of AQHI, Health Advice.
- How to improve the current AQ practice with emerging technologies.
- Reason why this is important because pollution 3 (home, air and smoke) out of top 10 are responsible for diseases.
- Expanded the question of AQ to movement of people, transport issues and urban design
- 'Huge discrepancy between the data you can get, compared with the places you have been'
- Existing solutions don't cover enough area/ isn't personalised enough, the 'citizen sensors' don't provide reliable enough data, that's why we are aiming to build smaller, but reliable measuring stations.
- Research is being done on building a low-cost CO_2 monitor.
- Motivating students to be engaged in science and make them ambassadors of good air quality and science
- "make quality data engage the next generations"
- Application: 2015 Green Marathon AQHI project
- Application: Personalised Air Monitoring (AQ monitoring on the go, with GPS data)
- Application: Bus Platform for Sensor Network (Identify Air Pollution Hot Spots in the City)
- Future: Roadway network and transport control.
- Low Cost sensors form interconnected network
- Traffic Data and Air Data Integration
- Realtime transport control to reduce public exposure.
- Beijing spending 100 Million RMB to forecast street-level pollution levels.
- "Different people have different responses to pollutant particles"
- Personalised Regression Analysis for Forecasting
- Air Quality is highly variable per location
- Proposal : A Trip Exposure Assessment System
- Realtime data : AQHI & API
- University has 400 TB of Environmental Data, but are looking to the EPD to permit the data being shared/opened.
- Air Pollution Decision Support System (APDSS)
