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How close are we to the end of the world? The Doomsday Clock, set up by ‘The Bulletin of the Atomic Scientists’, is a metaphor that symbolises humanity’s proximity to catastrophe. The clock has been set to 90 seconds before midnight in early 2023, indicating that we are closer to self-destruction than ever before. As the unprecedented climate change is one of most prominent driving forces pushing the Doomsday Clock forward, we must brook no delay in averting its catastrophic impacts. The application of Artificial Intelligence (AI) in monitoring climate change and developing carbon reduction solutions might be the new way out to reverse the Doomsday Clock.
For instance, utilising AI to trace carbon footprints can help pave the way for a sustainable value chain; improving the speed and accuracy of weather forecasts with AI can help us act promptly in cases of extreme weather; tracking and monitoring endangered species in the wild using AI can help us make timely and targeted interventions in conserving nature and biodiversity. With creativity and innovation, we can harness the potential of AI, bringing hope for a sustainable future.
To enhance students’ understanding on AI and climate change, Hong Kong Education City (EdCity) and Microsoft jointly organise ‘Master Code 2022/23’ Competition with the theme ‘Envisage the Climate Blueprint with AI’. Students are encouraged to apply their programming skills creatively, design a practical strategy or solution for a sustainable climate blueprint. Act now and become a visionary leader to unlock endless possibilities for our future!
Objective
- To enhance students’ awareness of climate change and strengthen their knowledge on strategies of mitigating and preventing climate change taken by different nations, especially on the application and development of AI in preventing extreme weather conditions and achieving the sustainable development.
- To empower teachers and students from primary and secondary schools to acquire knowledge about data-driven solution, AI and machine learning.
- To encourage students to unleash their creativity and apply coding skills in the process of designing their work.
- To raise public awareness of the impact and application of AI in real-life situations, especially in improving the natural environment through awarded entries.
Divisions
- Primary School Division (P1 – P6) – Minecraft Education
- Secondary School Division (S1 – S6) – Minecraft Education
- Secondary School Division (S1 – S6) – AI Application Design
Rules & Regulations
- There is no limit on the number of participating teams for each school. Each team should consist of 2 to 4 students; each student can join only one team in each division.
- Each participating team must first conduct research on the current applications of how AI tackles climate change, then advance and iterate an existing product or solution based on the references, and submit a practical strategy or solution with testing data and performance as support. Participating teams may consider the following areas for their design:
■The application of AI in mitigating carbon emission and carbon neutral;
■The application of AI in preventing natural disasters caused by extreme weather conditions;
■The application of AI in maintaining biodiversity and environmental sustainability;
- Requirements of each division：
■Minecraft Education Division: participating team should design and present the strategy / solution using ‘Minecraft: Education Edition’ and it is optional whether to apply your own Resource Pack and/or Behaviour Pack. It is also optional to demonstrate models built by Microsoft Azure AI module;
■AI Application Design Division: participating team should design a prototype developed from at least one Microsoft Azure AI capability embedded to demonstrate proficiency of applying AI.
- Finalists will be shortlisted, and the finalists must prepare a presentation for judging in May by the judging panel.
- Each team can only submit one entry.
- All entries must be original and not be published in other occasions before. By submitting an entry, the participant warrants that the entry neither contains any third-party copyrighted materials nor infringes any intellectual property rights of any third parties. Participants should also ensure that the content does not include obscene, violent, religious, political, or other inappropriate content. Entries with any violation will be disqualified without prior notice.
- By submitting an entry, the participant indicates to have read and accepted the Rules & Regulations of the competition.
- The Organiser owns the copyright of the awarded entries.
- The Organiser reserves the right to announce and publish the winners’ names and photos for promotional purposes.
- By submitting an entry, the participant authorises the Organiser to display and publish the entry for publication or promotional purposes during or after the competition, without the need to obtain separate consent or pay any fees. The Organiser reserves the right to amend and/or cancel the activities and the Rules & Regulations without prior notice.
- In case of any disputes, the decision of the Organiser shall be final.
Organisers
Strategic Partners
Programme Partners
Supporting Organisations
Winners
Minecraft - Primary School Division
| Award | Title | School Name | Team Members |
| Champion | 智新綠島 | St. Anthony’s School | 陳泳綝, 凌琛 |
| First Runner-up | AI 產能園- AI Power | S.K.H. Tsing Yi Estate Ho Chak Wan Primary School | 梁諾行, 周嘉謙, 黃若喬 |
| Second Runner-up | 隨波逐流偵測易 | The Education University of Hong Kong Jockey Club Primary School | 馮萌樂, 蘇柏謙, 吳天朗, 李忠信 |
Merit Awards | 氣候環保節能城市 | Leung Kui Kau Lutheran Primary School | 呂卓霖, 曾懷德, 梁子瑜 |
| 風暴緊急避難所 | Leung Kui Kau Lutheran Primary School | 李軼謙, 梁境祐, 李樂之 | |
| ECO Tree | Tak Nga Primary School | 孔允菁, 莊梓, 關容悅 |
Minecraft - Secondary School Division
| Award | Title | School Name | Team Members |
| Champion | 濕地保護園區 | Raimondi College | Poon Man Kuk Chloe, Nui Ching Lam |
| First Runner-up | Our future green city | HKUGA College | Law Lok Fung Hannes, Lee Pui Lam, Tang Sui Ping |
| Second Runner-up | Natural Hazards are worsen by Global Warming | C.C.C. Ming Yin College | Kwok Sui Hin, Tam Yui Chi, Wong Bing Wan Andrew, Sun Rong Yu Ronnie |
| Merit Awards | 智然留聲 | Carmel Pak U Secondary School | 甄旨永, 劉星雨 |
| 未來世界 | Tung Chung Catholic School | Wong Kevin, Yeung Ho Lam | |
|
低碳城市 |
Tung Chung Catholic School | Wong Hiu Yan, Chan Yuek Nam, Ng Long Hei, Fu Hiu Tin |
AI Application Design
| Award | Title | School Name | Team Members |
| Champion | Plant Disease Detector | S.K.H. Tsang Shiu Tim Secondary School | Lu Ho Leung, Lam Wing Ting, Chan Oi Ching, Cheng Hoi Kiu |
| First Runner-up | GrEatify | S.K.H. Tsang Shiu Tim Secondary School | Tong Chun Yin, Lo Tsz Hin, Cheuk Isabelle Wing Ki, Wong Yuk Ka |
| Second Runner-up | HAHAHA 笑蝦哈 （AI Shrimp farming） | Ho Yu College and Primary School (Sponsored by Sik Sik Yuen) | 林笑緣, 周琸珽, 許天政 |
| Merit Awards | AI環保小幫手 | Po Leung Kuk No.1 W.H.Cheung College | Cheung Lok Sum, Wong Qi Luo, Wu Joe |
AI Challenge – Weather Forecasting Competition
To deepen students’ understanding on Artificial Intelligence, EdCity, Microsoft, Hong Kong Observatory and Hong Kong Meteorological Society jointly organise the ‘AI Challenge – Weather Forecasting Competition’ for Secondary school students.
Students will utilise machine learning and AI-driven data to predict the weather, which further enhance their problem-solving skills, at the same time cultivate their awareness on climate change and sustainable development.
Objectives
- To empower teachers and secondary school students to make use of machine learning/deep learning in AI
- To let students experience on how to solve real life problem using AI
- To enhance students’ awareness of climate change and involve them to shoulder the responsibility for driving sustainable development of our globe
Target
- Secondary School Students
Rules & Regulations
- Each school can form two participating teams maximum, and each team should consist of two to five students. Each student can only participate in one team.
- Deadline of Enrolment: 29 June, 2023
- From 03 to 07 July (updated) 2023, the participating teams need to submit the hourly temperature forecast from 12 noon to 11 pm at Tai Mo Shan for each day (i.e. 12 data per day, 60 data altogether).
- Participating teams need to submit:
- The hourly temperature forecast from 12 noon to 11 pm at Tai Mo Shan for each day (i.e. 12 data per day, 60 data altogether)
- Submission Time: Daily forecast can be submitted from 12:00 noon on the day before to 10:00 am on the forecast day. (E.g. submission period of the forecast of 03 July: 02 July 12:00 noon to 26 June 10:00 am)
- The submitted forecast temperature at Tai Mo Shan is in degree Celsius, good to 0.1°C）
- Each team can submit once only per day, no changes can be made after the submission.
- An introductory PowerPoint (within ten slides) AND an introductory video (within three minutes) ON OR BEFORE 07 July (updated) 23:59 to elaborate how machine learning / deep learning of AI is used in deducing your results for this forecasting competition
- Submission of any entry indicates that the participant has read and accepted the Rules & Regulations of the competition.
- The Organisers own the copyright of the awarded entries.
- The Organisers reserve the right to amend and/or cancel the activities as well as the Rules & Regulations without prior notice.
- In case of any dispute, the Organisers reserve the right of final decision.
The below data will be provided to the participants:
- Hourly temperature, humidity, wind speed and direction, rainfall amount from 14 HKO automatic weather stations (AWS) of the past 10 years
- Hourly temperature data from the specific location for a certain past period
- Hourly data from the 14 HKO AWS
- Hourly data from Tai Mo Shan
Participants can also use other data from HKO website, MyObservatory mobile app, or any other open data or information from the Internet.
Winners
| Award | School Name | Team Members |
| Champion | Queen Elizabeth School | Wong Chun Yat, Hui Pok Shing, Wong Pui Yan, Lam Tsz Fai |
| First Runner-up | Carmel Pak U Secondary School | Luo Yuen Yik, Lee Sze In, Yan Yue Hang Enoch, Lam Long Hei, Cheung Ka Ki |
| Second Runner-up | CCC Ming Kei College | Chan Yu Shing, Lau Chun Lok, Chan Katy |
| Pui Tak Canossian College | 于天雅, 屈妍希, 陳雅盈, 區慧儀, 沈珈同 | |
| Merit Awards | S.K.H. Tsang Shiu Tim Secondary School | Chung King Sum, Cheung Pak Him |
| Tuen Mun Catholic Secondary School | 嚴穎茵, 巫智穎, 何朗曦, 韓婥雯, 吳梓新 | |
| S.K.H. Tsang Shiu Tim Secondary School | Tong Chun Yin, Lo Tsz Hin | |
| Cheung Sha Wan Catholic Secondary School | 張凱量 , 何本正, 陳昊暘, 林思宏, 譚俊陞 | |
| C.C.C. Ming Yin College | Chan Ka To Alan, Chan Sheung Chi, Li Man Kwan, Lin Tat Chiu, Siu Shi Tin | |
| Notre Dame College | 林國麟, 張善衡, 余梓軒, 馮禧朗, 蔡偉豐 |
Organisers
Co-organisers