Smart City Ideation Challenge (submission is now closed)

To deepen the use of artificial intelligence (AI) for digital transformation, AI Singapore is excited to launch the Smart City Ideation Challenge with the aim of seeking insights from the global AI community on “What are the AI problems worth solving towards Smart City Sustainability?”

The problem statements are expected to be:

1) Impactful to the digital economy, and

2) Feasible to develop into AI challenges

We seek proposals under 2 categories towards building resilience and optimising resources in the digital economy:

• Spam & Misinformation: The problem statements under this category should explore how to leverage AI for fast detection and intervention of misinformation or phishing attacks in multilingual and/or multimodal settings.
• Sustainability & Carbon Neutrality: The problem statements under this category should investigate how to utilise AI for the recovery of local resources from major waste streams, including electronic, plastic and food wastes.

Eligibility

• Any individual who is at least 18 years of age can form/join a team to submit a proposal
• A team can comprise 1 to 5 members
• An individual can be on no more than TWO teams
• A team can submit no more than ONE proposal per category

Submission Guideline

Your proposal should contain the following components:

• Problem statement
  Please give a description (no more than 300 words) of the problem to be solved and its scope.
• Value proposition
  Please describe (no more than 300 words) how the proposed problem impacts industry needs and/or the socioeconomic needs of Singapore.
• Existing solutions
  Please describe (no more than 500 words) existing solutions in the market and/or state-of-the-art research findings for the identified problem.
• Dataset construction
  Please propose a detailed plan (no more than 500 words) on how to construct a dataset for solution development, including possible data sources, dataset schema, size, characteristics, etc.
• Evaluation metrics
  Please describe (no more than 500 words) the evaluation metrics to assess potential solutions to the identified problem, including judging criteria, weight, and justifications.
• Feasibility analysis
  Please analyse (no more than 500 words) the feasibility of using the proposal to harvest meaningful AI solutions and describe what some potential solutions might be.

Evaluation Criteria

Submitted proposals will be reviewed by a panel of experts based on the following criteria:

• Research quality
  i.e., problem impact, relevance, novelty, and robustness
  
• Competition quality
  i.e., the feasibility and readiness to turn the proposal into a meaningful AI challenge (refer to Kaggle competitions for quality)
  
• Presentation quality
  i.e., understandability, accuracy, completion, clarity, and neatness

Post evaluation, up to SIX finalists (up to three per category) will be announced and invited to give an in person 15-minute final pitch presentation on the Smart City Day of WSDM. The winners will be ranked and awarded at the event, according to the scores provided by the judging panel and the live audience based on the above criteria. 

DATE	MILESTONE
12 October 2022	Open for Proposal Submission
21 December 2022	Proposal Submission Deadline
15 January 2023	Announcement of Finalists
17 February 2023	Final Presentation Submission Deadline
3 March 2023	LIVE Final Pitch & Award Ceremony (Hosted on Smart City Day of WSDM 2023)

Please refer to the Terms & Conditions for the rules and guidelines. For more information or assistance, please contact: AIXI@aisingapore.org

Prizes

• The selected finalists will compete for the following prizes in each category:
  • 1st Prize: US$2,000
  • 2nd Prize: US$1,000
  • 3rd Prize: US$500
• Finalists will be provided with one free full registration per team to attend the WSDM-23 conference
• To be eligible for prizes, the finalists have to present their proposals during the WSDM-23 Smart City Day on 3 March 2023

Finalists

We are pleased to announce the 6 finalists:

Spam and Misinformation
– “Fake news detection via cross-platform information tracing” by Z. Chen and S. Mehta
– “Multilingual Misinformation Detection in Low-Resource Domains with Conversation-based Reasoning” by H. Lin and M. Cheng
– “Online Misinformation Detection in Live Streaming Videos” by R. Cao

Sustainability and Carbon Neutrality
– “The Case for AI in Food Waste” by D. Lee, W.Y. Teo, A. Saw, J. Lim and W. Feng
– “Automatic domestic solid waste sorting system with multiple sensors” by Y. Zhao, X. Lu, Z. Jin, W. Tan and J. Li
– “The Smart Software Application for Food and Beverage Businesses” by C. Ng and J. Quek