DPO holds Hong Kong/Shanghai Co-operation Open Data Challenge 2025 Send-off Ceremony for Hong Kong delegation (with photos)
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     ​The Digital Policy Office today (August 18) held the Hong Kong/Shanghai Co-operation Open Data Challenge 2025 Send-off Ceremony for the Hong Kong delegation. Addressing the event, the Acting Commissioner for Digital Policy, Mr Donald Mak, highlighted the potential for collaboration between Hong Kong and Shanghai in data application. He also extended his blessings to the teams competing in the upcoming Final Judging in Shanghai.
      
     Following the first judging, 13 teams from various enterprises and institutions in Hong Kong have advanced to the Final Judging. These finalists will depart for Shanghai on August 26 to compete alongside finalist teams from Shanghai, vying for a place among the top-four finalists and the Grand Award of the competition.
      
     The teams representing Hong Kong in the Final Judging are as follows:
 
Category Team name Solution
Smart Environment Carbonauts Carbon Monopoly
Smart Environment Avian Guards A GeoDataGPT-based Collaborative Planning Solution for Bird-Friendly Urban Development and the Low-Altitude Economy in Shanghai & Hong Kong
Smart Environment Territory North Group Hong Kong Environmental Database
Smart Environment MotoNerv Limited MotoNerv Video Understanding AI
Smart Mobility Metro Maestro Passenger Route Choice Simulation
Smart Mobility NeoWing Full-Domain Digital Twin-Based UAV Precision Delivery System
Smart Economy Ascendsure Ascendsure
Smart Economy Glotradex.com Glotradex.com
Smart Economy Innovative Trade Team A Scheme for Peer Monitoring and Differentiated Competition Strategy Formulation Based on Big Data
Smart Living iHomely iHomely
Smart Living Petalife Pet Bioinformatics Pre-Diagnosis Identification Technology
Smart Living Geo-Air-Information-Nexus (GAIN) Geo-Air-Information-Nexus (GAIN)
Smart Living Recognition Neuroscience Limited Devices, Systems, and Methods for Assessing and Modulating Neurological Conditions
(Ranking in no particular order)

     Mr Mak also highlighted that Hong Kong and Shanghai launched the inaugural competition in 2023 to actively promote collaboration on data application. This initiative aims to further unleash the multiplier effect of data elements, enhance the exchange of data, technology and talent between the two cities, as well as empower socio-economic and innovative developments in both cities. He further expressed his wishes for the Hong Kong teams to excel in the Final Judging by showcasing their diverse and innovative data application solutions.
      
     During their visit to Shanghai, the Hong Kong delegation will showcase their innovative solutions to the Mainland technology industry at the competition's exhibition. They will also participate in roadshows and business matching events to further explore business opportunities and unlock the value of data elements. In addition, the delegation will visit several leading innovation and technology organisations to deepen their understanding of Shanghai's latest advancements in cutting-edge fields, including AI, large models, blockchain and new energy vehicles, thereby fostering deeper collaboration between Hong Kong and Shanghai in the development of digital economy.
      
     The Hong Kong/Shanghai Co-operation Open Data Challenge 2025 commenced in Hong Kong in April this year with the Final Judging set to take place in Shanghai this month. Themed "Co-creating a Data Industry Platform for the Two Cities", the competition aims to encourage participants from Hong Kong and Shanghai to integrate open data sets from both cities to develop more innovative applications and promote the synergistic development of a smart city and digital economy in both cities. Selected entries may be nominated for the national 2025 "Data Element x" competition organised by the National Data Administration and relevant departments. Details of the competition are available on the thematic website (eng.hkshadata.org/).

Ends/Monday, August 18, 2025
Issued at HKT 18:08

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