Objective To put forward some suggestions for the improvement of the evaluation system of Shenzhen Industrial Park of Shenzhen-Hong Kong Innovation Cooperation Zone by studying the scientific research project evaluati...Objective To put forward some suggestions for the improvement of the evaluation system of Shenzhen Industrial Park of Shenzhen-Hong Kong Innovation Cooperation Zone by studying the scientific research project evaluation and management system of Japan Agency for Medical Research and Development(AMED).Methods Through literature review,lessons were drawn from the review and management policies and methods of biomedical projects implemented by Japan AMED.Then some reference was provided to the review and management of the projects in Shenzhen Industrial Park.Results and Conclusion A basic review framework has been set up in Shenzhen Industrial Park,which consists of scientific research management institution of Shenzhen Industrial Park,Third-Party Review Institution and Science Committee.However,there are three problems in this system:unclear selection criteria of review experts,insufficient supervision and lack of project evaluation standards.These problems can be solved by establishing an expert think tank,setting up graded project supervisors to have the dynamic monitoring,and developing a general evaluation scale for evaluating scientific research projects in Shenzhen Industrial Park.展开更多
Wild-caught seafood is an important commodity traded globally.As elimate change and socioeconomic development is affecting global marine capture fisheries,the impact on regional supply remains unexplored,especially fo...Wild-caught seafood is an important commodity traded globally.As elimate change and socioeconomic development is affecting global marine capture fisheries,the impact on regional supply remains unexplored,especially for areas like Hong Kong relying on global trading to meet high seafood consumption.However,it is challenging to assess the global marine capture fisheries production using complex process-based models.In this study,a data-driven integrated assessment approach was developed to evaluate the change of global seafood supply from wild catch.With the catch data available from 1990 to 2014,machine learning models were trained and tested including environmental,socioeconomic,geographic,and technological features to estimate the catch by ocean grid cells for individual species.Nine popular seafood categories in Hong Kong were studied,which include 68 species in total.Important input features for estimating the catch were compared across species and the impacts of these input features were interpreted using partial dependence plots.The global marine wild catch of the 68 species by countries and the export to Hong Kong were projected by 2030 in RCP2.6-SSPi,RCP4.5-SSP2,RCP7.0-SSP3,and RCP8.5-SSP5.Performances of machine learning models demonstrate the reliability of data-driven methods to estimate the catch by ocean grid cells.The importance of geographic features rank top for the estimate while that of climate change and socioeconomic development varies significantly across species.The projection reflects a drop of squid exported to Hong Kong due to the reduction of squid supply from China's mainland during 2015-2019.The export of wild-caught seafood of the nine categories to Hong Kong willhave a slight decline by about 16%from the 2020 level by 2030.The projection also suggests no significant differences among the four climatic-socioeconomically interrelated scenarios regarding the export to Hong Kong before 2030.Top producers include China's mainland,United States,and Japan.However,China's mainland and Japan will suffer from the decline.The data-driven integrated assessment approach can be improved to provide more insights into the long-term change and sustainable management.展开更多
基金Shenyang Philosophy and Social Science Planning Fund(SZ202001L)Social Science Planning Fund of Liaoning Province(L19BGL03)。
文摘Objective To put forward some suggestions for the improvement of the evaluation system of Shenzhen Industrial Park of Shenzhen-Hong Kong Innovation Cooperation Zone by studying the scientific research project evaluation and management system of Japan Agency for Medical Research and Development(AMED).Methods Through literature review,lessons were drawn from the review and management policies and methods of biomedical projects implemented by Japan AMED.Then some reference was provided to the review and management of the projects in Shenzhen Industrial Park.Results and Conclusion A basic review framework has been set up in Shenzhen Industrial Park,which consists of scientific research management institution of Shenzhen Industrial Park,Third-Party Review Institution and Science Committee.However,there are three problems in this system:unclear selection criteria of review experts,insufficient supervision and lack of project evaluation standards.These problems can be solved by establishing an expert think tank,setting up graded project supervisors to have the dynamic monitoring,and developing a general evaluation scale for evaluating scientific research projects in Shenzhen Industrial Park.
基金supported by the Hong Kong University of Science and Technology startup,and the Guangdong Basic and Applied Basic Research Foundation(2019A1515010828).
文摘Wild-caught seafood is an important commodity traded globally.As elimate change and socioeconomic development is affecting global marine capture fisheries,the impact on regional supply remains unexplored,especially for areas like Hong Kong relying on global trading to meet high seafood consumption.However,it is challenging to assess the global marine capture fisheries production using complex process-based models.In this study,a data-driven integrated assessment approach was developed to evaluate the change of global seafood supply from wild catch.With the catch data available from 1990 to 2014,machine learning models were trained and tested including environmental,socioeconomic,geographic,and technological features to estimate the catch by ocean grid cells for individual species.Nine popular seafood categories in Hong Kong were studied,which include 68 species in total.Important input features for estimating the catch were compared across species and the impacts of these input features were interpreted using partial dependence plots.The global marine wild catch of the 68 species by countries and the export to Hong Kong were projected by 2030 in RCP2.6-SSPi,RCP4.5-SSP2,RCP7.0-SSP3,and RCP8.5-SSP5.Performances of machine learning models demonstrate the reliability of data-driven methods to estimate the catch by ocean grid cells.The importance of geographic features rank top for the estimate while that of climate change and socioeconomic development varies significantly across species.The projection reflects a drop of squid exported to Hong Kong due to the reduction of squid supply from China's mainland during 2015-2019.The export of wild-caught seafood of the nine categories to Hong Kong willhave a slight decline by about 16%from the 2020 level by 2030.The projection also suggests no significant differences among the four climatic-socioeconomically interrelated scenarios regarding the export to Hong Kong before 2030.Top producers include China's mainland,United States,and Japan.However,China's mainland and Japan will suffer from the decline.The data-driven integrated assessment approach can be improved to provide more insights into the long-term change and sustainable management.
