Date & Time: 26 - 27 April 2022 19:00-21:00 PM (UTC+8)
Format: Online and Onsite

April 26 2022 (UTC+8)
  • 19:00-19:30
    Welcoming Remarks & Introduction
    Opening Remarks by Presidents of BRICS Academies of Sciences
  • 19:30-20:00
    Keynote Speeches

    Big Data in Facilitating Sustainable Development Goals
    Guo HuadongDirector General, International Research Center of Big Data for Sustainable Development Goals
    Sustainable Development Model for Big Data Technologies
    Arutyun I. AvetisyanDeputy President, Russian Academy of Sciences

  • 20:00-20:10
    Release of the Sustainable Development Data Products for BRICS Countries
  • 20:10-21:00
    Invited Remarks

    Cheng Jingye Ambassador, Ministry of Foreign Affairs, China
    Shahbaz Khan Director, UNESCO Beijing Office
    Barend MonsPresident, Committee on Data for Science and Technology
    Barbara Ryan        Executive Director, World Geospatial Industry Council
    Markku Tapio Kulmala        Academician, Academy of Finland
    Monthip Sriratana        Director, Climate Change Research Strategies Center, National Research Council of Thailand

April 27 2022 (UTC+8)
  • Parallel Session
  • 19:00-20:20
    Parallel Session 1:Big Data in Support of Food Security and Poverty Alleviation

    "Eradicating poverty" and "No hunger" are the primary goals of the United Nations Sustainable Development Goals and humankind's common aspiration. Sustainable food production effectively addresses global challenges, such as climate change and land degradation as well as the prerequisites for poverty eradication, as the basis for achieving food security. International cooperation is an important means for achieving the goal of global zero hunger. Tracking, monitoring, and evaluating the sustainability of food production and its temporal and spatial changes is an important means of addressing the problem of poverty. Currently, there is a data gap in the monitoring and evaluation of food production and a lack of global poverty assessment and attribution. Relying on big data, conducting the cross-integration of multidisciplinary models, and condensing multidisciplinary data is an important way to form comprehensive solutions around sustainable food production, ensure food security, and achieve poverty reduction in multiple fields and at multiple levels.

    Parallel Session 2: Big Data in Support of Digital Economy: Policies, Experiences and Challenges

    In the future, the digital economy will be the engine of global economic growth and a new economic form, following the agricultural and industrial economies. It is based on information technology and industry and considers data as the key production factor, the network as the carrier, and the application of information technology as the key driving force. The development and utilization of big data as a new data source will infuse new vitality into the digital economy. The development of a digital economy and its deep integration with the real economy will promote the industrialization of digital science and technology and the digitization of industry, accelerate the construction of a modern industrial system, and usher the human economy and society into a new stage of economic development.

    Parallel Session 3: Big Data in Support of Sustainable Urban Development

    Cities, as the nodes and centers of human society's economic, cultural, and political systems, should pay attention not only to the coordination of their system structure and function but also to their leading role in sustainable development and the impact on the overall system, especially in the era of economic globalization. Routine statistics and census data have poor spatial completeness, are not real time, and vary in data quality, resulting in relatively low spatial and temporal resolution of urban sustainability assessment results, questioned reliability and timeliness. Big data is critical for overcoming the deficiencies of traditional statistical data in the assessment of urban sustainable development. It can provide a new impetus for urban sustainable development assessment with its macro, dynamic, and diverse advantages, which can provide support for sustainable urban development in terms of data products, technical methods, case analysis, and decision support.

    Parallel Session 4: Big Data in Support of Climate Actions and Disaster Reduction

    Climate change is a long-term problem that mankind will have to confront. For the impacts caused by climate change, particularly extreme weather and climate events, how to accurately monitor extreme climate events and disasters, monitor and evaluate disaster processes in real time, and provide strong data and scientific support for climate change response and disaster prevention and control has become a major scientific question that must be addressed urgently. The majority of existing research on relevant disaster indicators is limited by the lack of spatial data and multilevel analysis, making it difficult to form guidance and early warning for disaster risk reduction. Big data is conducive to reducing the uncertainty of research and evaluation results and can meet the urgent needs of scientific data to conduct climate change and disaster risk research with a high degree of synergy and integration. It can effectively monitor climate extremes and disasters on a large scale, mitigate climate change threats, and provide decision support for improving human adaptive capacity.

    Parallel Session 5: Big Data in Support of Biodiversity Conservation

    Biodiversity is an inseparable material basis for human social and economic development, and big data provides an important channel for a comprehensive understanding of biodiversity. Massive species distribution data bolsters biodiversity conservation and research, significantly advancing research on biodiversity conservation planning, the response of biodiversity to global ecosystem changes, the form of large-scale biodiversity patterns, and the forecast of alien species invasion, etc. Currently, significant progress has been made in the use of big data to draw biodiversity maps as well as to combine niche models and artificial intelligence models to identify species. In the future, it will investigate the establishment of a sound scientific data exchange and sharing system and promote the output of key biodiversity achievements within the paradigm of big data scientific research to better serve biodiversity conservation.

  • 20:20-20:25


  • Closing Ceremony
  • 20:25-20:50
    Parallel Sessions Summaries by Co-Chairs from Each Session

    Big Data in Support of Food Security and Poverty Alleviation

    Wu BingfangProfessor, Aerospace Information Research Institute, Chinese Academy of Sciences

    Big Data in Support of Digital Economy: Policies, Experiences and Challenges

    Gong KeProfessor, World Federation of Engineering Organizations, China

    Big Data in Support of Sustainable Urban Development

    Huang ChunlinProfessor, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences

    Big Data in Support of Climate Actions and Disaster Reduction

    Sara VenturiniClimate Coordinator, Group on Earth Observation Secretariat

    Big Data in Support of Biodiversity Conservation

    Ma KepingProfessor, Institute of Botany, Chinese Academy of Sciences

  • 20:50-21:07
    Concluding Remarks

    Guo HuadongChair, Organizing Committee of the Forum, China

  • Closing Remarks by Representatives from BRICS Academies of Sciences

Copyright :International Research Center of Big Data for Sustainable Development Goals