Exploratory reserach

Intro Wetland Comprehensive Solution Fisheries Clean Water Deepen

Subject

Manage natural resources in a sustainable way

Technological module

Database

Project1

Monitoring Dynamic Change of Wetland

Project carriers

Big Earth Data Science Engineering Project (CASEarth) SDG Working Group

Beneficiaries

The environment itself (flora and fauna, climate, etc.) and human beings (residents around the wetlands, fisheries, tourism, etc.).

Users

Researchers and scientists

Need

The dynamic monitoring of the water bodies in the Ramsar Sites can directly or indirectly reflect the trend of changes and protection effect of the wetland ecosystem (Zheng et al., 2012). At present, there are 171 Contracting Parties to the Ramsar Convention on Wetlands committed to wetland conservation and management. By May 2020, there were 2 391 wetland reserves on the Ramsar Sites List, covering a land area of 2.53Ă—106 km2.
The United Nations Water (UN-Water) has provided datasets related to SDG 6.6.1, including surface water, mangroves, reservoirs, and wetlands, based on the Global Surface Water Explorer (Pekel et al., 2016) and Global Lakes and Wetlands Database (Lehner and Doll, 2004) developed by the Joint Research Centre of the European Commission (JRC). However, there is no direct and comprehensive monitoring and evaluation of the ecological status of Ramsar Sites. The dynamic change of the water bodies in Ramsar Sites has a direct impact on the ecological environment of such reserves.

Principle

This case study selected 86 representative inland Ramsar sites and their corresponding 51 basins in Asia, Europe, and Africa. The overall trend of changes in the water bodies and the inter-annual trend of variation within a year was analyzed using the least square linear regression method, and the significance level of the changes was tested through double tail t-test (0.05). According to the time series water body datasets, the water bodies were further divided into three types: permanent water bodies, seasonal water bodies, and temporary water bodies; their change trends were extracted through wavelet transform and time series decomposition method. Seven typical Ramsar sites of varying degrees of change were further selected for analysis and assessment of water body changes.

Main technologies involved

Database

Sources

Dynamic change of water body in Ramsar Sites(2020)

Project2

Solutions of Nature Resources Management

Project carriers

WIPO GREEN is an interactive marketplace and a network counting over 130 partners, among which are Amazon Web Services, Canon, CGIAR, Hitachi, IBM, and the United Nations Environment Programme. WIPO GREEN is operated by the World Intellectual Property Organization (WIPO), a United Nations agency assisting its 193 member states in developing a balanced international legal framework for intellectual property to meet the global community's evolving needs.

Beneficiaries

Companies, institutions, and non-governmental organizations looking for technology solutions to address specific environmental or climate change challenges.

Users

Researchers and scientists in companies, institutions, and non-governmental organizations.

Need

The need for access to a large number of sustainable natural change adaptation solutions (from prototypes to marketable products that can be sold, licensed, partnered or joint ventured).

Principle

The WIPO GREEN database categorizes green innovative technologies in seven different groups: Clean energy, Pollution technology, Water management solutions, Smart farming, Green transportation, Green building, Sustainable products, materials and processes.
Take the water management program for example. The WIPO GREEN database provides technologies for improved water resource management including water treatment solutions, desalination systems, water resources assessments, and coastal protection methods.

Main technologies involved

  • Database
  • Web technologies
  • Sources

    WIPO GREEN innovative technologies

    Project3

    Global Fishing Watch

    Project carriers

    Marine advocacy group Oceana, Google, SkyTruth, WWF, The Nature Conservancy (TNC)

    Beneficiaries

    Society.
    There is growing evidence linking IUU fishing with migration, human and drugs trafficking, corruption and money laundering. It is also known to have negative impacts on food security, job creation and the development of coastal communities in general.

    Users

    All stakeholders of global commercial fishing activity, including citizens, governments, fishery managers, scientists and members of the fishing industry itself.

    Need

    Illegal, unreported and unregulated (IUU) fishing has been depleting the world’s Fish populations for decades, despite concerted efforts from the global community to put an end to the practice.
    Like any exchange on the black market, illegal fishing is difficult to monitor, analyse and tackle. And the most promising instrument in the fight against the illegal activity seems to be big data, and the global shipping fleet could potentially play a crucial role in helping monitor hard-to-spot rogue activity at sea.

    Principle

    The platform tracks global fishing activity and analyses data from an automatic identification system (AIS), which broadcasts a ship’s identity, location, speed and direction. The AIS was initially designed as a safety mechanism to avoid collisions at sea and is currently used by 200,000 vessels around the world. With the help of a new algorithm developed by Global Fishing Watch, a vessel’s likely fishing behaviour can be detected in almost real-time.
    Another initiative based around data compilation, which comes from Project Eyes on the Seas, is a technology platform that unites satellite monitoring and imagery data with fishing vessel databases and oceanographic data to help authorities detect suspicious fishing activity.

    Main technologies involved

  • Satellite technology
  • Cloud computing
  • Machine learning
  • Database
  • Sources

  • Global Fishing Watch
  • Illegal fishing: the next frontier of big data analysis?
  • Using big data to combat illegal fishing
  • Project4

    Clean Water Sensoring

    Project carriers

    Charity: water

    Beneficiaries

    People in rural areas and rely on small water systems.

    Users

    Local government and water bureau.

    Need

    Historically, the only way for governments and NGOs to monitor rural water systems was to visit them. But reaching these locations takes time, human resources, and money. Given this reality, site visits occur only once or twice a year, meaning broken water systems can stay broken for months. If the system isn’t working, people immediately go back to drinking dirty water.

    Principle

    They developed a comprehensive remote monitoring tool using cutting-edge IoT (Internet of Things) sensors and cloud computing technology to equip local leaders with real-time data on water system performance. A handpump sensor is used as the tool to monitor the wells from afar. The handpump sensor lasts 10 years without a battery change, installs in 10 minutes, is fully tamper-proof and vandal resistant, and uses the Amazon Web Services cloud computing platform to analyze readings in real time. The sensor’s roaming agreement automatically covers over 200 countries.
    Deployment began in 2015. Today, thousands of these sensors are collecting data on our water projects. The sensors measure liters pumped per hour and can immediately identify any fluctuation in productivity. And if we observe a decrease in water flow—or a flow that stops altogether—a technician can be deployed to help make repairs.

    Main technologies involved

  • Satellite technology / GPS
  • Advanced IoT
  • Database
  • Sources

    charity:water

    Name of Selected Project:Solutions of Nature Resources Management

    Carriers and Actors of the Project

    Main Carriers: WIPO GREEN (mantain database); Other Actors: Research Instituition and University (provide data), Tech company in Natrual-resoure-related industry (pay for the data), government (data and patent governance)

    Research Question

    How can databases be used to help commercialize technologies for sustainable use of natural resources, balancing business interests and sustainable development?

    Reason for the selection

    I chose this project because I think it is needed and achievable by the real world (there are similar success stories).
    First of all, in the sustainable use of natural resources are mainly faced with these problems.

  • Limited technological innovation capability of companies: Difficulty in technological research, shortage of advanced equipment resources, and shortage of high-end human resources can limit the development space of companies, which in turn limits their contribution to resource sustainability.
  • High cost of purchasing technology and low profit: Usually, companies need to invest more money to purchase, experiment, and implement new solutions to achieve resource sustainability, but not enough profit from them, resulting in a lack of motivation to achieve SDG goals.
  • Fragmented information: Fewer and less integrated channels of information on new technologies that are conducive to resource sustainability raise the cost for companies (users) to obtain information.
  • The need to realize research results: research institutes and schools have high-end academic talents who also have research results, and the difficulty of realizing them may bring a financial crisis to these institutions, which in turn reduces the output rate of innovation results.

  • Since universities and research institutes have technology, talents and laboratories, and enterprises have production capacity and market channels, they can work together to form a complementary advantage, which can realize scientific and technological achievements quickly and thus support the realization of SDG goals. And WIPO can act as the builder of the cooperation platform.
    However, how to build the journey of both sides in the process of cooperation with the help of database is a question we need to consider further.

    User scenario

    Users

    Researchers and scientists in companies, institutions, and non-governmental organizations.

    Persona

  • First name: Mia
  • Age: 30
  • Profession: Researcher of a water treatment company.
  • Place of residence:London, Britain, City-centre
  • Family status: middle class
  • Income: 35000 Pounds per year
  • Hobbies and passions: Fitness, meditation, gardening and her dog Lulu
  • Needs, desires, dreams: Peaceful life, unity of body and mind, and dialogue with nature
  • Problems and frustrations: She was both hopeful that her company would be profitable in treating and selling water, and concerned about the negative effects of water shortages and water pollution. On one trip, her dog Lulu took a few sips of river water and returned to her hotel at night with vomiting and diarrhea. Mia couldn't help but think of the times she spent playing with her buddies in the river as a child. Now, she just feels sad: even natural blood can be toxic now.
  • Major issue related to the subject: Her boss discovered her concern for the natural environment while talking to her and wanted her to find a suitable technology to come up with a CSR solution for the company. mia was happy to do this and she thought it would make sense. However, she researched the Internet for a long time without finding the right technology: most of the information was fragmented and incomplete, and the contact information of the technical project leader seemed to have expired because she couldn't hear back from him (although she didn't want to bother anyone before the idea was formed). She felt the difficulty of gathering and identifying information and establishing contacts. This was a difficulty she had rarely encountered before. This is because her company's field is natural resource processing, and technical data in this area is usually managed by authoritative bodies, either in laboratories that rarely publish it, or with a high degree of confidentiality that prevents it from being freely disclosed.
  • Key features

  • Register as a user
  • Search for solution/need
  • Upload new solution/need
  • Read solution/need details
  • Email need's/solution's owner
  • UX storyboard

    UX storyboard

    Technical analysis

    General principle

    The WIPO Green Database is a free, solution-oriented global innovation directory that links the need to solve natural resource problems, the need to commercialize scientific research results and sustainable solutions. The database consists primarily of user-initiated uploads of needs and solutions, content imported by WIPO from selected partner organizations, and user information.
    Some of the unique features already available in the database are: consistent AI-assisted auto-matching, user upload tracking and alerts, full-text search of solutions based on long requirement descriptions, and the Patent2Solution search function, a commercial application for finding patents.
    Subsequently we expect to optimize the collaboration journey to make it more user-friendly. For example, a built-in association function in the database to facilitate searches; a site letter function on the website to facilitate efficient and secure communication; and increased promotion of successful cases of industry and institute collaboration to create a community atmosphere for positive collaboration.

    Technical overview - Database version

    Database version

    Added value thanks to databases

    With a database, data can be shared by multiple parties, reducing data redundancy, saving storage space, and avoiding incompatibility and inconsistency between data. Therefore, with the support of database, the cost of acquiring and processing information for users is reduced, while the autonomy and right to know are enhanced.