To strengthen the enabling environment for sustainable freshwater aquaculture, state-level Multi-Stakeholder Platform (MSP) were initiated in the states of Assam and Odisha. The platforms were designed to bring together actors from government, the private sector, cooperatives, academia, and civil society to collectively address sector-specific challenges and align efforts across policies and programs.

The MSP development process in Assam and Odisha was carried out over a period of approximately 18 months. It began with a strategic planning workshop involving the Department of Fisheries, where the concept, purpose, and governance structure of the MSP were introduced. Feedback was collected to refine the structure, clarify roles, and ensure alignment with state priorities.

Subsequent workshops facilitated dialogue among key stakeholders, leading to the identification of priority challenges and opportunities in the freshwater aquaculture sector. As a result, in both states thematic working groups were established on e.g., One Health, Feed and Seed, Capacity Building, Finance and Insurance, and Decentralized Renewable Energy. These groups developed draft proposals for scoping studies and potential action plans to address key issues within their thematic areas.

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Apart from common comprehension of wildlife, citizens can also get involved in the following advanced activities and become “citizen scientists”.

1. Verify the existence of wild animals through the AI recognition tool “Species Eye”;

2. Estimate the number of wild animals manually;

3. Select the species of wild animal;

4. Figure out the name of the wild animal through the AI recognition tool “Species Eye”;

5. Ensure the accuracy and consistency of data by marking the geographic location.

This mini program, through scanning or searching, provides the access for every citizen to infrared images of wildlife in his/her geographic location, which allows them to participate in the sharing of nature with wildlife in a simpler and more intuitive manner through this application.

The Mini Program, with AI intelligent recognition as the underlying technology and endangered species as the core targets for recognition, trains a large biodiversity recognition model capable of monitoring such systems as mountains, rivers, forests, fields, lakes, grasslands and sandy lands. This recognition model features a powerful “engine” – Species Eye. As the fundamental and general model of “Wildlife Friends”, it is primarily characterized by strong learning capability, that is, multimodal recognition based on no or a few samples. It indicates that it can rapidly recognize the location and species information of multiple wild animals based on a few samples. For instance, it may take thousands of photos to be captured and days’ training for a traditional model to recognize a new species, but Species Eye can complete such mission quickly through a small number of photos, as well as trainings and iterations. In addition, it boasts a high extent of tolerance. It is no longer limited to the training and prediction for specific species with a powerful capability of open vocabulary identification and zero-sample recognition, and is able to accurately recognize and locate species without trained data. For instance, traditional models can merely recognize species based on trained data, such as tiger and antelope; while this new model can discriminate snow leopard and fox at the same time even without trained data of those two wild animals before. Another advantage of “Species Eye” is lower costs. Common AI models rely heavily on high-performance accelerator cards, which cause a high cost in hardware environment and its maintenance.

WeChat Mini Program is an application accessible without download, near at your fingertips just by scanning or searching. It is very simple to design a mini program, as a mini program development environment and developer ecosystem has been established in nearly two years. WeChat Mini Program is also an innovative achievement which genuinely influences general programmers in China’s IT industry for it involves over 1.5 million developers in its development together with WeChat. Its number has exceeded 1 million, encompassing more than 200 subdivided sectors and accommodating 200 million daily-active users.

1. Use without download: Users can open the mini program by scanning the QR code or searching in no need of download, which saves the storage space for mobile devices and lowers the usage threshold; they can quickly visit the mini program directly through WeChat to meet their temporary usage demands.

2. Low development costs and short cycle: The mini program sets a low technical standard and causes a small learning cost to developers based on front-end technology stacks (HTML/CSS/JS); and is compatible among various platforms and supports iOS and Android after development, which saves human labor and time costs.

3. Powerful traffic inlet and social fission: WeChat boasts 1.3 billion monthly-active users so it is easy to cultivate a sound user base. It supports the sharing channels to chat boxes, Moments, official accounts, and Search. Social dissemination, through sharing, group buying, and bargaining, can rapidly multiply and is suitable for marketing activities.

Systematic Fire Management and Technology Use in Ngao Model Forest as involving several key strategies. The community has built small check dams to save water, prevent wildfires, and reduce post-fire erosion. These dams also aid in vegetation growth and create fire breaks, contributing to a more resilient environment. The fire watch team uses walkie-talkies for real-time communication, enabling efficient reporting and response to fire conditions. Additionally, the district authority supports the initiative by broadcasting updates and progress on YouTube live daily, increasing transparency and community awareness. This combination of local knowledge and modern technology has significantly improved the efficiency of the community's fire management efforts, demonstrating the effectiveness of integrating traditional practices with contemporary tools.

Community Engagement and Leadership in Ngao Model Forest as driven by a passionate village leader who shares a vision for a thriving forest. The community formed a team of women who regularly patrol the forest and clear fire prevention paths. Equipped with walkie-talkies for real-time communication, they efficiently report fire conditions. The district authority supports them by broadcasting updates and progress on YouTube live daily, increasing transparency and community awareness. Regular awareness-raising campaigns educate the community about fire prevention, fostering a sense of responsibility and involvement. This approach has led to stronger community relationships, teamwork, and a significant reduction in wildfires, demonstrating the power of community engagement and women's leadership in environmental conservation.

Community Engagement and Leadership in Ngao Model Forest as driven by a passionate leader who shares a vision for a thriving forest. Strong community relationships and teamwork are emphasized, with regular awareness-raising sessions to educate the community about fire prevention. The older generation, particularly retirees, are highly motivated and actively involved in the fire watch team, while younger generations show interest and support. Awareness campaigns help the community understand the importance of fire prevention and encourage discussions about alternative livelihood opportunities. This approach has fostered a sense of responsibility and involvement in wildfire prevention among the community members.