This building block democratizes access to cutting-edge technology, enabling scalable and cost-effective wildlife monitoring. Users can upload images or videos, and the application automatically detects and classifies species, providing actionable insights for decision-making.

The framework ensures that the AI model is robust and generalizable across different regions and habitats. Data collected is used to test the model’s ability to recognize vulture species in diverse conditions, providing feedback for further optimization.

The purpose of this building block is to automate the traditionally manual process of wildlife monitoring. The model works by analyzing visual data, detecting the presence of vultures, and classifying them into species with high accuracy. This reduces human effort, accelerates data analysis, and ensures consistency in monitoring.

Three-levels of a Co-living community

By implementing a three-level urban renewal strategy of shared neighborhood, shared courtyard, and shared building, the scattered and limited spaces in the Fayuan Temple area are organized.A top-down communal living system is established to solve the difficulties of residents' relocation, outdated infrastructure, and the protection and utilization of historical buildings. 

Shared Neighborhood

We analyzed the activity paths of different groups of people in the Fayuansi neighborhoods. The clear functional division of different areas leads to lack of intersection among various groups, which invisibly forms social barriers and is not conducive to long-term development of the city.

In the shared neighborhood, the entire block is taken as a shared space and considered as a whole, with a management center as the core to lead the co-living system. By dispersing the public functions throughout the block, the daily life of the local residents in the block has been transformed into a distinctive experiential tourism product. Overlapping activities are happening in composite physical spaces, which generates continuous energy for the neighborhood.

Shared Courtyard

The current living condition inside the courtyards is barely acceptable. Illegal construction such as kitchens and bathrooms has become a common phenomenon and the importance of public spaces are severely downgraded. There is hardly any public spaces left other than basic transportation space. 

Most of the young generations have moved out. Among the remaining residents , elderly and young children are the majority as well as some short-term tenants. The continuous reduction of vitality among the neiborhood has become an attention-grabbing problem.

While improving the overall courtyard environment, priority is given to ensuring the basic living needs of residents. This project adopts a four-step (evaluation, repair, demolition, and addition) measure of courtyard renovation. As the number of vacated households increases, existing illegal buildings will be demolished and public service facilities such as shared kitchens and shared laundry rooms will be added. These facilities will be integrated with internal courtyards and public green spaces to form a pubic core for the neighborhood.

Shared House

The vacant houses in the Fayuan Temple district are all made up with "rooms" with various ownerships. Using "room" as a basic unit for renovation is an effective way to reduce the risk of conflicts regarding property ownerships, and also flexible units can better adapt to the living needs of different types of people. By analyzing the dimensions of the courtyards, a 10-12 square-meter room unit was determined as a standard renewal module. The combination of dual and multiple units enables the possibilities for various functions such as long-term apartment, youth hostel, and Café etc.

During the 2019 Beijing International Design Week, we invited the local citizens from the nearby neighborhoods to participate in the workshop of "urban additions and subtractions" in order to collect public opinions and expectations for the renovation of Fayuan Temple district.

The followings are the conclusions that we drawn from the interviews and questionnaires collected from the workshop.

• For the multiple choice question of “What do you want to add to the district?” , pocket parks were selected the most by 19.78% of the participants.
• Many of the citizens complained that the space within Hutong (the Alley) was cramped and lack of greenery.
• The inhabitants of Hutong complained that the public restrooms and markets were relatively far, it can hardly meet the daily needs.
• Many of the inhabitants expected more communication and social space within the neighborhood.
• A majority of the inhabitants deemed that the amusement facilities for children and fitness equipment for the public were not sufficient.

The visitors of Hutong claimed that the hotels and recreational facilities were not sufficient to support the basic tourism needs.

An Adaptive Pathway Plan is a strategic framework designed to enhance resilience and adapt to long-term changes, particularly in the context of climate change. It involves identifying adaptation challenges and evaluating the effectiveness of various interventions over time. The key components include:

• Pathways Mapping: The plan illustrates sequences of measures or investments to achieve defined objectives, allowing for adjustments as conditions change.
• Thresholds and Tipping Points: The approach uses indicators to signal when a change in strategy is needed, ensuring flexibility in decision-making.
• Removal of Uncertainty: The uncertainty with using climate risk prediction models for decision making has led us to use Resilience instead, therefore removing uncertainty from the decision-making process.
• Stakeholder Engagement: Involvement of diverse stakeholders ensures that the pathways are context-sensitive and reflect local needs.

Kassandra is a predictive system, and it does so by creating ‘scenarios’ in which key parameters are altered individually or collectively and the variation of the Resilience Index is calculated. This is done iteratively until an optimum level is reached.

In addition, the scenarios can be of two types, passive and active. Passive scenarios are those where parameters external to the system are altered, for instance climatic data, whilst active scenarios simulate actual adaptations or management strategies, such as extensive tree planting.

The scenarios are not a forecast but plausible alternative images of how the future can unfold, or, as defined by the IPCC - Intergovernmental Panel on Climate Change.

In this stage Kassandra undertakes an analysis of resilience for all the entities within the Digital Twin based on twelve main Kassandra Parameters, hundreds of sub-parameters and thousands of relationships between these parameters. This highlights immediately areas where resilience might be lower and that might require urgent action.

Kassandra creates or builds upon a Digital Twin of the asset to be studied that uses analysis and simulation tools to take a long-term and whole-system view of an environment.

Kassandra is a platform designed to enhance climate change decision-making through the power of generative AI. It facilitates the acquisition and consolidation of data from various sources, such citizen engagement workshops, archive searches, surveys, or even IoT devices and urban applications, allowing for a comprehensive view of a city's environmental landscape.

• Data Acquisition: Kassandra collects diverse data related to climate, resource usage, and urban dynamics, acting as a central hub for this information,
• Data Transmission: The platform efficiently transmits this consolidated data to a virtual environment, making it accessible and easily understandable for decision-makers.
• Data Analysis: By integrating with advanced analytics tools, Kassandra supports real-time insights, enabling city planners to visualize trends and make informed decisions regarding resource management.
• Scalability: The platform’s seamless horizontal scaling allows for accommodating increasing data needs as cities grow and evolve.