A computer-implemented system to facilitate adaptive innovation

A computer-aided system supports adaptive innovation by integrating local knowledge and values to address climate change, enhancing community resilience and equity through a cyclical process of analysis, collaboration, and iterative testing.

DE202024106814U1Active Publication Date: 2025-01-23SANTHA SUNIL DAMODARAN MUMBAI
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Patent Information

Application Number
DE202024106814
Authority / Receiving Office
DE · DE
Patent Type
Utility models
Current Assignee / Owner
Filing Date
2024-11-26
Publication Date
2025-01-23
Estimated Expiration
2034-11-30

AI Technical Summary

Technical Problem

Existing adaptation strategies to climate change often overlook local knowledge, community participation, and social dynamics, leading to unsustainable and ineffective solutions that exacerbate inequalities and fail to address the unique needs of marginalized groups.

Method used

A computer-aided system facilitating adaptive innovation through a cyclical process of situation analysis, micromobilization, dialogical ideas, action framing, piloting, and emergence, integrating local knowledge and promoting values like justice, care, and solidarity to develop context-specific adaptation strategies.

Benefits of technology

Enhances community engagement and resilience by enabling iterative learning and adaptation, ensuring equitable and effective climate change strategies that consider local perspectives and power dynamics, thus improving socio-ecological systems' adaptability.

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Abstract

A computer-implemented adaptive innovation system (100), comprising: a data storage unit (102) configured to store data relating to a socio-ecological system, climate risks and information on actors in the community; a centralized processing unit (104) configured to perform various calculations and operations related to the adaptive innovation model; and a user interface (106) that serves as a means of interaction between the system and its users.
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Description

FIELD OF THE INVENTION

[0001] This disclosure relates to a computer-implemented system for facilitating adaptive innovation. BACKGROUND OF THE INVENTION

[0002] Adapting to climate change is a complex and multifaceted challenge that requires a holistic and people-centered approach. Existing methods and approaches to climate change adaptation often have several drawbacks and limitations. Many existing adaptation strategies treat climate change as a conventional development problem and rely heavily on technical solutions imposed from the top down. This approach fails to consider the local knowledge, lived experiences, and diverse perspectives of communities directly affected by climate change. Conventional adaptation efforts often overlook the active participation and engagement of local actors, leading to a lack of ownership and participation of affected communities. This can result in adaptation strategies that are disconnected from the local context and may not be sustainable or effective in the long term.

[0003] Climate change adaptation is often viewed primarily from an ecological or technological perspective, neglecting the complex social, cultural, and political dimensions that shape communities' perceptions of and responses to climate-related challenges. This narrow focus can lead to adaptation strategies that fail to address the underlying social vulnerabilities and power dynamics that exacerbate the impacts of climate change. Traditional and indigenous knowledge systems, developed over generations in dealing with the environment, are often overlooked or undervalued in the development of adaptation strategies. This disregard for local knowledge can lead to strategies that are incompatible with the existing practices and belief systems of affected communities.

[0004] Many adaptation efforts are implemented as one-off projects that lack mechanisms for continuous reflection, learning, and adaptation based on emerging challenges, unintended consequences, and evolving community needs. This lack of iterative learning can lead to maladaptation or the failure to capitalize on emerging opportunities. Existing adaptation approaches often overlook issues of equity, justice, and empowerment, particularly for vulnerable and marginalized groups. This can perpetuate or exacerbate existing inequalities and further disadvantage those already disproportionately affected by the impacts of climate change.

[0005] The adaptive innovation approach aims to address these drawbacks by fostering a human-centered, reflective, and iterative process that integrates local knowledge, promotes community engagement, and emphasizes values ​​such as justice, care, and solidarity. By enabling collective analysis, dialogue, ideation, and iterative piloting, the adaptive innovation model empowers communities to collaboratively develop and refine context-specific adaptation strategies that enhance the resilience of socio-ecological systems.

[0006] In view of the previous discussion, it is clear that there is a need for a computer-based system to implement an adaptive innovation approach. SUMMARY OF THE INVENTION

[0007] The present disclosure relates to a computer-implemented system for facilitating adaptive innovation. The present invention relates to a computer-implemented system for facilitating adaptive innovation that represents a human-centered and reflective approach to addressing climate change adaptation and improving the resilience of socioecological systems. The system is designed to guide community actors through a cyclical process of situation analysis, micro-mobilization, dialogic ideation, action design, piloting, and emergence. The system comprises a data storage unit for storing relevant data related to the socioecological system, climate risks, and community actor information. It also comprises a processing unit configured to perform various functions throughout the adaptive innovation cycle.In the situation analysis phase, the processing unit analyzes the stored data to identify critical elements, interrelationships, and discursive positions of actors within the socio-ecological system. This phase may include conducting a scoping review, participatory mapping, and analyzing drivers and barriers to ethical adaptation. The micro-mobilization phase involves organizing community actors and building consensus for adaptation strategy development through interactive platforms. The processing unit facilitates this phase through shared visioning and risk and vulnerability analysis processes. During the dialogic ideation phase, the processing unit enables the shared imagining and co-development of multiple adaptation pathways through deliberation, shared decision-making, and exploration of different possibilities.In the action framework phase, the processing unit translates emerging ideas into actionable models and visualizations for systematic exploration, considering feasibility, resilience, and resource requirements. The pilot phase involves iterative testing and refinement of the working models in real-world scenarios, supported by the processing unit. During this phase, community stakeholders can provide feedback and make adjustments to the models before scale-up. Finally, in the emergence phase, the processing unit analyzes the emerging patterns, structures, and consequences resulting from the adaptation efforts, including intended and unintended consequences.The system also includes a user interface configured to display results, receive input from community actors and stakeholders, and facilitate reflective practices throughout the adaptive innovation cycle.

[0008] This disclosure is intended to provide a computer-based system for promoting adaptive innovation. The system comprises: a data storage unit configured to store data on a socio-ecological system, climate risks, and information on community actors; a central processing unit configured to perform various calculations and operations related to the adaptive innovation model; and a user interface serving as a means of interaction between the system and its users.

[0009] In one embodiment, the centralized processing unit further comprises: a situation analysis module configured to identify critical elements, interrelationships, and discursive positions of actors within the socio-ecological system based on the stored data; a micro-mobilization module configured to facilitate processes for organizing community actors and building consensus for the elaboration of adaptation strategies through interactive platforms; a dialogic ideation module configured to enable processes for collective imagination and co-creation of multiple adaptation pathways through deliberation and joint decision-making; an action framework module configured to translate emerging ideas into actionable models and visualizations for systematic exploration;a pilot module configured to implement processes for iteratively testing and refining the working models in real-world scenarios; and an emergence analysis module configured to analyze emerging patterns, structures, and consequences resulting from the adaptation efforts.

[0010] In one embodiment, the user interface comprises a display device, the user interface further configured to: display the results of the situation analysis, micro-mobilization, dialogic ideation, action design, and piloting modules via the display device; and receive inputs from actors and community stakeholders during the adaptive innovation phases, using a variety of interactive devices to receive the inputs, the inputs facilitating reflective practice by allowing users to provide feedback and make adjustments throughout the adaptive innovation model.

[0011] In one embodiment, the situation analysis module is further configured to perform a scoping review, participatory mapping, and drivers and barriers analysis.

[0012] In one embodiment, the micromobilization module is configured to facilitate shared vision and risk and vulnerability analysis processes.

[0013] In one embodiment, the dialogic ideation module is configured to explore multiple possibilities and generate new ideas for implementing adaptation paths.

[0014] In one embodiment, the action framework module is configured to investigate the feasibility, resilience, and resource requirements for implementing the actionable models.

[0015] In one embodiment, the pilot module is configured to enable iterative testing, refinement, and scaling of the working models based on feedback from community stakeholders.

[0016] In one embodiment, the emergence analysis module is configured to analyze intended and unintended consequences of the adaptation efforts.

[0017] In one embodiment, the system further includes a collaboration module within the user interface configured to facilitate collaboration and knowledge sharing between community actors and stakeholders throughout the adaptive innovation cycle.

[0018] One objective of the disclosure is to provide a computer-based system to facilitate adaptive innovation

[0019] Another objective of this disclosure is to provide a computer-based system to facilitate adaptive innovation processes to address climate change adaptation and improve the resilience of socio-ecological systems.

[0020] Another aim of this disclosure is to enable a situational analysis of critical elements, interrelationships and discursive positions of actors within a socio-ecological system.

[0021] Another objective of this disclosure is to facilitate micro-mobilization processes to organize community actors and achieve consensus for the development of adaptation strategies.

[0022] Another objective of this disclosure is to enable dialogic ideation processes for the collective imagination and joint development of multiple adaptation pathways.

[0023] Another goal of this disclosure is to create action frameworks by translating emerging ideas into actionable models and visualizations for systematic exploration.

[0024] Another objective of this disclosure is the implementation of pilot processes for iterative testing and refinement of working models in real-world scenarios.

[0025] Another objective of this disclosure is to analyze emerging patterns, structures, and consequences resulting from adaptation efforts, including intended and unintended consequences.

[0026] Another objective of this disclosure is to provide a user interface for displaying results, receiving input from community actors and stakeholders, and facilitating reflective practice throughout the adaptive innovation cycle.

[0027] To further clarify the advantages and features of the present disclosure, a more detailed description of the invention will be given with reference to specific embodiments thereof illustrated in the accompanying drawings. It should be noted that these drawings represent only typical embodiments of the invention and are therefore not to be considered limiting its scope. The invention will be described and explained in additional detail and in greater detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE CHARACTERS

[0028] These and other features, aspects, and advantages of the present disclosure will be better understood when the following detailed description is read with reference to the accompanying drawings, in which like characters represent like parts throughout. Fig. 1 shows a block diagram of a computer-implemented system for facilitating adaptive innovation according to an embodiment of the present disclosure; Fig. 2 shows a schematic diagram illustrating the adaptive innovation model according to an embodiment of the present disclosure; Fig. 3 shows a block diagram illustrating reflective practice in adaptive innovation according to an embodiment of the present disclosure; and Fig. 4 shows a diagram illustrating actor interface analysis in adaptive innovation according to an embodiment of the present disclosure.

[0029] Furthermore, those skilled in the art will appreciate that elements in the drawings are shown for convenience and may not necessarily be drawn to scale. For example, the flowcharts illustrate the method by key steps to enhance understanding of aspects of the present disclosure. Moreover, with respect to device construction, one or more components of the device may have been represented in the drawings by conventional symbols, and the drawings may show only those specific details relevant to understanding embodiments of the present disclosure in order not to clutter the drawings with details that would be readily apparent to those skilled in the art who would benefit from the description herein. DETAILED DESCRIPTION:

[0030] To facilitate an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawings and described in specific language. It is to be understood, however, that this is not intended to limit the scope of the invention, as such changes and further modifications to the illustrated system and such further applications of the principles of the invention as illustrated therein are contemplated as would normally occur to one skilled in the art to which the invention pertains.

[0031] It will be understood by one skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the invention and are not intended to be limiting thereof.

[0032] References in this specification to "one aspect," "another aspect," or similar language mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Therefore, occurrences of the phrase "in one embodiment," "in another embodiment," and similar language throughout this specification may or may not all refer to the same embodiment.

[0033] The terms "comprises," "comprising," or other variations thereof are intended to cover non-exclusive inclusion, such that a process or method comprising a list of steps not only includes those steps, but may also include other steps not expressly listed or inherent in such process or method. Likewise, one or more devices or subsystems or elements or structures or components preceded by "comprises...a" does not preclude, without further limitation, the existence of other devices or other subsystems or other elements or other structures or other components or additional devices or additional subsystems or additional elements or additional structures or additional components.

[0034] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The system, methods, and examples provided herein are for illustrative purposes only and should not be considered limiting.

[0035] Embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.

[0036] The functional units described in this specification have been referred to as devices. A device may be implemented in programmable hardware devices such as processors, digital signal processors, central processing units, field-programmable gate arrays, programmable array logic, programmable logic devices, cloud processing systems, or the like. The devices may also be implemented in software for execution by various types of processors. An identified device may contain executable code and may, for example, comprise one or more physical or logical blocks of computer instructions, which may be organized, for example, as an object, procedure, function, or other construct.However, the executable file of an identified device need not be physically located together, but may comprise different instructions stored in different locations which, when logically linked together, constitute the device and fulfill the stated purpose of the device.

[0037] Indeed, executable code of a device or module may be a single instruction or multiple instructions, and may even be distributed across several different code segments, among different applications, and across multiple storage devices. Similarly, operational data may be identified and represented within the device and embodied in any suitable form and organized in any suitable type of data structure. The operational data may be captured as a single set of data or distributed across different locations, including different storage devices, and may exist, at least in part, as electronic signals in a system or network.

[0038] References in this specification to "a selected embodiment," "an embodiment," or "an embodiment" mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the disclosed subject matter. Therefore, the appearances of the phrases "a selected embodiment," "in an embodiment," or "in an embodiment" in various places in this specification do not necessarily refer to the same embodiment.

[0039] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to provide a thorough understanding of embodiments of the disclosed subject matter. However, one of ordinary skill in the art will recognize that the disclosed subject matter may be practiced without one or more of the specific details, or with different methods, components, materials, etc. In other instances, well-known structures, materials, or operations are not shown or described in detail to avoid obscuring aspects of the disclosed subject matter.

[0040] According to the example embodiments, the disclosed computer programs or modules may be executed in many example ways, for example, as an application stored in the memory of a device or as a hosted application running on a server and communicating with the device application or browser using a variety of standard protocols such as TCP / IP, HTTP, XML, SOAP, REST, JSON, and other suitable protocols. The disclosed computer programs may be written in example programming languages ​​that execute from memory on the device or from a hosted server, for example, BASIC, COBOL, C, C++, Java, Pascal, or scripting languages ​​such as JavaScript, Python, Ruby, PHP, Perl, or other suitable programming languages.

[0041] Some of the disclosed embodiments comprise or otherwise involve data transmission over a network, such as communicating various inputs or files over the network. The network may comprise, for example, one or more of the following: the Internet, wide area networks (WANs), local area networks (LANs), analog or digital wired and wireless telephone networks (e.g., a PSTN, Integrated Services Digital Network (ISDN), a cellular network, and Digital Subscriber Line (xDSL)), radio, television, cable, satellite, and / or any other delivery or tunneling mechanism for transmitting data. The network may comprise multiple networks or subnetworks, each of which may comprise, for example, a wired or wireless data path. The network may comprise a circuit-switched voice network, a packet-switched data network, or any other network capable of transmitting electronic communications.For example, the network may include networks based on Internet Protocol (IP) or Asynchronous Transfer Mode (ATM), and may support voice using, for example, VoIP, Voice over ATM, or other comparable protocols used for voice data communications. In one implementation, the network includes a cellular network configured for the exchange of text or SMS messages.

[0042] Examples of the network include, but are not limited to, a Personal Area Network (PAN), a Storage Area Network (SAN), a Home Area Network (HAN), a Campus Area Network (CAN), a Local Area Network (LAN), a Wide Area Network (WAN), a Metropolitan Area Network (MAN), a Virtual Private Network (VPN), an Enterprise Private Network (EPN), the Internet, a Global Area Network (GAN), and so on.

[0043] The present invention relates to a computer-implemented system whose objective is the implementation of an adaptive innovation model that offers six practice phases, the embedded cycle of reflective practice, and the importance of analyzing actor interfaces in adaptation.

[0044] Fig. 1 shows a block diagram of a computer-implemented system for facilitating adaptive innovation according to an embodiment of the present disclosure.

[0045] With reference to Fig. 1, the system (100) implanted in a computer comprises a data storage unit (102) configured to store data relating to a socio-ecological system, climate risks and information on community actors;

[0046] In one embodiment, a central processing unit (104) is configured to perform various calculations and operations associated with the adaptive innovation model.

[0047] In one embodiment, a user interface (106) serves as a means of interaction between the system and its users.

[0048] In one embodiment, the centralized processing unit (104) further comprises: a situation analysis module (104a) configured to identify critical elements, interrelationships, and discursive positions of actors within the socio-ecological system based on the stored data; a micro-mobilization module (104b) configured to facilitate processes for organizing community actors and building consensus for the elaboration of adaptation strategies via interactive platforms; a dialogic ideation module (104c) configured to enable processes for collective imagination and co-creation of multiple adaptation pathways through deliberation and joint decision-making; an action framework module (104d) configured to translate emerging ideas into actionable models and visualizations for systematic exploration;a piloting module (104e) configured to implement processes for iteratively testing and refining the working models in real-world scenarios; and an emergence analysis module (104f) configured to analyze emerging patterns, structures, and consequences resulting from the adaptation efforts.

[0049] In one embodiment, the user interface (106) comprises a display device (106a), the user interface (106) further configured to: display the results from the situation analysis, micro-mobilization, dialogic ideation, action design, and piloting modules, wherein the results are displayed via the display device (106a); and receive inputs from actors and community stakeholders during the adaptive innovation phases, wherein a plurality of interactive devices (106b) are used to receive the inputs, the inputs facilitating reflective practice by allowing users to provide feedback and make adjustments throughout the adaptive innovation model.

[0050] In one embodiment, the situation analysis module (104a) is further configured to perform a scope review, participatory mapping, and analysis of drivers and barriers.

[0051] In one embodiment, the micromobilization module (104b) is configured to facilitate collaborative visioning and risk and vulnerability analysis processes.

[0052] In one embodiment, the dialogic ideation module (104c) is configured to explore multiple possibilities and generate new ideas for implementing adaptation paths.

[0053] In one embodiment, the action framework module (104d) is configured to investigate the feasibility, resilience, and resource requirements for implementing the actionable models.

[0054] In one embodiment, the pilot module (104e) is configured to enable iterative testing, refinement, and scaling of the working models based on feedback from community stakeholders.

[0055] In one embodiment, the emergence analysis module (104f) is configured to analyze intended and unintended consequences of the adaptation efforts.

[0056] In one embodiment, the system (100) further comprises a collaboration module (108) in communication with the user interface (106) configured to facilitate collaboration and knowledge sharing between community actors and stakeholders throughout the adaptive innovation cycle.

[0057] In one embodiment, the data storage unit (102), the centralized processing unit (104), the user interface (106), and the collaboration module (108) may be implemented in programmable hardware devices such as processors, digital signal processors, central processing units, field-programmable gate arrays, programmable array logic, programmable logic devices, cloud processing systems, or the like.

[0058] Fig. 2 shows a schematic diagram illustrating the adaptive innovation model according to an embodiment of the present disclosure.

[0059] This invention focuses on an adaptive innovation model and dives deep into the landscape of adaptive innovation by discussing the values ​​that drive ethical adaptation, the six stages of practice, the reflective practice cycle, and the importance of analyzing actor interfaces. Let's break down each aspect in detail. First, the chapter introduces the core values ​​that underlie ethical adaptation: justice, ethics of care, and solidarity. These values ​​form the ethical foundation upon which the entire adaptive innovation framework is built. Next, it delves into the six stages of adaptive innovation. These stages are likely to include identification, ideation, prototyping, testing, implementation, and evaluation, although the specifics may vary depending on the context. Each stage plays a critical role in the journey of adaptive innovation and contributes to the overall success of the process.Furthermore, the invention emphasizes the integration of these phases into a continuous cycle of reflection. This cycle includes reflection for action, where the insights gained from reflection inform future actions; reflection in action, which takes place during active participation in the innovation process; and reflection on action, where past actions are evaluated to derive lessons for improvement. Furthermore, the importance of analyzing actor interfaces is highlighted. By examining the interactions and interfaces between different actors involved in the adaptation process, such as stakeholders, innovators, users, and policymakers, a deeper understanding of the dynamics can be achieved. This critical analysis enables stakeholders to make informed decisions and effectively manage complexities.In essence, this invention represents a comprehensive framework for adaptive innovation, based on ethical values, structured around key phases, integrated into reflective practice cycles, and enriched by insights from the analysis of actor interfaces.

[0060] The adaptive innovation model is based on three core values ​​that guide ethical and just adaptation to climate change: justice, care, and solidarity. These values ​​serve as a crucial foundation for promoting human-centered, just, and inclusive adaptation strategies. Justice:

[0061] The value of justice is paramount in addressing the disproportionate impacts of climate change on vulnerable and marginalized communities. Climate change undermines these groups' ability to live with dignity and exacerbates existing inequalities in access to resources, decision-making, and control over their physical and social environment.

[0062] To ensure justice in climate change adaptation, those most affected must be granted rights, responsibilities, and recognition. These rights include the right to be protected from the impacts of climate change, the right to benefit from adaptation measures, and the right to participate in decision-making processes that shape those measures. Responsibility means that governing actors guarantee these rights through fair and inclusive distributional and procedural mechanisms.

[0063] This recognition requires and ensures that the rights to self-determination and a dignified life of diverse cultural and social groups in the face of climate change are addressed. It acknowledges the historicity of marginalization and resource inequality among vulnerable communities and recognizes the diversity of knowledge systems and lived experiences that must be incorporated into adaptation strategies.

[0064] Climate change adaptation must be based on inclusive, representative, and deliberative principles that empower vulnerable and marginalized groups to make decisions and take responsibility for their development trajectories. The adaptive innovation model aims to create a socially inclusive and people-centered process in which all participants, especially the most vulnerable, are accepted and viewed as capable of participating in the planning and design of effective adaptation strategies. Care:

[0065] The ethics of care emphasizes the moral significance inherent in people's routine and situated relationships within social-ecological systems. It highlights the affective foundations of ethical behavior, such as love, empathy, and compassion, which shape moral judgments about what is right and fair.

[0066] Caring is a rational and affective engagement with the world that values ​​emotions such as sympathy, empathy, sensitivity, and responsiveness. It recognizes the interdependence between human actors and between human and non-human actors within a social-ecological system. The practice of caring involves attention, responsibility, competence, and responsiveness to the needs of others and the environment.

[0067] The ethics of care reveals the relational and contextual nature of problems such as climate change adaptation and justice. It demands not only equality for subjected actors within existing structures, but also equal consideration of the experiences, values, and moral significance of care practices.

[0068] Building trust and empathy with vulnerable actors becomes crucial for ethical adaptation. Fostering shared conversations that connect people, encourage the open exchange of ideas, and support active listening can help build trust and maintain caring relationships. Ethical decisions are based on the quality of the relationships that vulnerable people and dependent groups maintain, taking into account their life experiences and emotions. Solidarity:

[0069] Solidarity is a moral value and social attitude associated with mutual respect, empathy, care, support, and commitment to a common cause. It recognizes that the well-being of one person or group is positively related to that of others and fosters a sense of connectedness, even in the face of adversity. Solidarity facilitates the provision of formal and informal care to vulnerable groups and recognizes the power of local knowledge and solidarity networks within marginalized communities. It is these groups that should have primary voices in human solidarity and should possess the capacity to assert power and respect. Intergenerational and intersectional solidarity are critical for climate change adaptation. Intergenerational solidarity honors and preserves the strengths and capacities of each generation through mutual support, care, and the exchange of services. It facilitates the transfer of knowledge among individuals of all ages, shaped by age, gender, culture, ethnicity, socioeconomic status, values, and evolving worldviews.Solidarity can also encompass relationships with non-human nature and future generations, recognizing the interconnectedness of all elements within a socio-ecological system. Problems associated with these systems should be addressed jointly, with community actors, experts, and authorities jointly defining the nature and scope of the problem.

[0070] Active citizenship and genuine respect for the contributions of others are essential to fostering long-term shared commitments to addressing critical socio-ecological problems. The inherent capacity of community actors to respond collectively to changing circumstances should be recognized, nurtured, and enhanced, allowing them to leverage existing strengths as solidarity groups rather than imposing solutions from outside.

[0071] The adaptive innovation model consists of six interconnected phases that enable a dynamic, iterative, and reflective process for collaboratively developing and implementing effective climate change adaptation strategies. These phases are: 1. Situation analysis:

[0072] This phase involves a comprehensive understanding of the complex socio-ecological system in which adaptation efforts are located. This includes identifying and analyzing the critical elements within the system, their interactions, and the discursive positions and practices of the various actors involved. This analysis encompasses contexts of vulnerability, livelihood practices, adaptation trends, and other key issues affecting various community actors.

[0073] Situation analysis attempts to unpack the complexity of the situation by specifying, restating, and examining key elements and their relationships. This phase may include steps such as conducting a scoping review, participatory mapping exercises, and analyzing the drivers and barriers to ethical adaptation. 2. Micromobilization:

[0074] Micromobilization is a strategic process that aims to organize and mobilize diverse community actors to jointly develop appropriate adaptation strategies through innovation platforms. These are various interactive processes that aim to influence and motivate these intersectional actors to develop a shared vision and act accordingly.

[0075] This phase is about building consensus, leveraging collective support, and generating momentum for action. The ultimate outcomes of micromobilization are to foster genuine and emotional commitment to the shared vision among the innovation platform's members, enable proactive participation in consensus building, and facilitate the co-design of potential adaptation measures. Shared visions and risk and vulnerability analyses are essential components that support micromobilization processes. 3. Dialogic idea generation:

[0076] The third phase of adaptive innovation emphasizes the diversity of imaginations and narratives emerging from the lived realities of the actors involved. Dialogic ideation is a process of collective imagination in which community actors, in partnership with other stakeholders, engage in in-depth reflection, dialogue, and shared conversations to develop and co-create multiple adaptation pathways.

[0077] During this phase, various possibilities are explored and new ideas for implementing these paths are developed. It promotes the exchange of different perspectives, experiences, and knowledge systems and fosters a comprehensive and integrative idea generation process. 4. Framework for action:

[0078] Building on the previous phases, action framing involves translating emerging ideas and possibilities into actionable models and visualizations. It is a collective and participatory process that aims to create meaningful sensory experiences, images, or visualizations that represent the proposed actions.

[0079] Action design enables a systematic exploration of feasible options, considering their feasibility, resilience, resource requirements, and potential inconveniences or challenges in implementation. It generates shared experiences among participants and facilitates the identification of the resources needed to realize the ideas. 5. Piloting:

[0080] Piloting refers to the iterative and reflective processes of implementing and testing the working models developed in the previous phases. The suitability, feasibility, and effectiveness of the proposed adaptation strategies are assessed through real-life pilot projects or small-scale implementations.

[0081] Pilot projects allow stakeholders to test their ideas, iterate and refine working models based on practical experience, and determine their feasibility. This phase helps implement ideas and models more quickly, rather than spending excessive time and resources on detailed planning and strategy development.

[0082] Pilot projects also help anticipate key challenges in strengthening adaptive capacity and monitor the intended and unintended consequences of adaptation efforts. Successful pilot projects can be scaled up and implemented more broadly after several iterations and reflections, with community stakeholders' consent. 6. Origin:

[0083] Emergence refers to the self-organizing patterns, structures, and consequences that result from the adaptation project, both intended and unintended. It is an integral part of any dynamic social-ecological system in which surprises and unexpected outcomes can occur.

[0084] Emergence represents the creation of something qualitatively different from preceding phenomena. The characteristics of the structures and outcomes in this phase can be completely different from those of previous phases of adaptive innovation. The emergence phase can lead to a new social, ecological, and cognitive order and generate new knowledge, skills, and ideas.

[0085] During this phase, new members, additional materials, and fresh ideas can be integrated into the emerging structure and become integrated into the social-ecological system. When the system achieves a breakthrough, the adaptive efforts have reached a new state of order within a specific temporal-spatial context. However, when the system is on the verge of collapse, this indicates that the adaptive efforts have either failed or proven maladaptive. In both cases, adaptive innovation follows a cycle of reflection, returning to the situation analysis phase for reassessment and iteration.

[0086] These six phases form a cyclical and iterative process in which continuous learning, reflection, and adaptation take place throughout. The phases are interconnected, with the results and insights of one phase influencing and shaping subsequent phases. The adaptive innovation model emphasizes the collaborative development of solutions, situational learning, and the integration of diverse knowledge systems and perspectives to ultimately strengthen the adaptive capacity and resilience of socio-ecological systems in the face of climate change.

[0087] Fig. 3 shows a block diagram illustrating reflective practice in adaptive innovation according to an embodiment of the present disclosure.

[0088] The adaptive innovation model is based on the principles of reflective practice, which encompasses iterative cycles of action and reflection. Reflective practice is a pursuit of truthful reflection and action, recognizing that adaptation to climate change is a process fraught with uncertainty and surprise at various levels of the socio-ecological system.

[0089] Reflective practice is an iterative and experiential learning approach that involves repeated cycles of reviewing practice, adapting practice, and reflecting on it before attempting again. It is a collective and collaborative learning process in which the actors involved co-develop adaptation strategies by thinking, acting, and reflecting on their actions. Each phase of adaptive innovation is designed as a catalyst for creating engagement and generating iterative feedback for further reflection and action.

[0090] Schön is well known for his work, which proposes an iterative and experiential learning cycle of action and reflection, in which reflection on each effort forms the basis for the next attempt. The goal is to shape strategic action and develop theoretical understanding through a series of successive triangulations.

[0091] Reflective practice involves the ability to work with diverse worldviews without promoting oppressive practices, while simultaneously gaining insights into one's own practical situations and discovering possibilities for creating alternative frames of reality. It empowers each participating actor to reinterpret their values, interests, and knowledge in relation to those of others.

[0092] Questioning positions, assumptions, and actions as social workers. Reflexivity helps us understand our performance and practice, and our capacity for reflexivity is central to our actions, decisions, and judgments.

[0093] Reflection also helps us develop context-specific theories that can inform our future practice. The adaptive innovation model proposes a three-phase reflection cycle: reflection for the action, reflection during the action, and reflection on the action. 1. Reflection as a basis for action: This involves thinking about future actions to improve or change a practice. It is a form of future scenario building that requires consideration of multiple perspectives of the self, other stakeholders, social workers, and available documents, including literature. In the adaptive innovation model, reflection as a basis for action is crucial in situation analysis, micromobilization, and dialogic ideation. 2. Reflection in action: This occurs during an action and reflects the situation of the actors and their alertness to simultaneous changes in the socio-ecological system. It is an iterative way of thinking and acting within actions, examining the nature of the routine responses that community actors bring to their everyday practical situations. Reflection in action occurs primarily during the phases of dialogic ideation, action design, and piloting. 3. Reflection on action: This is a reflection on practice and one's own actions and thoughts following the implementation of the adaptation strategy. It involves a critical account of what happened, examining the intended and unintended consequences of one's own actions and which aspects of the outcome can or cannot be explained. Reflection on action takes place primarily during the piloting and development phases of the adaptive innovation process.

[0094] In a continuous spiral of action and reflection, reflection for action is the desired outcome of both reflection on action and reflection in action. Through deeper self-reflection of their past and present actions, community actors can generate knowledge that informs their future actions.

[0095] Neglecting any of these three phases of reflective practice could neglect or oversimplify needs assessment and adaptation planning. It is important not to approach communities with preconceived notions about adaptation strategy or innovation design. Instead, it is crucial to consider and support the needs, constraints, and local knowledge of the stakeholders involved.

[0096] Posing a few actionable and actionable questions at the beginning and end of each phase of the adaptive innovation process can help systematically promote, analyze, and document the entire process through the lens of reflective practice. Field diaries and journals can also be important media for systematically tracking the path of reflective practice.

[0097] Every social encounter is characterized by a dynamic interplay of observing, listening, thinking, and acting. Reflection in action and reflection on action encompass how different community actors behave and respond to the values, interests, and knowledge of other actors in each social encounter. Focusing on specific social encounters can help challenge underlying assumptions and develop empathy for the experiences, vulnerabilities, and capacities of marginalized community actors.

[0098] Reflective practice creates spaces and capacities for people on the margins of society to develop new, empowering meanings for their actions. It emphasizes the creative struggles of community actors in particular social positions while engaging with the practicalities of their own social and historical conditions. This requires us to be sensitive and empathetic when entering the lifeworlds of community actors and to have a deeper and better understanding of actors' behaviors, actions, and interactions, which is crucial for analyzing social change in the context of climate change adaptation.

[0099] Fig. 4 shows a diagram illustrating actor interface analysis in adaptive innovation according to an embodiment of the present disclosure.

[0100] The adaptive innovation model recognizes that community-based adaptation strategies need to be contextualized and reflected upon as interfaces between different actors with different power relations, whose outcomes depend on the capacities, tactics, and rationalities of the respective actors in decision-making for adaptation.

[0101] Every social encounter in the practical context of adaptive innovation is viewed as a situation in which actors with different rationalities and power relations encounter each other. Actors are not viewed as passive recipients of adaptation measures, but as active agents with specific knowledge and agency. They are viewed as "knowing" and "capable" and enter each specific social situation with new agency and negotiation competencies.

[0102] In this context, actor interfaces are critical interaction points in specific social encounters involving multiple actors with different values, interests, knowledge, and power. The consequences of these interfaces can be social innovations or social discontinuities.

[0103] Each phase of adaptive innovation is characterized by diverse and often complex interpretations of reality and meanings attributed to the various community actors involved. Every social encounter may be shaped by the micropolitics of power, exhibiting the subjugation and resistance of various actors.

[0104] Recognizing competing knowledge and interests in every situation helps practitioners remain vigilant against power relations and ideological issues related to practice. If these social encounters are not sensitively facilitated, they can become sites of domination and spaces where mere sociotechnical interests are pursued.

[0105] Therefore, practitioners must continually reflect on aspects such as language and narratives, negotiations, and power relations embedded in these social encounters. The uniqueness of each social encounter, the complexity of decision-making, and the professional anxieties of practitioners also become essential factors shaping adaptation.

[0106] The analysis of interactions and dependencies between structures and actions is a key focus of the social interface approach. Social interfaces are understood as critical intersections between different lifeworlds, social fields, or levels of social organization where social discontinuities are most likely to occur due to discrepancies in values, interests, knowledge, and power.

[0107] The critical points of interaction are those social encounters in which community actors confront each other and contest social meanings and practices. These interactions often revolve around the problems of finding alternative ways to negotiate, bridge, adapt, withdraw, or struggle against each other's different social and cognitive worlds.

[0108] Interface analysis helps practitioners understand the dynamic, emergent, and conflictual nature of social encounters between different actors with different interests, knowledge, resources, and power.

[0109] The interface approach emphasizes the particularities of social contexts that characterize every social encounter. Every encounter involves interaction between many different actors, each with their own specific knowledge, values, interests, and concerns. The actions of one actor may not always be compatible with the interests of another.

[0110] The effectiveness of the interface approach lies in its ability to focus on the negotiations and mediations at each stage of the adaptive innovation project. By understanding the behaviors and strategies of actors, practitioners can uncover the rationalities that shape these actions and how they are articulated in specific ways.

[0111] Understanding the dynamics of these social encounters helps practitioners understand why some adaptation strategies have proven unsuccessful or led to unintended consequences. Analyzing social interfaces can provide insights into strategic social encounters where decisions to adapt were negotiated or contested.

[0112] Furthermore, it helps practitioners to examine the different situations that have led to the emergence of actionable knowledge and new warrants for action, and to reflect on how shared understandings and conflicts have emerged in different spatial and temporal contexts.

[0113] Throughout the adaptive innovation process, practitioners can enable community actors to collectively reflect on these contexts and their dynamics, thus maintaining meaningful thinking and action to address these situations.

[0114] Actor-interface analysis is a crucial aspect of the adaptive innovation model. It enables practitioners to critically engage with the adaptation process by analyzing the complex interactions, power dynamics, and diverse perspectives of the various actors involved, ultimately leading to more comprehensive, contextualized, and effective adaptation strategies.

[0115] This disclosure presents the landscape of the adaptive innovation model, which operates in a systemic space where ideas, knowledge, techniques, and practices intersect. It encompasses diverse community actors responding to the impacts of climate change through their unique yet interconnected forms of knowledge and practice. Local community actors have their understanding of climate change impacts and their response strategies, while external experts such as social workers develop their perspectives on action and interaction. The disclosure highlights how values, interests, knowledge positions, and power dynamics between local actors and outsiders shape social encounters and adaptive behavior. It positions itself based on this understanding of change and practice.The following chapter elaborates on the importance of ethical adaptation to climate change and emphasizes values ​​such as justice, care, and solidarity as essential foundations for adaptive innovation.

[0116] The drawings and the foregoing description provide examples of embodiments. Those skilled in the art will recognize that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be separated into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, orders of the processes described herein may be changed and are not limited to the manner described herein. Furthermore, the actions of any flowchart need not be implemented in the order shown; nor do all actions necessarily need to be performed. Also, those actions that are not dependent on other actions may be performed in parallel with the other actions. The scope of the embodiments is in no way limited by these specific examples.Numerous variations, whether explicitly stated in the specification or not, such as differences in structure, dimensions, and use of materials, are possible. The scope of the embodiments is at least as broad as indicated in the following claims.

[0117] Advantages, other benefits, and solutions to problems have been described above with reference to specific embodiments. However, the advantages, benefits, solutions to problems, and any components that may cause an advantage or solution to occur or become more apparent are not to be construed as a critical, required, or essential feature or component of any or all of the claims. REFERENCES 100 The implanted computer system comprises a data storage unit. 102 Data storage unit 104 Centralized Processing Unit 104a Module Situation Analysis 104b Micromobilization module 104c Module for dialogic idea generation 104d Action framework module 104e Piloting Module 104f Module Emergence Analysis 106 User interface 106a Display device 106b Variety of interactive devices 108 Collaborative Module 202 - 1. Situational Analysis 204 - 2. Micromobile -sation 206 - 3. Dialogic Idea Generation 208 - 4. Drama Framing 210 - 5. Piloting 212 - 6. Emergency 214 Reflection on action 216 Reflection as a recommendation for action 218 Reflection in / about action 220 Reflection as a recommendation for action 222 Justice 224 Care 226 Solidarity 228 actor interfaces 230 Ethical adaptation 232 Reflection for / in Action 302 Knowledge 304 needs 306 Ideas / Imagination 308 cooperations / partnerships 310 resources 312 experiences 314 SELF 316 Action 402 values 404 Performance 406 Social Encounters 408 interests 410 Knowledge 412 Intersectional 414 Institutional Investors

Claims

[1] A computer-implemented adaptive innovation system (100) comprising: a data storage unit (102) configured to store data related to a socio-ecological system, climate risks, and community actor information; a centralized processing unit (104) configured to perform various calculations and operations associated with the adaptive innovation model; and a user interface (106) serving as a means of interaction between the system and its users. [2] The system of claim 1, wherein the centralized processing unit (104) further comprises: a situation analysis module (104a) configured to identify critical elements, interrelationships and discursive positions of actors within the socio-ecological system based on the stored data; a micro-mobilisation module (104b) configured to facilitate processes for organising community actors and building consensus for the development of adaptation strategies through interactive platforms; a dialogic ideation module (104c) configured to enable processes of collective imagination and joint development of multiple adaptation pathways through deliberation and joint decision-making; an action framework module (104d) configured to translate emerging ideas into actionable models and visualizations for systematic exploration; a pilot module (104e) configured to implement processes for iteratively testing and refining the working models in real-world scenarios; and an emergence analysis module (104f) configured to analyze emergent patterns, structures, and consequences resulting from adaptation efforts. [3] The system of claim 1, wherein the user interface (106) comprises a display device (106a), the user interface (106) further configured to: to display the results of the modules situation analysis, micro-mobilisation, dialogic idea generation, action design and piloting, whereby the results are displayed via the display device (106a); and Receiving input from community actors and stakeholders during the adaptive innovation phases, using a variety of interactive devices (106b) to obtain the inputs, the inputs facilitating reflective practice by allowing users to provide feedback and make adjustments throughout the adaptive innovation model. [4] The system of claim 2, wherein the situation analysis module (104a) is further configured to perform scope review, participatory mapping, and driver and barrier analysis. [5] The system of claim 2, wherein the micromobilization module (104b) is configured to facilitate collaborative visioning and risk and vulnerability analysis processes. [6] The system of claim 2, wherein the dialogic ideation module (104c) is configured to explore multiple possibilities and generate new ideas for implementing adaptation paths. [7] The system of claim 2, wherein the action framework module (104d) is configured to examine the feasibility, resilience, and resource requirements for implementing the actionable models. [8] The system of claim 2, wherein the pilot module (104e) is configured to enable iterative testing, refinement, and upscaling of the working models based on feedback from community stakeholders. [9] The system of claim 2, wherein the emergence analysis module (104f) is configured to analyze intended and unintended consequences of the adaptation efforts. [10] The system of claims 1 and 3, further comprising a collaboration module (108) in communication with the user interface (106) configured to facilitate collaboration and knowledge sharing between community actors and stakeholders throughout the adaptive innovation cycle.