Innovative Projects Research Articles

Performance Evaluation of School Enterprise Collaborative Innovation and Practice of Innovation and Entrepreneurship Education Based on the Improved AHP Fuzzy Comprehensive Evaluation Method

Under the influence of the COVID-19, great changes have taken place in China’s economic structure and market subjects and college students are facing difficulties in employment. By carrying out collaborative innovation between schools and enterprises, cultivating high-quality talents to meet social needs has become an important way to solve difficulties. Based on the input-process-output principle, a performance evaluation index system for collaborative innovation is constructed, which includes 3 primary indicators and 22 secondary indicators. The weights of each indicator are determined using improved AHP. A mathematical model for evaluating the performance of school enterprise collaborative innovation is established using the fuzzy comprehensive evaluation method. The evaluation value of the innovation and entrepreneurship education case project is 0.82, indicating that the overall operation is in good condition. The cooperation between schools and enterprises has created a favorable atmosphere and accumulated rich experience for carrying out innovation and entrepreneurship education. Good results have been achieved in talent cultivation and scientific and technological output, but there are also problems such as low conversion rates of scientific and technological achievements. Based on the evaluation results, the article proposes suggestions to improve the performance of collaborative innovation between schools and enterprises. The research results provide theoretical reference for the performance evaluation of school enterprise collaborative innovation and the practice of innovation and entrepreneurship education.

Gesture speak: Hands-Free Computer Control with Hand Gestures and Voice Commands

In an era of advancing human-computer interaction, "GestureSpeak" emerges as a pioneering project that facilitates hands-free control over computing devices through intuitive hand gestures and voice commands. Leveraging the power of MediaPipe and OpenCV in Python, this innovative system enables users to seamlessly navigate their digital environments without the need for traditional input devices. By harnessing the capabilities of computer vision and machine learning, GestureSpeak interprets and responds to users' gestures and vocal instructions, opening new frontiers in accessibility and user experience. This abstract offers a glimpse into the transformative potential of GestureSpeak in revolutionizing the way we interact with computers, making technology more accessible and intuitive for all users. Advancements in human-computer interaction have led to the development of innovative projects that redefine how users interact with technology. This paper introduces a novel integration of two projects: GestureSpeak and VoiceRobot, which together enable intuitive and hands-free control over computing devices using hand gestures and voice commands. VoiceRobot complements GestureSpeak by adding voice command capabilities to the interaction model. Powered by speech recognition technology, VoiceRobot enables users to control devices and launch applications using natural language. With VoiceRobot, initiating the GestureSpeak project is as simple as speaking a command. The combined system offers unique benefits, including improved accessibility for users with mobility impairments and a more natural way to interact with computing devices. By integrating gesture recognition and voice commands, the project enhances user engagement and efficiency, paving the way for future advancements in human-computer interaction. Launching the Project with VoiceRobot:A notable feature of this integrated system is the ability to launch the GestureGenie project using VoiceRobot. By speaking a predefined command, such as "Activate GestureGenie," users can initiate the hand gesture control system effortlessly. This capability highlights the seamless integration of gesture recognition and voice command technologies, showcasing the project's versatility and user-friendly design. In conclusion, the integration of GestureGenie and VoiceRobot represents a significant advancement in human-computer interaction, offering a comprehensive solution for hands-free device control. This abstract provides insight into the combined capabilities of these projects and their potential impact on accessibility, user experience, and the future of interactive computing.

Managing coopetitive innovation: sharing while protecting knowledge in separated project teams

Existing research on coopetition acknowledges the dilemma companies face regarding sharing and protecting knowledge when developing coopetitive product innovation. To manage this dilemma, coopetitors can rely on two different organizational designs: the coopetitive project team (CPT) or the separated project team (SPT). The CPT fosters high knowledge sharing but creates uncertainty about knowledge protection. In contrast, the SPT limits the knowledge sharing but offers higher knowledge protection. While the CPT design has been studied in‐depth, the SPT design remains an underexplored black box. We know little about how knowledge is shared and protected within the SPT. To fill this gap, we conducted an ethnographic case study of a joint innovation project using SPT in the Chinese electric car industry. Our research shows how the SPT design manages the necessary knowledge sharing while protecting the knowledge. The project managers facilitate knowledge sharing by acting as the interface coordinator with the coopetitor, and the knowledge protection is guaranteed by a strict separation between the two coopetitors' operators. In SPT, the nature and the management of knowledge flows are not rigid but evolve according to the project stage.

Research on the Effect of Design Thinking on Enterprise Sustainable Innovation Ability and Team Performance

Design thinking is an interdisciplinary problem-solving approach that combines user-centered focus, challenge framing, visual thinking, experimental methods, and cross-functional collaboration. It has always been regarded as an important means to improve corporate sustainable innovation capabilities and team performance. However, its effectiveness is a controversial topic, with some proponents praising its ability to solve systemic problems while others question its applicability within traditional business processes and its impact on sustainable innovation success. Because of its exploratory nature, there is currently a lack of quantitative empirical research on its impact. Therefore, this study takes Huawei’s electric vehicle R&D sustainable innovation project as an example to explore the impact of design thinking on corporate sustainable innovation capabilities and team performance by analyzing the relationship between design thinking and team empowerment. The study included hypotheses, semi-structured qualitative interviews, quantitative questionnaire data, and structured equation model analysis. This study reveals the mechanism by which design thinking operates in industrial enterprises. There is a positive correlation between design thinking practice and team performance in sustainable innovation projects. Moreover, through the regulation of design thinking, team performance can be strengthened. However, the applicability of design thinking in highly sustainable innovation environments needs further research. In summary, this study provides fundamental insights into the complex relationships between design thinking, corporate sustainable innovation, and team performance, and provides direction for future research.

Building apatient-centred nationwide integrated cardiac care registry: intermediate results from the Netherlands.

This paper presents an overview of the development of an integrated patient-centred cardiac care registry spanning the initial 5years (September 2017 to December 2022). The Netherlands Heart Registration facilitates registration committees in which mandated cardiologists and cardiothoracic surgeons structurally evaluate quality of care using real-world data. With consistent attendance rates exceeding 60%, avaluable network is supported. Over time, the completeness level of the registry has increased. Presently, four out of six quality registries show over 95% completeness in variables that are part of the quality policies of cardiology and cardiothoracic surgery societies. Notably, 93% of the centres voluntarily report outcomes related to open heart surgery and (trans)catheter interventions publicly. Moreover, outcomes after implantable cardioverter-defibrillator and pacemaker procedures are transparently reported by 26centres. Multiple innovation projects have been initiated by the committees, signalling ashift from publishing outcomes transparently to collaborative efforts in sharing healthcare processes and investigating improvement initiatives. The next steps will focus on the entire pathway of cardiac care for aspecific medical condition instead of focusing solely on the outcomes of the procedures. This redirection of focus to acomprehensive assessment of the patient pathway in cardiac care ultimately aims to optimise outcomes for all patients.

INTEGRATION INTO GLOBAL VALUE CHAINS: EMPIRICAL EVIDENCE FROM RUSSIAN ENTERPRISES ON BARRIERS TO THE INNOVATION-EXPORT NEXUS

Little is known about the different barriers that firms face as they advance with their technology uptake and tap into new markets. We show on a sample of 36,900 industrial enterprises that inwards-oriented firms had access to financial means but shied away from the economic risks associated with innovation activities. Exporters see opportunities for their innovation projects, but shy away from the investments needed. The failure to provide a supportive eco-system for innovation is one of the reasons why Russian manufacturers have not succeeded to integrate into global supply chains beyond the territories of the former Soviet Union.

Virtual Assistance for Banking System using AI and ML

Virtual assistance has emerged as a transformative technology in the realm of banking, offering an efficient and user-friendly means of engaging with financial services. This abstract explores the concept of a virtual assistant for the banking system, a sophisticated digital entity designed to facilitate and enhance customer interactions within the financial sector. A groundbreaking solution to empower blind individuals in navigating the complex landscape of banking operations. Rooted in the ethos of inclusivity, the project merges cutting-edge technologies with a user-friendly interface, ensuring a seamless and independent banking experience for visually impaired users. The frontend of the application is developed using Flutter, offering a responsive and visually appealing cross-platform interface that caters to a diverse range of user preferences. Meanwhile, the Python backend orchestrates the intricate ballet of banking operations, communicating securely with banking APIs to perform tasks such as balance inquiries, fund transfers, and transaction history retrieval. Central to the project's innovation is the integration of speech-to-text and text-to-speech functionalities. Users can interact with the application through spoken commands, which are accurately transcribed into text, and receive information through synthesized speech, providing a natural and conversational experience. A sophisticated chat box further facilitates communication, enabling users to seek assistance and guidance effortlessly. The text-based conversation within the chat box becomes a crucial element in ensuring a user-friendly and accessible interface. Security is paramount, with robust measures in place to safeguard sensitive information, employing encryption for data such as login credentials and transaction details

Unimart: OLX for College Students

Unimart is an innovative project designed to address the ever-growing demand among university students for an efficient and collaborative platform to exchange study materials and related academic resources. In today's digital age, students are constantly seeking ways to enhance their learning experiences and expand their educational horizons. Unimart steps in as the solution, providing a dynamic online marketplace where students can freely and securely share textbooks, lecture notes, research materials, and various academic essentials. This platform seeks to foster a sense of community among students by promoting the exchange of knowledge, making education more accessible, affordable, and sustainable. By offering a user-friendly and organized interface, Unimart empowers students to connect with peers from diverse academic backgrounds, facilitating a peer-to-peer ecosystem that fosters collaborative learning and resource sharing. As a catalyst for academic success and community building, Unimart is poised to revolutionize how university students interact with their academic surroundings. This project promises to empower students by promoting collaboration.

МОДЕЛІ БІЗНЕСУ УКРАЇНСЬКИХ ОЩАДНИХ БАНКІВ

In the banking system, savings banks represent a special component, as they form their resource base mainly due to the accumulation of population savings. Problem Statement. Ukrainian savings banks are a factor in ensuring financial stability, but at the same time they are vulnerable to depositors’ panic in conditions of systemic stresses. Therefore, the analysis of their activities is important for understanding the prospects of the banking system. Savings banks in Ukraine differ significantly in scale and level of business technology. Leading savings banks are planned by the state for privatization, so they are designed to improve their investment attractiveness, at the same time, the status of state ownership gives such banks additional advantages in the market. The purpose is a comparative analysis of the business models of savings banks in Ukraine and the behavior of such banks on the market. Methods. The authors used the methods of comparative analysis, logical generalization, analysis and synthesis. Results. In Ukraine, savings banks are divided by origin into two categories ( state and private capital), and by a business model into those, focused on lending to business clients and those with a balanced composition of the loan portfolio. The monopoly of the state bank was broken by the entry of banks with private capital to the market. Savings banks are identified based on the ratio of funds raised by individuals to the total amount of balances on customer accounts. A blueprint of two business models for the savings bank segment was built, the structure of assets and liabilities, the development of the branch network and market positions in terms of deposits were compared. The analysis of the efficiency of a sample of savings banks was carried out and compared with the indicators of the banking system (profitability, return on operating expenses, profitability of the loan portfolio, cost of funds of individuals, the branching of branch network), as well as the impact of the business model on the investment attractiveness of banks was assessed, the volumes of savings and allocation of funds in loans to individuals were compared. Conclusions. The research made it possible to identify a specific group of banks with heterogeneous business models: firstly, banks that use public funds mainly to finance business clients, secondly, banks that have a relatively balanced credit portfolio for individuals and legal entities. The segment of Ukrainian savings banks is clearly dominated by two large state-owned banks, and given the state of war and citizens' trust in the state itself, there is no reason to expect a change in leaders. Digitization of products and processes will allow savings banks to compensate for the reduction of the branch network, but other banks also take advantage of this opportunity. and return on investment in technological innovation projects will bring effect in the medium term. To a large extent, the amount of savings accumulated by banks depends on two factors - customer trust and assessment of service quality. Savings bank managers should pay primary attention to this. Excessively high dependence of banks on the funds of individuals can be considered as a disadvantage, rather than as an advantage, if a bank itself works inefficiently.

Is innovation failure just a dead end?

This paper explores whether failures in innovation projects at the firm level contribute to strengthening firms’ innovative activities and the odds of future innovation. Building on the literature on NK fitness landscapes, our paper focuses on technological complexity as a key factor that influences the response to innovation failures, guiding whether to discontinue the current path or, alternatively, to leverage the failure as a foundation for future innovation success. We then test the hypothesis derived from our model using a panel data set constituted by ten waves of the Community Innovation Survey held in the Netherlands from 1996 to 2014. Our findings show the fundamental relevance of the different forms of learning that are available to the firm. In particular, we highlight the positive role of learning after a previous innovation project has been abandoned. Previous failure in innovating produces some forms of learning inside the firms, and this learning positively contributes to subsequent successful innovation. Moreover, by differentiating between radical and incremental innovation, and between complex and less-complex innovation landscapes, we highlight the role of incremental innovation over the whole spectrum of landscape complexity, while the role of radical innovation appears to be more limited to less turbulent technological landscapes.

Methodological system for the formation of meta-subject skills of primary school students in the context of STEM education

The significance of this study lies in fostering skills among school students that enables them to process information from several academic subjects, utilize science and technology at the same time, create new innovative projects, think critically and creatively, achieve meta-subject and personal outcomes, apply their abilities and knowledge to solve real-life problems, and make decisions based on current information utilizing available digital technologies. The main goal of this research is to propose a methodological system for the formation of meta-subject skills in primary school students in the context of STEM education. This framework encompasses several essential stages: a conceptual foundation for the formation of meta-subject skills of primary school students; methods of teaching through STEM; and interdisciplinary, meta-subject tasks and integrated projects aimed at fostering meta-subject skills. Moreover, the study describes an elective course program called “Secret of the World.” This course is intended for second grade learners and serves as a practical implementation of the proposed methodology. This course focuses on the promotion of integrated learning based on common topics, application of scientific and technical knowledge, enhancement of critical thinking and problem solving, stimulation of curiosity in science and technical subjects, and utilization of creative and innovative approaches to projects.

Decarbonizing Affordable Housing in New York City

Buildings account for about 30% of global greenhouse gas emissions. Retrofitting existing buildings for electrification and energy efficiency is a necessary first step toward building decarbonization. For the City of New York to reach its ambitious decarbonization goals, the city must create market conditions to allow rapid scaling up of deep energy retrofits. RiseBoro Community Partnership delivered one such innovative deep energy retrofit project called Casa Pasiva. This case study reveals ways in which affordable housing developers are uniquely positioned with many supporting policies in New York to become early adopters of deep energy retrofits, given their need to improve both business operations and tenant health. However, future projects still face steep obstacles ranging from funding gaps, a lack of familiarity with new building technologies, and conservative investors. RiseBoro’s successful Casa Pasiva pilot project identifies many of the remaining challenges related to deep energy retrofit capital projects as well as further opportunities to scale necessary retrofits across the New York affordable housing market. Readers will learn about options for and obstacles to implementing and scaling up deep energy retrofits in the affordable housing industry.

Unlocking carbon finance: Empowering energy communities for mutual benefit

This study investigates the potential of utilizing carbon credits to finance innovative local energy communities in Europe, addressing a significant gap in academic literature. Despite the growing interest in voluntary carbon credits as a mechanism for offsetting carbon emissions, there is limited evidence connecting local energy systems to voluntary carbon markets. The study explores whether carbon credits could serve as a practical tool for funding the development of energy communities, contributing to sustainable energy transitions and climate mitigation strategies. The research employs a comprehensive methodology to assess the quality of carbon credit projects and examines ten innovative energy community projects in Europe. Key findings reveal there is potential for using carbon credits to finance energy community initiatives. However, challenges persist, particularly regarding financing barriers and the volatile nature of carbon markets. The study underscores the importance of policy support in establishing clear standards for voluntary markets and promoting the accessibility of carbon offsets. Furthermore, it suggests potential solutions such as pre-financing agreements and the utilization of carbon market derivatives to enhance project viability. Overall, the study offers insights into the intersection between voluntary carbon markets and local energy initiatives, providing a foundation for further research and policy development in the field of local sustainable development and climate change mitigation.

Mapping the diversity & transformative potential of approaches to sustainable just cities

How can cities be more sustainable and just? This question has guided a process of synthesizing insights from previously funded research and innovation projects that deal with approaches tackling urban sustainability and justice. As part of this process, a database in the form of a knowledge commons was developed to gather 40+ approaches: sets of interventions, actions, strategies, solutions or policies that address urban sustainability and justice. This paper reflects on what we can learn from this database of approaches from an urban transitions perspective, both by sharing the method we used to develop the database and by analysing the content of those approaches and what research has revealed in relation to them. Not only do we introduce our methodology of co-creating the database (Section 2) we also present its outcomes in terms of the interlinkages between sustainable and just cities in the identified approaches (Section 3), their transformative potential (Section 4) and which institutional logics are involved (Section 5). We conclude that in addressing sustainability challenges in cities, tensions and contradictions emerge between ecological sustainability on the one hand and inclusivity, recognition and equity on the other (Section 6). Based on the identified approaches, we find that issues linked to justice are frequently glossed over, implicitly addressed, and instrumentalized in favour of ecological improvements or profitability which causes serious implications for future urban research and innovation. In order to address this gap, we present four recommendations for city-makers and city-thinkers across the globe to integrate sustainability and justice at the urban level.

SMART SHOPPING CART USING ESP

The Smart Shopping Cart is an innovative project that leverages the capabilities of the ESP32 microcontroller, along with various sensors and displays, to create a convenient and intelligent shopping experience. The system is designed to streamline the process of in-store shopping by automatically tracking and managing products as they are placed in the cart. ESP32-CAM: The heart of the system, responsible for controlling other components and performing QR code scanning. Ultrasonic Sensor: Used for object detection, triggering the camera to scan QR codes on products when they are placed in the cart. Buzzer: Provides audible feedback to indicate successful QR code scans and other system events. 128x64 OLED Display: Displays product information, scan status, and other relevant data to the shopper. Initialization: Upon starting, the ESP32-CAM connects to Wi-Fi and initializes the ultrasonic sensor, buzzer, and OLED display. Object Detection: The ultrasonic sensor continuously measures the distance between the sensor and objects. When a product is placed in the cart, the sensor triggers the camera. QR Code Scanning: The ESP32-CAM camera scans the QR code on the product, extracting its information such as name, price, and other details. Feedback: Upon successful QR code scanning, the buzzer provides an audible confirmation, and the OLED display shows product information and total cost. Key Words: Buzzer,ESP-32CAM, Ultrasonic Sensor, 128*64 OLED Display

Braille-Vox Pro Empowering Inclusive Communication

Braille-Vox Pro is an innovative project with the objective of creating a voice-to-Braille conversion system for individuals with vision impairments. The project intends to overcome the reading and writing difficulties encountered by visually impaired individuals, which can have a substantial impact on their ability to access information and communicate effectively. By turning spoken words into Braille text in real-time, the technology will give a practical answer to these issues, allowing visually impaired people to be more autonomous and productive. The research employs advanced natural language processing algorithms capable of effectively recognizing and interpreting spoken words and translating them to Braille text. Also, the system will include a Braille display device that will allow visually impaired individuals to read the transformed text. The development of this technology will give visually impaired individuals with a new degree of accessibility and inclusion, providing them more effective communication and information access. The Braille-Vox Pro project is a huge advancement in assistive technology, providing visually impaired folks with a much-needed answer to their difficulties. By allowing individuals to read and write Braille with their voice, the technology will enhance their capacity to communicate, gain access to information, and participate more fully in society. This project has the potential to aid millions of visually impaired individuals worldwide, which is a tremendous impact. The Braille-Vox Pro project is an innovative and vital Endeavor that will have a significant influence on the lives of individuals with vision impairments. [1] Keywords— Sub-images, Fuzzy logic, Image enhancement, Histogram, HSV, Image processing.

APPROVAL OF FORMATION OF PROFESSIONAL COMPETENCE OF FUTURE OPERATORS IN INFORMATION PROCESSING AND SOFTWARE

The article is devoted to the problem of researching the effectiveness of the process of forming the professional competence of future information processing and software operators in the process of professional training. It was found that the system of training future specialists in the process of professional training is aimed at ensuring their readiness for professional activity, taking into account all components of the educational process of the educational institution. It was clarified that the important factors of the problem of the formation of professional competence of future specialists in the process of professional training are inadequate readiness for professional activity and the appropriate level of their professional competence for such activity. It was revealed that the process of formation of professional competence of individuals for professional activity is influenced by the following factors: transformation of the content of training of future operators in information processing and software in professional (vocational and technical) education institutions; the prestige of the profession and its social significance; professional development and development of the personality of future specialists; acquisition of practical experience by students of education regarding the implementation of innovative technologies and project activities; purposeful mastery of professional skill and specialty; the formation of a culture of mastery and the readiness of qualified specialists for professional activity. It is specified that the formation of professional competence of future specialists in the process of professional training is oriented towards: purposeful formation of a complete system of professional competences in the process of professional training; development of motivational potential; enrichment of the development of individual and professional qualities, formation of self-assertion, improvement of personal and professional assets, acquisition of one's own style of work; accumulation of experience in professional skills for effective performance of professional activities, improvement of professional abilities and skills for further self-actualization, self-improvement of professional activities, development of quick adaptation to full-fledged future activities; improvement of assets of creative and scientific research, enabling professional self-development in professional activity. The study of the continuity of the development of future specialists to professional activity requires further development.

Confucianism culture and green innovation: Evidence from Chinese industrial firms

AbstractThis study contributes to the existing literature on green innovation by examining the impact of Confucianism culture on green innovation. Drawing on a culture perspective, we argue that Confucianism culture is significantly positively associated with green innovation. Using a sample of Chinese listed firms in the industrial sector from 2007 to 2019, we provide strong evidence to show that corporate green innovation projects are significantly more prevalent for firms surrounded by a strong Confucianism atmosphere compared to those in a weak Confucianism atmosphere. Additionally, we investigate the mediating roles of CEO myopia and employee‐related CSR, revealing that Confucianism culture, through both CEO myopia and employee‐related CSR mechanisms, influences green innovation. Our study contributes to the extant literature by shedding light into the black box of the positive role of Confucianism in green behavior.

Transformational Changes in the Creative Sector under the Influence of Generative AI Technologies

Each time period of economic development is characterized by one or another key, central technology that links the technological structure together. In the 19th century, this technology became the use of steam engines, from the beginning of the 20th century – electricity and internal combustion engines, in the 90s – computerization and the emergence of network technologies, then – cellular communications and mobile broadband Internet, then – the emergence of social networks and social media. Now, according to the consensus opinion of industry experts, the function of such technology is performed by generative artificial intelligence, which emerged just a few years ago, but has already significantly changed many sectors of the economy. The article discusses the main aspects associated with the emergence of breakthrough technologies of generative artificial intelligence. The key factors that influenced the emergence of technological capabilities were studied, such as the growth of the computing capabilities of processors, a consistent increase in funding for innovative projects, and an increase in publication activity in this direction. Particular attention is paid to the characteristics of the value chain of generative artificial intelligence technologies. It is shown that hardware requirements are becoming higher, a previously non-existent stage of creating basic models appears, as well as a layer of companies adapting basic models to the tasks of business practice by learning from industry data. We have also shown that generative artificial intelligence technologies will have the greatest impact on the creative sector of the economy, since they allow us to significantly speed up and optimize processes at all stages of creating the value of a product, reducing the need for manual labor, but not replacing it completely.

Investigating the potential for students to contribute to climate data rescue: Introducing the Climate Data Rescue Africa project (CliDaR‐Africa)

AbstractThe majority of available climate data in global digital archives consist of data only from the 1940s or 1950s onwards, and many of these series have gaps and/or are available for only a subset of the variables which were actually observed. However, there exist billions of historical weather observations from the 1700s, 1800s, and early 1900s that are still in hard‐copy form and are at risk of being lost forever due to deterioration. An assessment of changes in climate extremes in several IPCC regions was not possible in IPCC AR6 WGI owing, in many cases, to the lack of available data. One such region is Africa, where the climate impact research and the ability to predict climate change impacts are hindered by the paucity of access to consistent good‐quality historical observational data. The aim of this innovative project was to use classroom‐based participatory learning to help transcribe some of the many meteorological observations from Africa that are thus far unavailable to researchers. This project transcribed quickly and effectively station series by enrolling the help of second‐year undergraduate students at Maynooth University in Ireland. The newly digitized African data will increase the temporal and spatial coverage of data in this important data‐sparse region. Students gained new skills while helping the global scientific community unearth new insight into past African climate. The project managed to transcribe 79 months of data at Andapa in Madagascar and 56 months of data for Macenta in Guinea. The digitized data will be openly and freely shared with the scientific and wider community via the Pangaea data repository, the C3S Climate Data Store, and the National Oceanic and Atmospheric Administration's (NOAA) National Centers for Environmental Information (NCEI) data centre in the US. The project model has the potential for a broader roll‐out to other educational contexts and there is no shortage of data to be rescued. This paper provides details of the project, and all supporting information such as project guidelines and templates to enable other organizations to instigate similar programs.