Cross-domain Collaboration Research Articles

Factors for sustainable cross-sector collaboration for health equity: a Dutch qualitative study

Abstract Background Cross-sectoral collaboration between healthcare and the social domain is necessary to address the complexity of health inequity. However, this collaboration is often unsustainable in the long-term, for example due to temporary budgets and professionals changing jobs. We explored the factors that facilitate or restrain sustainable cross-sectoral collaboration by applying an interdisciplinary theoretical lens combining insights from relevant frameworks from governance, interprofessional learning and health policy. Following, we applied the framework in an ‘Integrated Community Approach’ in two Dutch cities (Utrecht and Amersfoort). Methods A qualitative research was conducted, involving 32 semi-structured interviews with professionals involved in an ‘Integrated Community Approach’ in the two Dutch cities in 2022 and 2023. Participants worked at various levels of the municipality, or as a local professional in the medical or social domain in the community. Thematic analysis and a deductive approach were employed- based on the theoretical framework. Results We identified nine components as important for sustainable cross-sectoral collaboration. Whether these components acted as facilitator or barrier varied between participants, depending on their position and organizational context. The nine components could be summarized into three main mechanisms: 1) the foundation for collaboration, which is dependent on having a shared vision and the competencies to engage residents; 2) a pre-condition, which is having support at management level and having the right resources; 3) support, which is provided by data and flexibility. Conclusions Long-term cross-sectoral collaboration is important, complex and depends on various interconnected factors. To improve cross-sectoral collaboration in the long term, it is necessary to disentangle each theme and conduct in-depth analysis of each one individually to facilitate deeper understanding of the context and problem. Key messages • Collaboration between medical and social sectors is challenging, yet significance is clear. While the start is evident, sustaining the ‘how’ is unclear. • The opportunities and obstacles of cross-domain collaboration vary among stakeholders, influenced by both their organization and position within it.

BIOFAIR Data Network’s Listening Sessions for Engagement and Data Integration

During the last two decades, a wealth of data on biodiversity and associated environments has been mobilized in digital form. Collectively, these data provide a powerful resource that when curated and integrated with intention, can provide critical information to address emerging complex global biological, environmental, and public health challenges. Tapping into the vast potential of specimen, observation, and environmental data requires us to integrate diverse and multifaceted datasets, connect domain-specific communities, and bridge discipline-specific social norms and data infrastructures. Linking data and their respective communities is a critical next step to creating the accessible and enriched data source needed to empower broad integrative biological research and education. To initiate cross-domain collaborations, the Building an Integrated, Open, Findable, Accessible, Interoperable, and Reusable (*1) Data Network project, led by the Biodiversity Collections Network (BCoN) and funded by the United States National Science Foundation, convened stakeholders through six listening sessions over the summer of 2024. The sessions were aimed at building connections between disparate data communities—highlighting an iterative process of building a larger, interdisciplinary community from within. These listening sessions brought together representatives from federal agencies, the genetic data community, the ecology data community, the climate and environmental data community, the One Health community, and the biodiversity informatics community to initiate a collaborative and accessible partnership toward an integrative and expanded data network. Discussions focused on advancing data culture and infrastructure that meets emerging needs in research, education, conservation, biosecurity, and the bioeconomy. Participants discussed building on and bridging the Extended Specimen Network (ESN) vision with other existing conceptual frameworks for data integration and application (Lendemer et al. 2019, Thiers et al. 2019). Stakeholder groups will be brought together at an interdisciplinary workshop in early 2025, to develop a roadmap to augment existing initiatives with the aim of producing a FAIR (Findable, Accessible, Interoperable, and Reusable), open, integrated data network.

Predicting cross-domain collaboration using multi-task learning

Collaboration across different domains has become a promising fashion in the academic field. However, it faces significant challenges that prevent researchers from forming new collaborative relationships across domains. Current methods only focus on the homogeneity between researchers, neglecting the diverse motivations and complex interactions that underlie cross-domain collaboration. As a result, they lost many opportunities to identify potential collaborators. In this work, we propose a novel Cross-Domain Collaboration Prediction (CDCP) model that captures the diverse motivations of researchers using semantic encoding based on metapaths and models the complex interactions between research topics using bibliometric methods. In the CDCP model, we propose to jointly optimize two tasks, i.e., collaboration prediction and collaborative pattern prediction, by adopting a multi-gate network that flexibly leverages both structural and semantic features. Our model can effectively learn from both tasks and enhance its predictive performance and generalization ability. Extensive experimental studies on large publication datasets from various domains show that our method outperforms state-of-the-art methods on multiple indicators and can effectively predict diversified collaborations for researchers.

A Review of the Information Technology and Operational Technology Convergence Using Internet of Things within the Circular Economy

Abstract The historical separation of Information Technology and Operational Technology in organizations, particularly in the industrial sector, is being challenged by the digital transformation. This shift towards a converged platform is driven by technological advancements, market pressures, and environmental and regulatory considerations. This paper explores the convergence of Information Technology and Operational Technology through the Internet of Things within the Circular Economy. A comprehensive overview of the current scientific literature is provided using a systematic review method. Initially, the evolving landscape of the Information Technology and Operational Technology integration is reviewed, then Internet of Things and Circular Economy are presented. The findings of this study include the challenges of the converged solution implementation, such as the technical integration complexities, cybersecurity risks, organizational and cultural barriers, and workforce skills gap. Furthermore, the role of the Internet of Things is demonstrated using novel smart circular loops, products, and applications showcasing innovative ideas such as product-as-a-service models, digital circular practices, products with embedded sensors, energy harvesting, and modular and upgrade capabilities as well as novel digital factory use cases such as smart manufacturing and industrial symbiosis networks. The key findings also outline the best practices and recommendations for a successful implementation of this converged infrastructure, highlighting the importance of a strategic implementation and cross-domain collaboration to achieve operational efficiency and environmental sustainability. The insights provided in this paper are valuable for academics, practitioners, and policymakers aimed to understand and harness the digital technologies for advancing sustainable practices towards a smart circular economy.

Exploring the Successful Factors of Brand Collaborations Between KFC and Genshin Impact: A Case Study Analysis

In a post-pandemic era marked by a decline in consumer purchasing power, particularly in the restaurant industry, this paper delves into the successful collaboration between the international fast-food chain KFC and the popular open-world role-playing game, Genshin Impact. This collaboration, which occurred in 2021, generated extensive buzz and recognition on social media platforms. By analyzing this case, we explore the effective marketing strategies and communication methods that led to the success of this co-branding venture. The study uncovers the significance of cross-domain collaborations, emphasizes the impact of consumer groups, and delves into the role of social media and the fan effect in marketing strategies. It also sheds light on the social comparison effect, pivotal in influencing players' motivations and purchasing behavior. Furthermore, it examines KFC's hunger marketing approach and the integration of fast-food industry characteristics. The paper concludes with suggestions for addressing supply chain management, resource optimization, and service quality in co-branding campaigns. Despite these valuable insights, the study acknowledges certain limitations and points towards future research directions.

The pragmatic cycle of knowledge work: Unlocking cross-domain collaboration in open innovation spaces

Collaborating is increasingly characterized by working across domains and organizations. Teams rapidly form and dissolve, actors and settings frequently change, yet most academic research focuses on stable organizations and team configurations with familiar domains. This leads to the question: how do people successfully collaborate across domains and organizations in circumstances where there is little shared knowledge? We explored this question within the nascent digital health sector when Hacking Health—a non-profit organization—used an open innovation approach to bring together actors from different domains and organizations in temporary spaces to spur new collaborations. We found that actors faced many challenges and engaged in four interconnected types of knowledge work to address them: exploring, complementing, mapping, and modeling. This article reveals how Hacking Health’s open innovation approach used different kinds of temporary spaces to progressively orient actors in their knowledge work to develop sustainable collaborations to create digital health solutions.

Position Paper: fragmented youth healthcare services in the Netherlands endanger treatment of teenage boys with psychiatric disorders

For children who show strongly deviant behaviour in the Netherlands, a distinction is made between behavioural problems and psychiatric problems. As a result, two different domains have emerged over time, each with its own legal frameworks and inclusion and exclusion criteria. Consequently, there is no well-organized, coherent system for youth mental health care in the Netherlands. This strong dichotomy raises the question whether patients are being admitted to facilities where they are receiving appropriate care. In addition, referral bias can arise, because the type of complaint with which a young person presents is often dependent on the type of coping of the individual and thus, in turn, the gender of the patient. In this Position Paper, we examined the gender distribution at a youth psychiatric high and intensive care (HIC-Y) and other streams of youth care in the Netherlands to explore possible inequities in access to psychiatric care among children and adolescents. Results show that girls are significantly more likely than boys to be admitted to the HIC-Y for suicidal thoughts, self-harm and emotional dysregulation. In fact, girls account for 80% of all admissions, while boys account for only 20%. In contrast, regional and national reports from youth services and probation show a majority of boys being admitted (56–89%). The way care is organized (lack of cross-domain collaboration and the interplay between gender-dependent coping and exclusion criteria) seems to play a role in the underrepresentation of boys in acute psychiatry and their overrepresentation in secure youth care. Based on our research results, the concern is raised whether boys have a greater chance of undertreatment for psychiatric problems. Further research is needed to better understand the underlying factors that contribute to gender bias in psychiatric admissions, and to develop interventions that promote gender equality in healthcare.

Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics.

Over the past decade, several urban visual analytics systems and tools have been proposed to tackle a host of challenges faced by cities, in areas as diverse as transportation, weather, and real estate. Many of these tools have been designed through collaborations with urban experts, aiming to distill intricate urban analysis workflows into interactive visualizations and interfaces. However, the design, implementation, and practical use of these tools still rely on siloed approaches, resulting in bespoke systems that are difficult to reproduce and extend. At the design level, these tools undervalue rich data workflows from urban experts, typically treating them only as data providers and evaluators. At the implementation level, they lack interoperability with other technical frameworks. At the practical use level, they tend to be narrowly focused on specific fields, inadvertently creating barriers to cross-domain collaboration. To address these gaps, we present Curio, a framework for collaborative urban visual analytics. Curio uses a dataflow model with multiple abstraction levels (code, grammar, GUI elements) to facilitate collaboration across the design and implementation of visual analytics components. The framework allows experts to intertwine data preprocessing, management, and visualization stages while tracking the provenance of code and visualizations. In collaboration with urban experts, we evaluate Curio through a diverse set of usage scenarios targeting urban accessibility, urban microclimate, and sunlight access. These scenarios use different types of data and domain methodologies to illustrate Curio's flexibility in tackling pressing societal challenges. Curio is available at urbantk.org/curio.

The development and evaluation of a multidisciplinary consultation between professionals from the medical, social, and public health domains to deliver tailored care and support for pregnant women and young families in vulnerable positions. 

The population in the region South-Limburg (NL) suffers from a deprived health status compared to rest of the Netherlands, including unfavorable perinatal health outcomes that impact the child’s health and development in later life. To turn the tide, South-Limburg aims to achieve a ‘promising start to life’ by focusing on the first 1,000 days of life: pregnant women and families with children aged 0-2 years. In particular, the focus is on pregnant women and families in a vulnerable position, facing (a combination of) medical and, especially, social problems (e.g., housing, financial, relational, psychosocial, addiction). Delivering timely and appropriate tailored care and support to this target group requires close cooperation between professionals from the medical domain (i.e., midwife, maternity care, GP), social domain (i.e., social work, municipal support), and public health domain (youth health care). 
 In three low socioeconomic status municipalities in South-Limburg, a co-creation process was started in 2020 to strengthen cross-domain collaboration in delivering timely care and support tailored to the needs of pregnant women and families with children aged 0-2 years in a vulnerable position. Professionals’ input was derived during meetings with stakeholders from the three domains. Input from pregnant women/young families in a vulnerable position was gained through interviews regarding their experiences with current care/support during pregnancy and in the first years of the child’s life. These showed that, among others, they often feel unheard or ignored by professionals; lack of clarity about who is in charge when several professionals are involved; lack of attention for psychosocial problems; insufficient father involvement by professionals.
 As a result of the co-creation process, a case-based multidisciplinary consultation was developed. Essential elements are: professionals from the medical, social, and public health domain join in, as well as the pregnant woman or family involved; professionals use the shared language of ‘Positive Health’ to match the family’s needs and wishes; agreements on referral to care or support are noted in a care plan and the family is assigned a case director.
 The case-based multidisciplinary consultations in the three municipalities started at the beginning of 2022. A practice-based action research is conducted to gain insight into its creation, implementation, functioning, and further development. Research methods include interviews, observations, and questionnaires. First results are available from 24 interviews with professionals involved in the co-creation process about their views on cross-domain collaboration. Themes addressed are among others: importance of early identification of problems; better understanding of other professionals’ expertise; conditions that facilitate or hinder cross-domain collaboration. Results are discussed in the four-yearly meetings per municipality with professionals from the medical, social, and public health domain. Points for action are prioritized and will be monitored over time. Also, client journeys will be conducted to address families’ experiences with the multidisciplinary consultation and referral to care and support.
 This form of cross-domain collaboration, supported by a practice-based action research, can serve as an example for the international audience interested in improving population health by investing in prevention at the very early onset of life.

Cross-domain collaboration. Lessons learned from three different communities in the Netherlands

Introduction: Primary care in the Netherlands faces major challenges. Health problems are becoming more complex and care is preferably provided in one's own environment. Application of the concept of Positive Health reveals that non-medical care is sometimes the better option. The aim is for people to be self-reliant, if required in collaboration with informal caregivers or applicable citizen initiatives. We call it collaborative self-reliance. These challenges require reorganization towards a health care system in which citizens, health- and welfare professionals and policy makers collaborate. However, the development of such collaboration is context specific and challenging.
 Aim and Methods: We applied participative action research to identify success factors and barriers to develop cross-domain collaborations in care and support networks, including healthcare and welfare professionals and citizens. Three different communities in the south-east part of the Netherlands were included, a small rural village, a medium sized village and a multicultural city district. Researchers joined the three communities to closely follow the developments and provide support from September 2021 to November 2022. Data were collected through document analysis, observation and interviews. Our approach was informed by community development theory. Interviews were thematically analysed using the qualitative analysis software Atlas.ti.
 Results: Preliminary results revealed several important points of attention. As regards their collaboration, networks should formulate an ambition but also concrete objectives. Because the energy is in the action, the group must prevent it from becoming a discussion group only without taking concrete action to achieve its objectives. Nevertheless, regular meetings are necessary for continuation towards the objectives of the network. For the change process, next to a driving force, a liaison is important to facilitate cross domain collaboration. Knowledge and skills in change management improves the efficiency of the process. Furthermore, it is important to consider the ecological level that the network intends or needs to influence to reach your goal. To involve citizens, a sense of community is a prerequisite. In general, successful networks are not discouraged by not achieving a goal, they reflect and persevere. Final results will be presented during the conference.
 Conclusion: The development of care- and support-networks is a complex and lengthy process in which various barriers need to be overcome. Consequently, it requires commitment and perseverance of all participants. A driving force and liaison are important to keep the process going. Making sound collaboration agreements is valuable for sustainable collaboration.
 Implications: It is recommended to be aware of the socio-ecological level on which the network operates. Networks need to identify concrete objectives and invest in commitment of stakeholders to facilitate sustainable collaboration. It is relevant to identify quick wins at the start in order to conserve the energy and commitment of the group.

Finding a way towards Population Health Management on the Central Coast, Australia

Background: To improve the health and wellbeing of the community members on the Central Coast, New South Wales, Australia, this project undertook an assessment of readiness for a Population Health Management (PHM) and neighbourhood based initiative. To do so, it focussed on community needs and strengths and weaknesses of local management on the Central Coast. The Central Coast Local Health District (CCLHD) and Hunter New England and Central Coast Primary Health Network (HNECCPHN) commissioned a joint strategic needs assessment (JSNA). During the project local managers, health professionals, and community members were consulted to gain insight in the readiness and needs of the region. 
 Methods: The JSNA carried out a data driven deep-dive of the health and care needs at a neighbourhood-level with the intent to drive a co-designed intensive place-based population health improvement initiative that optimizes health outcomes, improves access to care and care equity, and reduces total costs to the health system. Supported by the PHM Maturity Index (PHM-MI), the capability across the Central Coast to enable the implementation of PHM was mapped. This allowed gaining insight in the readiness of local management for this pro-active approach. 
 Results: This project is still running and aims to be completed in 2023. Preliminary results of the PHM-MI demonstrate an overall low occurrence of items that support the implementation of PHM. Participants recognized the need and voiced the willingness to work collaboratively. However, they confirmed the absence of a guiding coalition and visionary leadership leading to cross domain collaboration. The major weakness of the Central Coast is the high level bureaucracy and political influence in the health system. This hinders top-level collaboration between multiple organizations, and limits the possibilities of financial changes, the building of an integrated data-infrastructure, and the probability for community ideas to become sustainable. The major strengths of the Central Coast are the strong identity of the community members to the region, the willingness of local managers to focus on the community needs and the availability of data. The project shows that the Central Coast is a region with a lot of hidden potential for a neighbourhood based PHM initiative. 
 Discussion: Using the PHM-MI to map the capability of the Central Coast started the conversation about prerequisites that support a neighbourhood based initiative. Bringing several stakeholders together to participate in the project was challenging, but resulted in new connections between organizations. A next step for the Central Coast is to gain an overview of the most prominent processes in organizational governance, payment streams and budgets, involvement and consultation of community members, and availability of datasets. Therefore, inter- and intraorganizational collaboration is important to bring the hidden strengths on the Central Coast together and build a strong enabling environment to support the growth of the health and wellbeing of the community members on the Central Coast.

Crafting digital business ecosystems for cultural and creative industries

The Cultural and Creative Industries (CCI) thrive on innovation and creativity, necessitating robust cross-domain collaboration among diverse stakeholders. However, the current state of CCI co-creation mechanisms is marked by inadequacies. The primary objective is to provide practical and effective strategic guidance for co-creation endeavors within the dynamic CCI landscape. This study employs the Root Cause Analysis (RCA) method to identify and analyze critical elements for industrial co-creation, offering a comprehensive framework for understanding the intricacies of co-creation processes. The Cultural and Creative Industries Digital Business Ecosystem (CCI-DBE) model is then developed to encompass four foundational pillars: participation of multiple stakeholders, mechanism of co-creation, uniqueness of consumer experience, and output of co-created value. Participation of multiple stakeholders recognizes the importance of integrating perspectives from content creators, other companies, suppliers, and customers. The mechanism of co-creation delves into the necessity of a robust platform, supported by technological infrastructure, to facilitate seamless resource and knowledge exchange. The uniqueness of consumer experience emphasizes the need for tailoring offerings to meet consumers' unique experiential and meaningful needs. Output of co-created value focuses on enhancing product novelty, resource sharing, communication efficiency, information interaction, and cross-domain integration. This CCI-DBE model not only contributes to academic discourse but also provides actionable insights for practitioners seeking to navigate and enhance the co-creation process within the evolving CCI landscape. It stands as a valuable guide for fostering innovation, collaboration, and strategic alignment in the CCI sector.

Enhancing public research on citizen data: An empirical investigation of data synthesis using Statistics New Zealand’s Integrated Data Infrastructure

The Integrated Data Infrastructure (IDI) in New Zealand is a critical asset that integrates citizen data from various public and private organizations for population-level analyses. However, access restrictions within the IDI environment present challenges for fully utilizing its potential. This study examines synthetic data as a potential solution, offering a comprehensive framework for generating customizable and easily implementable synthetic data. The evaluation of multiple data synthesis algorithms considers statistical similarity, machine learning utility, and privacy concerns. The findings reveal that distance-based algorithms, like SMOTE, strike a balance between accuracy and computational cost, making them suitable for IDI. The study also identifies the need for a clear release guide for micro-level synthetic data and proposes exploring a fully automatic data evaluation pipeline in future research. Additionally, the study highlights opportunities enabled by synthetic data, such as familiarization with administrative datasets, reproducibility of studies, pilot analyses, and enhanced cross-domain collaboration. Overall, the proposed framework and findings offer valuable insights and guidance for synthetic data projects within the IDI, advancing synthetic data privacy research and facilitating reproducibility, collaboration, and data sharing in the IDI ecosystem.

Breaking down barriers of interprofessional collaboration between social work and financial and employment service organizations

PurposeThe growing number of people with multiple problems in different areas of life means that cross-domain interprofessional collaboration is becoming increasingly important. This study aims to focus on interprofessional collaboration between professionals from social work and financial and employment service organizations in The Netherlands. This type of cross-domain collaboration is still mostly superficial, and limited empirical knowledge is available about its beneficial factors.Design/methodology/approachThe interprofessional collaboration model of Mulvale et al. (2016) was used as theoretical background for the research methodology and to reflect on the findings of our study. Data was collected through a qualitative study among professionals (N = 18) from social work and financial and employment service organizations in three different Dutch municipalities.FindingsSimilar team-level collaboration mechanisms of Mulvale et al.’s (2016) model were seen within this study. Joint client meetings were very beneficial for the interprofessional collaboration. Further beneficial factors include the decision-making process, team vision, client as an equal member, open communication and the appointment of a coordinator.Research limitations/implicationsFurther special attention is needed to determine how best to allocate co-ordinating tasks, and how organizational and policy contexts affect the functioning of interprofessional collaborative teams.Originality/valueThis study offers an empirical view on a cross-domain collaboration between social work and financial and employment service organizations, by using Mulvale et al.’s (2016) model. In addition, this study also offers special attention to the role of the client in interprofessional collaborative teams.

Fully Distributed Fixed-Time Control of Cross-Domain Swarm Robots for Non-Cooperative Target Tracking

This brief focuses on solving the tracking problem of swarm robots with a non-cooperative target, where two core issues namely non-cooperative target and cross-domain collaboration are both taken into account. In order to solve the former issue, the trajectory of the non-cooperative target is constructed by a network model. This is more superior than the target system matrix observer-based method that adopted extensively in literature, as the latter one will cause the self-loop problem. Besides, the target information is no longer required in solving the regulation equation. Furthermore, a fixed-time cross-domain control method merely relying on outputs of a robot and its neighbours is proposed. Namely, the network-based fixed-time control method proposed in this brief is fully distributed without self-loop and requirement of the non-cooperative target’s system matrix. With the proposed controller, the cross-domain robots are able to successfully track a non-cooperative target within a fixed time, which is also verified by some numerical simulations.

Employing digital technologies for effective governance: Taiwan's experience in COVID-19 prevention

ObjectivesIn the digital era, it is important to harness digital technologies to implement effective governance. This paper aims to propose a conceptual framework for the digital governance roadmap. It mainly is the meaningful integration of digital technologies into drafting policy accompanied with comprehensive planning and flexible strategy for better governance. The high-quality, timely, and reliable database is one of the key digital infrastructures for the meaningful employment of digital technologies. MethodsTaiwan's experience in COVID-19 pandemic prevention is employed as the case to explore the roadmap of digital governance. The Taiwan government and civil society harnessed the power of its National Health Insurance (NHI) database, and further employed data science and GIS to develop the Face-mask distribution system and QR code registration system. Comprehensive planning and flexible strategy were conducted to address public concerns, such as data privacy and digital divide. ResultsHarnessing the NHI database's power, the GIS-based Face-mask distribution system and QR code registration system contributed to reducing the infections, panics, and public concerns including data privacy and digital divide for pandemic prevention. ConclusionsWhile exploring the systematic digital governance roadmap, it is necessary to fulfill three basic criteria: (1) comprehensive planning, (2) flexible strategies, and (3) the meaningful employment of digital technologies. As one of the key digital infrastructures for the employment of digital technologies, the high-quality, timely, and reliable database is essential to release the power of data-driven for cross-domain collaborations, multiple engagement, innovative applications, and digital empowerment, towards achieving effective governance. Public Interest SummaryThis paper proposes a conceptual framework for the roadmap of digital governance, which highlights the importance of the meaningful integration of digital technologies into drafting policies accompanied with comprehensive planning and flexible strategy to achieve effective governance. During the process, the high-quality, timely, and reliable database acts as a key role in facilitating the operation of digital infrastructure for the employment of digital technologies.Taiwan's experience in COVID-19 prevention by harnessing the power of the NHI database and developing the GIS-based Face-mask distribution system and QR code registration system effectively addressed the public concerns on data privacy and digital divide towards effective pandemic prevention. This could be an example provided for other countries to balance public concerns and effective governance.

Hierarchical Cross-Domain Satellite Resource Management: An Intelligent Collaboration Perspective

The expansion of satellite applications induces the formation of the multi-domain satellite system (MDSS) containing multiple domains with specific applications such as earth resource remote sensing and the Internet of remote things. Resource management is pivotal in enhancing the scheduling capability of the MDSS. However, this is challenging since the dynamic buffer space and communication opportunity, as well as the uncertain data traffic, exacerbate the difficulty of matching satellite resources with data traffic. Moreover, the coexistence of resource competition and collaboration across domains aggravates the dilemma of cross-domain collaboration. In this paper, we propose a hierarchical cross-domain collaborative resource management framework that can flexibly allocate the mission data through local intra-domain and global cross-domain scheduling. Then, to match the uncertain demands of missions with dynamic and limited resources, we propose a multi-agent reinforcement learning-based resource management method to guide collaboration for multi-satellite data carry-forward in a domain. Further, considering resource competition and collaboration in MDSS, we propose a domain-satellite nested matching game data scheduling algorithm to achieve pair-wise stable collaboration of cross-domain satellites. The simulation results indicate that the proposed algorithm improves the amount of offloaded data by 64.4% and 12.7% compared to the non-collaborative and the non-cross-domain schemes, respectively.

Social determinants of health derived from people with opioid use disorder: Improving data collection, integration and use with cross-domain collaboration and reproducible, data-centric, notebook-style workflows.

Deriving social determinants of health from underserved populations is an important step in the process of improving the well-being of these populations and in driving policy improvements to facilitate positive change in health outcomes. Collection, integration, and effective use of clinical data for this purpose presents a variety of specific challenges. We assert that combining expertise from three distinct domains, specifically, medical, statistical, and computer and data science can be applied along with provenance-aware, self-documenting workflow tools. This combination permits data integration and facilitates the creation of reproducible workflows and usable (reproducible) results from the sensitive and disparate sources of clinical data that exist for underserved populations.

Knowledge-supported Development of Function Models for Mechanical Products Using Intelligent Function Libraries

Today, there is an increasing need for cross-domain collaboration in development. In order to overcome the challenges arising from this cross-domain collaboration, current approaches focus on model-based, function-oriented product development. Model-based, function-oriented product development requires the modeling of functions in a modeling language such as the systems modeling language (SysML). Currently, the function modeling requires high modeling efforts. These arise especially when systems are decomposed to the elementary level for analysis or development. An approach used to reduce modeling effort is the use of function libraries. However, the effectiveness of these libraries is currently inhibited by the effort required to find suitable functions. The objective of this work is to enhance searching for suitable functions by proposing an intelligent function library, consisting of a SysML function library and an algorithm for filtering the library functions based on different search criteria. The algorithm supports the development team in the modeling of functions by automatic analysis of the functions already modeled and the suggestion of suitable functions from the function library based on this analysis. The innovation of this approach is, that the function library is easily customizable and flexibly extendable according to the company and their product portfolio.

Mutual Understanding, a foundation for cross-domain collaboration

The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 2.913 (2021 JCR, received in June 2022)The IJIC 20th Anniversary Issue was published in 2021.