Partnership Project Research Articles

N-TUTORR: Addressing Artificial Intelligence as one element of the transformation of Ireland’s technological higher education sector

A major transformation programme is underway across seven technological higher education institutions in Ireland. Investment of €40m #NextGenerationEU funding enables a programme to empower learners, to enhance staff capabilities, to improve the digital infrastructure, and to ensure long-lasting sustainable impact. Designed and implemented by significant collaboration of partner institutions, the programme explicitly adopts a holistic approach with inter-related work streams and work packages. The programme is underpinned by the six core themes of academic integrity, digital transformation, education for sustainability, employability, equality diversity & inclusion, universal design for learning. This comprehensive structure enables focus on key issues, emerging topics, and ensuring sustainable enhancement of learning, teaching and assessment across the technological sector. Multiple elements of the programme provided opportunities to reflect on the role of artificial intelligence, ranging from the perspective of challenges associated with academic integrity to the wider potential to be exploited to support and enhance learning and teaching. Students play an active role in considering these issues through focussed projects in partnership with staff and by acting as student champions to ensure that students‟ perspectives inform related discussions. Staff development opportunities have focussed on artificial intelligence and specific training is in place for senior institutional leaders. Active cooperation with the National Academic Integrity Network, which is facilitated by the national external quality agency, has led to complementary focussed activities. A national practitioners‟ network is being established to examine the impact of generative AI on higher education. Many of these structures could be replicated in other institutions or groups of institutions. While there are many examples of programme activities addressing important or topical issues, this paper particularly focuses on themes relating to the 2024 EDEN conference.

Applying a Participatory Action Research Approach to Engage an Australian Culturally and Linguistically Diverse Community around Human Papillomavirus Vaccination: Lessons Learned.

Globally, migrant and culturally and linguistically diverse (CALD) communities are known to have inequitable access to HPV vaccination. One participatory research approach used to engage CALD communities around vaccination is participatory action research (PAR), but we know little about the use of PAR to engage priority migrant and CALD communities around school and HPV vaccination. To address this gap, we partnered with our local Multicultural Health Service to understand how the largest CALD group in our region of New South Wales, Australia, engages with their local school and HPV vaccination program. Through a long-standing PAR relationship, we used a participatory research method (World Café) approach to explore the level of awareness and engagement a multi-generational community member had concerning HPV vaccination. We acted by sharing a co-designed information website to answer the community's questions about HPV vaccination. We then evaluated these engagements with surveys, focus groups and online analytic platforms. Last, we reflected with project partners and health service stakeholders on the overall project outcomes and shared our learnings. In our discussion, we shared our lessons learned and contributed to a wider conversation about the benefits, challenges, and practicalities of using PAR to engage a priority CALD community around HPV vaccination.

Analysis of 5G Capacity in Line-Of-Sight Condition of Urban Macro (UMa) Using 3.5 GHz Frequency

This study is projected to be the initial design for the implementation of 5G technology, particularly in the Urban Macro (UMa) scenario, with a frequency of 3.5GHz and a bandwidth of 100 MHz. 3GPP (3rd Generation Partnership Project) TR 38.901 recommends performing performance analysis with line-of-sight (LOS) situations using the propagation model urban macro (uMa). In this study, 100 users are distributed at random distances to examine system capacity using the frequency reuse factors K = 1/3 and K = 1/7. According to the calculation results, this study demonstrates that system capacity is dependent on user distribution arrangement and the frequency reuse factor approach used. A high frequency reuse factor increases bandwidth efficiency and yields more optimum capacity. Furthermore, distributing users near the base station will boost capacity.

Beyond BiCIKL: Towards Building an AI-Assisted “Biodiversity Supergraph”

BiCIKL (Biodiversity Community Integrated Knowledge Library) is a European Union (EU) Horizon 2020 project (2021–2024) building a new community of research infrastructures (RIs), researchers and other stakeholders, through improved access to interlinked, open and FAIR (Findable, Accessible, Interoperable, Reusable) biodiversity data along the biodiversity research cycle (specimens, sequences, taxon names, publications) (Penev et al. 2022). The project’s 14 partners developed or substantially improved 16 tools and services currently in process of onboarding to the European Open Science Cloud (EOSC), presented in the FAIR Data Place (FDP) of BiCIKL’s flagship product, the Biodiversity Knowledge Hub (BKH). The tools and data were used in Open Call projects, performed by research groups worldwide. A key achievement of BiCIKL is the establishment of several new bi-directional links between the participating RIs through shared and interoperable data standards and web services. The sustainability of the BiCIKL services and especially of the strong collaborative spirit developed through the project will be ensured by a membership agreement for the BKH maintenance and further development. The results of BiCIKL are diverse and tackle various aspects of the implementation of open science practices in biodiversity research. The project partners and external collaborators from the Open Call projects published more than 80 papers and conference abstracts (see the article collections in Penev et al. 2022a and Thessen et al. 2023), two policy briefs (Penev et al. 2024, Agosti et al. 2024), three Biodiversity Information Science (TDWG) symposia (2021, 2023, 2024), several videos and factsheets and other training materials, guidelines and best practice recommendations, and so on. In the special focus of BiCIKL was the extraction and liberation of data from the PDFs of several thousands of published biodiversity articles making it accessible and re-usable. The new BiCIKL community proved to be successful in both technological innovation and long-lasting spirit of collaboration between biodiversity and genomics researchers, data repositories, RIs, publishers and other stakeholders. Beyond BiCIKL, we envisage our work towards further integration and interoperability between data domains by embracing human-in-the-loop collaborations, enhanced by Artificial Intelligence (AI). The implementation of AI and Large Language Models (LLM) should be possible when considering an important condition: to understand the complexity of past, recent and future changes in biodiversity and natural environments the use of AI tools should be based on аdequately curated, semantically structured and interlinked biodiversity data. We see this radical new step as a concerted community effort towards building a “Biodiversity Supergraph” (Fig. 1), understood here as a two-component ecosystem consisting of: centrally orchestrated system of tools and services, and distributed sources of transformed, semantically enhanced FAIR Linked Open Data, supplied by the partnering RIs. centrally orchestrated system of tools and services, and distributed sources of transformed, semantically enhanced FAIR Linked Open Data, supplied by the partnering RIs. The “Biodiversity Supergraph'' will provide integration of the biodiversity data on a scale and operational level that has never been attempted before. It is key for the next decade, to enable a baseline of global, biodiversity-related information serving organisations, academia, industry and society.

Fuzzy financial risk analysis of net-zero transitions in public–private partnership projects in Ghana

Fuzzy financial risk analysis of net-zero transitions in public–private partnership projects in Ghana

Did we achieve what we aimed for? Assessing the outcomes of a human–carnivore conflict mitigation and coexistence project in Europe

Monitoring and evaluation practices, demanded by nature conservation project donors, often focus on practical outputs, leaving the assessment of intended short and medium‐term outcomes and long‐term impacts challenging. This study employs a merger of the conflict intervention triangle model (CITM) and its three dimensions relationship, substance, and process, together with the logical framework approach (LFA) within the context of a human–wildlife conflict and coexistence (HWCC) project (LIFE EuroLargeCarnivores) in order to assess project correlated outcomes on stakeholder level over time.Two stakeholder surveys were conducted across 14 project partner countries, capturing baseline perceptions in 2018 and assessing changes in 2021. To assess the actual influence of the project with its focus on conflict mitigation, we applied an ex post counterfactual analysis. Results indicate positive developments in all dimensions of the CITM. The influence of the project is demonstrated by statistically significant differences in response behavior between participants and non‐participants of project interventions. The overall outcome regarding beliefs in satisfactory future management of increasing large carnivore populations, is more intricate. Significant differences are observed among three selected main stakeholder categories over the project's timeframe. While nature conservationists maintain high confidence levels, confidence of hunters and livestock raisers declined. However, results for participants of project interventions depict a significantly lower decline in confidence compared to non‐participants. Based on our findings, we provide insights how to efficiently evaluate outcomes of HWCC projects, offering recommendations for wildlife conservation practitioners. We conclude that HWCC projects are important also and especially in times of unfavorable frame conditions. Rigorous evaluation methods are essential to ensure efficient use of resources in order to maximize the outcomes of HWCC projects. The study highlights the need for long‐term evaluation to assess broader impacts at country, regional, and sector levels.

Investigating small sized metal blockage effects at 60 and 100 GHz using measurements and modeling approaches

Millimeter wave (mmWave) technologies at 60 GHz and 100 GHz bands are currently gaining significant attention for its potential to meet the demanding needs of next-generation networks. These include ultra-high data rate, ultra-low latency, high spectral efficiency, and high end-to-end reliability. However, mmWave signals’ blockage remains a critical issue that affects the reliability of mmWave at 60 GHz and at 100 GHz bands due to the significant attenuations induced by the blockers (BLs). Not only blockers that have the size of a human body or even larger can affect the signal, but also smaller objects with much narrower dimensions, as narrow as 4 cm, can severely affect the signal strength and introduce an attenuation that reaches up to 12 dB at 100 GHz. In this paper we have conducted new measurements and presented results for three small copper sheets at each frequency band, aiming to investigate the blockage effect of small-sized metal objects on signal strength at these two frequency bands. Also, we have examined the performance of the knife-edge diffraction (KED) blockage model of the third-generation partnership project (3GPP) standards body and its evolved version named the mmMAGIC blockage model in such scenarios. Furthermore, we investigated the applicability of the two blockage models in capturing the attenuation characteristics of other materials-such as wood and glass. Experimental results supported by numerical models have shown that the induced peak attenuations are 5(12) dB, 10(23) dB, 23(23) dB for 4 ×\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ imes $$\\end{document} 4 cm, 8 ×\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ imes $$\\end{document} 8 cm, 16 ×\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ imes $$\\end{document} 16 cm copper blockers, respectively, at 60(100) GHz mmWave bands. Also, we have shown that both the 3GPP and mmMAGIC simulation models fail to accurately capture the attenuation characteristics of materials other than copper. The findings of this work highlight the importance of considering the dimensions and types of blockages when deploying reliable mmWave and sub-THz communications.

Initial study of the Palu-Parigi By-pass road policy in Central Sulawesi Province, Indonesia

This research aims to do the assessing the feasibility of the Public-Private Partnership project in investing in the construction of the Palu-Parigi By-pass road through a PPP financing scheme, thereby providing opportunities for the private sector to participate in the provision of special road infrastructure. In this context, experimental criteria for determining Value for Money (VFM) are applied using the PPP model, to evaluate projects. The main objective also emphasizes the provision of greater VFM Goods through private financing, through conventional methods that are economical, efficient and effective. Furthermore, financial performance measurement reports apply several methods, including Payback Period (PP), Net Present Value (NPV), and Internal Rate of Return (IRR) which determine the feasibility and time required for returns on invested capital. The previous Economic Feasibility Study of the Palu-Parigi By-pass Road Construction project also showed an EIRR value of 20.1% in 2014, illustrating the economic development of this work. In connection with the limitations currently faced by the Regional Budget Agency of Central Sulawesi Province, the next PPP scheme is recommended for road construction by prioritizing infrastructure completion after the 28 September 2018 earthquake and the COVID-19 pandemic. The DBFMT (Design–Build–Finance–Maintenance–Transfer) model was also applied to the project, with GCA responsible for design, construction, financing, periodic maintenance and transfer at the end of the collaboration agreement.

Multi-frequency smartphone positioning performance evaluation: insights into A-GNSS PPP-B2b services and beyond

In August 2023, Xiaomi unveiled the Redmi K60 Ultra, the first multi-frequency smartphone integrated with BeiDou-3 Navigation Satellite System Precise Point Positioning (PPP-B2b) services and employing PPP technology as the primary positioning method. The positioning enhancement service is provided by the Assisted Global Navigation Satellite System (A-GNSS) location platform developed by the China Academy of Information and Communications Technology. The signaling interaction between the server and the users strictly adheres to the Third Generation of Mobile Communications Technology Partnership Project Long-Term Evolution Positioning Protocol and the Open Mobile Alliance Secure User Plane Location framework. To comprehensively evaluate the Redmi K60 Ultra’s capabilities, this study designed six distinct experimental scenarios and conducted comprehensive research on multi-frequency and multi-GNSS observation noise, Time to First Fix (TTFF), as well as the performance of both GNSS-based and network-based positioning. Experimental results indicate that the GNSS chipset within the Redmi K60 Ultra has achieved a leading position in the consumer market concerning supported satellite constellations, frequencies, and observation accuracy, and is comparable to some low-cost GNSS receivers. A-GNSS positioning can reduce the TTFF from 30 to under 5 s, representing an improvement of over 85% in the cold start speed compared to a standalone GNSS mode. The positioning results show that the A-GNSS PPP-B2b service can achieve positioning performance with RMS errors of less than 1.5 m, 2.5 m, and 4 m in open-sky, realistic, and challenging urban environments. Compared to GNSS-based positioning, cellular network-based Observed Time Difference of Arrival (OTDOA) positioning achieves an accuracy ranging from tens to hundreds of meters in various experimental scenarios and currently functions primarily as coarse location determination. Additionally, this study explores the potential of the Three-Dimensional Mapping-Aided (3DMA) GNSS algorithm in detecting Non-Line-of-Sight signals and enhancing positioning performance. The results indicate that 3DMA PPP, as compared to conventional PPP, can significantly accelerate PPP convergence and improve positioning accuracy by over 30%. Consequently, 3D city models can be utilized as future assistance data for the A-GNSS location platform.

Zaske: 'Have more trust in the regional processes'

The Ministry of Social Affairs, Health, Integration and Consumer Protection of the State of Brandenburg (MSGIV) has commissioned Wirtschaftsförderung Land Brandenburg GmbH (WFBB) to carry out basic needs analyses for the five care regions in the state of Brandenburg. The IGES Institute was commissioned together with AGENON at the end of September 2023 with the project 'Preparation of care needs analyses for the healthcare regions of Brandenburg as well as initiation, organisation and content-related support of regional dialogue forums and project groups at different hospital locations'. The first study reports are now available. The project partners present them.

BELIEVE in collaboration: Effective evaluation partnerships for National Professional Development projects

<scp>BELIEVE</scp> in collaboration: Effective evaluation partnerships for National Professional Development projects

Enhancing community engagement, public involvement, and social capital through researchers’ participation in community dance projects: unexpected outcomes in underserved communities

BackgroundThe Dance and Health project aimed to promote public involvement in health research. Public involvement leads worked with project partner community groups, Aakash Odedra Dance Company and Moving Together, to develop a community engagement project with people living in low-socioeconomic areas/deprivation and diverse ethnic minority groups. Dance and Health included a weekly 60-min dance class and 30 min of facilitated health science discussion, that could either be a public involvement discussion for a research project, an activity about a particular biomedical research theme or ongoing discussions with a visiting researcher. The goal of this paper is to explore the impact of the Dance and Health project on the social capital of participants and provide key learnings on how to engage and build partnerships with people from underserved groups in health research contexts.MethodsQualitative interviews and focus groups were completed which explored participant and dance tutor experiences in community venues. Participants were aged between 22 and 90, most were female and were from Asian ethnic minority groups and White British groups living in deprived neighbourhoods in Leicester. Qualitative data were analysed using qualitative content analysis.ResultsThe responses to the Dance and Health project were positive across all the focus groups. Central themes identified were Feedback on the Project, Motivation to Exercise, Criticism of the NHS, Mental Wellbeing, Engagement in a Post Pandemic New Normal, Accessibility and Inclusivity, Empowerment and Building Social Capital.DiscussionThe focus groups evidenced that the project had broad impact. Participants expressed empowerment and ownership and described a range of social capital enrichment generated through the project including networks and friendships, access to the institutional resource of health science, and the opportunity to engage with a health and leisure activity that was valued and meaningful.

Digital morphology network for effective teaching of cytology, histology and histopathology for medical and biology curriculum. VM3.0 Erasmus+ project.

Digital microscopy transformation, the basis for the virtual microscopy applications, is a challenge but also a requirement in modern Medical Education. This paper presents the scope, background, methods, and results of the project "Digital Transformation of Histology and Histopathology by Virtual Microscopy (VM) for an Innovative Medical School Curriculum", VM3.0, funded by the European Union under the Erasmus+ framework (ref.no.2022-1- RO01-KA220-HED-000089017). The project was initiated at Grigore T. Popa University of Medicine and Pharmacy, Iași, Romania, with the support of Euroed Foundation, Iași, and cooperation of University partners from Gdansk (Poland), Plovdiv (Bulgaria), Alicante (Spain), and Patras (Greece) aimed to implement digital histology and histopathology teaching in a common network. The backbone of the project was the development of a Digital Slide Platform based on the scans of histological slides collected from all the partners of the participating universities and the creation of a simple and fast digital/internet communication tool that could be used to improve histology and histopathology teaching of medical and natural sciences students. The construction of a Virtual Microscopy Library (VML) has been based on the acquisition of whole scans of high-quality histological slides stained by hematoxylin and eosin (H&E) and other classical staining methods and description of various organs' details in English as well as respective languages of the project's partners. The VML can be used for different approches, both for students' instruction in classes as well as for individual students' work and self-testing. Universities from other countries could use the modal structure of the developed VML system on the condition that more slides are provided and the implementation of national language(s) is implemented. The combined efforts of all university partners allowed to establish the dynamic low-cost virtual microscopy educational system. The VM system could help unify the standards of cytology, histology, and histopathology teaching in a quest for the digital transformation of the European educational system.

Analyzing Trends and Emerging Issues in Public-Private Partnership (PPP) Projects in Construction: A Bibliometric Study

Analyzing Trends and Emerging Issues in Public-Private Partnership (PPP) Projects in Construction: A Bibliometric Study

An in-depth assessment of the physical layer performance in the proposed B5G framework

The introduction of fifth-generation (5G) technology marks a significant milestone in next-generation networks, offering higher data rates and new services. Achieving optimal performance in 5G and beyond 5G (B5G) systems requires addressing key requirements like increased capacity, high efficiency, improved performance, low latency, support for many connections, and quality of service. It is well-known that suboptimal network configuration, hardware impairments, or malfunctioning components can degrade system performance. The physical layer of the radio access network, particularly channel estimation and synchronization, plays a crucial role. Hence, this paper offers an in-depth evaluation of the 5G Physical Downlink Shared Channel (PDSCH), along with its related channel models such as the Clustered Delay Line (CDL) and the Tapped Delay Line (TDL). This work assesses 5G network performance through practical and IA-based channel estimation and synchronization techniques, and anticipates numerologies for B5G networks. Extensive simulations leveraging the Matlab 5G New Radio (NR) toolbox assess standardized channel scenarios in both macro-urban and indoor environments, following configurations set by the 3rd Generation Partnership Project (3GPP). The numerical results offer valuable insights into achieving the maximum achievable throughput across various channel environments, including both line-of-sight (LoS) and non-line-of-sight (NLoS) conditions. The throughput comparisons are performed under assumptions of ideal, realistic, and convolutional neural networks (CNN)-based channel estimation with both perfect and realistic synchronization conditions. Importantly, the study pinpoints certain physical layer elements that have a pronounced impact on system performance, providing essential insights for devising effective strategies or refining CNN-based methods for forthcoming mobile B5G networks.

Scalable Cellular V2X Solutions: Large-Scale Deployment Challenges of Connected Vehicle Safety Networks

Vehicle-to-Everything (V2X) communication is expected to accomplish a long-standing goal of the Connected and Autonomous Vehicle (CAV) community to bring connected vehicles to roads on a large scale. A major challenge, and perhaps the biggest hurdle on the path towards this goal, is the scalability issues associated with it, especially when vehicular safety is concerned. As a major stakeholder, Cellular V2X (C-V2X) community, which is based on the 3rd Generation Partnership Project (3GPP), has long been trying to research on whether vehicular networks are able to support the safety-critical applications in high-density vehicular scenarios. This paper attempts to answer this question by first presenting an overview on the scalability challenges faced by 3GPP Release 14 Long Term Evolution C-V2X (LTE-V2X) using the PC5 sidelink interface for low and heavy-density traffic scenarios. Next, it demonstrates a series of solutions that address network congestion, packet losses, and other scalability issues associated with LTE-V2X to enable this communication technology for commercial deployment. In addition, a brief survey is provided into 3GPP Release 16 5G New Radio V2X (NR-V2X) that utilizes the NR sidelink interface and works as an evolution of C-V2X towards better performance for V2X communications, including new enhanced V2X (eV2X) scenarios that possess ultra-low-latency and high-reliability requirements.

Metrology for sensor networks: metrological traceability and measurement uncertainties for air quality monitoring

Abstract In situ calibration of sensors delivering SI traceable measurement results still provides an open question to the design and operation of sensor networks. Particularly when addressing low-cost sensors, currently, the use of sensor networks for air quality monitoring is limited by the low or unknown accuracy of measurements that they can achieve, while the data quality of individual sensor networks is mainly derived by algorithms. Standardization bodies like DIN and CEN therefore announced the need for investigations of validation methods on gas phase species and particulate matter on the one hand side, and for the development of fully digitized quality assurance/quality control and calibration techniques for sensor networks on the other (CEN/CENELEC, Opportunity for Standardisation to Contribute to the European Partnership on Metrology EPM under Horizon Europe). This contribution concentrates on the metrological traceability of sensor networks for air quality monitoring to the international system of units (SI) based on FAIRified intra-network communications (M. Wilkinson, et al., “The FAIR guiding principles for scientific data management and stewardship,” Sci. Data, vol. 3, 2016, Art. no. 160018) and including delocalized Optical Gas Standards operated according to the digital TILSAM method (O. Werhahn, et al., The TILSAM Method Adapted into Optical Gas Standards – Complementing Gaseous Reference Materials, PTB Open Access Repository, 2021). Informed by related activities in EURAMET (Partnership project FunSNM, EMNs COO &amp; POLMO, TC-IM 1551) (European Metrology Network Climate and Ocean Observation (COO), European Metrology Network Pollution Monitoring (POLMO), EURAMET Project TC-IM 1551, Project Database) this contribution discusses the importance of measurement uncertainties in the context of sensor networks, comprising different sensor principles and promoting an efficient uptake of state-of-the-art methods. We discuss how the sensor network case can be addressed with sensors individually using the GUM principles (Joint Committee for Guides in Metrology, Guide to the Expression of Uncertainty in Measurement (GUM), JCGM 100: 2008 (E)). For sensor network measurements becoming metrologically traceable to the SI, documented and unbroken chains of calibrations need to be implemented each contributing to the measurement uncertainty. This applies to each individual sensor of the network including the potential gold standard among them, but also to the network’s output viewed as a single entity. The contribution provides first approaches to be tested and validated that are underpinned by fundamental design strategies for sensor networks. It follows on practical applications in real world scenarios aside from model uncertainties discussed in artificial intelligence prospects.

Supporting Clinical Informatics Competency Development Among the Clinical Informatics Team at Providence Health Care.

Clinical informatics (CI) competencies are crucial for health care organizations to effectively use information communication technologies (ICTs) and deliver quality care. An interdisciplinary CI team can assist organizations with leveraging ICTs, but may also require support. This case study describes a peer-led knowledge translation project designed, delivered and implemented over two years by members of the CI team at Providence Health Care (PHC). The project included CI competencies assessment of CI team members, followed by tailored education for identified knowledge gaps. The Kirkpatrick evaluation model was used to assess three levels of learning among CI team members, including a satisfaction survey, pre-and post-cognitive retention of the education intervention using a validated tool for informatics specialists, and project partner feedback of CI team performance 12 weeks after education completion. This case study provides evidence-informed guidance on 'how to' implement peer-led, practice-based CI training for CI teams.

How gender differences in informal networking result in unequal access to interorganizational R&D projects

Women are underrepresented in interorganizational research & development (R&D) projects. This affects the innovativeness of such projects, the representation of female perspectives in the design of innovations and the career opportunities of women. Such projects often emerge from preceding interorganizational R&D projects and are particularly successful when they do so. We argue that instrumental networking in ongoing projects is constitutive for the formation of such follow-up collaborations and, further, that stereotypical gender roles hinder women’s participation in instrumental interactions with their current project partners. Hence, we assume that unequal opportunities to participate in follow-up projects can be attributed to women’s lesser involvement in instrumental networks. Empirically, we test our argument using data on 2746 directed and weighted personal relationships across 24 interorganizational R&D projects. We show that instrumental interactions are crucial for who initiates follow-up projects with which current partner. Furthermore, we can show that the low participation of women in these activities can be better explained by gender roles than by gender homophily. In doing so, we reveal an important cause of women's under-representation in R&D.

Regional differences and dynamic evolution in the resilience of public-private partnership projects: Evidence from the China

In the context of high-quality development and in the face of uncertainties and risks from economic, social and political sources, we aim to understand the resilience of public-private partnership projects in megaprojects, and to improve their ability to effectively manage adversity and optimize resource allocation. And by utilizing these insights and adopting proactive strategies, we enable stakeholders to navigate uncertainty more effectively and contribute effectively to high-quality development. Based on 2005–2020 provincial panel data in China, we explore the regional differences, dynamic evolution and convergence in the resilience of public-private partnership projects using an integrated approach combining entropy weight method, Dagum Gini coefficient, kernel density estimation and spatial econometric modeling. The results of the study show that: The resilience of public-private partnership projects in the nationwide and in East, Central, West and Northeast is steadily increasing, with higher in the East and weaker in the West; The differences between the four regions show a gradual widening trend, but decrease towards the end of the study period, and was accompanied by trailing and polarization across the country and the regions; There is absolute β convergence in the resilience of public-private partnership projects across the country and in the four regions.