Academic Collaboration Research Articles

ECO_CARE Fieldtrip on the Rio Negro (municipality of Novo Airão, Comunidade Tiririca) and academic collaboration with indigenous women, traditional people and Master’s students

This report summarises the activities undertaken by the ECOCARE team during the week of November 3 to November 4, focusing on fieldwork on the Rio Negro, specifically in the municipality of Novo Airão and the Comunidade Tiririca. Additionally, the team organised a meeting with the indigenous women of the Amarn organization and an academic activity on storytelling and emotional literacy with the Master’s students of the Postgraduate Program in Law at the UFAM, emphasizing a hands-on approach to learning and mutual exchange of knowledge.The activities were part of a broader initiative to foster meaningful partnerships and enhance educational opportunities through direct interaction with indigenous communities and academic partners. This initiative aligns with our ongoing commitment to support indigenous scholarship and integrate it within academic frameworks, thereby enriching the educational experiences of all participants.

Internationalisation in Higher Education: Post-Covid Trends of Students’ Mobility (Case Study EUROMED Countries)

Purpose: This article examines trends in the internationalisation of higher education within the Euro-Mediterranean (EUROMED) region, with a particular focus on student mobility as a driving force for fostering academic collaboration across borders. Study design/methodology/approach: The research uses data from UNESCO to analyse student movement patterns in 23 Euro-Mediterranean countries. It considers key factors influencing these trends, including economic incentives, geopolitical stability, and cultural linkages. It also assesses the impact of the COVID-19 pandemic on international student mobility and the adaptation of physical, virtual, and blended mobility formats to new realities. Findings: The findings highlight that while physical mobility remains essential, the rise of virtual and blended mobility options post-pandemic has introduced more inclusive and accessible student pathways. This shift enhances the resilience and adaptability of internationalisation frameworks within the EUROMED region, enabling a more robust response to the fluctuating global conditions. Originality/value: This study provides a comprehensive look at the unique cultural, geopolitical, and educational context of the EUROMED region. It underscores the importance of innovative mobility models in creating a more inclusive internationalisation approach that can withstand external challenges, particularly in a post-pandemic landscape.

Quandaries of Trying to Do Good-The Adequacy of the WHO FENSA Regulations.

The World Health Organization's (WHO) Framework of Engagement with Non-State Actors (FENSA), established in 2016, is designed to enhance transparency, impartiality, and conflict-of-interest safeguards by setting rigorous guidelines for WHO's interactions with private entities, particularly those in high-risk industries such as tobacco, alcohol, and arms. This paper briefly reviews the implementation and impact of FENSA, observing that, despite these safeguards, its application in academic contexts poses specific challenges. Universities, often reliant on diverse funding sources, may find the rules restrictive and misaligned with independent funding needs. The creation of the WHO Foundation in 2020 further complicates this landscape by enabling engagements with previously restricted private sector entities through an "arm's length" model. The authors advocate for a reassessment of FENSA to resolve inconsistencies and support essential academic collaborations, while upholding WHO's commitment to ethical standards.

Matvei Nikolaevich Khangalov: an intellectual biography of a distinguished ethnographer

In this article, we attempt to present an intellectual biography of the prominent Buryat ethnographer and public educator Matvei Khangalov (1858–1918). He remains an important figure in the Buryat public community, yet little attention has been paid to his life and work in anthropological studies. Drawing on archival and literary sources, as well as various recollections of his contemporaries, we explore his family background, pedagogical activities, public engagement, scholarly legacy and publications, tracing the chronology of his academic career and the scope of his field research and academic collaborations. The new findings shed light on the historical circumstances, shaped by the specific development of Mongol studies and ethnography within the Russian Empire, that provided the scholar with the opportunity to fully realize his creative potential.

A model to address the cold-start in peer recommendation by using k-means clustering and sentence embedding

In academia, research collaboration plays a vital role in enhancing the research quality and enriching the academic profile of the authors. Recommending appropriate collaborators from a vast scholarly database, particularly for newcomers, poses a challenging cold-start problem. This study addresses a cold-start problem in peer recommendation, considering a dynamic coauthorship graph as a network structure of academic collaborators. As the coauthorship graph is quite large and complex, an efficient indexing method is essential for speeding up the initial search of similar coauthors. The study introduces an efficient Global Inverted List (GIL) for indexing research areas and active authors in the coauthorship network. An attribute-based search and filtering mechanism is proposed to identify relevant collaborators, followed by the application of k-means clustering and doc2vec metrics to rank and select top recommendations. A cold user is associated with attributes that identify coauthors with similar research interests. For each attribute of the cold user, the model searches the associated authors from the GIL. Further, two filtering approaches are applied to refine the retrieved author list. The first ensures that the authors have a significant presence in the specified research areas, whereas the second one helps avoid recommending authors with only superficial connections to the cold user. The model creates a feature matrix of filtered authors using the publication features of authors. The k-means clustering applied to the feature matrix generates k clusters, among which the model chooses only those with seed nodes i.e. the clusters which are having seed nodes are selected for further process. Selected clusters are ranked using doc2vec metrics, with the top-ranked cluster providing the final recommendation. The model recommends the top L members of the selected cluster, where L is the length of the recommendations provided to the new user. Our extensive experiments show the efficacy of the proposed model.

Academic collaboration

No abstract available.

Academic collaboration recommendation based on graph neural network and multi-attribute embedding

Academic collaboration recommendation (ACR) can help researchers find potential partners for research and thus promote academic innovation. Recent works mostly use graph learning-based methods to explore various ways of combining node information with topology, which consists of multiple steps, including network construction, node feature extraction, network representation learning and link prediction. One limitation is that they only conduct research on co-authorship networks and ignore citation relationship between publications. Besides, they tend to use attributes from a single dimension of researchers and do not take attributes of researchers from multiple dimensions into consideration at the same time. To address the above issues, we present the multi-dimensional attributes enhanced heterogeneous (MAH) network representation learning method, which constructs heterogeneous networks with both co-authorship and citation information and makes use of multi-dimensional attributes. Three research questions are addressed in this work: (RQ1) Is our proposed method effective on academic collaboration recommendation compared with existing state-of-the-art methods? (RQ2) Does incorporating citation information into co-authorship network help improve the performance of academic collaboration recommendation? (RQ3) How does fusing multi-dimensional attributes affect the performance of academic collaboration recommendation? A publicly available real-world data set is used in our experiments. The superior performance of MAH compared with baseline methods demonstrates that the proposed multi-dimensional feature-based researcher profile can enrich node information in academic network and effective researcher representations can be learned by applying graph representation learning methods on the network.

Empowering youths through citizen science to address health inequalities in adolescence

Abstract Citizen Science (CS) stands as a beacon of hope in the fight against inequalities in adolescent health, revolutionizing scientific research by involving individuals from diverse backgrounds. Unlike traditional methods, CS transcends academic boundaries, fostering inclusivity and collaboration irrespective of age, nationality, or social status. This approach has gained momentum in adolescent health research, empowering young people as co-researchers from project inception, thereby reducing disparities in health knowledge and access. Studies demonstrate its efficacy in enhancing empowerment and health literacy among participants. YouthChronic is an example of how CS can mitigate health inequalities among adolescents. The project ensures active participation in every research stage by engaging adolescents with chronic conditions as citizen scientists. Open-ended questions facilitate detailed responses, while participation in analysis and dissemination enhances their research involvement and sense of ownership. Through initiatives like YouthChronic, CS is reshaping the research landscape, making it more relevant and impactful to bridge the inequality gap. Young Citizen Scientists’ views on their participation: “As part of YouthChronic, we felt like our experiences with chronic conditions were finally being heard. The researchers were cool-they listened to us, let us be flexible with our participation, and even taught us some research skills. Learning from other peers’ experiences made us feel less alone and gave us new insights. But it’s frustrating that we’re limited by resources. We have big ideas, like running an advocacy campaign, but we need funding to make them happen”. In conclusion, by actively involving adolescents in the scientific process through CS initiatives like YouthChronic, we can reduce inequalities in adolescent health, empower marginalized voices, and pave the way for a brighter, more inclusive future in scientific exploration and discovery.

Single Mothers Association of Kenya (SMAK) and the Fight to Stay Put on the Ziwani Estate in Nairobi

This Reflection discusses the fight to stay put on the Ziwani Estate in Nairobi, in the face of the redevelopment (gentrification) of one of the first East African public housing projects developed in Kenya under colonial rule. The Single Mothers Association of Kenya (SMAK), a community-based organization founded on the Ziwani Estate, is leading the fight for/with Ziwani residents. SMAK is focused on land and housing rights, capacity building for the community on these rights, advocating against illegal eviction, and fighting against gentrification, densification, and homelessness. Under immediate threat SMAK found local and global allies in academia, civil society, and in UN bodies. They have had some important wins on the preservation and conservation of Ziwani historic places and people based on unexpected academic collaborations and on their own activism which they believe requires civic education, domestic and international lobbying, and possibly legal struggle.

Academic publishing as an exercise of leadership: evidence from doctoral students in the United Kingdom and Hong Kong

ABSTRACT This study inquires into the experiences of 15 doctoral students from universities in the United Kingdom and Hong Kong to examine the factors that contribute to publishing first-authored academic papers and explores their self-perceptions of their scholarly identities. Using Leadership for Learning as a theoretical framework, the research findings show that successful academic publishing is underpinned by powerful learning experiences, the sharing of leadership and a shared sense of accountability. The study demonstrates that student agency, which links leadership and learning, is manifested through purposeful action, relational engagement and self-transformation. The research results acknowledge the unequal power dynamics in different research collaborations and reveal that doctoral students’ identity development is interlinked with a passion for research, strong learning experiences, the way that others position themselves and autonomy. The study highlights the need for robust learning experiences, tailored support for academic publishing and leadership development opportunities that facilitate academic collaborations.

Bibliometric Insights into the "Kathmandu School of Law Review"

This bibliometric study analyzes the academic reach, thematic focus, and collaboration trends of the Kathmandu School of Law Review (KSLR). Through keyword analysis, the research highlights recurring themes such as human rights, governance, policy-making, and development, reflecting a multidisciplinary approach to legal scholarship. Visualizations of co-authorship networks reveal limited collaboration among scholars, suggesting opportunities for the journal to foster joint publications and interdisciplinary partnerships. Citation network analysis indicates a niche area of research with a few central authors like Puja Mitra and Yubaraj Sangroula, while the low overall citation count points to the need for broader academic engagement and visibility. Bibliographic coupling maps show emerging research clusters, indicating the potential for KSLR to build authority in key areas such as South Asian legal systems and international human rights. The study concludes with recommendations for KSLR to increase global outreach, promote interdisciplinary studies, and enhance academic collaboration to strengthen its impact within and beyond the region.

Autumn School “Protection of The Sea: Adopting Co-Created Methods Of (Public) Participation”

This report details a 4-day Autumn School held at the University of Bari, Sede di Taranto, a joint project endorsed by the UN Ocean Decade and funded by DAAD. The event involved academic collaborations with the University of Bayreuth and the University of Turin (Department of Management). The school’s focus was on the protection of human rights at sea, sea rights, and living by the sea. It included an experiential learning day in partnership with the Jonian Dolphin Conservation in Taranto, followed by a three-day workshop. During these sessions, students from Germany and Italy engaged in building co-created projects that addressed challenges connected to Agenda 2030 and SDG 14 (and 3, 5, 15, 16, 17).

Revealing the brain behind travel: an analysis of neuro-tourism research using structural topic models and network analysis

ABSTRACT Neuro-tourism is a growing field that could revolutionize the tourism industry by uncovering the neurological mechanisms behind the tourist experience. However, the underlying mechanisms and interrelationships shaping the evolving landscape of neuro-tourism research have not yet been fully elucidated. This study analyzes research trends in neuro-tourism from 2006 to 2024 and identifies academic collaboration networks. We utilized structural topic modeling and network analysis to uncover the underlying academic topics in neuro-tourism. Our analysis found eight growing and four declining subfields in neuro-tourism. The network analysis showed significant contributions from countries, institutions, and journals. This research adds to existing theory by explaining the mechanisms and connections impacting the evolving neuro-tourism research field. It provides valuable insights for scholars and researchers studying the intersection of neuroscience and tourism. Understanding how research is categorized in databases like the Web of Science can help make strategic publishing decisions, encouraging interdisciplinary collaboration and innovation.

UNLOCKING ACADEMIC SUCCESS IN THE DIGITAL AGE: HOW SOCIAL MEDIA USE, SOCIAL ENGAGEMENT, AND SELF-REGULATION SHAPE UNIVERSITY STUDENTS' PERFORMANCE

In the digital age, social media has become an integral part of university life, influencing students' academic performance and social engagement. This study investigates the relationships between social networking site (SNS) usage, social engagement, self-regulation, and academic performance among Chinese university students. Utilizing a sample of 438 students from a public university, data were collected through a structured questionnaire administered via WeChat and Ding Talk. The analysis employed Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS version 4.1 to test the proposed hypotheses. The results indicate that SNS usage significantly and positively influences students' academic performance and social engagement. Furthermore, social engagement was found to mediate the relationship between SNS usage and academic performance, suggesting that the benefits of social media extend beyond mere academic collaboration. Additionally, self-regulation was identified as a moderating factor, strengthening the positive impact of SNS usage on academic performance. These findings highlight the importance of leveraging social media as a tool for enhancing academic success while emphasizing the need for self-regulatory skills in navigating digital environments. This study provides valuable insights for educators and policymakers aiming to optimize the academic potential of social media in higher education settings. KEYWORDS: Social networking site usage, Social Engagement, Academic Performance, Self-Regulation

Preface

Remote sensing technology and global positioning system (GPS), as the two pillars of modern space information technology, are changing the way we perceive and manage the Earth at an unprecedented speed. In order to promote academic exchanges and cooperation in this field, and to promote the transformation of scientific research and academic achievements, the 2024 International Conference on Remote Sensing and Global Positioning Algorithm (RSGPA 2024) was successfully held from June 28th to 30th, 2024 in Beijing, China via virtual form. The conference not only focused on the latest achievements of remote sensing mapping technology, but also discussed in depth the innovation and application of global positioning algorithms, aiming at promoting the transformation of scientific research and academic achievements through experience sharing and wisdom collision, promoting the gathering of talents, technology and capital, and injecting new kinetic energy into the development of related fields. It attracted a number of paper submissions related to remote sensing technology and global positioning system, and featured a variety of research directions, including Remote Sensing Mapping, Positioning Algorithms, AI-Assisted Localization, Hyperspectral Image Processing, Optical Remote Sensing, Microwave Remote Sensing, Remote Sensing Information Engineering, Image Processing Techniques, Geospatial Data Modeling and so on. The conference’s agenda covered a wide range of topics and presentations, mainly falling into keynote speeches, oral presentations, poster presentations, and academic discussion. Keynote speakers shared their latest research results and innovative ideas in the fields of remote sensing technology and global positioning system and their relevant domains, providing participants with valuable academic resources and inspiration. Professor Tao Chen (China University of Geosciences, Wuhan) talked about landslide recognition based on deep learning; Professor Muhammad Bilal (Henan Polytechnic University) presented a novel method for aerosol retrievals from multisensor remote sensing data over urban areas; Professor Kannimuthu Subramaniyam (Karpagam College of Engineering) illuminated the advancements and challenges in utilizing machine learning for cyber threat detection and mitigation. By fostering an environment of academic exchange and collaboration, RSGPA 2024 promoted the exploration of new ideas, the formation of partnerships, and the dissemination of research findings, ultimately contributing to the advancement of remote sensing and positioning technologies. All of the submissions received from the conference were exhaustively reviewed by the program committee members and peer-reviewers, who took into account the breadth and depth of the research topics that fall under the scope of RSGPA. The most promising contributions have been selected for inclusion in this Proceedings, which present innovative original ideas or results of general significance supported by clear and rigorous reasoning and compelling new evidence, as well as methods. This Proceedings not only provides participants with valuable academic resources, but also provides important references and insights for researchers in related fields. We would like to acknowledge all the speakers, authors, supporters, committee members and anonymous reviewers for their efforts in making RSGPA 2024 a complete success. We’d also appreciate the support from the staff of Journal of Physics: Conference Series for making this Proceedings published. The Committee of RSGPA 2024 List of Committee Member is available in this pdf.

Historical Geography in Brazil: Examining Backgrounds and New Perspectives

ABSTRACTThe sub‐discipline of historical geography in Brazil, in contrast to the Anglophone and Francophone scholarship, often tends to be overlooked by the northern disciplinary history of this sub‐discipline. In Brazil, historical geography studies emerged in the 1980s as a result of personal initiatives. Nonetheless, in the last few years, distinct generations of Brazilian historical geographers have contributed to this sub‐discipline's promotion and recognition, mainly by diversifying their methodological approaches and research interests. Undoubtedly, developing transnational academic networks and collaborations represents a crucial contribution. This review provides an overview of the main Brazilian historical geographers engaged in studying past geographies. It delves into the central themes they address and also examines the academic conferences and research groups responsible for establishing institutional spaces to foster the practice of historical geography in Brazil in recent years. In doing so, the review calls for a ‘polyphonic’ approach to historical geography, urging the inclusion of southern sites of knowledge production and embracing a diverse scholarship beyond the English‐speaking community.

Learning accurate neighborhood- and self-information for higher-order relation prediction in Heterogeneous Information Networks

Heterogeneous Information Networks (HINs) are commonly employed to model complex real-world scenarios with diverse node and edge types. However, due to constraints in data collection and processing, constructed networks often lack certain relations. Consequently, various methods have emerged, particularly recently, leveraging heterogeneous graph neural networks (HGNNs) to predict missing relations. Nevertheless, these methods primarily focus on pairwise relations between two nodes. Real-world interactions, however, often involve multiple nodes and diverse types, extending beyond simple pairwise relations. For instance, academic collaboration networks may entail interactions among authors, papers, and conferences simultaneously. Despite their prevalence, higher-order relations are often overlooked. While HGNNs are effective at learning network structures, they may suffer from over-smoothing, resulting in similar representations for nodes and their neighbors. The learned inaccurate proximity among nodes impedes the discernment of higher-order relations. Furthermore, observed edges among a target group of nodes can provide valuable evidence for predicting higher-order relations. To address these challenges, we propose a novel model called Accurate Neighborhood- and Self-information Enhanced Heterogeneous Graph Neural Network (ANSE-HGN). Building upon HGNNs to encode network structure and attributes, we introduce a relation-based neighborhood encoder to capture information within multi-hop neighborhoods in heterogeneous higher-order relations. This enables the calculation of accurate proximity among target groups of nodes, thereby enhancing prediction accuracy. Additionally, we leverage self-information from observed higher-order relations as an auxiliary loss to reinforce the learning process. Extensive experiments on four real-world datasets demonstrate the superiority of our proposed method in higher-order relation prediction tasks.

Tackling Multiple Biologic Failure in Psoriasis: Research and Advocacy Perspectives.

Psoriasis is an immune-mediated skin disease commonly treated with biologic therapies. While there are currently 12 different biologics approved for psoriasis, there still exists a challenging subset of patients who have tried and failed biologics from multiple classes. In this commentary, we discuss the research and advocacy-based efforts by the National Psoriasis Foundation (NPF) and academic collaborators to understand and better support multiple biologic failure (MBF) psoriasis patients. The NPF MBF registry will gather clinical and demographic information on MBF patients to improve therapeutic outcomes, while legislative efforts through NPF Capitol Hill Day aim to advance federal laws in support of all psoriasis patients, with a recent focus on access to biologic therapy. Together, these 2 efforts will improve the care for all people living with psoriasis, including those experiencing MBF.

Higher education integrating into the “Belt and Road” economic development and its path selection, taking Kyrgyzstan as an example

Since its inception in 2013, “The Belt and Road Initiative” has become an important engine driving global economic growth. The initiative has not only promoted infrastructure construction in countries along the Belt and Road but also strengthened financial integration, unimpeded trade, people-to-people exchanges, and policy communication. In this context, higher education, as an important avenue for talent training and scientific and technological innovation, is of great significance to promoting the economic and social development of countries along the Belt and Road. By strengthening academic cooperation with Chinese universities, Kyrgyzstan can enhance its curriculum, adopt advanced teaching methods, and integrate cutting-edge research to foster more skilled labor. In addition, innovation and technology transfer through higher education partnerships can drive sustainable economic growth and diversification. This paper explores the strategic path of integrating higher education into the Belt and Road. Initiative, focusing on academic collaboration, enhancing R&D capabilities, and fostering an entrepreneurial ecosystem.

Pioneering family medicine: A collaborative global health education partnership in Ethiopia.

In 2013, Ethiopia launched its first Family Medicine (FM) residency programme at Addis Ababa University (AAU). The University of Toronto's Department of Family and Community Medicine (DFCM) was invited to support Addis Ababa University's Department of Family Medicine's (AAU-FM) educational programme activities forming the Toronto Addis Ababa Academic Collaboration in Family Medicine (TAAAC-FM). This paper describes the TAAAC-FM partnership, a capacity-strengthening initiative that focuses on four key levers of academic engagement and transformation: education offerings for AAU-FM trainees, partnership preparation of DFCM faculty, fostering AAU-FM faculty development and leadership, and lastly scholarship, knowledge sharing and mentorship. Toronto Addis Ababa Academic Collaboration in Family Medicine operates on principles of respect, flexibility and cultural sensitivity. Monthly virtual meetings and annual in-person faculty visits fostered curriculum support, teaching and leadership training, ensuring that the programme remained responsive to evolving needs. The partnership has contributed to a Community of Practice (CoP) to advance FM in Ethiopia, promoting shared learning. Addis Ababa University's Department of Family Medicine faculty leads in various roles, engages with global FM communities, and contributes to policy development, demonstrating significant progress in FM education and leadership. Looking ahead, TAAAC-FM aims to adapt its efforts based on the capacity built with AAU-FM, continue faculty development, and strengthen linkages within the global healthcare community. The partnership's success underscores the importance of collaborative, culturally informed high-low resource setting approaches to FM training and healthcare system strengthening, offering valuable insights for similar initiatives.