In the last decade there has been a movement towards facilitating Open Access to academic outputs via the World Wide Web. This movement has been characterised as one that embodies corporate citizenship because such sharing has the potential to benefit all stakeholders: academics, policy makers, charitable sectors and the wider public. In the UK, the Economic and Social Research Council are implementing Open Access compliance guidelines for research that they fund, which is interpreted by individual institutions in (...) their school regulations. In the case of doctoral theses, there is now a requirement for students to provide an electronic format of their final work to be included in their school's online digital repository. In a number of UK institutions, University Awards and Progress Committees will only consider awarding the doctoral degree once these requirements have been satisfied. Although this move to Open Access can be considered as an egalitarian endeavour, this paper argues that an important stakeholder may have been overlooked in the march towards progressive dissemination. The temporal space between gaining informed consent from research participants and the changing nature of the accessibility of outputs can both engender a breach of ethics in terms of the initial agreements negotiated with participants and raise issues around representation in the ongoing dissemination and reformulation of the original work, particularly where visual images are central to research outputs. The paper utilises autoethnography and poetry to reflect on my own encounter with the requirement for Open Access and the ways in which this brings up concerns around ethics, obligations and integrity. (shrink)

There are two primary roles of universities – a place of learning and where new ideas and technologies are created. Universities profit from teaching and learning, research, and technology positions. It is the responsibility of institutions of higher learning to produce capable and self-directed learners who are confident and capable of contributing to society through leadership or civic engagement. Universities also prepare students for high-level employment. These institutions are also there to generate new knowledge, shift paradigms, assist society in (...) fulfilling its evolving needs and tackle new problems. Universities have further been tasked with developing highly competent staff and research output to attain their stated objectives. (shrink)

Since Circular 34 from the Ministry of Science and Technology of Vietnam required the head of the national project to have project results published in ISI/Scopus journals in 2014, the field of economics has been dominating the number of nationally-funded projects in social sciences and humanities. However, there has been no scientometric study that focuses on the difference in productivity among fields in Vietnam. Thus, harnessing the power of the SSHPA database, a comprehensive dataset of 1,564 Vietnamese authors (854 males, (...) 705 females) with 2,410 publications in the 2008 – 2018 period was extracted and analyzed. Various factors were considered including age, gender, new authors, leading authors, co-authorship, and Impact Factor. The findings suggest a high level of contribution from authors at the age of 40 – 44 in economics (858 publications) in a 12-years period, which is equivalent to the social medicine total output, and two times more than the total output of the education. Moreover, the presence and reinforcement of male researchers are still dominating in Economics and other fields, with the only exception of education. Despite the rapid rise in the number of Vietnamese lead authors, gender disparity among disciplines is an issue. Contrary to the strong international collaboration-oriented tendency in social medicine, economics, and other fields, educational authors are not open to international collaborating. Finally, most of the publications in economics belong to the group with JIF from 0 to 2, in contrast with the high number of social medicine publications with JIF from 2 to 5, which suggesting the field of economics is fulfilling the quantity, but still, need more quality publications. (shrink)

Background: Academic productivity has been studied by scholars all round the world for many years. However, in Vietnam, this topic has scarcely been addressed. This research therefore aims at better understanding the correlations between gender, age, research experience, the leading role of corresponding authors, and the total number of their publications in the specific realm of social sciences and humanities. Methods: The study employed a Scopus dataset with publication profiles of 410 Vietnamese researchers between 2008 and 2017. Results: (...) Men did not differ from women in academic publications (P=0.827). The proficiency of corresponding authors positively correlated with the number of published papers (rs=0.61, P<0.001). Lastly, the age of lead authors strongly correlated with scientific output (rs=0.74, P<0.001 for authors between 40 and 50 years of age). Conclusion: While scientific output correlated with the author ages and number of articles in which they led, it was not correlated with their gender in Vietnamese social science and humanities authors. (shrink)

The existing body of knowledge has witnessed gaps arising from the paucity of research literature on the quality of educational research output in higher education. This study shows how the management of data in higher education affects the quality of academic research conducted by university lecturers in South-South Nigeria. A sample of 602 lecturers were accessed during data collection and responded to two questionnaires (Data Management Practices Questionnaire – DMPQ and "Educational Research Effectiveness Questionnaire – EREQ). (...) Multiple regression was employed in the analysis of data. Findings revealed amongst others that; data storage, data security, data retrieval, data sharing, and data re-use jointly contributed to the total variance in educational research effectiveness of university lecturers in terms of proper citations by 56.25%, problem-solving by 22.14%, knowledge creation by 34.50%, and generation of testable data by 36.88%. The five data management practices compositely influences the educational research effectiveness of university lecturers in terms of proper citations (F=152.25,p<.05), problem-solving (F=33.90,p<.05), knowledge creation (F=62.78,p<.05), and the generation of testable data (F=69.65,p<.05), is statistically significant. Based on the findings of this study, it was concluded that data management practices (storage, security, retrieval, sharing, and re-use) jointly and relatively contributes to the total variance in educational research effectiveness in terms of proper citations, problem-solving, knowledge creation and generation of testable data at varying extents. It was recommended, among others that, lecturers should practice the habit of managing research data in their personal computers and through manual channels. These records could become vital in the future for further problem-solving. (shrink)

Background: In the context of globalization, Vietnamese universities, whose primary function is teaching, there is a need to improve research performance. Methods: Based on SSHPA data, an exclusive database of Vietnamese social sciences and humanities researchers’ productivity, between 2008 and 2019 period, this study analyzes the research output of Vietnamese universities in the field of social sciences and humanities. Results: Vietnamese universities have been steadily producing a high volume of publications in the 2008-2019 period, with a peak of (...) 598 articles in 2019. Moreover, many private universities and institutions are also joining the publication race, pushing competitiveness in the country. Conclusions: Solutions to improve both quantity and quality of Vietnamese universities’ research practice in the context of the industrial revolution 4.0 could be applying international criteria in Vietnamese higher education, developing scientific and critical thinking for general and STEM education, and promoting science communication. (shrink)

For synergistic interactions between humans and artificial intelligence (AI) systems, AI outputs often need to be explainable to people. Explainable AI (XAI) systems are commonly tested in human user studies. However, whether XAI researchers consider potential cultural differences in human explanatory needs remains unexplored. We highlight psychological research that found significant differences in human explanations between many people from Western, commonly individualist countries and people from non-Western, often collectivist countries. We argue that XAI research currently overlooks these (...) variations and that many popular XAI designs implicitly and problematically assume that Western explanatory needs are shared cross-culturally. Additionally, we systematically reviewed over 200 XAI user studies and found that most studies did not consider relevant cultural variations, sampled only Western populations, but drew conclusions about human-XAI interactions more generally. We also analyzed over 30 literature reviews of XAI studies. Most reviews did not mention cultural differences in explanatory needs or flag overly broad cross-cultural extrapolations of XAI user study results. Combined, our analyses provide evidence of a cultural bias toward Western populations in XAI research, highlighting an important knowledge gap regarding how culturally diverse users may respond to widely used XAI systems that future work can and should address. (shrink)

An assessment of the extent of the use of electronic platforms by African academic staff in universities to disseminate research was done in this study. The study is informed by the growing importance of online repositories and preprint servers in the scientific communication of scholarly output, especially in an era where the use of metrics for research appraisals and funding decisions is commonly practised. The quantitative research method was adopted, based on the descriptive survey research design. (...) The snowball sampling technique was used for data collection. Data were collected from 1,977 respondents, distributed across 24 African countries, through the use of an electronic survey. There was a high rate of willingness among universities’ academic staff in Africa, to adopt various online platforms for research dissemination; ResearchGate is currently utilized the most for research dissemination, but Google Scholar is the platform respondents are more willing to adopt for research dissemination; the rate at which academic staff research output can be found online as a ratio of their total publication is 64.04% and in the ratio of 2.00:3.12; poor access to Internet facilities at home and workplaces are the major challenges academic staff face in the utilization of digital platforms for RD. It was recommended, amongst others that academic staff in universities should endeavour to explore and utilize at least ten of the online platforms mentioned in this study, to enable them disseminate their scholarly works to a wider audience and for increased visibility Keywords:. (shrink)

This perspective paper analyzes the rising threat of retracted scientific works and the challenges of preventing the continued spreading and use of the retracted science; further, a framework is proposed for research and actions to effectively manage retractions in the information ecosystem. The precipitous increase in retractions of scientific publications is real and the complexity of retracting publications challenges current IR systems and people's information behaviors. Retracting published, especially peer-reviewed, papers in prestigious venues is a complex phenomenon involving various (...) entities through often time-consuming processes. These publications may be accessible from the original venues, digital archives, or free-access databases, but these systems differ in retrievability and output. Many systems do not identify the retractions or reasons for retractions; most systems do not treat the retracted paper and its related notices (retraction or correction) as an integrated entity. Studies found that many retracted publications continue to be cited post-retraction as valid science. A new threat is the widely spread of retracted publications on social media. Retracting invalid scientific publications has serious implications in the real world. Based on current findings, we propose (1) a framework for further research; (2) a DOI resolution to integrate the documents related to retraction/correction; (3) a structured facet taxonomy for representing and indexing the retracted, corrected, or republished publications in databases; (4) a retraction registry or database with personalized AI helper for researchers to tract retracted publications; (5) an approach for understanding how retracted publications are circulated on social media. (shrink)

This chapter explores the opportunities and limitations of the ideal of transparency in responsible innovation, by consulting the virtual case of "The Circle", a company which appears in Dave Eggers' novel The Circle. The Circle is a high-tech company with the main purpose of being responsive to societal needs. They want to eradicate unethical behaviour in society, enhance public health and make a positive impact on the environment. The ultimate goal of The Circle is to reach 100% full transparency in (...) the world, which is impossible without any societal desirability. In first instance, it is free choice of people to accept and embrace the products and services of The Circle, who invest resources in keeping customers happy and in raising awareness about the dangers of privacy. The chapter concludes that The Circle meets the requirements regarding the outcomes of responsible innovation, at least to a certain extent, while at the same time, one feels unease about certain activities they undertake. (shrink)

Water is the source of life for our planet, guided the ancient civilizations, and formed its current footprint on the earth. Water has always been a crucial element of our biological survival; consequently, humankind has permanently settled around it while carrying the responsibility of protecting it. To understand the water pattern in various cities throughout history and analyze how the emerging problems were overcome, Istanbul Technical University Landscape Architecture Department Graduate Level Design Studio was held under the theme of "Around (...) Water". Despite the adverse effects of the Covid-19 pandemic on education, international researchers contribute to the studio in a beneficial and diversified manner with the effective use of online tools. As a result of the literature review and the online, multidisciplinary education, and research-based design requirements, a new studio method was developed. Water-based case studies worldwide produced enriched outputs. While creating new discussion environments, the diversified outcomes of the studio "Around Water" contributed to the creation of cumulative studio knowledge. (shrink)

The dishonest practices in the conduct of educational research in South-South region particularly, and Nigeria generally, has called for urgent intervention. This study assessed data management practices and educational research effectiveness of University Lecturers in South-South Nigeria. A sample of 602 lecturers that were accessible during data collection responded to two questionnaires (Data Management Practices Questionnaire – DMPQ and "Educational Research Effectiveness Questionnaire – EREQ). Multiple regression was employed in the analysis of data. Findings revealed amongst others (...) that; data storage, data security, data retrieval, data sharing, and data re-use jointly contributed to the total variance in educational research effectiveness in terms of proper citations by 56.25%, problem-solving by 22.14%, knowledge creation by 34.50%, and generation of testable data by 36.88%; and their composite influence on educational research effectiveness in terms of proper citations (F=152.25,p<.05), problem-solving (F=33.90,p<.05), knowledge creation (F=62.78,p<.05), and generation of testable data (F=69.65,p<.05), is statistically significant. Based on the findings of this study, it was recommended among others that, there should be an up-to-date database or data warehouse in Ministries of Education where researchers can easily access data in order to increase the quality of researches by eliminating the problems of data fabrication and falsification. This study contributes to the existing body of knowledge by addressing the gaps arising from the paucity of research literature on educational research effectiveness. This study shows how data management practices affects the quality of educational research output of university lecturers using empirical evidence from Nigeria. (shrink)

Public trust in research and its output is essential for a healthy modern society. Although the research enterprise is self- correcting, this self-regulation occasionally needs help. Over the years, research institutions, professional societies, and governments have established several protocols, codes of conduct, norms, and principles to enhance that trust in research institutions, funders, producers, publishers, and products.

The existing body of knowledge has witnessed gaps arising from the paucity of research literature on the quality of educational research output in higher education. This study shows how the management of data in higher education affects the quality of academic research conducted by university lecturers in South-South Nigeria. The study adopted a factorial research design. The population of this study includes all the Faculty of Education academic staff in both public and private universities situated in (...) South-South Nigeria. Using results of a survey administered to a sample of 602 accessible lecturers during data collection, one research question and one null hypothesis were resolved in the study. Multiple regression was employed in the analysis of data. Findings revealed amongst others that; data storage, data security, data retrieval, data sharing, and data re-use jointly contributed to the total variance in educational research effectiveness in terms of proper citations by 56.25%, problem-solving by 22.14%, knowledge creation by 34.50%, and generation of testable data by 36.88%; and their composite influence on educational research effectiveness in terms of proper citations, problem- solving, knowledge creation, and generation of testable data, is statistically significant. Based on the findings of this study, it was concluded that data management practices play an important role in higher education that significantly influences the quality of research output in universities in South- South Nigeria. It was recommended among others that, there should be an up-to-date database or data warehouse in Ministries of Education where researchers can easily access data in order to increase the quality of researches by eliminating the problems of data fabrication and falsification. (shrink)

Endowing artificial systems with explanatory capacities about the reasons guiding their decisions, represents a crucial challenge and research objective in the current fields of Artificial Intelligence (AI) and Computational Cognitive Science [Langley et al., 2017]. Current mainstream AI systems, in fact, despite the enormous progresses reached in specific tasks, mostly fail to provide a transparent account of the reasons determining their behavior (both in cases of a successful or unsuccessful output). This is due to the fact that the classical (...) problem of opacity in artificial neural networks (ANNs) explodes with the adoption of current Deep Learning techniques [LeCun, Bengio, Hinton, 2015]. In this paper we argue that the explanatory deficit of such techniques represents an important problem, that limits their adoption in the cognitive modelling and computational cognitive science arena. In particular we will show how the current attempts of providing explanations of the deep nets behaviour (see e.g. [Ritter et al. 2017] are not satisfactory. As a possibile way out to this problem, we present two different research strategies. The first strategy aims at dealing with the opacity problem by providing a more abstract interpretation of neural mechanisms and representations. This approach is adopted, for example, by the biologically inspired SPAUN architecture [Eliasmith et al., 2012] and by other proposals suggesting, for example, the interpretation of neural networks in terms of the Conceptual Spaces framework [Gärdenfors 2000, Lieto, Chella and Frixione, 2017]. All such proposals presuppose that the neural level of representation can be considered somehow irrelevant for attacking the problem of explanation [Lieto, Lebiere and Oltramari, 2017]. In our opinion, pursuing this research direction can still preserve the use of deep learning techniques in artificial cognitive models provided that novel and additional results in terms of “transparency” are obtained. The second strategy is somehow at odds with respect to the previous one and tries to address the explanatory issue by avoiding to directly solve the “opacity” problem. In this case, the idea is that one of resorting to pre-compiled plausible explanatory models of the word used in combination with deep-nets (see e.g. [Augello et al. 2017]). We argue that this research agenda, even if does not directly fits the explanatory needs of Computational Cognitive Science, can still be useful to provide results in the area of applied AI aiming at shedding light on the models of interaction between low level and high level tasks (e.g. between perceptual categorization and explanantion) in artificial systems. (shrink)

A number of authors, including me, have argued that the output of our most complex climate models, that is, of global climate models and Earth system models, should be assessed possibilistically. Worries about the viability of doing so have also been expressed. I examine the assessment of the output of relatively simple climate models in the context of discovery and point out that this assessment is of epistemic possibilities. At the same time, I show that the concept of epistemic possibility (...) used in the relevant studies does not fit available analyses of this concept. Moreover, I provide an alternative analysis that does fit the studies and broad climate modelling practices as well as meshes with my existing view that climate model assessment should typically be of real possibilities. On my analysis, to assert that a proposition is epistemically possible is to assert that it is not known to be false and is consistent with at least approximate knowledge of the basic way things are. I, finally, consider some of the implications of my discussion for available possibilistic views of climate model assessment and for worries about such views. I conclude that my view helps to address worries about such assessment and permits using the full range of climate models in it. (shrink)

Starting with the first international publication of Le Van Thiem (Lê Văn Thiêm) in 1947, modern mathematics in Vietnam is a longstanding research field. However, what is known about its development usually comes from discrete essays such as anecdotes or interviews of renowned mathematicians. We introduce SciMath—a database on publications of Vietnamese mathematicians. To ensure this database covers as many publications as possible, data entries are manually collected from scientists’ publication records, journals’ websites, universities, and research institutions. Collected (...) data went through various verification steps to ensure data quality and minimize errors. At the time of this report, the database covered 8372 publications, profiles of 1566 Vietnamese, and 1492 foreign authors since 1947. We found a growing capability in mathematics research in Vietnam in various aspects: scientific output, publications on influential journals, or collaboration. The database and preliminary results were presented to the Scientific Council of Vietnam Institute for Advanced Study in Mathematics (VIASM) on November 13th, 2020. (shrink)

This study explores entrepreneurship research in Vietnam, a lower-middle-income country in Southeast Asia that has witnessed rapid economic growth since the 1990s but has nonetheless been absent in the relevant Western-centric literature. Using an exclusively developed software, the study presents a structured dataset on entrepreneurship research in Vietnam from 2008 to 2018, highlighting: low research output, low creativity level, inattention to entrepreneurship theories, and instead, a focus on practical business matters. The scholarship remains limited due to the (...) detachment between the academic and entrepreneur communities. More important are the findings that Vietnamese research on entrepreneurship, still in its infancy, diverges significantly from those in developed and emerging economies in terms of their content and methods. These studies are contextualized to a large extent to reflect the concerns of a developing economy still burdened by the high financial and nonfinancial costs. (shrink)

In his latest attack, even though he claims to be a practitioner of “close reading” (Wills 2018b, 34), it appears that Wills still has not bothered to read the paper in which I defend the thesis he seeks to attack (Mizrahi 2017a), or any of the papers in my exchange with Brown (Mizrahi 2017b; 2018a), as evidenced by the fact that he does not cite them at all. This explains why Wills completely misunderstands Weak Scientism and the arguments for the (...) quantitative superiority (in terms of research output and research impact) as well as qualitative superiority (in terms of explanatory, predictive, and instrumental success) of scientific knowledge over non-scientific knowledge. (shrink)

In my (2017a), I defend a view I call Weak Scientism, which is the view that knowledge produced by scientific disciplines is better than knowledge produced by non-scientific disciplines. Scientific knowledge can be said to be quantitatively better than non-scientific knowledge insofar as scientific disciplines produce more impactful knowledge–in the form of scholarly publications–than non-scientific disciplines (as measured by research output and research impact). Scientific knowledge can be said to be qualitatively better than non-scientific knowledge insofar as such (...) knowledge is explanatorily, instrumentally, and predictively more successful than non-scientific knowledge. Brown (2017a) raises several objections against my defense of Weak Scientism and I have replied to his objections (Mizrahi 2017b), thereby showing again that Weak Scientism is a defensible view. Since then, Brown (2017b) has reiterated his objections in another reply on SERRC. In this paper, I respond to Brown's objections, thereby showing once more that Weak Scientism is a defensible view. (shrink)

1. Biomedical sciences are fast-growing fields with unprecedented speed of research outputs, especially in the quantities of papers. Philosophers aiming to study ongoing biomedical changes face cha...

In the last decade Open Science principles, such as Open Access, study preregistration, use of preprints, making available data and code, and open peer review, have been successfully advocated for and are being slowly adopted in many different research communities. In response to the COVID-19 pandemic many publishers and researchers have sped up their adoption of some of these Open Science practices, sometimes embracing them fully and sometimes partially or in a sub-optimal manner. In this article, we express concerns (...) about the violation of some of the Open Science principles and its potential impact on the quality of research output. We provide evidence of the misuses of these principles at different stages of the scientific process. We call for a wider adoption of Open Science practices in the hope that this work will encourage a broader endorsement of Open Science principles and serve as a reminder that science should always be a rigorous process, reliable and transparent, especially in the context of a pandemic where research findings are being translated into practice even more rapidly. (shrink)

Open access (OA) is a set of principles and a range of practices through which research outputs are distributed online, free of access charges or other barriers.[1] With open access strictly defined (according to the 2001 definition), or libre open access, barriers to copying or reuse are also reduced or removed by applying an open license for copyright.

Despite centuries of colonization in the Philippines, the traditional Filipino healing system has survived. However, as modern education has continued to spread and Western medicine has grown in influence, traditional healing practices have been pushed to the margins and labeled as unscientific or mere superstition. This also suggests that unrecorded information may be lost forever. For future generations to appreciate this rich cultural heritage, cultural mapping of traditional healers in a local community is necessary. Thus, the researcher explored, identified, documented, (...) and analyzed the cultural profile of the traditional healers in a local community. Specifically, he studied the (1) background information, (2) description of the intangible cultural heritage, (3) stories/narratives associated with traditional healing, (4) significance of the practice, (5) assessment of the practice, and (6) references/supporting documentation of the traditional healers. The study was conducted in one of the local communities in the province of Quezon. The research participants were selected using inclusion criteria, and 11 traditional healers served as the key informants of the study. This study also employed qualitative research through cultural mapping, and pertinent data were obtained using participant observation, documentation, and interview guides. Qualitative content analysis was used in analyzing the gathered data. The findings revealed that the traditional healers have diverse background information, reflected in the element types, the geographical location and range of the element, and the related domains of the intangible cultural heritage. Likewise, the description of the intangible cultural heritage gave a wide array of descriptions of the history of practice, occasion/season, processes, and procedures involved, beliefs associated, settings, aims, social functions, and cultural meaning, culture bearer/s and practitioner/s of the element, mode of transmission, list of significant tangible movable heritage used associated with the element and list of significant flora/fauna used associated with the element. Meanwhile, spiritual guides and supernatural claims, healing severe cases, and being accused of malpractice or maltreatment were some of the stories/narratives associated with the element. In addition, traditional healing has historical, aesthetic, scientific, social, socio-economic, socio-political, and spiritual significance. Moreover, the assessment of practice exposed the condition/status of traditional healing, which is in danger because of the elderliness of the traditional healers and because no one is accepting the knowledge and practices. Furthermore, the constraint, threat, issue, or challenge experienced by the traditional healers is making false accusations against them. Nevertheless, traditional healers have identified several safeguarding measures in their traditional healing practice. These are transmission through informal education, identification, documentation, research, promotion, enhancement, and revitalization. Finally, sacred texts, books, pictures, prayers, and saints are the references or supporting documentation used in traditional healing. Based on the findings and conclusions, it is recommended to utilize the two research outputs: “Kaalaman at Kasanayan: Cultural Profile of Traditional Healers,” a booklet, and “Tanging Healing,” a documentary film about traditional healing for the preservation of local heritage, community development, and heritage education. (shrink)

International integration is a mandatory requirement and a dispensible trend for Vietnamese science today. Specifically, when comparing between natural sciences and technology (NS-T) with social sciences (SS), many researchers suggested that SS in Vietnam have a lower level of integration than NS-T. However, according to our understanding, there have not been many statistical studies, estimates and quantitative evaluation of the integration level of Vietnam social science. In this article, using the Network of Vietnamese Social Sciences database developed by AI Social (...) Data Lab, we introduce and analyze research results of domestic and overseas Vietnamese authors within the 2008-2018 period based on the following aspects: individual researchers (gender, study major, cooperation, leadership role), research group, work agency, study major, localities... Based on these preliminary results, a number of recommendations and policy implications would be proposed for policy makers as well as university leaders/managers. (shrink)

The transformational pace of modern education, healthcare, business management systems, etc., requires new approaches for prompt and reliable personality assessment. Phenotypology is one of such theories and it claims of the discovered interconnections of a person’s psychological and psychophysical characteristics on the basis of individual features of his/her phenotype. The article aim is to present some validation results for the Phenotypology hypotheses as a possible tool for personality assessment. In order to verify connections between phenotypic treats and individual behavior, we (...) conducted the study when respondents were differentiated according to some anthropometric (facial) peculiarities and characterological features. The results were quantified and analyzed using the mathematical-statistical linear regression. The research output contains the rationale for the conclusion that there are no statistically significant correlations between some phenotypic body features and such individual psychological characteristics as aggressiveness, impetuosity, pedantry, passivity, etc. In particular, the validity of using of appropriate phenotypologic representations to predict the examined character traits was studied. The obtained results disproved the possibility to use directly the phenotypic approach for reliable characterological profiling. Though, the study outcome is tentative due to some limitations on generality. It is necessary to continue verification of the Phenotypology hypotheses with a broader experimental sample with the inclusion of various ethnic and racial groups’ representatives. However, until then, based on actual findings, the practical application of the Phenotypology statements is doubtful, at least for the purposes of character diagnosis and personality assessment. (shrink)

For individual researchers and academics, research outputs are a crucial asset that enables public gaining of recognition and acknowledgments of their expertise. For institutions, industry sectors, and countries, scientific publications serve a more critical role, being a measure and an index that indicates scientific development and competitiveness. As a country that is transitioning to modernization and industrialization, Vietnam recognizes science and education as the driving force for its socio-economic development. The government has made sizeable efforts to enhance the (...) research capacity for research institutes and higher education establishments across the country. This involves introducing policies that prioritize research activities and elevating research funding and monitoring schemes to some certain levels. (shrink)

The transport sector is one of the largest sources of greenhouse gas emissions in New Zealand. To address this issue, the government is planning a set of actions to be implemented in the next 15 years. One of these actions deals with transport emissions and targets for a reduction in light vehicle travel. However, to achieve this goal, there is a need for both an updated assessment of effective interventions and an analysis of their relevance and applicability to the New (...) Zealand context. This report seeks to close the gap by conducting a narrative literature review of a collection of existing literature, supplemented with some targeted searches. With the focus on evidence relevant to New Zealand’s largest and fastest growing urban environments, the report identified 24 publicly available research outputs from around the world (mainly from Western European countries). The papers assessed differ not only in the type of research method and analysis applied but also the form of intervention (s) evaluated, the duration of the intervention and follow-up periods, the characteristics of the population groups or intervention sites studied, the measures, results and metrics relevant to New Zealand, and the outcomes of the interventions. Although these differences may represent a challenge in terms of comparability and transferability, they also provide opportunities and lessons for policy-and decision-makers. Finally, the report discusses the implications of the review and its findings and provides some directions and recommendations for future research, policy and practice for the measurement and evaluation of interventions. (shrink)

Academics should produce quality scholarly research. However, the demands of the marketised, neoliberal higher education institution and the increase in the academic’s bureaucratic and administrative tasks do not allow for adequate engagement with the deep work and slow forms of scholarship that are needed to produce cutting-edge and insightful research. Many academics find it challenging to think critically and creatively under such conditions, yet they are unwilling to fill their time with shallow work instead. Thus, they are torn (...) between producing an institutionally-determined number of research outputs, and striving towards producing quality scholarly work that advances knowledge in the academic’s discipline. Reading groups serve to rework this tension by providing a communal and scheduled place and mind-space for reading major academic works. Reading takes time and persistence. We find that setting aside time and creating creative spaces for reading groups offer an opportunity for silent revolt against the pressures of the higher education institution. In this (post)qualitative inquiry we diffractively read – “through one another” – two autoethnographical accounts to experiment with our experiences of various reading groups over a period of three years while positioning ourselves in relation to Barad’s notion of diffraction. This speculative experimentation entails a myriad of ideas and methods that serve to decentre hegemonic, monolithic knowledge systems through seeking alternative ways of knowing, and recognises the importance of the entanglement of matter and meaning in tracing (and countering) the social relations produced in neoliberalist contexts. Such (re)thinking is thus a vital counterpoint to the neoliberal obsessions of the higher education context, (re)directing the scholar to new non-autonomous and mutable landscapes. (shrink)

in academic entrepreneurship and creation of university spin-off companies has grown in South Africa. This study aims to establish the factors that inspire academics to engage in entrepreneurial activities and to identify the role that academic entrepreneurs play in the process of technology transfer and commercialization at University of Technology (UoT) X. A quantitative research approach is adopted throughout this study. As part of the quantitative research approach, structured questionnaires were directly administered to the respondents to collect the (...) data. Specifically, 52 electronic survey questionnaires were distributed. The sample is drawn from two databases compiled, using UOTX’s internal research records. One of the databases, held a list of those academics who have been active in terms of research as evident in their research outputs – technology creation and transfer. The other database (control group) holds a list of those academics that have not been active. From both groups, a purposive sample is drawn for the survey questionnaire. This study notes that pull factors tend to influence the entrepreneurial activities of academics at UOT X more than push factors and that academics are key players in the process of technology transfer. Thus, this study may assist the university senior management to develop strategies to improve academic entrepreneurship for all faculties. In line with this, it is expected that the primary function of UOT X should be to instil a greater entrepreneurial spirit among the relevant stakeholders. (shrink)

Abstract In this chapter, we challenge the presupposed concept of innovation in the responsible innovation literature. As a first step, we raise several questions with regard to the possibility of ‘responsible’ innovation and point at several difficulties which undermine the supposedly responsible character of innovation processes, based on an analysis of the input, throughput and output of innovation processes. It becomes clear that the practical applicability of the concept of responsible innovation is highly problematic and that a more thorough inquiry (...) of the concept is required. As a second step, we analyze the concept of innovation which is self-evidently presupposed in current literature on responsible innovation. It becomes clear that innovation is self-evidently seen as (1) technological innovation, (2) is primarily perceived from an economic perspective, (3) is inherently good and (4) presupposes a symmetry between moral agents and moral addressees. By challenging this narrow and uncritical concept of innovation, we contribute to a second round of theorizing about the concept and provide a research agenda for future research in order to enhance a less naïve concept of responsible innovation. (shrink)

Background Retraction is a mechanism for alerting readers to unreliable material and other problems in the published scientific and scholarly record. Retracted publications generally remain visible and searchable, but the intention of retraction is to mark them as “removed” from the citable record of scholarship. However, in practice, some retracted articles continue to be treated by researchers and the public as valid content as they are often unaware of the retraction. Research over the past decade has identified a number (...) of factors contributing to the unintentional spread of retracted research. The goal of the Reducing the Inadvertent Spread of Retracted Science: Shaping a Research and Implementation Agenda (RISRS) project was to develop an actionable agenda for reducing the inadvertent spread of retracted science. This included identifying how retraction status could be more thoroughly disseminated, and determining what actions are feasible and relevant for particular stakeholders who play a role in the distribution of knowledge. -/- Methods These recommendations were developed as part of a year-long process that included a scoping review of empirical literature and successive rounds of stakeholder consultation, culminating in a three-part online workshop that brought together a diverse body of 65 stakeholders in October–November 2020 to engage in collaborative problem solving and dialogue. Stakeholders held roles such as publishers, editors, researchers, librarians, standards developers, funding program officers, and technologists and worked for institutions such as universities, governmental agencies, funding organizations, publishing houses, libraries, standards organizations, and technology providers. Workshop discussions were seeded by materials derived from stakeholder interviews (N = 47) and short original discussion pieces contributed by stakeholders. The online workshop resulted in a set of recommendations to address the complexities of retracted research throughout the scholarly communications ecosystem. -/- Results The RISRS recommendations are: (1) Develop a systematic cross-industry approach to ensure the public availability of consistent, standardized, interoperable, and timely information about retractions; (2) Recommend a taxonomy of retraction categories/classifications and corresponding retraction metadata that can be adopted by all stakeholders; (3) Develop best practices for coordinating the retraction process to enable timely, fair, unbiased outcomes; and (4) Educate stakeholders about pre- and post-publication stewardship, including retraction and correction of the scholarly record. -/- Conclusions Our stakeholder engagement study led to 4 recommendations to address inadvertent citation of retracted research, and formation of a working group to develop the Communication of Retractions, Removals, and Expressions of Concern (CORREC) Recommended Practice. Further work will be needed to determine how well retractions are currently documented, how retraction of code and datasets impacts related publications, and to identify if retraction metadata (fails to) propagate. Outcomes of all this work should lead to ensuring retracted papers are never cited without awareness of the retraction, and that, in public fora outside of science, retracted papers are not treated as valid scientific outputs. (shrink)

The research study aimed at assessing the various difficulties that speech teachers had in delivering lessons during the distance learning era. The various phenomena and themes that emerged from the survey were determined using a descriptive research design. The survey was conducted to collect information about the various characteristics and behavior of speech teachers. It also explored the factors that influenced their decisions and actions when it came to addressing the pandemic. The repeated themes that emerged, include low (...) motivation, altered activities, unstable internet connection, comprehension, questionable output integrity, delayed submissions, in-person monitoring, and the system of communicating with inactive students in online mode. (shrink)

This study presents a description of an open database on scientific output of Vietnamese researchers in social sciences and humanities, one that corrects for the shortcomings in current research publication databases such as data duplication, slow update, and a substantial cost of doing science. Here, using scientists’ self-reports, open online sources and cross-checking with Scopus database, we introduce a manual system and its semi-automated version of the database on the profiles of 657 Vietnamese researchers in social sciences and humanities (...) who have published in Scopus-indexed journals from 2008 to 2018. The final system also records 973 foreign co-authors, 1,289 papers, and 789 affiliations. The data collection method, highly applicable for other sources, could be replicated in other developing countries while its content be used in cross-section, multivariate, and network data analyses. The open database is expected to help Vietnam revamp its research capacity and meet the public demand for greater transparency in science management. (shrink)

Abstract: This research focuses on utilizing Artificial Neural Networks (ANNs) to predict Audit Risk accurately, a critical aspect of ensuring financial system integrity and preventing fraud. Our dataset, gathered from Kaggle, comprises 18 diverse features, including financial and historical parameters, offering a comprehensive view of audit-related factors. These features encompass 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' 'History_score,' 'score,' and 'Risk,' with a total of 774 samples. Our proposed neural network architecture, consisting of (...) three layers (1 input, 1 hidden, and 1 output), forms the core of this study. While it may seem simple, the power of ANNs lies not in complexity but in their ability to uncover intricate data patterns. The model underwent rigorous training and validation, resulting in remarkable outcomes—an accuracy of 100% and an average error rate of 0.000015. In addition to performance metrics, our research investigates feature importance, revealing the key contributors to Audit Risk prediction. Notably, 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' and 'History_score' emerged as the most influential factors, shedding light on the elements crucial for precise risk assessment. This study advances Audit Risk prediction models and highlights the potential of ANNs in strengthening financial system integrity and fraud prevention. The insights gained from our findings offer practical guidance for stakeholders in the audit and financial sectors. (shrink)

Abstract: This research paper presents a novel approach to predict audit risks using a neural network model. The dataset used for this study was obtained from Kaggle and comprises 774 samples with 18 features, including Sector_score, PARA_A, SCORE_A, PARA_B, SCORE_B, TOTAL, numbers, marks, Money_Value, District, Loss, Loss_SCORE, History, History_score, score, and Risk. The proposed neural network architecture consists of three layers, including one input layer, one hidden layer, and one output layer. The neural network model was trained and validated, (...) achieving an impressive accuracy of 100% and an average error of 0.000015, indicating its robust predictive capability. Moreover, we conducted feature importance analysis to identify the most influential features for predicting audit risk. The key features found to be critical for classifying fraudulent activities in audit risk prediction are Sector_score, PARA_A, SCORE_A, PARA_B, SCORE_B, TOTAL, numbers, marks, Money_Value, District, Loss, Loss_SCORE, History, and History_score. This research contributes to the field of audit risk prediction by demonstrating the effectiveness of a neural network-based approach and highlighting the importance of specific features in detecting fraudulent activities. The findings have significant implications for auditors and organizations seeking to enhance their audit risk assessment processes, ultimately leading to improved financial transparency and fraud detection. (shrink)

Some artificial intelligence systems can display algorithmic bias, i.e. they may produce outputs that unfairly discriminate against people based on their social identity. Much research on this topic focuses on algorithmic bias that disadvantages people based on their gender or racial identity. The related ethical problems are significant and well known. Algorithmic bias against other aspects of people’s social identity, for instance, their political orientation, remains largely unexplored. This paper argues that algorithmic bias against people’s political orientation can (...) arise in some of the same ways in which algorithmic gender and racial biases emerge. However, it differs importantly from them because there are strong social norms against gender and racial biases. This does not hold to the same extent for political biases. Political biases can thus more powerfully influence people, which increases the chances that these biases become embedded in algorithms and makes algorithmic political biases harder to detect and eradicate than gender and racial biases even though they all can produce similar harm. Since some algorithms can now also easily identify people’s political orientations against their will, these problems are exacerbated. Algorithmic political bias thus raises substantial and distinctive risks that the AI community should be aware of and examine. (shrink)

This article states that research in skill acquisitionand executionhas underestimated the relevance of some features of attention. We present and theoretically discuss two essential features of attention that have been systematically overlooked in the research of skill acquisitionandexecution. First, attention alters the appearance of the perceived stimuli in an essential way; and second, attention plays a fundamental role in action, being crucial for solving the so called ’many-many problem’, that is to say, the problem of generating a coherent (...) behavior byselecting between many inputs and many potential outputs. We discuss the importance of these features for skill acquisition in sport. We also suggest empirical ways to assess the precise impact of taking them into consideration and at the same time we propose important implications for training derived from the ideas discussed in the paper. (shrink)

The study determined the problem-solving performance and skills of prospective elementary teachers (PETs) in the Northern Philippines. Specifically, it defined the PETs’ level of problem-solving performance in number sense, measurement, geometry, algebra, and probability; significant predictors of their problem-solving performance in terms of sex, socio-economic status, parents’ educational attainment, high school graduated from and subject preference; and their problem-solving skills. The PETs’ problem-solving performance was determined by a problem set consisting of word problems with number sense, measurement, geometry, algebra, and (...) probability. A mixed-method research design was employed. Senior PETs purposively served as a sample where they mostly preferred to teach other subjects than mathematics. PETs who preferred math performed satisfactorily, while prospective teachers who opted for other subjects performed unsatisfactorily. The PETs’ unsatisfactory output indicates the need for remediation to advance the mathematical material skills and enrich the problem-solving abilities of these primary schools' potential teachers. Besides, results showed that subject preference strongly affected and predicted the problem-solving success of the PETs. PETs who preferred to teach mathematics performed significantly better than their counterparts; hence, mathematics as a field of specialization in the Bachelor of Elementary Education program may be considered by teacher education institutions. Further, most PETs displayed lack of problem-solving skills; thus, a Problem-Solving course is recommended for them. (shrink)

Abstract: This research aims at the design and implementation of an automatic high-performance voltage stabilizer which helps to detect inappropriate voltage levels and correct them to produce a reasonably stable output. The system consists of five dependent architectural designs which involve the power supply, delay switching circuit, monitoring circuit and load changeover circuit using 555 ic which produces the required signal when switched on by a relay to activate the alarm. The system uses a relay to charge the batteries (...) and automatically switches on this supply to supply the loads. It is composed of switching transistors and relay to control the power provided to ac loads, and it has LEDs for indicating the state of the system, 240-220vac/120-110vac switch, voltmeter displaying load voltage, heatsink, and fans for cooling the system. The system protects electrical equipment and machine against voltage surge. (shrink)

Kidney stones pose a significant health concern, and early detection can lead to timely intervention and improved patient outcomes. This research endeavours to predict the presence of kidney stones based on urine analysis, utilizing a neural network model. A dataset of 552 urine specimens, comprising six essential physical characteristics (specific gravity, pH, osmolarity, conductivity, urea concentration, and calcium concentration), was collected and prepared. Our proposed neural network architecture, featuring three layers (input, hidden, output), was trained and validated, achieving an (...) impressive accuracy of 98.67% and an average error of 0.012. In addition to model performance, feature importance analysis was conducted to determine the most influential factors in predicting kidney stone presence. The findings underscore the significance of urea concentration, specific gravity, calcium concentration, conductivity, osmolarity, and pH as key indicators. This research contributes to the early diagnosis of kidney stones and demonstrates the potential of neural networks in medical diagnostics. The clinical implications of these findings are discussed, emphasizing the importance of timely intervention in managing kidney stone-related health issues. (shrink)

Cardiovascular diseases, including heart disease, pose a significant global health challenge, contributing to a substantial burden on healthcare systems and individuals. Early detection and accurate prediction of heart disease are crucial for timely intervention and improved patient outcomes. This research explores the potential of neural networks in predicting heart disease using a dataset collected from Kaggle, consisting of 1025 samples with 14 distinct features. The study's primary objective is to develop an effective neural network model for binary classification, identifying (...) the presence or absence of heart disease. The neural network architecture includes an input layer, a hidden layer, and an output layer, designed to capture intricate relationships within the dataset. Rigorous training and validation processes, accompanied by data preprocessing steps, ensure the model's robustness and generalization capabilities. The results demonstrate promising performance, with an accuracy of 92% and an average error of 0.062. Moreover, an analysis of feature importance highlights key predictors, including "oldpeak," "thalach," "trestbps," "ca," "thal," "cp," "chol," "sex," "restecg," "age," "slope," "fbs," and "exang." This research contributes to the field of predictive healthcare by leveraging neural networks to enhance heart disease prediction. The developed model offers the potential for early identification of individuals at risk, facilitating timely medical interventions and ultimately improving public health. Further exploration of machine learning techniques in healthcare promises to reshape disease prediction and prevention strategies. (shrink)

Recently, it has been argued that the use of Big Data transforms the sciences, making data-driven research possible and studying causality redundant. In this paper, I focus on the claim on causal knowledge by examining the Big Data project EXPOsOMICS, whose research is funded by the European Commission and considered capable of improving our understanding of the relation between exposure and disease. While EXPOsOMICS may seem the perfect exemplification of the data-driven view, I show how causal knowledge is (...) necessary for the project, both as a source for handling complexity and as an output for meeting the project’s goals. Consequently, I argue that data-driven claims about causality are fundamentally flawed and causal knowledge should be considered a necessary aspect of Big Data science. In addition, I present the consequences of this result on other data-driven claims, concerning the role of theoretical considerations. I argue that the importance of causal knowledge and other kinds of theoretical engagement in EXPOsOMICS undermine theory-free accounts and suggest alternative ways of framing science based on Big Data. (shrink)

Abstract: In this research, an Artificial Neural Network (ANN) model was developed and tested to predict efficiency of antibiotics in treating various bacteria types. Attributes that were taken in account are: organism name, specimen type, and antibiotic name as input and susceptibility as an output. A model based on one input, one hidden, and one output layers concept topology was developed and trained using a data from Queensland government's website. The evaluation shows that the ANN model is capable of (...) correctly predicting the susceptibility of organisms to the antibiotics with 98% accuracy. -/- . (shrink)

Forty years’ experience as a bacterial geneticist has taught me that bacteria possess many cognitive, computational and evolutionary capabilities unimaginable in the first six decades of the twentieth century. Analysis of cellular processes such as metabolism, regulation of protein synthesis, and DNA repair established that bacteria continually monitor their external and internal environments and compute functional outputs based on information provided by their sensory apparatus. Studies of genetic recombination, lysogeny, antibiotic resistance and my own work on transposable elements revealed (...) multiple widespread bacterial systems for mobilizing and engineering DNA molecules. Examination of colony development and organization led me to appreciate how extensive multicellular collaboration is among the majority of bacterial species. Contemporary research in many laboratories on cell–cell signaling, symbiosis and pathogenesis show that bacteria utilise sophisticated mechanisms for intercellular communication and even have the ability to commandeer the basic cell biology of ‘higher’ plants and animals to meet their own needs. This remarkable series of observations requires us to revise basic ideas about biological information processing and recognise that even the smallest cells are sentient beings. Previous article in issue. (shrink)

In this paper, I argue that looking at the concept of neural function through the lens of cognition alone risks cognitive myopia: it leads neuroscientists to focus only on mechanisms with cognitive functions that process behaviorally relevant information when conceptualizing “neural function”. Cognitive myopia tempts researchers to neglect neural mechanisms with noncognitive functions which do not process behaviorally relevant information but maintain and repair neural and other systems of the body. Cognitive myopia similarly affects philosophy of neuroscience because scholars overlook (...) noncognitive functions when analyzing issues surrounding e.g., functional decomposition or the multifunctionality of neural structures. I argue that we can overcome cognitive myopia by adopting a patchwork approach that articulates cognitive and noncognitive “patches” of the concept of neural function. Cognitive patches describe mechanisms with causally specific effects on cognition and behavior which are likely operative in transforming sensory or other inputs into motor outputs. Noncognitive patches describe mechanisms that lack such specific effects; these mechanisms are enabling conditions for cognitive functions to occur. I use these distinctions to characterize two noncognitive functions at the mesoscale of neural circuits: subsistence functions like breathing are implemented by central pattern generators and are necessary to maintain the life of the organism. Infrastructural functions like gain control are implemented by canonical microcircuits and prevent neural system damage while cognitive processing occurs. By adding conceptual patches that describe these functions, a patchwork approach can overcome cognitive myopia and help us explain how the brain’s capacities as an information processing device are constrained by its ability to maintain and repair itself as a physiological apparatus. (shrink)

The role of scientists as experts is crucial to public policymaking. However, the expert role is contested and unsettled in both public and scholarly discourse. In this paper, I provide a systematic account of the role of scientists as experts in policymaking by examining whether there are any normatively relevant differences between this role and the role of scientists as researchers. Two different interpretations can be given of how the two roles relate to each other. The separability view states that (...) there is a normatively relevant difference between the two roles, whereas the inseparability view denies that there is such a difference. Based on a systematic analysis of the central aspects of the role of scientists as experts – that is, its aim, context, mode of output, and standards, I propose a moderate version of the separability view. Whereas the aim of scientific research is typically to produce new knowledge through the use of scientific method for evaluation and dissemination in internal settings, the aim of the expert is to provide policymakers and the public with relevant and applicable knowledge that can premise political reasoning and deliberation. (shrink)

In the last 20 years, a stream of research emerged under the label of „complex problem solving“ (CPS). This research was intended to describe the way people deal with complex, dynamic, and intransparent situations. Complex computer-simulated scenarios were as stimulus material in psychological experiments. This line of research lead to subtle insights into the way how people deal with complexity and uncertainty. Besides these knowledge-rich, realistic, intransparent, complex, dynamic scenarios with many variables, a second line of (...) class='Hi'>research used more simple, knowledge-lean scenarios with a low number of variables („minimal complex systems“, MCS) that have been proposed recently in problem-solving research for the purpose of educational assessment. In both cases, the idea behind the use of microworlds is to increase validity of problem solving tasks by presenting interactive environments that can be explored and controlled by participants while pursuing certain action goals. The main argument presented here is: both types of systems - CPS and MCS – can only be dealt with successfully if causal dependencies between input and output variables are identified and used for system control. System knowledge is necessary for control and intervention. But CPS and MCS differ in their way of how causal dependencies are identified and how the mental model is constructed; therefore, they cannot be compared directly to each other with respect to the cognitive processes that are necessary for solving the tasks. Knowledge-poor MCS tasks address only a small fraction of the cognitive processes and structures needed for knowledge-rich CPS situations. (shrink)