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Joan Procter, Dragon Doctor describes the life of Joan Beauchamp Procter, renowned herpetologist, zoologist, Curator of Reptiles at the British Museum and designer of the London Zoo Reptile House. In this lesson, students reframe initial viewpoints of scientists that are not representative of a broad understanding of who scientists are and what being a scientist means. Exploring understandings and expanding their view of science to include varied areas of social sciences provokes deep discussions among students as they prepare to teach others. Using content area skills, artwork, writing, literacy and technology, students explore diverse people and fields of the sciences.

Students engage in collaborative efforts with peers to involve themselves with content knowledge and skills in the social studies, as they integrate other areas of the curriculum including science, art, writing, literacy, literature, technology, critical thinking, research skills and inquiry-based learning. Findings include students participating in meaningful learning individually and collectively through inquiry. As students learn with and from one another, they conceptualize their own ideas through their own work in exploring relevant resources. Students plan action to move learning outside the classroom in generating changes in museums and monuments to showcase broader cultural representation of scientists in their communities.

Students engage in inquiry learning using Joan Procter, Dragon Doctor as a key text. Students explore the text and related resources, while learning with one another about scientists. Students expand their content knowledge and apply critical thinking skills, noting similarities and differences in scientists, ultimately acknowledging that what scientists do through inquiry and exploration helps them identify as scientists. Varied fields and backgrounds of scientists are explored, and students examine cultural representation in museums commemorating scientists and scientific contributions. Students create action plans to consult with museums about these issues and curate exhibits, like Joan Procter, to share with others.

This lesson provides students multiple avenues to deepen learning while conceptualizing and formulating their own understandings. Further, students are required to use multiple skills in conveying their ideas for social change to reflect their new broader conceptualization of scientists and the many fields that science includes. Additionally, they have to understand the topics discussed fully in order to convey their research findings to another audience in their school or community as they create museum exhibits. Finally, while students learn, they begin to see themselves represented in fields through evident, inclusive demonstrations of contributions by diverse scientists.

This study aims to investigate patterns in international travel behavior of scientific staff depending on the categories of gender, scientific field and scientific seniority level. The learning from salient differences possibly revealed may inform measures for reducing travel greenhouse gas (GHG) emissions, especially for high-emitting staff groups, and help strengthen the equality between scientists of different categories concerning their travel behavior.

The study collected and used novel empirical data on travel GHG emissions from University of Graz scientific staff for five consecutive years (2015–2019) and used statistical analysis and inference to test and answer three distinct research questions on patterns of travel behavior.

The travel footprint of scientific staff, in terms of annual GHG emissions per scientist, exhibits various highly significant differences across scientific fields, seniority and gender, such as male senior natural scientists showing ten times higher per-person emissions than female junior social scientists.

The five-year travel GHG emissions data set across all fields from natural sciences via social sciences to humanities at a large university (Uni Graz, Austria, about 2,000 scientific staff) and across seniority levels from predocs to professors, both for female and male scientists, enabled a robust empirical study revealing distinct differences in travel GHG footprints of academic staff. In this way, the study adds valuable insights for higher research institutions toward effective GHG reduction policies.

The purpose of the paper is to showcase the significant achievements of Egypt's scientists in the 20th century across various fields of study such as medicine, physics, chemistry, biology, math, geology, astronomy and engineering. The paper highlights the struggles and successes of these scientists, as well as the cultural, social and political factors that influenced their lives and work. The aim is to inspire young people to pursue careers in science and make their own contributions to society by presenting these scientists as role models for hard work and dedication. Ultimately, the paper seeks to promote the importance of science and its impact on society.

The purpose of this review is to present the scientific biographies of Egypt's most distinguished scientists, primarily in the field of Natural Sciences, in a balanced and comprehensive manner. The work is objective, honest and abstract, avoiding any bias or exaggeration. The author provides a clear and concise methodology, including a brief introduction to the scientist and their field of study, an explanation of their major contributions, the impact of their work on society, any challenges or obstacles faced during their career and their lasting legacy. The aim is to showcase the important achievements of these scientists, their impact on their respective fields and to inspire future generations to pursue scientific careers.

The group of outstanding scientists in 20th century Egypt were shaped by various factors, including familial upbringing, education, society, political and cultural atmosphere and state support for scientific research. These scientists made significant contributions to various academic disciplines, including medicine, physics, chemistry, biology, mathematics and engineering. Their impact on their communities and cultures has received international acclaim, making them role models for future generations of scientists and researchers. The history of these scientists highlights the importance of educational investments and supporting scientific research to foster innovation and social progress. The encyclopedia serves as a useful tool for students, instructors and education professionals, preserving Egypt's scientific heritage and honouring the scientists' outstanding accomplishments.

The encyclopedia preserves Egypt's scientific heritage, which has been overlooked for political or other reasons. It is a useful tool for a variety of readers, including students, instructors and education professionals, and it offers insights into universally relevant scientific success factors as well as scientific research methodologies. The encyclopedia honours the outstanding scientific accomplishments of Egyptian researchers and their contributions to the world's scientific community.

The practical implications of this paper are several. First, it highlights the importance of education, family upbringing and societal support for scientific research in fostering innovation and social progress. Second, it underscores the need for continued funding and support for scientific research to maintain and build upon the accomplishments of past generations of scientists. Third, it encourages young people to pursue scientific careers and make their own contributions to society. Fourth, it preserves the scientific heritage of Egypt and honors the contributions of its outstanding scientists. Finally, it serves as a useful tool for students, instructors and education professionals seeking to understand the factors underlying scientific success and research methodologies.

The social implications of the paper include promoting national pride and cultural identity, raising awareness of the importance of education and scientific research in driving social progress, inspiring future generations of scientists and researchers, reducing socioeconomic disparities and emphasizing the role of society, politics and culture in shaping scientific researchers' personalities and interests.

The paper's originality/value lies in its comprehensive documentation of the scientific biographies of Egypt's most prominent scientists in the 20th century, providing unique insights into the factors that contributed to their development and their impact across various academic disciplines. It preserves Egypt's scientific heritage and inspires future generations of scientists and researchers through the promotion of educational investments and scientific research. The encyclopedia serves as a useful tool for education professionals seeking to understand scientific success factors and research methodologies, emphasizing the importance of supportive and inclusive environments for scientific development.

This study aims to develop a model of learning-by-hiring in which knowledge gains may occur at the time of recruitment but also after recruitment when other incumbent organizational members assimilate a recruit’s knowledge. The author’s model predicts that experienced recruits are more likely to catalyze change to their organization’s core technological capabilities.

The continuous-time parametric hazard rate regressions predict core technological change in a long panel (1970–2017) of US biotechnology industry patent data. The author uses over 140,000 patents to model the evolution of knowledge of over 52,000 scientists and over 4,450 firms. To address endogeneity concerns, the author uses the Heckman selection method and does robustness tests using a difference-in-difference analysis.

The author finds that a hire’s prior research and development (R&D) experience helps overcome inertia arising from her or his new-to-an-organization “distant” knowledge to increase the likelihood of core technological change. In addition, while the author finds that incumbent organizational members resist technological change, experienced hires may effectively induce them to adopt new ways of doing things. This is particularly the case when hires collaborate with incumbents in R&D projects. Understanding the effects of hiring on core technological change, therefore, benefits from an assessment of hire R&D experience and its effects on incumbent inertia in an organization.

First, the author does not recommend managers to hire scientists with considerable distant knowledge only as this may be detrimental to core technological change. Second, the author recommends organizations striving to effectuate technological change to hire people with considerable prior R&D experience as this confers them with the ability to influence other members and socialize incumbent members. Third, the author recommends that managers hire people with both significant levels of prior experience and distant knowledge as they are complements. Finally, the author recommends managers to encourage collaboration between highly experienced hired scientists and long-tenured incumbent organizational members to facilitate incumbent learning, socialization and adoption of new ways of doing things.

This study develops a model of learning-by-hiring, which, to the best of the authors’ knowledge, is the first to propose, test and advance KM literature by showing the effectiveness of experienced hires to stimulate knowledge diffusion and core technological change over time after being hired. This study contributes to innovation, organizational learning and strategy literatures.

Data science promises new opportunities for organizational decision-making. Data scientists arguably play an important role in this regard and one can even observe a certain “buzz” around this nascent occupation. This paper enquires into how data scientists construct their occupational identity and the challenges they experience when enacting it.

Based on semi-structured interviews with data scientists working in different industries, the authors explore how these actors draw on their educational background, work experiences and perception of the contemporary digitalization discourse to craft their occupational identities.

The authors identify three main components of data scientists’ occupational identity: a scientific mindset, an interest in sophisticated forms of data work and a problem-solving attitude. The authors demonstrate how enacting this identity is sometimes challenged through what data scientists perceive as either too low or too high expectations that managers form towards them. To address those expectations, they engage in outward-facing identity work by carrying out educational work within the organization and (paradoxically) stressing both prestigious and non-prestigious parts of their work to “tame” the ambiguity and hype they perceive in managers’ expectations. In addition, they act upon themselves to better appreciate managers’ perspectives and expectations.

This study contributes to research on data scientists as well as the accounting literature that often refers to data scientists as new competitors for accountants. It cautions scholars and practitioners alike to be careful when discussing the possibilities and limitations of data science concerning advancements in accounting and control.

The purpose of this study is to examine the rostering practices and work experiences of medical scientists at four health services in the Australian public healthcare sector. There are over 16,000 medical scientists (AIHW, 2019) in Australia responsible for carrying out pathology testing to help save the lives of thousands of patients every day. However, there are systemic shortages of medical scientists largely due to erratic rostering practices and workload issues. The purpose of this paper is to integrate evidence-based human resource management (EBHRM), the LAMP model and HR analytics to enhance line manager decision-making on rostering to support the wellbeing of medical scientists.

Using a qualitative methodological approach, the authors conducted 21 semi-structured interviews with managers/directors and nine focus groups with 53 medical scientists, making a total 74 participants from four large public hospitals in Australia.

Across four health services, manual systems of rostering and management decisions do not meet the requirements of the enterprise agreement (EA) and impact negatively on the wellbeing of medical scientists in pathology services. The authors found no evidence of the systematic approach of the organisations and line managers to implement the LAMP model to understand the root causes of rostering challenges and negative impact on employees. Moreover, there was no evidence of sophisticated use of HR analytics or EBHRM to support line managers' decision-making regarding mitigation of rostering related challenges such as absenteeism and employee turnover.

The authors contribute to HRM theory by integrating EBHRM, the LAMP model (Boudreau and Ramstad, 2007) and HR analytics to inform line management decision-making. The authors advance understandings of how EBHRM incorporating the LAMP model and HR analytics can provide a systematic and robust process for line managers to make informed decisions underpinned by data.

Although natural science disciplines significantly contribute to sustainable development goals (SDGs), little research attends to how higher education institutions (HEIs) influence the development of leadership skills needed among sustainability leaders. This paper aims to examine the leadership development experiences of natural scientists at the forefront of disciplines associated with SDGs to identify barriers and drivers to sustainability leadership skills development at HEIs.

A mixed-methods comparative study was used, integrating qualitative interviews among 21 natural scientists and 11 non-scientists, two focus group discussions and a cross-sectional survey of 221 leaders. The theory of planned behaviour was used as the analytical frame to identify themes emerging from the data as facilitators or barriers to leadership development.

There was a statistically significant difference between scientists and non-scientists in the attitudes, beliefs and perceptions that drive participation in leadership development activities. Attitudes belittling leadership skills, limited integration of leadership skills in medical, engineering and agricultural curricula and a social identity of superior learning efficacy impede natural scientist students at HEIs from engaging in leadership development.

Further research using a larger sample could assess the prevalence and effect of the drivers and barriers on sustainability leadership effectiveness.

Beyond integrating leadership skills in HEIs curricula, the development of sustainability leadership requires deliberate elevation of the value of leadership skills within natural sciences, specifically by addressing attitudes, beliefs and workload challenges that impede scientists’ engagement in co-curricular activities.

Integrating multiple disciplines provides generalised insights into the context of leadership development among natural scientists at HEIs. This study identifies specific drivers and barriers affecting leadership development at HEIs in a developing country setting.

While science, technology, engineering and math (STEM) postdoctoral scholars often enter their positions with strong science identities, racially marginalized scholars are often not treated as scientists, which can weaken their science identities. This study aims to examine how racial discrimination negatively affects their science identities in STEM and the importance of community recognition in mitigating these effects.

The authors use reflected appraisals and identity theory to theoretically guide this work. The data are based on a survey of 215 postdoctoral scholars in STEM disciplines.

The authors find that community recognition mediates the negative relationship between perceived discrimination and postdoctoral scholars’ science identities.

The study shows the importance of recognizing the achievements and identities of underrepresented STEM scholars to counteract the chronic and cumulative identity nonverification that leaves talent unrecognized and disrupts scholars’ science identities.

The authors explore the negative impact of discriminatory experiences on the importance individuals place on their identities as scientists and if this can be affected by the degree to which they feel that other scientists recognize them as competent scientists among a group of scholars who have earned the highest of academic degrees, and who are also relatively understudied: postdocs.

The purpose of this paper is twofold. First, the article explores an understudied side of invention commercialization–the rejection of business as something “dirty” among Russian scientists. As such, the paper contributes to the individual-level explanations of innovation promotion, hence balancing extant literature's excessive focus on institutional explanations. Second, the article suggests that Russian scientists' rejection of business is rooted in broader Russian work ethics rift between “material” and “ideational” aspects of life. As such, the paper shows how dominant collective values refract in the management practice of specific social class, i.e. of scientists.

To analyze the rift between material and ideational aspects of Russian scientists' work, the article employs directed content analysis (DCA) of in-depth interviews with 45 Russian scholars. To address credibility bias of the research findings stemming from DCA, I further draw on the survey of existing studies, researches and polls highlighting Russian population attitudes toward the dichotomy between “material” and “ideal” realms.

This study argues that Russian scientists' likelihood of invention commercialization is positively associated with their ability to integrate in a personal psyche business and science as equally valuable facets of life.

The article identifies the three groups of scientists – opportunity-seekers, idealists and integrators – with different attitudes to invention commercialization. The article shows how policymakers should apply institutional incentives differently to each group of scientists to achieve higher rates of invention commercialization.

Analytics technologies are profoundly changing the way in which organizations generate economic and social value from data. Consequently, the professional roles of data scientists and data analysts are in high demand in the labor market. Although the technical competencies expected for these roles are well known, their behavioral competencies have not been thoroughly investigated. Drawing on the competency-based theoretical framework, this study aims to address this gap, providing evidence of the emotional, social and cognitive competencies that data scientists and data analysts most frequently demonstrate when they effectively perform their jobs, and identifying those competencies that distinguish them.

This study is exploratory in nature and adopts the competency-based methodology through the analysis of in-depth behavioral event interviews collected from a sample of 24 Italian data scientists and data analysts.

The findings empirically enrich the extant literature on the intangible dimensions of human capital that are relevant in analytics roles. Specifically, the results show that, in comparison to data analysts, data scientists more frequently use certain competencies related to self-awareness, teamwork, networking, flexibility, system thinking and lateral thinking.

The study was conducted in a small sample and in a specific geographical area, and this may reduce the analytic generalizability of the findings.

The skills shortages that characterize these roles need to be addressed in a way that also considers the intangible dimensions of human capital. Educational institutions can design better curricula for entry-level data scientists and analysts who encompass the development of behavioral competencies. Organizations can effectively orient the recruitment and the training processes toward the most relevant competencies for those analytics roles.

This exploratory study advances our understanding of the competencies required by professionals who mostly contribute to the performance of data science teams. This article proposes a competency framework that can be adopted to assess a broader portfolio of the behaviors of big data professionals.