RESUMEN

This work explores if behaviour-based asymmetries are likely to impact deal valuation in the life sciences by examining positive public sentiment as a proxy for market behaviour when negotiating under asymmetric conditions to examine heterogeneity in research & development collaboration (RDC) deal data. We use public sentiment as a proxy for behaviour along with stage of development-based RDC deal data to search for latent classes in the deal data using finite mixture modelling. The analysis reveals a nuanced picture: public sentiment emerges as a significant predictor of deal value, but only for approximately 15% of the data set. This subset exclusively includes firms in the Preclinical stage, where projects have moved past discovery but are yet to commence human studies. Interestingly, the research finds that sentiment's impact on deal valuation is particularly pronounced in this stage, suggesting heightened market sensitivity. With recent research demonstrating that knowledge asymmetry and behaviour impact valuation volatility, we take this further by capturing latent classes within the data which demonstrates how behaviour is most influential in deal pricing considerations. We argue that our research demonstrates the impact of asymmetry and market behaviour on a subset of RDCs where products are known, but likelihood of success is difficult to determine.

Asunto(s)

RESUMEN

Summarized here are some aspects of my research activities in Ciba-Geigy Central Research Laboratories (1985-1996), in Novartis and Syngenta Crop Protection Research (1997-2020). I have followed the chronological order of these research activities covering only published data.

Asunto(s)

RESUMEN

In their commentaries, Berger (2024) and Carrillo et al. (2024) raise several thoughtful questions regarding machine-assisted hypothesis generation in the social sciences. We discuss their ideas and build upon them. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Asunto(s)

RESUMEN

Background: This article aims to study the research outcomes of five Nordic countries in terms of research publications, spend on R&D, outcomes and collaborations as these are important parameters to understand research thrust of the countries/regions, in addition to their innovation capability. Methods: The research outcomes of the Nordic countries in terms of the total number of publications, coauthored publications, publications with corporate collaborators, citations, the Field Weighted Citation Index (FWCI) and publications in different subject areas were retrieved using Scopus and its associate SciVal. The research outcomes were extracted for five years from 2016-2020. In addition, total population, researcher population and research spend of these countries have been obtained from World Bank data available for the year 2021. Results: The analysis showed that Sweden has the highest population and the highest number of researchers in this region. All countries have the highest number of coauthored publications with the United States, followed by the United Kingdom, except Iceland, which has the second highest number of coauthored publications with Sweden. Denmark, followed by Iceland, stands prominent with reference to having publications with corporate collaborations. Denmark and Sweden have a high percentage of articles in first quartile journals, which is above the average for Nordic countries. Iceland stands at the top with the highest citations, which is depicted by high FWCI. Across subject areas, the Nordic countries have maximum publications in life sciences. Other prominent subject areas include technology and natural sciences. Conclusion: On analysing the research landscape of Nordic countries, maximum research output is in the field of life sciences and medicine, and most of the coauthored publications of these countries are with the United States. Denmark, with its exemplary research output, excels with maximum papers in top quartile journals and with maximum corporate collaborations and the highest FWCI.

Asunto(s)

RESUMEN

We use data from 30 countries and find that the more women in a discipline, the lower quality the research in that discipline is evaluated to be and the lower the funding success rate is. This affects men and women, and is robust to age, number of research outputs, and bibliometric measures where such data are available. Our work builds on others' findings that women's work is valued less, regardless of who performs that work.

There have been growing concerns around sexism in science. Studies have found that women in science are often paid less, are less likely to get credit for their work and receive fewer and smaller grants than men at similar stages in their careers. This can make it harder for women to advance in their careers, resulting in less women than men taking up positions of leadership. There are also gender imbalances between scientific disciplines, with a higher proportion of women working in some fields compared to others. Here, James et al. set out to find whether having more women working in a discipline leads to biases in how the research is evaluated. The team examined four datasets which included information on the research evaluations and funding success of thousands of researchers across 30 different countries. The analysis suggested that scientists working in women-dominated disciplines were less likely to succeed in their grant applications. Their research was also often evaluated as being lower quality compared to researchers working in fields dominated by men. These biases applied to both men and women working in these disciplines. There were not sufficient data to analyse patterns faced by non-binary individuals. The study by James et al. cannot pinpoint a specific cause for these outcomes. However, it suggests that funding organisations should analyse the pattern of successful applications across disciplines and consider taking steps to ensure all disciplines have similar success rates. James et al. also propose that when hiring or making promotions, scientific institutions should take care when comparing researchers across disciplines and ensure there is no built-in assumption that fields dominated by men are intrinsically better.

Asunto(s)

Asunto(s)

RESUMEN

This paper studies the adverse effect of air pollution on corporate research and development (R&D) and how sustainable development moderates this negative impact in emerging market economies (EMEs). Using a sample of 18 EMEs' firm-level data, the empirical results show that firms substantially reduce R&D expenses in the face of increasing air pollution, and this adverse effect becomes less pronounced with higher levels of sustainable development. Our analyses suggest that air pollution negatively affects R&D by increasing firms' difficulties in hiring highly skilled people or raising operation and production costs. Furthermore, we divide our sample firms into two groups according to some institutional quality factors related to sustainable development. The negative impact of air pollution on R&D is lower in countries with higher levels of institutional quality. Based on our research, to attract more R&D investment, EMEs should not only make an effort to manage air pollution but also invest more in human capital and improve their institutional quality to amplify the impact of their efforts.

Asunto(s)

RESUMEN

Research on mathematical cognition, learning, and instruction (MCLI) often takes cognition as its point of departure and considers instruction at a later point in the research cycle. In this article, we call for psychologists who study MCLI to reflect on the "status quo" of their research practices and to consider making instruction an earlier and more central aspect of their work. We encourage scholars of MCLI (a) to consider the needs of educators and schools when selecting research questions and developing interventions; (b) to compose research teams that are diverse in the personal, disciplinary, and occupational backgrounds of team members; (c) to make efforts to broaden participation in research and to conduct research in authentic settings; and (d) to communicate research in ways that are accessible to practitioners and to the general public. We argue that a more central consideration of instruction will lead to shifts that make research on MCLI more theoretically valuable, more actionable for educators, and more relevant to pressing societal challenges.

Asunto(s)

RESUMEN

This paper presents an examination of the relationship between international operations and corporate R&D investment. Using a large sample of Chinese listed firms for the 2009-2022 period and the ordinary least squares method, we find that international operations have a positive effect on corporate R&D investment. The finding remains valid after a battery of robustness tests. Mechanism tests show that international operations increase corporate R&D investment by diversifying product demand instead of increasing firms' international knowledge acquisition. This paper provides new evidence on the role of international operations in innovation activities.

Asunto(s)

RESUMEN

INTRODUCTION: Addressing systemic bias in medical school assessment is an urgent task for medical education. This paper outlines recommendations on topic areas for further research on systemic bias, developed from a workshop discussion at the 2023 annual meeting of the Society of Directors of Research in Medical Education. MATERIALS AND METHODS: During the workshop, directors engaged in small-group discussions on guidelines to address bias in assessment practices following a proposed categorization of 'Do's,' 'Don'ts,' and 'Don't knows' and listed their insights using anonymous sticky notes, which were shared and discussed with the larger group of participants. The authors performed a content analysis of the notes through deductive and inductive coding. We reviewed and discussed our analysis to reach consensus. RESULTS: The workshop included 31 participants from 28 institutions across the US and Canada, generating 51 unique notes. Participants identified 23 research areas in need of further study. The inductive analysis of proposed research areas revealed four main topics: 1) The role of interventions, including pre-medical academic interventions, medical-education interventions, assessment approaches, and wellness interventions; 2) Professional development, including the definition and assessment of professionalism and professional identity formation; 3) Context, including patient care and systemic influences; and 4) Research approaches. DISCUSSION: While limited to data from a single workshop, the results offered perspectives about areas for further research shared by a group of directors of medical education research units from diverse backgrounds. The workshop produced valuable insights into the need for more evidence-based interventions that promote more equitable assessment practices grounded in real-world situations and that attenuate the effects of bias.

Asunto(s)

Asunto(s)

RESUMEN

'Research capacity strengthening' (RCS) is an umbrella term that can be used to describe a wide variety of activities conducted in support of diverse objectives premised upon distinct, potentially opposing, views. Despite this, the ultimate objective of RCS activities is rarely made explicit which can be problematic when diverse objectives are possible. By 'ultimate' objective we are referring to the overarching (often long-term) goal an RCS initiative is intended to contribute towards (e.g. better population health) as opposed to the more immediate 'proximate' (often short-term) objectives of any such activity (e.g. improved capacity to undertake infectious disease research). We argue a need for those funding, designing and implementing RCS initiatives to make clear statements as to the ultimate objective that they foresee their respective initiative contributing towards as well as the proposed pathway and associated assumptions that underlie their approach. Examples of distinct ultimate objectives for RCS initiatives are presented alongside fictitious examples of how they may be transparently reported from both a funder and implementor perspective. Such transparency should be routine within the scope of funding calls for RCS activities (even when such activities are only a minor component of the call), subsequent applications to those calls and any description of an applied RCS activity/ies and/or the associated outcomes thereof. The process of determining one's ultimate objective will further cause funders and actors to think through their respective initiatives more thoroughly and make informed choices and better designed RCS projects. Doing so would reduce any ambiguity associated with the use of the term 'research capacity strengthening' and would provide a stronger foundation for robust programme evaluation.

Asunto(s)

RESUMEN

INTRODUCTION: Health research bodies recommend patient involvement and engagement in research and healthcare planning, although their implementation is not yet widespread. This deficiency extends to progressive pulmonary fibrosis (PPF), where crucial aspects remain unknown, including causal mechanisms, curative treatments and optimal symptom management. This study addresses these gaps by seeking stakeholders' perspectives to guide research and treatment directions. METHOD: A priority-setting partnership was established to explore stakeholders' priorities in the diagnosis, treatment, management and care of PPF, including idiopathic pulmonary fibrosis which is the archetypal PPF. Stakeholders included people living with PPF, their carers, relatives and healthcare professionals involved in their management. RESULTS: Through an online open-ended survey, 2542 responses were collected from 638 stakeholders. Thematic analysis identified 48 specific research questions, which were then cross-referenced with academic literature to pinpoint research gaps. Following the evidence check, 44 unanswered questions were shortlisted by 834 stakeholders in a second online survey. Ultimately, a top 10 priority list was established through consensus.The prioritised research questions include (1) improved diagnosis accuracy and timing, (2) development of new treatments, (3) enhanced accuracy in primary care, (4) optimal timing for drug and non-drug interventions, (5) effective cough treatment, (6) early intervention for PPF, (7) improved survival rates, (8) symptom reduction, (9) impact of interventions on life expectancy and (10) new treatments with reduced side effects. CONCLUSION: Stakeholders' priorities can be summarised into five areas: early diagnosis, drug and non-drug treatments, survival and symptom management. Ideally, these topics should guide funding bodies and health policies.

Asunto(s)

Asunto(s)

RESUMEN

Structural racism has been identified as a fundamental cause of health disparities. For example, racial, ethnic, and economic neighborhood segregation; concentrated poverty; community disinvestment; and sociocultural context influence obesity and cancer disparities. Effects of structural racism are also evident through neighborhood obesogenic conditions such as limited access to affordable and healthy foods and physical activity opportunities within segregated communities that contribute to obesity and obesity-related cancer disparities. This article describes and expands on cross-cutting themes raised during a webinar held by the National Cancer Institute (NCI): (1) how structural factors, including neighborhood segregation and obesogenic conditions within racial and ethnic disadvantaged communities, influence disparities in the United States; (2) current research challenges and best ways to address them; and (3) selected priorities of the NCI aimed at addressing multilevel and intersecting factors that influence obesity-related cancer disparities. Further research is needed to understand how residential segregation and neighborhood obesogenic conditions influence cancer prevention and control across the continuum. Identifying the best approaches to address obesity and cancer disparities using social determinants of health framework and community-engaged approaches guided by a structural racism lens will allow researchers to move beyond individual-level approaches.

Asunto(s)

Asunto(s)

RESUMEN

Advancing equity and justice in undergraduate biology education requires research to address the experiences of disabled students. Scholars working in disability studies have developed models of disability that inform Discipline-Based Education Research (DBER). To date, DBER literature has been predominantly informed by the medical and social models of disability. The medical model focuses on challenges that affect people with disabilities on an individual basis, while the social model focuses on how one's surrounding environment contributes to the construction of disability. In this essay, we discuss past DBER research and opportunities for future research using each of these models. We will also discuss a third, less commonly used model that offers exciting opportunities to drive future research: complex embodiment. Complex embodiment positions disability as a social location that reflects a greater societal value structure. Further examining this value structure reveals how ability itself is constructed and conventionally understood to be hierarchical. Additionally, we explain epistemic injustice as it affects disabled people, and how future education research can both address and counteract this injustice. We discuss how expanding the frameworks that serve as lenses for DBER scholarship on disability will offer new research directions.

Asunto(s)

RESUMEN

OBJECTIVE: To identify and disseminate research priorities for the headache field that should be areas of research focus during the next 10 years. BACKGROUND: Establishing research priorities helps focus and synergize the work of headache investigators, allowing them to reach the most important research goals more efficiently and completely. METHODS: The Headache Research Priorities organizing and executive committees and working group chairs led a multistakeholder and international group of experts to develop headache research priorities. The research priorities were developed and reviewed by clinicians, scientists, people with headache, representatives from headache organizations, health-care industry representatives, and the public. Priorities were revised and finalized after receiving feedback from members of the research priorities working groups and after a public comment period. RESULTS: Twenty-five research priorities across eight categories were identified: human models, animal models, pathophysiology, diagnosis and management, treatment, inequities and disparities, research workforce development, and quality of life. The priorities address research models and methods, development and optimization of outcome measures and endpoints, pain and non-pain symptoms of primary and secondary headaches, investigations into mechanisms underlying headache attacks and chronification of headache disorders, treatment optimization, research workforce recruitment, development, expansion, and support, and inequities and disparities in the headache field. The priorities are focused enough that they help to guide headache research and broad enough that they are widely applicable to multiple headache types and various research methods. CONCLUSIONS: These research priorities serve as guidance for headache investigators when planning their research studies and as benchmarks by which the headache field can measure its progress over time. These priorities will need updating as research goals are met and new priorities arise.

Asunto(s)

RESUMEN

BACKGROUND: Cancer is a major public health challenge globally. However, little is known about the evolution patterns of cancer research communities and the influencing factors of their research capacity and impact, which is affected not only by the social networks established through research collaboration but also by the knowledge networks in which the research projects are embedded. METHODS: The focus of this study was narrowed to a specific topic - 'synthetic lethality' - in cancer research. This field has seen vibrant growth and multidisciplinary collaboration in the past decade. Multi-level collaboration and knowledge networks were established and analysed on the basis of bibliometric data from 'synthetic lethality'-related cancer research papers. Negative binomial regression analysis was further applied to explore how node attributes within these networks, along with other potential factors, affected paper citations, which are widely accepted as proxies for assessing research capacity and impact. RESULTS: Our study revealed that the synthetic lethality-based cancer research field is characterized by a knowledge network with high integration, alongside a collaboration network exhibiting some clustering. We found significant correlations between certain factors and citation counts. Specifically, a leading status within the nation-level international collaboration network and industry involvement were both found to be significantly related to higher citations. In the individual-level collaboration networks, lead authors' degree centrality has an inverted U-shaped relationship with citations, while their structural holes exhibit a positive and significant effect. Within the knowledge network, however, only measures of structural holes have a positive and significant effect on the number of citations. CONCLUSIONS: To enhance cancer research capacity and impact, non-leading countries should take measures to enhance their international collaboration status. For early career researchers, increasing the number of collaborators seems to be more effective. University-industry cooperation should also be encouraged, enhancing the integration of human resources, technology, funding, research platforms and medical resources. Insights gained through this study also provide recommendations to researchers or administrators in designing future research directions from a knowledge network perspective. Focusing on unique issues especially interdisciplinary fields will improve output and influence their research work.

Asunto(s)

RESUMEN

This study examines the role of intellectual property protection (IPP) in enhancing radical technological innovation (RTI) within national research project teams, using an innovation-driven theory and an ability-motivation-opportunity (AMO) perspective. This study utilizes a sample of 336 national research project team members from various Chinese universities, research institutes, and corporations to analyze the theoretical model. Additionally, a two-stage hybrid partial least squares structural equation modeling (PLS-SEM) approach, combined with artificial neural network techniques (ANN), is employed to evaluate the hypotheses. The empirical findings of this study reveal a positive association between the intensity of IPP and RTI within national research project teams. Research and development investment intensity (R&DII) is identified as the primary predictor, while integrated leadership (IL) and group potential (GP) play crucial moderating roles. These groundbreaking findings extend the scope of innovation-driven and AMO theories, providing a proactive model for national research project teams to propose improvements to the IPP system, ultimately enhancing the realization of RTI.

Asunto(s)