Current Science and the Black Hole Connection

In this chapter, an attempt is made to provide a condensed overview of the alarming state of the art of current scientific endeavor, as it is revealed in an international spectrum of critical reports but often is not openly discussed in the scientific community. These calamities include the lack of a basic analysis of the current scientific world itself, by which major influences of corrupt science policies and the power of traditional views remain in the dark. In addition, there is a worrying increase in technology-induced information dependence. We are facing an information wave of such magnitude that in order to survive we need to learn to ride it in a proper way by realizing our bio-cosmological connections and interconnectedness. The current problems in science, as observed by the present author and extensively put forward by leading scientists all over the world, are listed, and a set of potential solutions is tentatively offered.

Scholar Entangled: The Unattainable Detachment in Social Inquiry

The practice of social studies continues to be a complicated scientific endeavor. From an epistemological point of view, the social sciences, unlike the natural sciences, do not conform to the predominant definition of science. The existing differences among expositions of “science,” “inquiry,” and “studies” lie with the contested role of the intellectual who is embarked on understanding the social realm. The “maturity” of the social sciences is usually discussed in the context of objectivity and rationality. But continuing epistemological debates would be insufficient without reference to the scholar as a human studying humans. The philosophy of science has focused mainly on the procedures of knowledge accumulation, neglecting social context and its implications for inquiry. To address this neglect, this essay sets out first to retrace doubts about the role of the scholar that emerged with the institutionalization of the social sciences at the outset of the twentieth century and then to rethink these issues in terms of recent scientific developments. What surfaces is a new, participatory role for scholars that demands responsible contextualization and a broader conception of causal stories.

The Importance of Age in the Prediction of Mortality by a Frailty Index: A Machine Learning Approach in the Irish Longitudinal Study on Ageing

The quantification of biological age in humans is an important scientific endeavor in the face of ageing populations. The frailty index (FI) methodology is based on the accumulation of health deficits and captures variations in health status within individuals of the same age. The aims of this study were to assess whether the addition of age to an FI improves its mortality prediction and whether the associations of the individual FI items differ in strength. We utilized data from The Irish Longitudinal Study on Ageing to conduct, by sex, machine learning analyses of the ability of a 32-item FI to predict 8-year mortality in 8174 wave 1 participants aged 50 or more years. By wave 5, 559 men and 492 women had died. In the absence of age, the FI was an acceptable predictor of mortality with AUCs of 0.7. When age was included, AUCs improved to 0.8 in men and 0.9 in women. After age, deficits related to physical function and self-rated health tended to have higher importance scores. Not all FI variables seemed equally relevant to predict mortality, and age was by far the most relevant feature. Chronological age should remain an important consideration when interpreting the prognostic significance of an FI.

The Rapid Rise of Next-Generation Natural History

Many ecologists have lamented the demise of natural history and have attributed this decline to a misguided view that natural history is outdated and unscientific. Although there is a perception that the focus in ecology and conservation have shifted away from descriptive natural history research and training toward hypothetico-deductive research, we argue that natural history has entered a new phase that we call “next-generation natural history.” This renaissance of natural history is characterized by technological and statistical advances that aid in collecting detailed observations systematically over broad spatial and temporal extents. The technological advances that have increased exponentially in the last decade include electronic sensors such as camera-traps and acoustic recorders, aircraft- and satellite-based remote sensing, animal-borne biologgers, genetics and genomics methods, and community science programs. Advances in statistics and computation have aided in analyzing a growing quantity of observations to reveal patterns in nature. These robust next-generation natural history datasets have transformed the anecdotal perception of natural history observations into systematically collected observations that collectively constitute the foundation for hypothetico-deductive research and can be leveraged and applied to conservation and management. These advances are encouraging scientists to conduct and embrace detailed descriptions of nature that remain a critically important component of the scientific endeavor. Finally, these next-generation natural history observations are engaging scientists and non-scientists alike with new documentations of the wonders of nature. Thus, we celebrate next-generation natural history for encouraging people to experience nature directly.

Fundamentals of Hermeneutics as A Qualitative Research Theoretical Framework

This article is written to inspire researchers to use hermeneutics as a qualitative research theoretical framework. Given the extensive scope inherent to this subject matter, it was decided to delimit the discussion to the fundamental information one may seek to know about hermeneutics. Though introductory in nature, it is still hoped that the readers may be able to gain meaningful insights which may serve as a catalyst for understanding this topic. The article has four phases. Phase one traces its historical dimension and presents its varied definitions. Phase two is focused on the four philosophical orientations. Phase three enumerates its contributors and their respective contributions. Phase four elaborates the steps researchers need to undertake when using this framework. This article may be of interest to all academics especially the neophytes who are interested in utilizing hermeneutics either as a method or methodology of a philosophical cum scientific endeavor being undertaken.

Science evaluation – As it is, as it could be

In this short commentary, I discuss Olof Hallonsten’s argument against science evaluation. My invitation is to place the discussion in a wider frame that takes into account the many challenges scientists and scientific institutions face today. I argue in favor of a ‘start from the middle’ approach that gives emphasis to the inner principle of valorization of the scientific endeavor.

Two levels of meaning elaboration in psychological research

Arocha (2021) discusses the “replication crisis,” arguing for models that allow a greater complexity in the relationship between variables and processes. In this comment, we identify a more fundamental issue: the impossibility of eliminating interpretation issues with operational definitions and increased rigor in the measurements of variables and processes. Interpretation is at the core of (a) human action and (b) scientific endeavor. First, considering Vygotsky, we argue that all higher mental processes are sign mediated, influencing psychological research with humans. Second, that the understanding of research results also involves sign mediation and, therefore, it is nonneutral. We suggest two alternative approaches. There needs to be an increase in research that delivers a detailed description of psychological phenomena. Additionally, it is necessary to increase the elucidation of contextual-embeddedness research. Taking into account the two levels of meaning will underline psychology as a scientific discipline of complex phenomena.

Dogs as pets and pests: Global patterns of canine abundance, activity, and health

Dogs (Canis familiaris) were the first domesticated species and, at an estimated population of 1 billion individuals, are globally ubiquitous today. Describing the tremendous morphometric diversity and evolutionary origins of dogs is a scientific endeavor that predates Darwin, yet our interdisciplinary understanding of the species is just beginning. Here, I present global trends in dog abundance, activity, and health. While the human-dog relationship has for millennia been close, it is also complicated. As pets, companion dogs are often treated as family members and constitute the largest sector of the evergrowing >$200 billion USD global pet care industry. As pests, free-roaming dogs are an emerging threat to native species via both predation and non-consumptive effects (e.g., disturbance, competition for resources, hybridization). Furthermore, I briefly discuss mounting evidence of dogs as not only infectious disease reservoirs but also as bridges for the transmission of pathogens between wild animals and humans in zoonotic spillover events, triggering intensive dog population management strategies such as culling. Dog mobility across the urban-wildland interface is an important driver for this and other adverse effects of canines on wildlife populations and is an active topic of disease ecologists and conservation biologists. Other canine scientists, including veterinary clinicians and physiologists, study more mechanistic aspects of dog mobility: the comparative kinetics, kinematics, and energetics of dog locomotor health. I outline the prevalent methodological approaches and breed-specific findings within dog activity and health research, then conclude by recognizing promising technologies that are bridging disciplinary gaps in canine science.

SARS-CoV-2 Infection Challenge Experiments in Nonhuman Primates: An Ethical Perspective

The COVID-19 pandemic has stimulated massive investment in biomedical research with the aims of understanding the disease and developing effective vaccine and therapeutic interventions. What role should animal research play in this scientific endeavor? Both the urgency to evaluate candidate interventions for human use and growing societal concern about ethical treatment of (nonhuman) animals put into question the justifiability of animal research as a precursor to clinical trials. Yet forgoing animal research in the rush to undertake human testing might expose human research participants to unacceptable risks. In this article, we apply a recently developed framework of principles for animal research ethics in exploring ethical questions raised by a SARS-CoV-2 infection challenge experiment involving rhesus macaques, which evaluated the protective efficacy of the mRNA-1273 vaccine that was recently approved for emergency use. Our aim is to illuminate the ethical issues while introducing, and illustrating the use of, the framework.