Crowdsourced 'R&D' and medical research

The ethical aspects of exposome research: a systematic review

In recent years, exposome research has been put forward as the next frontier for the study of human health and disease. Exposome research entails the analysis of the totality of environmental exposures and their corresponding biological responses within the human body. Increasingly, this is operationalized by big-data approaches to map the effects of internal as well as external exposures using smart sensors and multiomics technologies. However, the ethical implications of exposome research are still only rarely discussed in the literature. Therefore, we conducted a systematic review of the academic literature regarding both the exposome and underlying research fields and approaches, to map the ethical aspects that are relevant to exposome research. We identify five ethical themes that are prominent in ethics discussions: the goals of exposome research, its standards, its tools, how it relates to study participants, and the consequences of its products. Furthermore, we provide a number of general principles for how future ethics research can best make use of our comprehensive overview of the ethical aspects of exposome research. Lastly, we highlight three aspects of exposome research that are most in need of ethical reflection: the actionability of its findings, the epidemiological or clinical norms applicable to exposome research, and the meaning and action-implications of bias.

The concept of an e-platform cooperation model in the field of 3D printing during the COVID-19 pandemic

The COVID-19 pandemic has caused unprecedented public health and economic crises around the world. The protection of human health and life has become the most important challenge. Disrupted supply chains resulted in shortages in the supply of essential medical equipment and personal protective equipment. The quick response to this situation was the use of 3D printers for the production of this type of article, especially for the medical service. The initial experience presented in this article (the review of solutions and initiatives based on cooperation in the field of 3D printing during the first wave of the pandemic) showed the challenges faced by organizations engaged in 3D printing during the pandemic. The performed identification and compilation of the difficulties that occurred during cooperation in crisis conditions allowed the author of this article to present an original proposal to minimize the most important of these problems. The main purpose of the article is to present the concept of a cooperation model based on an internet platform in the field of 3D printing during the COVID-19 pandemic, which will allow to increase the efficiency of management of activities necessary in crisis conditions.

How can crowdsourcing help tackle the COVID‐19 pandemic? An explorative overview of innovative collaborative practices

The COVID‐19 pandemic has caused unprecedented public health and economic crises. As a response to face the current emergency, science and innovation communities are realizing a fundamental contribution to tackle the crisis. During the past few months, we have witnessed an impressive number of initiatives to encourage networking opportunities, to foster interactions between the different stakeholders involved (health care, industry, governments, academics, ordinary people), and to develop innovative solutions and collaborative infrastructures in support of the health sector. Adopting an open and collaborative approach and joining forces is essential in the fight against the COVID‐19 crisis. Also, the involvement of crowds as innovation partners can be of great support. Therefore, our work aims to review and classify those initiatives, based on the crowdsourcing model, that have been put into place to face the emergency generated by the novel coronavirus pandemic. We illustrate the 16 crowdsourcing initiatives devoted to the SARS‐CoV‐2 outbreak that we identified, detailing their development and implementation. Then, we propose a classification of them, along two dimensions: type of crowdsourcing configuration and kind of tasks, being able to find a relationship between these two aspects. Evidence from the analyzed projects suggests that across disparate domains, crowdsourcing can be an effective strategy in the response to the COVID‐19 pandemic. To conclude, we suggest some important implications for innovation best practices and lessons that can be learned for the future: crowdsourcing, harnessing the power of crowds and online communities, can help tackle the COVID‐19 pandemic, by providing original, actionable, quick, and low‐cost solutions to the challenges of the current health and economic crisis.

Entrepreneurial orientation, technological propensity and academic research productivity

To what extent are academics entrepreneurial, and to what extent does an entrepreneurial orientation contribute to higher research productivity in higher education? According to some schools of thought, academic research is conducted within 'paradigms' or circumscribed areas of study, with the implication that certain research might not be inherently innovative. This research sought to investigate the extent to which individuals with higher self-reported levels of entrepreneurial orientation (EO), as well as the propensity to apply novel technological methods (such as crowdfunding and crowdsourced R&D) in their research, have higher levels of research productivity. Applying a comprehensive purposive sampling process, a large South African university was sampled. A total of 292 usable responses were obtained, and these were analysed using ordinary least squares. In order to test the robustness of results, two further tests were applied, namely bootstrapping and negative binomial regression analysis. Findings suggest that individuals with higher endowments of entrepreneurial orientation may be more research productive. Interestingly, innovativeness is not found to be significantly related to academic research productivity. It is concluded that further synthesis between educational and entrepreneurship theory might offer useful insights for the improvement of societally important research productivity. It is also concluded, however, that novel technological methods such as crowdfunding may be underutilised in the academic context. Given the resource constraints faced by those in higher education, particularly in the developing-country context of this study, this underutilisation may point to important opportunities in the sector.

Exploring the characteristics of crowdsourcing: An online observational study

This article examines the application of crowdsourcing in research studies. The aim of this study is to understand how crowdsourcing is being used in research by undertaking a content analysis of studies posted to an online site designed to facilitate crowdsourced research. While there are a number of websites that facilitate crowdsourcing, this study provides an analysis only of research studies posted on crowdcrafting.org . Characteristics of crowdsourcing, proposed by Estellés-Arolas and González-Ladrón-de-Guevara, served as the framework for the content analysis, and research projects were evaluated as to how they addressed each of the proposed criteria. This article concludes with recommendations for researchers undertaking the design and implementation of projects employing crowdsourcing.

Developing the Transdisciplinary Aging Research Agenda: New Developments in Big Data

BACKGROUND

Advances in big data analytics can enable more effective and efficient research processes, with important implications for aging research. Translating these new potentialities to research outcomes, however, remains a challenge, as exponentially increasing big data availability is yet to translate into a commensurate era of 'big knowledge,' or exponential increases in biomedical breakthroughs. Some argue that big data analytics heralds a new era associated with the 'end of theory.' According to this perspective, correlation supersedes causation, and science will ultimately advance without theory and hypotheses testing. On the other hand, others argue that theory cannot be subordinate to data, no matter how comprehensive data coverage may ultimately become.

OBJECTIVE

Given these two tensions, namely (i) between exponential increases in data that have not translated into exponential increases in biomedical research outputs; and (ii) between the promise of comprehensive data coverage and inductive data-driven modes of enquiry versus theory-driven deductive modes, this critical review seeks to offer useful perspectives of big data analytics and to derive certain theoretical implications for aging research.

METHOD

This work offers a critical review of theory and literature relating big data to aging research.

RESULT

The rise of big data provides important insights into the theory development process itself, highlighting potential for holistic theoretical assemblage to ultimately enable near real time research capability.

CONCLUSION

Big data may represent a new paradigm of aging research that can dramatically increase the rate of scientific breakthroughs, but innovative theory development remains key to this potential.

Contemporary HIV/AIDS research: Insights from knowledge management theory

Knowledge management as a field is concerned with the management of knowledge, including the management of knowledge in research processes. Knowledge management theory has the potential to support research into problems such as HIV, antibiotic resistance and others, particularly in terms of aspects of scientific research related to the contribution of social science. To date, however, these challenges remain with us, and theoretical contributions that can complement natural science efforts to eradicate these problems are needed. This paper seeks to offer a theoretical contribution grounded in Kuhn's paradigm theory of innovation, and in the argument by Lakatos that scientific research can be fundamentally non-innovative, which suggests that social science aspects of knowledge creation may hold the key to more effective biomedical innovation. Given the consequences of ongoing and emerging global crises, and the failure of knowledge systems of scientific research to solve such problems outright, this paper provides a review of theory and literature arguing for a new paradigm in scientific research, based on the development of global systems to maximise research collaborations. A global systems approach effectively includes social science theory development as an important complement to the natural sciences research process. Arguably, information technology and social media technology have developed to the point at which solutions to knowledge aggregation challenges can enable solutions to knowledge problems on a scale hitherto unimaginable. Expert and non-expert crowdsourced inputs can enable problem-solving through exponentially increasing problem-solving inputs, using the 'crowd,' thereby increasing collaborations dramatically. It is argued that these developments herald a new era of participatory research, or a democratisation of research, which offers new hope for solving global social problems. This paper seeks to contribute to this end, and to the recognition of the important role of social theory in the scientific research process.

Disaster management, crowdsourced R&D and probabilistic innovation theory: Toward real time disaster response capability

General agreement exists effective disaster management faces constraints related to knowledge sharing and a need for real-time research responses. Extreme case examples of disasters especially vulnerable to these challenges are global pandemics, or disease outbreaks, in which data required for research response are only available after the start of an outbreak. This paper argues the developing field of probabilistic innovation (innovation increasing probability of solving societal problems through radically increasing coordination of volumes of problem-solving inputs and analysis), and its methodologies, such as those drawing from crowdsourced R&D and social media, may offer useful insights into enabling real time research capabilities, with important implications for disaster and crisis management. Three paradigms of disaster research are differentiated, as literature is related to theory offered by post normal science, Kuhnian 'normal science' and Lakatosian 'structural science,' and the goal of achieving real time research problem solving capacity in disaster crisis situations. Global collaborative innovation platforms and large-scale investments in emerging crowdsourced R&D and social media technologies together with synthesis of appropriate theory may contribute to improved real time disaster response and resilience across contexts, particularly in instances where data required to manage response is only available after disasters unfold.

Public Health Platforms: An Emerging Informatics Approach to Health Professional Learning and Development

Health informatics has a major role to play in optimising the management and use of data, information and knowledge in health systems. As health systems undergo digital transformation, it is important to consider informatics approaches not only to curriculum content but also to the design of learning environments and learning activities for health professional learning and development. An example of such an informatics approach is the use of large-scale, integrated public health platforms on the Internet as part of health professional learning and development. This article describes selected examples of such platforms, with a focus on how they may influence the direction of health professional learning and development.

The Power of Engaging Citizen Scientists for Scientific Progress

Citizen science has become a powerful force for scientific inquiry, providing researchers with access to a vast array of data points while connecting nonscientists to the authentic process of science. This citizen-researcher relationship creates an incredible synergy, allowing for the creation, execution, and analysis of research projects that would otherwise prove impossible in traditional research settings, namely due to the scope of needed human or financial resources (or both). However, citizen-science projects are not without their challenges. For instance, as projects are scaled up, there is concern regarding the rigor and usability of data collected by citizens who are not formally trained in research science. While these concerns are legitimate, we have seen examples of highly successful citizen-science projects from multiple scientific disciplines that have enhanced our collective understanding of science, such as how RNA molecules fold or determining the microbial metagenomic snapshot of an entire public transportation system. These and other emerging citizen-science projects show how improved protocols for reliable, large-scale science can realize both an improvement of scientific understanding for the general public and novel views of the world around us.