Dual use in the 21st century: emerging risks and global governance

Limiting open science? Three approaches to bottom-up governance of dual-use research of concern

Governing dual-use research of concern (DURC) in the life sciences has become difficult owing to the diversification of scientific domains, digitalization of potential threats, and the proliferation of actors. This paper proposes three approaches to realize bottom-up governance of DURC from laboratory operation to institutional decision-making levels. First, a technological approach can predict and monitor the dual-use nature of the research target pathogens and their information. Second, an interactive approach is proposed in which diverse stakeholders proactively discuss and examine dual-use issues through research practice. Third, a personnel approach can identify the right persons involved in DURC. These approaches suggest that, going beyond self-governance by researchers, collaborative and networked governance involving diverse actors should become essential. This mode of governance can also be seen in light of the management of research use. Therefore, program design by funding agencies and publication screening by journal publishers continuously contribute to governance at the meso-level. Bottom-up governance may be realized by using an appropriately integrated design of these three approaches at the micro-level, such as dual-use prediction and monitoring, stakeholder dialogue, and background checks. Given that the term 'open science' has been promoted to the research community as part of top-down governance, paying due attention on site to research subjects, research practices, and persons involved in research will provide an opportunity to develop a more socially conscious open science.

Ethics review of big data research: What should stay and what should be reformed?

BACKGROUND

Ethics review is the process of assessing the ethics of research involving humans. The Ethics Review Committee (ERC) is the key oversight mechanism designated to ensure ethics review. Whether or not this governance mechanism is still fit for purpose in the data-driven research context remains a debated issue among research ethics experts.

MAIN TEXT

In this article, we seek to address this issue in a twofold manner. First, we review the strengths and weaknesses of ERCs in ensuring ethical oversight. Second, we map these strengths and weaknesses onto specific challenges raised by big data research. We distinguish two categories of potential weakness. The first category concerns persistent weaknesses, i.e., those which are not specific to big data research, but may be exacerbated by it. The second category concerns novel weaknesses, i.e., those which are created by and inherent to big data projects. Within this second category, we further distinguish between purview weaknesses related to the ERC's scope (e.g., how big data projects may evade ERC review) and functional weaknesses, related to the ERC's way of operating. Based on this analysis, we propose reforms aimed at improving the oversight capacity of ERCs in the era of big data science.

CONCLUSIONS

We believe the oversight mechanism could benefit from these reforms because they will help to overcome data-intensive research challenges and consequently benefit research at large.