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Engineering synthetic cells from the bottom up is expected to revolutionize biotechnology. How can synthetic cells support societal transitions necessary to tackle our current global challenges in a socially equitable and sustainable manner? To answer this question, we need to assess socioeconomic considerations and engage in early constructive public dialogue.

Engineering synthetic cells from the bottom up is expected to revolutionize biotechnology. How can synthetic cells support societal transitions necessary to tackle our current global challenges in a socially equitable and sustainable manner? To answer this question, we need to assess socioeconomic considerations and engage in early constructive public dialogue.

Engineering synthetic cells from the bottom up is expected to revolutionize biotechnology. How can synthetic cells support societal transitions necessary to tackle our current global challenges in a socially equitable and sustainable manner? To answer this question, we need to assess socioeconomic considerations and engage in early constructive public dialogue.

AbstractPrecision Medicine is driven by the idea that the rapidly increasing range of relatively cheap and efficient self-tracking devices make it feasible to collect multiple kinds of phenotypic data. Advocates ofN = 1 research emphasize the countless opportunities personal data provide for optimizing individual health. At the same time, using biomarker data for lifestyle interventions has shown to entail complex challenges. In this paper, we argue that researchers in the field of precision medicine need to address the performative dimension of collecting data. We propose the fun-house mirror as a metaphor for the use of personal health data; each health data source yields a particular type of image that can be regarded as a 'data mirror' that is by definition specific and skewed. This requires competence on the part of individuals to adequately interpret the images thus provided.

Our article aims to provide a comprehensive portrayal of how seven Asian jurisdictions have sought to address the challenge of genetic discrimination (GD) by presenting an analysis of the relevant legislation, policies, and practices. Based on our findings, policy discussion and action on preventing or mitigating GD have been narrowly framed in terms of employment, insurance, disability, marriage, and family planning. Except for South Korea, none of the jurisdictions we examined has adopted specific legislation to prevent GD. However, for Asia to truly benefit from its recent scientific and technological progress in genomics, we highlight the need for these jurisdictions to engage more proactively with the challenges of GD through a coordinated regulatory and governance mechanism.

This report presents findings to address the objectives of RRING Work Package 3 by providing an overview on the state of the art of RRI in the five UNESCO world regions. The overall project aim is to bring RRI into the linked up global world to promote mutual learning and collaboration in RRI. This will be achieved by the formation of the global RRING community network and by the development and mobilisation of a global Open Access RRI knowledge base. RRING will align RRI to the Sustainable Development Goals (SDGs) as a global common denominator. The RRING project acknowledges that each region of the world is advancing its own agenda on RRI. Therefore, RRING will not be producing a Global RRI framework or strategy that is meant to be enforced in a top-down manner. Rather, increased coherence and convergence will be achieved via a bottom-up approach, learning from best practices in RRI globally and from linkages, via the new RRING community, to develop the RRI linked-up world. ACKNOWLEDGEMENTS The work described in this publication has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 788503. The contributing authors would also like to thank other partners for their contribution throughout the development of this deliverable. Professor Alexander Gerber (HSRW) and Dr Gordon Dalton (UCC) for their advice and support, Emmet Fox and Rihab Khalid (ARU) for assistance in writing of the global interview research report sections, Monica Racovita for development of interview protocols, guidance materials and planning, and everyone leading on country-specific interview data collection: Shari Reiss (Technion, Israel), Amr Radwan (ASRT, Egypt), Tharwh Qutaish (RSS, Jordan), René Baptista (CEP, Bolivia), Bryan Mthiko (Bintel Analytics, Malawi), Abdelhak Chaibi (R&D Maroc, Morocco).