Collective theranostics and postgenomics entrepreneurship: rethinking innovations as knowledge ecosystems built by complex collaboration

Some might think science is a romantic endeavor. The classic ‘Edisonian’ lens of science has advanced precisely that vision: ‘the lone genius’. While this (false) metaphor of solitary scientific practice in a laboratory detached from society has prevailed for the past 400 years since the Enlightenment, ‘game changing’ transformative ideas do not hatch in a vacuum. Science and innovation are inherently social, political and collective activities [2–6,101]. They require a favorable innovation climate or milieu, be it information systems, crossfunctional knowledge teams, understanding of organizational behavior, healthcare management, social and even meteorological climate [7,8]. The building and sustenance of research infrastructures and scientific discoveries can be stifled when these forces intersect and interact unfavorably. Theranostics is the merger of therapeutics with diagnostics in the current era of postgenomics data-intensive life sciences [9–12]. As suggested in the quote above, how we formulate the scientific questions in theranostics – as a solitary or collective activity – will be one of the most crucial drivers of innovation. Prainsack notes in her interview, for example, that theranostics may be a game changer as it entails new ways of ‘doing science’ [12]. Indeed, far from being a solitary research led by individual scientists, theranostics knowledge is truly transdisciplinary, application and collective innovationoriented, and coproduced in multiple scales and locales, both inside and outside academia [12,13]. In this editorial, we underscore that whenever knowledge traverses disciplinary, ontological, epistemological (i.e., ways of knowing; how do we know what we know?), organizational, political and geographical boundaries, the need for Collective theranostics and postgenomics entrepreneurship: rethinking innovations as knowledge ecosystems built by complex collaboration

[1]  B. Pulendran,et al.  Systems vaccinomics: the road ahead for vaccinology. , 2011, Omics : a journal of integrative biology.

[2]  Pierre Bourdieu,et al.  Outline of a Theory of Practice , 2020, On Violence.

[3]  P. Bourdieu,et al.  实践与反思 : 反思社会学导引 = An invitation to reflexive sociology , 1994 .

[4]  Eugene Kolker,et al.  DELSA Global for “Big Data” and the Bioeconomy: Catalyzing Collective Innovation , 2012 .

[5]  Eugene Kolker,et al.  Opportunities and challenges for the life sciences community. , 2012, Omics : a journal of integrative biology.

[6]  R. Haring,et al.  Diving through the "-omics": the case for deep phenotyping and systems epidemiology. , 2012, Omics : a journal of integrative biology.

[7]  Yan Xiao,et al.  Coordination in Fast-Response Organizations , 2006, Manag. Sci..

[8]  Vural Ozdemir,et al.  End of the Beginning and Public Health Pharmacogenomics: Knowledge in 'Mode 2' and P5 Medicine. , 2012, Current pharmacogenomics and personalized medicine.

[9]  Tikki Pang Theranostics, the 21st century bioeconomy and ‘one health’ , 2012 .

[10]  Barbara Prainsack Direct-to-consumer theranostics, 21st century collective innovation and entrepreneurship , 2012 .

[11]  U. Ram,et al.  Trends in selective abortions of girls in India: analysis of nationally representative birth histories from 1990 to 2005 and census data from 1991 to 2011 , 2011, The Lancet.

[12]  Gareth Monkman Greater than the sum of its parts , 2002 .

[13]  M. Tsuang,et al.  Shifting emphasis from pharmacogenomics to theragnostics , 2006, Nature Biotechnology.

[14]  S. Faraj,et al.  Boundary work in knowledge teams. , 2009, The Journal of applied psychology.

[15]  Gary J. W. Liao,et al.  Prenatal assessment of fetal chromosomal and genetic disorders through maternal plasma DNA analysis , 2012, Pathology.

[16]  David H. Guston,et al.  Scientists Not Immune to Partisanship , 2009, Science.

[17]  J. Stockman Trends in selective abortions of girls in India: analysis of nationally representative birth histories from 1990 to 2005 and census data from 1991 to 2011 , 2013 .