Principles of convergence in nature and society and their application: from nanoscale, digits, and logic steps to global progress.
Mihail C RocoPublished in: Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology (2020)
Knowledge, technology, and society as well as natural systems are increasingly coherent and complex, and new systems are continuously formed at their interfaces. Convergence is a problem-solving strategy to holistically understand, create, and transform a system for reaching a common goal, such as advancing an emerging technology in society. The systems may be either in natural, scientific, technological, economic, or societal settings. Convergence offers a unifying strategy applicable to all systems that can be modeled as evolving neural-like networks. The paper presents an overview of the convergence science including underlying theories, principles, and methods and illustrates its implementation in key areas of application. The convergence approach begins with deep integration of previously separated fields, communities, and modes of thinking, to form and improve a new system, from where solutions divergence to previously unattainable applications and outcomes. The worldwide science and technology (S&T) landscape is changing at the beginning of the twenty-first century because of convergence. First, there is the affirmation of three transdisciplinary general-purpose technologies-nanotechnology, digital technology, and artificial intelligence (AI). A second main characteristics is the deep integration of five foundational science and technology fields (NBICA: nanoscale, modern biology, information, cognition, and artificial intelligence) from their basic elements-atoms, genes, bits, neurons, and logic steps and their collective action-to address global challenges and opportunities. The affirmation of nanotechnology at the confluence of disciplines toward systematic control of matter at the nanoscale has been an enabling inspiration and foundation for other S&T fields, emerging industries, and convergence solutions in society. Several future opportunities for implementation of convergence principles are the global S&T system, realizing sustainable society, advancing human capabilities, and conflict resolution.
Keyphrases
- artificial intelligence
- machine learning
- big data
- deep learning
- public health
- healthcare
- primary care
- endothelial cells
- type diabetes
- atomic force microscopy
- gene expression
- quality improvement
- single cell
- insulin resistance
- genome wide
- single molecule
- mild cognitive impairment
- dna methylation
- mass spectrometry
- social media
- skeletal muscle
- high speed
- genome wide analysis