Biotechnology, Synthetic Biology, and ICT Define the Emerging Knowledge-Based Bio-Economy

Researchers, policy-makers, and industry practitioners alike herald the Knowledge-Based Bio-Economy (KBBE) as the “Next Big Thing” in societal progress. The story, which receives a lot of attention, goes like this: Over the last decades, economies around the globe have transformed into a Knowledge-Based Economy (KBE). Knowledge became the Economy-Defining Resource (EDR) of the KBE and Information and Communication Technology (ICT) has served as its Economy-Defining Technology (EDT). Now modern biotechnology becomes another EDT – leading to the KBBE. Bio-resources jointly with knowledge take on the role of the KBBE EDRs. At the heart of this story lies the relationship between resources, technologies and economies, which, under distinct circumstances, may give rise to a major economic transformation. This raises a number of important questions: What constitutes the implied primacy of economics? Why is the KBBE the next big thing? What is the role of resources, namely knowledge and bio-resources, in the context of economic transformations? Why are ICT and biotechnology the EDTs for these economic transformations? With respect to the KBBE, what are the enabling technologies? Last but not least, given the overall ICTERI conference theme and given that ICT remains an EDT for the KBBE, what are the high-level and long-term KBBE ICT challenges? The paper discusses these challenges and attempts to answer these questions at a conceptual level.

[1]  F. O. Hoffman,et al.  Propagation of uncertainty in risk assessments: the need to distinguish between uncertainty due to lack of knowledge and uncertainty due to variability. , 1994, Risk analysis : an official publication of the Society for Risk Analysis.

[2]  Jeannette M. Wing An introduction to computer science for non-majors using principles of computation , 2007, SIGCSE.

[3]  Peter B. Henderson,et al.  Ubiquitous Computational Thinking , 2009, Computer.

[4]  Jay Xiong New Software Engineering Paradigm Based on Complexity Science , 2011 .

[5]  C. Darwin,et al.  Autobiography of Charles Darwin , 1887 .

[6]  J. Buchli,et al.  Complexity Engineering: Harnessing Emergent Phenomena as Opportunities for Engineering , 2005 .

[7]  Boyan Jovanovic,et al.  General Purpose Technologies , 2005 .

[8]  Steven E. Holley,et al.  Nano Revolution--Big Impact: How Emerging Nanotechnologies Will Change the Future of Education and Industry in America (and More Specifically in Oklahoma). An Abbreviated Account. , 2009 .

[9]  H. Kitano Systems Biology: A Brief Overview , 2002, Science.

[10]  Ying Xie,et al.  Teaching computational thinking to non-computing majors using spreadsheet functions , 2011, 2011 Frontiers in Education Conference (FIE).

[11]  Olaf Wolkenhauer,et al.  Systems Biology: the Reincarnation of Systems Theory Applied in Biology? , 2001, Briefings Bioinform..

[12]  M. Ashcraft,et al.  Mathematics Anxiety and the Affective Drop in Performance , 2009 .

[13]  Helen Shapiro Engines of Growth , 1994 .

[14]  Nathan Rosenberg,et al.  A General-Purpose Technology at Work: The Corliss Steam Engine in the Late-Nineteenth-Century United States , 2004 .

[15]  Clifford A. Shaffer,et al.  Challenges for Modeling and Simulation Methods in Systems Biology , 2006, Proceedings of the 2006 Winter Simulation Conference.

[16]  Simon Griffiths,et al.  A Genetic Framework for Grain Size and Shape Variation in Wheat[C][W] , 2010, Plant Cell.

[17]  P. Gahan,et al.  Progress towards the 'Golden Age' of biotechnology. , 2013, Current opinion in biotechnology.

[18]  J. Keasling Synthetic biology for synthetic chemistry. , 2008, ACS chemical biology.

[19]  D. Braha,et al.  Complex Engineered Systems: A New Paradigm , 2006 .

[20]  Jay Xiong,et al.  A Complete Revolution in Software Engineering Based on Complexity Science , 2009, Software Engineering Research and Practice.

[21]  E. Michael,et al.  Marine Ecology and the Coefficient of Association: A Plea in Behalf of Quantitative Biology , 1920 .

[22]  Andreas Madlung,et al.  A Study Assessing the Potential of Negative Effects in Interdisciplinary Math–Biology Instruction , 2011, CBE life sciences education.

[23]  Cheryl Lemke,et al.  enGauge 21st Century Skills: Digital Literacies for a Digital Age. , 2002 .

[24]  Giovanna Di Marzo Serugendo,et al.  Concepts in complexity engineering , 2011, Int. J. Bio Inspired Comput..

[25]  Peter B. Henderson,et al.  Computational thinking , 2006, Computing Handbook, 3rd ed..

[26]  Chenglie Hu,et al.  Computational thinking: what it might mean and what we might do about it , 2011, ITiCSE '11.

[27]  R. Symons,et al.  Biochemical method for inserting new genetic information into DNA of Simian Virus 40: circular SV40 DNA molecules containing lambda phage genes and the galactose operon of Escherichia coli. , 1972, Proceedings of the National Academy of Sciences of the United States of America.

[28]  Jörg Stelling,et al.  Systems analysis of cellular networks under uncertainty , 2009, FEBS letters.

[29]  L. Bertalanffy AN OUTLINE OF GENERAL SYSTEM THEORY , 1950, The British Journal for the Philosophy of Science.

[30]  Manfred Drack,et al.  On the Making of a System Theory of Life: Paul A Weiss and Ludwig von Bertalanffy's Conceptual Connection , 2007, The Quarterly Review of Biology.

[31]  P. Aghion,et al.  Handbook of Economic Growth , 2005 .

[32]  W. Bialek,et al.  Introductory Science and Mathematics Education for 21st-Century Biologists , 2004, Science.

[33]  Chris Stephenson,et al.  Bringing computational thinking to K-12: what is Involved and what is the role of the computer science education community? , 2011, INROADS.

[34]  N. Suh,et al.  Complex Engineered Systems , 2006 .

[35]  M. M. Capraro,et al.  Commonality Analysis: Understanding Variance Contributions to Overall Canonical Correlation Effects of Attitude Toward Mathematics on Geometry Achievement , 2001 .

[36]  Paul Freemont,et al.  Synthetic biology – the state of play , 2012, FEBS letters.

[37]  Peter Wentworth,et al.  Computational thinking in educational activities: an evaluation of the educational game light-bot , 2013, ITiCSE '13.

[38]  L. Robbins,et al.  An Essay on the Nature and Significance of Economic Science. , 1934 .

[39]  H. Kitano,et al.  Computational systems biology , 2002, Nature.

[40]  Max Boisot,et al.  Is your firm a creative destroyer? Competitive learning and knowledge flows in the technological strategies of firms , 1995 .

[41]  M. V. Regenmortel,et al.  Reductionism and complexity in molecular biology , 2004, HIV/AIDS: Immunochemistry, Reductionism and Vaccine Design.

[42]  Thomas Clarke The knowledge economy , 2001 .

[43]  Peter J. Denning,et al.  The profession of ITComputing's paradigm , 2009, Commun. ACM.

[44]  P. Swain,et al.  Stochastic Gene Expression in a Single Cell , 2002, Science.

[45]  Manuel Oliva,et al.  Collaborative Engineering: An Airbus Case Study☆ , 2013 .

[46]  Jon C. Helton,et al.  Challenge Problems : Uncertainty in System Response Given Uncertain Parameters ( DRAFT : November 29 , 2001 ) , 2001 .

[47]  T. Lu,et al.  Synthetic biology: an emerging engineering discipline. , 2012, Annual review of biomedical engineering.

[48]  I. Elmadfa,et al.  Safety Considerations of DNA in Food , 2001, Annals of Nutrition and Metabolism.

[49]  Peter J. Denning,et al.  The profession of ITBeyond computational thinking , 2009, CACM.

[50]  E. Andrianantoandro,et al.  Synthetic biology: new engineering rules for an emerging discipline , 2006, Molecular systems biology.

[51]  C. Bamforth,et al.  Grape vs. Grain: A Brief History of Beer , 2008 .

[52]  Miranda Robertson,et al.  Biologists who count* , 2009, Journal of biology.

[53]  S. Z. M. Hashim,et al.  The emerging field of synthetic biology: A review , 2012, 2012 4th International Conference on Intelligent and Advanced Systems (ICIAS2012).

[54]  G. Sher,et al.  Out of Control* , 2006, Ethics.

[55]  Van Regenmortel Mh Reductionism and complexity in molecular biology. Scientists now have the tools to unravel biological and overcome the limitations of reductionism. , 2004 .

[56]  Å. Holmgren A Framework for Vulnerability Assessment of Electric Power Systems , 2007 .

[57]  Andrea E. Weinberg Computational thinking: An investigation of the existing scholarship and research , 2013 .

[58]  Daniel D. Garcia,et al.  If ____________, you might be a computational thinker! , 2010, SIGCSE.

[59]  Carol-Ann Ortega,et al.  Integrated Elementary Technology Education. , 1995 .

[60]  Alan Shiell,et al.  Complex interventions: how “out of control” can a randomised controlled trial be? , 2004, BMJ : British Medical Journal.

[61]  Third Edition,et al.  THE MEASUREMENT OF SCIENTIFIC AND TECHNOLOGICAL ACTIVITIES: PROPOSED GUIDELINES FOR COLLECTING AND INTERPRETING INNOVATION DATA , 2005 .

[62]  Griffin M. Weber,et al.  BioNumbers—the database of key numbers in molecular and cell biology , 2009, Nucleic Acids Res..

[63]  Anthony Arundel,et al.  OECD Biotechnology Statistics 2009 , 2006 .

[64]  N Williams Biologists Cut Reductionist Approach Down to Size , 1997, Science.

[65]  Jeannette M. Wing Computational thinking and thinking about computing , 2008, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[66]  Carolyn Coil Teaching Tools for the 21st Century , 1997 .

[67]  Thomas L. Naps,et al.  Proceedings of the 16th annual joint conference on Innovation and technology in computer science education , 2011 .

[68]  Harry van Moorst The multi-function polis — Incubator of elitism , 1990 .

[69]  L. Leydesdorff,et al.  The dynamics of innovation: from National Systems and , 2000 .

[70]  Soha Hassoun,et al.  Genetic/bio design automation for (re-)engineering biological systems , 2012, 2012 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[71]  Henry R. Towne THE ENGINEER AS AN ECONOMIST. , 1986 .

[72]  Andrea L. Ziegert,et al.  The Role of Personality Temperament and Student Learning in Principles of Economics: Further Evidence , 2000 .

[73]  A. Bundy Computational Thinking is Pervasive , 2007 .