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NEW ENGLAND COMPLEX SYSTEMS INSTITUTE

2018 FALL PROGRAM

2 Courses // 1 Week // Cambridge, MA

Integrating Artificial & Human Intelligence

Reshaping Strategy in the Age of Big Data

October 29 - Nov 02, 2018

Organizations are operating in an increasingly complex global context. 

Business and society are transforming and becoming increasingly complex. Artificial Intelligence, machine learning, big data analytics and hybrid human-machine systems are playing an increasing role in business products, strategy, and in the organization itself. 

NECSI is hosting two courses as part of its week-long NECSI Executive 2018 Fall Program in Boston, MA. Each course can stand alone, but together they form a potent and practical training experience for the executive leader. 

Who Should Attend?

  • Senior-level executives who understand the importance of data in their organizations and want to harness it for greater competitive advantage
  • Functional leaders in areas such as marketing, finance and other operational areas who would benefit from a better understanding of how to use big data and analytics in decision-making
  • Federal government managers seeking to gain new insight and business perspectives to leverage the power of analytics for improved organizational performance

    learn Together

    Join a diverse group of industry leaders in gaining new skills and solving business challenges based on the latest in complexity science.

    2 COURSES // 1 WEEK

     

    INTEGRATING ARTIFICIAL AND HUMAN INTELLIGENCE

    For two and a half intense days this course prepares leaders for the ongoing transformation of business and society, what the role of AI is in relation to human intelligence and how they integrate. NECSI will provide new tools for recognizing and handling complexity in business and practical guides to integrating AI and HI in products, organizational decision making, and addressing challenges from individual to global.

    The course will cover:

    • The practical opportunities and risks of Artificial Intelligence
    • The complex systems science of Human and Artificial Intelligence
    • Differences between AI and HI
    • What AI and HI can and cannot do now and in the future
    • Individual, corporate and global implications

      RESHAPING STRATEGY IN THE AGE OF BIG DATA 

      For two and a half intense days this course prepares leaders to think, anticipate, and respond strategically in a complex environment. Complexity science allows us to accurately predict real-world events and describe unintended consequences, dynamics, and emergent behaviors in real-world social systems. Learn how to harness this framework to extract the most important information from data for advanced decision making and innovation in organizations.

      The course will cover: 

      • Identifying the leverage points to manage instability and risk
      • Strategies for framing actionable responses to achieve desired outcomes
      • Prediction at the limits of uncertainty
      • Understanding the implications of rapid global social and political change
       

      The FACULTY

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      YANEER BAR-YAM

      President and Professor, NECSI

      Prof. Yaneer Bar-Yam received his SB and PhD in physics from MIT in 1978 and 1984 respectively. Since the late 1980s he has contributed to founding the field of complex systems science, introducing fundamental mathematical rigor, real world application, and educational programs for new concepts and insights of this field.

      In developing new mathematical methods and in their application he has published on a wide range of scientific and real world problems ranging from cell biology to the global financial crisis.

      He is the author of two books: a textbook Dynamics of Complex Systems, and Making Things Work, which applies complex systems science to solving problems in healthcare, education, systems engineering, international development, and ethnic conflict.

      He has been a Visiting Scholar at Department of Molecular and Cellular Biology at Harvard and the Federal Reserve Bank of Boston. He is currently Research Scientist at the MIT Media Laboratory.

      ALFREDO J. MORALES

      Assistant Professor, NECSI

      Prof. Alfredo J. Morales received his MSc and PhD in Physics of Complex Systems from Universidad Politécnica de Madrid. He contributes to building a better understanding of social systems by developing computational and analytical methods based on complex systems science and data science.

      Morales' work is at the intersection of computer science, statistics, applied physics and artificial intelligence. He analyzes large datasets that result from human activity on social media, internet, mobile phones or purchases in order to retrieve unstructured patterns of collective behaviors that explain large scale societal properties, such as social dynamics, urban dynamics, segregation, political engagement, political polarization and social influence. 

      He is currently a Visiting Researcher at the MIT Media Laboratory.

      NASSIM NICHOLAS TALEB

      Visiting speaker - Distinguished Professor of Risk Engineering, NYU and External Professor, NECSI

      Nassim Nicholas Taleb spent 21 years as a risk taker (quantitative  trader) before becoming a researcher in philosophical, mathematical and (mostly) practical problems with probability.  

      Taleb is the author of a multivolume essay, the Incerto (The Black Swan, Fooled by Randomness, Antifragile, and Skin in the Game) covering broad facets of uncertainty. It has been translated into 36 languages. 

      In addition to his trader life, Taleb has also written, as a backup of the Incerto, more than 50 scholarly papers in statistical physics, statistics, philosophy, ethics, economics, international affairs, and quantitative finance, all around the notion of risk and probability.  

      Taleb is currently Distinguished Professor of Risk Engineering at NYU's Tandon School of Engineering (only a quarter time position) [and, finance related bio only: scientific advisor for Universa Investments]. His current focus is on the properties of systems that can handle disorder ("antifragile"). 

      Taleb refuses all honors and anything that "turns knowledge into a spectator sport".