Data Mining and Machine Learning Kickoff Workshop Welcome and Introduction

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The Basics

• Vision New synthesis of statistical sciences
  and applied mathematical sciences with
  disciplinary science to confront data- and
  model-driven scientific challenges
• Structure Partnership of Duke, NCSU, UNC, and
  NISS
• Funding Mathematical Sciences Research
  Institutes program of the NSF/DMS, William R.
  Kenan, Jr. Institute for Engineering, Technology
  and Science
• Management James Berger (Duke), H. T. Banks
  (NCSU), J. S. Marron (UNC), Alan F. Karr (NISS)

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SAMSI Programs

• 2-3 research programs per year
• At interfaces Involve both statistics and
  applied math, as well as
• Probability
• Computational sciences
• Operations research
• Framed and guided by disciplinary needs
• Catalytic rather than conclusional

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SAMSI Programs

• 2002-03
• Stochastic Computation
• Inverse Problem Methodology in Complex Stochastic
  Models
• Large-Scale Computer Models for Environmental
  Systems
• 2003-04
• Data Mining and Machine Learning
• Network Modeling for the Internet
• Multiscale Model Development and Control Design
• 2004-05
• Computational Biology of Infectious Disease
• Data Assimilation
• Social Sciences

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Opportunities for Participation

• Undergraduates SAMSI/CRSC Undergraduate
  Workshops (1 day, 2 day, 1 week)
• Graduate students
• Research programs
• IMSMW Industrial Mathematical and Statistical
  Modeling Workshops (10 days)
• Postdocs 2 year appointments, in collaboration
  with NISS, universities,
• Established researchers, including young
  researchers
• Workshops
• Research visits (short- and long-term)
• SAMSI-University Fellowships
• Program proposals and leadership

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