Applied New Science LLC

Act on what matters—
—Green the built environment

Applied New Science greens the built environment.  We empower homeowners, residential tenants, building remodelers, community development stakeholders, and ordinary citizens by providing access to all possible computations about green technology energy efficiencies and costs, federal, state and local tax credits and financial incentives, capitalization rates, building contractor capabilities, and environmental performance indices.


Performance estimates (financial, environmental, or social) for the built environment depend on both computable factors and stakeholder consensus about the relative importance of these factors.


Wolfram│Alpha harnesses everyman’s computational knowledge engine.  Computations are initiated by natural language queries and the results are presented in a well organized format.  Simple query refinements meet the needs for more specialized computational results.


New Kind of Science (NKS) makes Wolfram│Alpha possible in the same sense that Alan Turing and his contemporaries’ early 20th century concept of universal computing anticipates mainframe data processing, personal computing and most recently cloud computing.  NKS suggests that a computational knowledge engine:

  1. Analyze language according to computations it can describe rather than attempting to derive a mathematics like system of theorems specifying all linguistic statements that could possibly be true.  (Because the space of theorem like systems is in some sense too big.)
  2. Science and engineering can model only a tiny sliver of the universe of possible computations.  Alpha’s linguistic analysis is made feasible by a very powerful assumption that its input describes only knowledge computable from these traditional models.
  3. To an ever increasing degree automate the data modeling process.

Successful Wolfram│Alpha users need not be aware that it is an NKS application. 


Mathematica enables Wolfram│Alpha and everyman’s green computations.  It brings key capabilities and advantages to the four major internal components of Alpha. 

  1. Data Curation Pipeline.  Concurrent with the lengthy development of version 6 and subsequently at an accelerating pace, curated data has been seamlessly built into Mathematica’s computational framework.  For example, version 7 systematically covers current and in many cases historical values of tens of thousands of social, economic, and geographic facts about countries and cities; and has financial trend data on hundreds of thousands of financial entities, including currencies, exchanges, commodity futures, stocks, and bonds.
  2. Algorithms and Models.  Mathematica automatically applies appropriate algorithms from its vast library to solve equations in both symbolic and numeric form.  Improving building energy use might require the solution of equations for radiative heat transfer, heat conduction, and natural or forced convective heat transfer.  With version 7 Mathematica comprehensively supports all standard cartographic projections and geodetic datums.  The resulting geographic information system (GIS) functionality embeds the built environment in the larger natural environment and provides the big picture view of biological habitat, biodiversity, human health and aesthetics.
  3. Linguistic Analysis.  In addition to informing the very possibility of Alpha’s linguistic analysis, NKS mines the computational universe for rules that enable Alpha to understand natural language input.  Mathematica was conceived and over the subsequent decades developed to excel at exactly this sort of computational mining.
  4. Presentation Technology.  Perhaps Mathematica’s most spectacular recent success is in the area of automated user interfaces.  Building diagrams and financial or energy plots interactively respond to solar time sliders, building material menus, funding source checkboxes, and animation trigger buttons.



Christopher Haydock (President)