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Category Archives: Data for Good

a song in praise of data scientist Rebekah Jones

Posted on 12 December 2020 by ecoquant

I linked to Rebekah Jones‘ keynote address at the August 2020 Data Science Conference on COVID-19 sponsored by the National Institute for Statistical Science. Below is a song in tribute to her, wishing her well. (h/t Bill McKibben) We’re doing … Continue reading →

Posted in American Association for the Advancement of Science, American Mathematical Society, American Statistical Association, Boston Ethical Society, children as political casualties, Data for Good, data science, geographic, geographic information systems, International Society for Bayesian Statistics, journalism, mathematics, New England Statistical Society, pandemic, Rebekah Jones, Risky Talk, science, Significance, statistical ecology, statistics, the problem of evil, whistleblowing, ``The tide is risin'/And so are we'' | Leave a comment

David Corliss on “Getting started in Data for Good”

Posted on 5 September 2020 by ecoquant

Data for Good. Statistics without Borders. DataKind.

Posted in Data for Good, DataKind, Statistics without Borders | Leave a comment
  • Distributed Solar: The Democratizaton of Energy

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    • "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
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    • Darren Wilkinson's introduction to ABC Darren Wilkinson’s introduction to approximate Bayesian computation (“ABC”). See also his post about summary statistics for ABC https://darrenjw.wordpress.com/2013/09/01/summary-stats-for-abc/
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    • ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
    • Climate Change: A health emergency … New England Journal of Medicine Caren G. Solomon, M.D., M.P.H., and Regina C. LaRocque, M.D., M.P.H., January 17, 2019 N Engl J Med 2019; 380:209-211 DOI: 10.1056/NEJMp1817067
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    • SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
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    • Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
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    • The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
    • Dessler's 6 minute Greenhouse Effect video
    • The beach boondoggle Prof Rob Young on how owners of beach property are socializing their risks at costs to all of us, not the least being it seems coastal damage is less than it actually is
    • The Keeling Curve The first, and one of the best programs for creating a spatially significant long term time series of atmospheric concentrations of CO2. Started amongst great obstacles by one, smart determined guy, Charles David Keeling.
    • Professor Robert Strom's compendium of resources on climate change Truly excellent
    • Exxon-Mobil statement on UNFCCC COP21
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    • “The discovery of global warming'' (American Institute of Physics)
    • Agendaists Eli Rabett’s coining of a phrase
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    • Model state level energy policy for New Englad Bob Massie’s proposed energy policy for Massachusetts, an admirable model for energy policy anywhere in New England
    • “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
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    • "Getting to the Energy Future We Want," Dr Steven Chu
    • "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
    • "Betting strategies on fluctuations in the transient response of greenhouse warming" By Risbey, Lewandowsky, Hunter, Monselesan: Betting against climate change on durations of 15+ years is no longer a rational proposition.
    • Mrooijer's Global Temperature Explorer
    • Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
    • The Scientific Case for Modern Human-caused Global Warming
    • Jacobson WWS literature index
    • Mathematics and Climate Research Network The Mathematics and Climate Research Network (MCRN) engages mathematicians to collaborating on the cryosphere, conceptual model validation, data assimilation, the electric grid, food systems, nonsmooth systems, paleoclimate, resilience, tipping points.
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    • HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
    • Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
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  • Kalman filtering and smoothing; dynamic linear models



    Also, see datasets and R examples to accompany this excellent text.





    I have used dlm almost exclusively, except when extreme efficiency was required. Since Jouni Helske's KFAS was rewritten, though, I'm increasingly drawn to it, because the noise sources it supports are more diverse than dlm's. KFAS uses the notation and approaches of Durbin, Koopman, and Harvey.

    ``The real problem is that programmers have spent far too much time worrying about efficiency in the wrong places and at the wrong times; premature optimization is the root of all evil (or at least most of it) in programming.''
    Professor Donald Knuth, 1974
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