Distributed Solar: The Democratizaton of Energy
Blogroll
- Pat's blog While it is described as “The mathematical (and other) thoughts of a (now retired) math teacher”, this is false humility, as it chronicles the present and past life and times of mathematicians in their context. Recommended.
- The Alliance for Securing Democracy dashboard
- "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al) Global warming, air pollution, and energy insecurity are three of the greatest problems facing humanity. To address these problems, we develop Green New Deal energy roadmaps for 143 countries.
- Gabriel's staircase
- All about Sankey diagrams
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Awkward Botany
- Los Alamos Center for Bayesian Methods
- John Cook's reasons to use Bayesian inference
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- Dollars per BBL: Energy in Transition
- Mertonian norms
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- Ted Dunning
- Harvard's Project Implicit
- Why "naive Bayes" is not Bayesian Explains why the so-called “naive Bayes” classifier is not Bayesian. The setup is okay, but estimating probabilities by doing relative frequencies instead of using Dirichlet conjugate priors or integration strays from The Path.
- Prediction vs Forecasting: Knaub “Unfortunately, ‘prediction,’ such as used in model-based survey estimation, is a term that is often subsumed under the term ‘forecasting,’ but here we show why it is important not to confuse these two terms.”
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- distributed solar and matching location to need
- 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/
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- Gavin Simpson
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- Simon Wood's must-read paper on dynamic modeling of complex systems I highlighted Professor Wood’s paper in https://hypergeometric.wordpress.com/2014/12/26/struggling-with-problems-already-attacked/
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- Label Noise
- Leverhulme Centre for Climate Change Mitigation
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- Why It’s So Freaking Hard To Make A Good COVID-19 Model Five Thirty Eight’s take on why pandemic modeling is so difficult
- BioPython A collection of Python tools for quantitative Biology
- London Review of Books
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- Mike Bloomberg, 2020 He can get progress on climate done, has the means and experts to counter the Trump and Republican digital disinformation machine, and has the experience, knowledge, and depth of experience to achieve and unify.
- Lenny Smith's CHAOS: A VERY SHORT INTRODUCTION This is a PDF version of Lenny Smith’s book of the same title, also available from Amazon.com
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- Leadership lessons from Lao Tzu
- Risk and Well-Being
- Earle Wilson
- SASB Sustainability Accounting Standards Board
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- Subsidies for wind and solar versus subsidies for fossil fuels
- Logistic curves in market disruption From DollarsPerBBL, about logistic or S-curves as models of product take-up rather than exponentials, with notes on EVs
climate change
- Climate impacts on retail and supply chains
- Risk and Well-Being
- RealClimate
- Nick Bower's "Scared Scientists"
- "Getting to the Energy Future We Want," Dr Steven Chu
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- Climate change: Evidence and causes A project of the UK Royal Society: (1) Answers to key questions, (2) evidence and causes, and (3) a short guide to climate science
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- Berkeley Earth Surface Temperature
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- Earth System Models
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- CLIMATE ADAM Previously from the Science news staff at the podcast of Nature (“Nature Podcast”), the journal, now on YouTube, encouraging climate action through climate comedy.
- Ice and Snow
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- James Powell on sampling the climate consensus
- Bloomberg interactive graph on “What's warming the world''
- Andy Zucker's "Climate Change and Psychology"
- Sea Change Boston
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- US$165/tonne CO2: Sweden Sweden has a Carbon Dioxide tax of US$165 per tonne at present. CO2 tax was imposed in 1991. GDP has grown 60%.
- Agendaists Eli Rabett’s coining of a phrase
- "A field guide to the climate clowns"
- 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
- AIP's history of global warming science: impacts The American Institute of Physics has a fine history of the science of climate change. This link summarizes the history of impacts of climate change.
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- Climate model projections versus observations
- Skeptical Science
- Mrooijer's Global Temperature Explorer
- World Weather Attribution
- David Appell's early climate science
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- An open letter to Steve Levitt
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- Grid parity map for Solar PV in United States
- 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
- "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al) Global warming, air pollution, and energy insecurity are three of the greatest problems facing humanity. To address these problems, we develop Green New Deal energy roadmaps for 143 countries.
- Thriving on Low Carbon
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- And Then There's Physics
- On Thomas Edison and Solar Electric Power
- Paul Beckwith Professor Beckwith is, in my book, one of the most insightful and analytical observers on climate I know. I highly recommend his blog, and his other informational products.
- Climate Change Denying Organizations
- 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.
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Steve Easterbrook's excellent climate blog: See his "The Internet: Saving Civilization or Trashing the Planet?" for example Heavy on data and computation, Easterbrook is a CS prof at UToronto, but is clearly familiar with climate science. I like his “The Internet: Saving Civilization or Trashing the Planet” very much.
- Jacobson WWS literature index
Archives
Jan Galkowski
Category Archives: epidemiology
ICL’s Gast, Openshaw, Riley, Barclay on COVID-19 by SARS-CoV-2 : Disease, transmission, variants, and all that
Posted in COVID-19, epidemiology, ICL, SARS-CoV-2
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Phase Plane plots of COVID-19 deaths with uncertainties
I. Introduction. It’s time to fulfill the promise made in “Phase plane plots of COVID-19 deaths“, a blog post from 2nd May 2020, and produce the same with uncertainty clouds about the functional trajectories(*). To begin, here are some assumptions … Continue reading
Posted in American Statistical Association, Andrew Harvey, anomaly detection, count data regression, COVID-19, dependent data, dlm package, Durbin and Koopman, dynamic linear models, epidemiology, filtering, forecasting, Kalman filter, LaTeX, model-free forecasting, Monte Carlo Statistical Methods, numerical algorithms, numerical linear algebra, population biology, population dynamics, prediction, R, R statistical programming language, regression, statistical learning, stochastic algorithms
Tagged prediction intervals
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“No, COVID-19 Is not the Flu”
Q&A with Andrew Pekosz, PhD, Johns Hopkins University: Q: What would you say to someone who insists to you that COVID-19 is “just the flu”? A: Since December 2019, COVID-19 has killed more people in the U.S. than influenza has … Continue reading
Posted in coronavirus, COVID-19, epidemiology, SARS-CoV-2
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Rebekah Jones
From Rebekah Jones‘ keynote at the Data Science for COVID-19: Florida COVID Action The COVID Monitor Google COVID-19 Open Data Project
Posted in epidemiology, ethical ideals, ethics, Rebekah Jones, whistleblowing
Tagged Florida COVID Action, The COVID Monitor
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Has maintaining economic growth been worth it?
From Our World in Data article “No sign of a health-economy trade-off, quite the opposite“. Have the countries experiencing the largest economic decline performed better in protecting the nation’s health, as we would expect if there was a trade-off? The … Continue reading
Posted in coronavirus, COVID-19, economics, epidemiology, pandemic, policy metrics, politics, SARS-CoV-2
Tagged covid19, economicimpact, lives_for_dollars, pandemicresponse, sars_cov_2
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“Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions”
J. Dehning et al., Science 369, eabb9789 (2020). DOI: 10.1126/science.abb9789 Source code and data. Note: This is not a classical approach to assessing strength of interventions using either counterfactuals or other kinds of causal inference. Accordingly, the argument for the … Continue reading
Posted in American Association for the Advancement of Science, American Statistical Association, Bayesian, Bayesian computational methods, causal inference, causation, changepoint detection, coronavirus, counterfactuals, COVID-19, epidemiology, SARS-CoV-2, state-space models, statistical series, time series
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COVID-19 statistics, a caveat : Sources of data matter
There are a number of sources of COVID-19-related demographics, cases, deaths, numbers testing positive, numbers recovered, and numbers testing negative available. Many of these are not consistent with one another. One could hope at least rates would be consistent, but … Continue reading
First substantial mechanism for long term immunity from SARS-CoV-2 : T-cells
M. Leslie, “T cells found in COVID-19 patients ‘bode well’ for long-term immunity“, Science, doi:10.1126/science.abc8120. A. Grifoni, et al, “Targets of T cell responses to SARS-CoV-2 coronavirus in humans with COVID-19 disease and unexposed individuals“, Cell, 14th May 2020. J. … Continue reading
“Seasonality of COVID-19, Other Coronaviruses, and Influenza” (from Radford Neal’s blog)
Thorough review with documentation and technical criticism of claims of COVID-19 seasonality or its lack. Whichever way this comes down, the links are well worth the visit! Will the incidence of COVID-19 decrease in the summer? There is reason to … Continue reading
New COVID-19 incidence in the United States as AR(1) processes
There are several sources of information regarding Covid-19 incidence now available. This post uses data from a single source: the COVID Tracking Project. In particular I restrict attention to cumulative daily case counts for the United States, the UK, and … Continue reading
Posted in coronavirus, COVID-19, epidemiology, pandemic, regression, SARS-CoV-2
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What happens when time sampling density of a series matches its growth
This is the newly updated map of COVID-19 cases in the United States, updated, presumably, because of the new emphasis upon testing: How do we know this is the recent of recent testing? Look at the map of active cases: … Continue reading
Posted in American Association for the Advancement of Science, American Statistical Association, anti-intellectualism, anti-science, climate denial, corruption, data science, data visualization, Donald Trump, dump Trump, epidemiology, experimental science, exponential growth, forecasting, Kalman filter, model-free forecasting, nonlinear systems, open data, penalized spline regression, population dynamics, sampling algorithms, statistical ecology, statistical models, statistical regression, statistical series, statistics, sustainability, the right to know, the stack of lies
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R ecosystem package coronavirus
Dr Rami Krispin of the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) has just released the R package coronavirus, which “provides a daily summary of the Coronavirus (COVID-19) cases by state/province“, caused by 2019-nCoV. (update 2020-03-12 … Continue reading
Posted in data presentation, data science, epidemiology
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“Code for causal inference: Interested in astronomical applications”
via Code for causal inference: Interested in astronomical applications From Professor Ewan Cameron at his Another Astrostatistics Blog.
Posted in American Association for the Advancement of Science, American Statistical Association, astronomy, astrostatistics, causal inference, causation, counterfactuals, epidemiology, experimental design, experimental science, multivariate statistics, prediction, propensity scoring, quantitative biology, quantitative ecology, reproducible research, rhetorical mathematics, rhetorical science, rhetorical statistics, science, statistical ecology, statistical models, statistical regression, statistics
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Reanalysis of business visits from deployments of a mobile phone app
Updated, 20th October 2020 This reports a reanalysis of data from the deployment of a mobile phone app, as reported in: M. Yauck, L.-P. Rivest, G. Rothman, “Capture-recapture methods for data on the activation of applications on mobile phones“, Journal … Continue reading
Posted in Bayesian computational methods, biology, capture-mark-recapture, capture-recapture, Christian Robert, count data regression, cumulants, diffusion, diffusion processes, Ecological Society of America, ecology, epidemiology, experimental science, field research, Gibbs Sampling, Internet measurement, Jean-Michel Marin, linear regression, mark-recapture, mathematics, maximum likelihood, Monte Carlo Statistical Methods, multilist methods, multivariate statistics, non-mechanistic modeling, non-parametric statistics, numerics, open source scientific software, Pierre-Simon Laplace, population biology, population dynamics, quantitative biology, quantitative ecology, R, R statistical programming language, sampling, sampling algorithms, segmented package in R, statistical ecology, statistical models, statistical regression, statistical series, statistics, stepwise approximation, stochastic algorithms, surveys, V. M. R. Muggeo
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Censorship of Science by the administration of President Donald Trump
See work by the Columbia Sabin Center for Climate Change Law. … President Trump has directed EPA and DOI to reconsider regulations adopted to control greenhouse gas emissions, despite the wealth of data showing that those emissions are the key … Continue reading
Posted in American Association for the Advancement of Science, an ignorant American public, an uncaring American public, anti-intellectualism, anti-science, Azimuth Backup Project, citizen data, Climate Science Legal Defense Fund, Donald Trump, dump Trump, Ecological Society of America, environmental law, epidemiology, global blinding, Neill deGrasse Tyson, open data, rationality, reason, reasonableness, science, secularism, The Demon Haunted World, the right to be and act stupid, the right to know, the tragedy of our present civilization, tragedy of the horizon, unreason
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“All of Monsanto’s problems just landed on Bayer” (by Chris Hughes at Bloomberg)
See Chris Hughes’ article. Monsanto has touted Roundup (also known as Glyphosate but more properly as ) as a safe remedy for weed control, often in the taming of so-called “invasive species”. It’s used on playfields where children are exposed … Continue reading
Posted in agroecology, an uncaring American public, business, corporate responsibility, ecology, Ecology Action, environment, environmental law, epidemiology, evidence, invasive species, open data, Peter del Tredici, quantitative biology, quantitative ecology, rights of the inhabitants of the Commonwealth, risk, statistics, sustainability, sustainable landscaping, the right to know, Uncategorized, unreason, Westwood
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“Will climate change bring benefits from reduced cold-related mortality? Insights from the latest epidemiological research”
From RealClimate, and referring to article in Lancet : Guest post by Veronika Huber Climate skeptics sometimes like to claim that although global warming will lead to more deaths from heat, it will overall save lives due to fewer deaths from … Continue reading
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