
Distributed Solar: The Democratizaton of Energy

Blogroll
- 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
- 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/
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- "Perpetual Ocean" from NASA GSFC
- John Cook's reasons to use Bayesian inference
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- American Statistical Association
- BioPython A collection of Python tools for quantitative Biology
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Mrooijer's Numbers R 4Us
- 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/
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- "Talking Politics" podcast David Runciman, Helen Thompson
- Earle Wilson
- distributed solar and matching location to need
- Patagonia founder Yvon Chouinard on how businesses can help our collective environmental mess Patagonia’s Yvon Chouinard set the standard for how a business can mitigate the ravages of capitalism on earth’s environment. At 81 years old, he’s just getting started.
- The Alliance for Securing Democracy dashboard
- Awkward Botany
- 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.”
- Gavin Simpson
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Comprehensive Guide to Bayes Rule
- Hermann Scheer Hermann Scheer was a visionary, a major guy, who thought deep thoughts about energy, and its implications for humanity’s relationship with physical reality
- Slice Sampling
- Dollars per BBL: Energy in Transition
- 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
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- Subsidies for wind and solar versus subsidies for fossil fuels
- 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.
- Number Cruncher Politics
- Harvard's Project Implicit
- Professor David Draper
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- 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.
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- Higgs from AIR describing NAO and EA Stephanie Higgs from AIR Worldwide gives a nice description of NAO and EA in the context of discussing “The Geographic Impact of Climate Signals on European Winter Storms”
- Ted Dunning
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- Label Noise
- Ives and Dakos techniques for regime changes in series
- All about models
- 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.
- Carl Safina's blog One of the wisest on Earth
climate change
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- David Appell's early climate science
- Nick Bower's "Scared Scientists"
- Risk and Well-Being
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- MIT's Climate Primer
- Wally Broecker on climate realism
- Warming slowdown discussion
- Spectra Energy exposed
- "Mighty Microgrids" Webinar This is a Webinar on YouTube about Microgrids from the Institute for Local Self-Reliance (ILSR), featuring New York State and Minnesota
- RealClimate
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- The Scientific Case for Modern Human-caused Global Warming
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- An open letter to Steve Levitt
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- James Powell on sampling the climate consensus
- Climate Change Denying Organizations
- “Ways to [try to] slow the Solar Century''
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- "Getting to the Energy Future We Want," Dr Steven Chu
- Earth System Models
- Sea Change Boston
- “The discovery of global warming'' (American Institute of Physics)
- On Thomas Edison and Solar Electric Power
- 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.
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- Jacobson WWS literature index
- Social Cost of Carbon
- 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.
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- Reanalyses.org
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- Berkeley Earth Surface Temperature
- Isaac Held's blog In the spirit of Ray Pierrehumbert’s “big ideas come from small models” in his textbook, PRINCIPLES OF PLANETARY CLIMATE, Dr Held presents quantitative essays regarding one feature or another of the Earth’s climate and weather system.
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- 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.
- Climate model projections versus observations
- Interview with Wally Broecker Interview with Wally Broecker
- 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
- 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
- Skeptical Science
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- Jacobson WWS literature index
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
Archives
Jan Galkowski
Category Archives: causal inference
“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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“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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