Category Archives: smart data

The Azimuth Climate Data Backup Project, in association with ClimateMirror

(Updated the afternoon of 3rd February 2017.) The Azimuth Climate Data Backup Project, operating in association with ClimateMirror, is being funded via the Kickstarter available at this link. Give what you can. Thanks! See our goal statement. This is all … Continue reading

Posted in American Association for the Advancement of Science, citizen science, civilization, climate, climate change, climate data, climate disruption, climate education, climate justice, Climate Lab Book, cynicism, denial, Donald Trump, education, EIA, ethics, evidence, fear uncertainty and doubt, forecasting, fossil fuels, Global Carbon Project, global warming, greenhouse gases, Hyper Anthropocene, leaving fossil fuels in the ground, NASA, NOAA, open data, open source scientific software, rationality, reason, reasonableness, risk, science, science denier, science education, smart data, statistics, the right to know, the tragedy of our present civilization, UU, ``The tide is risin'/And so are we'' | Leave a comment

Energy Consumption with Air Source Heat Pumps and Water Heater

Once nice thing about having a net metered solar PV array is that, with a little diligence, you can figure out how much electricity your household is consuming each day, or at finer resolution if you like (*). Below is … Continue reading

Posted in Anthropocene, Bloomberg New Energy Finance, clean disruption, CleanTechnica, climate economics, conservation, consumption, decentralized electric power generation, decentralized energy, demand-side solutions, efficiency, energy reduction, engineering, global warming, Hyper Anthropocene, ISO-NE, local self reliance, New England, smart data, solar democracy, solar domination, solar energy, statistics, time series, Tony Seba, zero carbon | Leave a comment

Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION: A Review

(Revised and updated Monday, 24th October 2016.) Weapons of Math Destruction, Cathy O’Neil, published by Crown Random House, 2016. This is a thoughtful and very approachable introduction and review to the societal and personal consequences of data mining, data science, … Continue reading

Posted in citizen data, citizen science, citizenship, civilization, compassion, complex systems, criminal justice, Daniel Kahneman, data science, deep recurrent neural networks, destructive economic development, economics, education, engineering, ethics, Google, ignorance, Joseph Schumpeter, life purpose, machine learning, Mathbabe, mathematics, mathematics education, maths, model comparison, model-free forecasting, numerical analysis, numerical software, open data, optimization, organizational failures, planning, politics, prediction, prediction markets, privacy, rationality, reason, reasonableness, risk, silly tech devices, smart data, sociology, Techno Utopias, testing, the value of financial assets, transparency | Leave a comment

NextGen VOICES: `On data’, `On setbacks’, and `On discovery’

Science Magazine has a periodic column called Science in brief and occasionally that column features a set of what they call “NextGen VOICES”, meaning young scientists. They gather the survey using Twitter (of course) via the hashtag #NextGenSci. For the … Continue reading

Posted in American Association for the Advancement of Science, big data, data science, evidence, Mathbabe, maths, maxims, science, Science magazine, smart data, statistics | Leave a comment

An Energy Revolution

Professor Mara Prentiss speaks at Harvard on the possibility of an “energy revolution”: Update, 2016-08-16 Although I am not a PhD professor like Professor Prentiss, nor am I associated with an institution as esteemed as Harvard University, I disagree with … Continue reading

Posted in adaptation, Anthropocene, Bloomberg New Energy Finance, BNEF, clean disruption, climate change, climate disruption, decentralized electric power generation, decentralized energy, demand-side solutions, destructive economic development, disruption, distributed generation, ecology, electricity, electricity markets, energy, energy storage, energy utilities, engineering, fossil fuel divestment, global warming, green tech, greenhouse gases, grid defection, Hermann Scheer, Hyper Anthropocene, investment in wind and solar energy, Joseph Schumpeter, leaving fossil fuels in the ground, Mark Jacobson, Massachusetts Clean Energy Center, Michael Osborne, microgrids, public utility commissions, PUCs, Sankey diagram, smart data, solar domination, solar energy, solar power, Spaceship Earth, stranded assets, sustainability, the energy of the people, the green century, the right to be and act stupid, the right to know, the tragedy of our present civilization, the value of financial assets, Tony Seba, utility company death spiral, wind energy, wind power, zero carbon | Leave a comment

“Holy crap – an actual book!”

Originally posted on mathbabe:
Yo, everyone! The final version of my book now exists, and I have exactly one copy! Here’s my editor, Amanda Cook, holding it yesterday when we met for beers: Here’s my son holding it: He’s offered…

Posted in American Association for the Advancement of Science, Buckminster Fuller, business, citizen science, citizenship, civilization, complex systems, confirmation bias, data science, data streams, deep recurrent neural networks, denial, economics, education, engineering, ethics, evidence, Internet, investing, life purpose, machine learning, mathematical publishing, mathematics, mathematics education, maths, moral leadership, multivariate statistics, numerical software, numerics, obfuscating data, organizational failures, politics, population biology, prediction, prediction markets, privacy, quantitative biology, quantitative ecology, rationality, reason, reasonableness, rhetoric, risk, Schnabel census, smart data, sociology, statistical dependence, statistics, the right to be and act stupid, the right to know, the value of financial assets, transparency, UU Humanists | Leave a comment

A model of an electrical grid: A vision

Many people seem to view the electrical grid of the future being much like the present one. I think a lot about networks, because of my job. And I especially think a lot about network topologies, although primarily concerning the … Continue reading

Posted in abstraction, American Meteorological Association, anomaly detection, Anthropocene, Bloomberg New Energy Finance, BNEF, Boston, bridge to somewhere, Buckminster Fuller, Canettes Blues Band, clean disruption, climate business, climate economics, complex systems, corporate supply chains, decentralized electric power generation, decentralized energy, demand-side solutions, differential equations, distributed generation, efficiency, EIA, electricity, electricity markets, energy, energy reduction, energy storage, energy utilities, engineering, extended supply chains, green tech, grid defection, Hermann Scheer, Hyper Anthropocene, investment in wind and solar energy, ISO-NE, Kalman filter, kriging, Lawrence Berkeley National Laboratory, leaving fossil fuels in the ground, Lenny Smith, local generation, marginal energy sources, Massachusetts Clean Energy Center, Mathematics and Climate Research Network, mesh models, meteorology, microgrids, networks, New England, New York State, open data, organizational failures, pipelines, planning, prediction markets, public utility commissions, PUCs, rate of return regulation, rationality, reason, reasonableness, regime shifts, regulatory capture, resiliency, risk, Sankey diagram, smart data, solar domination, solar energy, solar power, Spaceship Earth, spatial statistics, state-space models, statistical dependence, statistics, stochastic algorithms, stochastics, stranded assets, supply chains, sustainability, the energy of the people, the green century, the value of financial assets, thermodynamics, time series, Tony Seba, utility company death spiral, wave equations, wind energy, wind power, zero carbon | Leave a comment

data.table

R provides a helpful data structure called the “data frame” that gives the user an intuitive way to organize, view, and access data.  Many of the functions that you would us… Source: Intro to The data.table Package

Posted in big data, data science, engineering, numerical analysis, numerical software, numerics, open source scientific software, R, smart data, statistics | Leave a comment

On Smart Data

One of the things I find surprising, if not astonishing, is that in the rush to embrace Big Data, a lot of learning and statistical technique has been left apparently discarded along the way. I’m hardly the first to point … Continue reading

Posted in Akaike Information Criterion, Bayes, Bayesian, Bayesian inversion, big data, bigmemory package for R, changepoint detection, data science, data streams, dlm package, dynamic generalized linear models, dynamic linear models, dynamical systems, Generalize Additive Models, generalized linear models, information theoretic statistics, Kalman filter, linear algebra, logistic regression, machine learning, Markov Chain Monte Carlo, mathematics, mathematics education, maths, maximum likelihood, MCMC, Monte Carlo Statistical Methods, multivariate statistics, numerical analysis, numerical software, numerics, quantitative biology, quantitative ecology, rationality, reasonableness, sampling, smart data, state-space models, statistical dependence, statistics, the right to know, time series | Leave a comment