A reminder that the hearing of ACCR's greenwashing claims against Santos Ltd will commence in the Federal Court of Australia today, Monday 28 October 2024. The three week hearing will be livestreamed here: youtube.com/watch?app=deskto… Tune in. (background: accr.org.au/news/greenwashin…)
Dream funded !!research only!! PhD position going @IIASAVienna & @BOKUvienna this year with @shonali_p, others and I. Would suit someone interested in #inequality and #wellbeing. Take a look! Details in reply below.
New large open-access dataset featuring surveys of households and SMEs across three Nigerian 🇳🇬 geopolitical zones. Covers a range of topics from energy access, appliances and cookstoves to preferences, trust and gender. Sampled from grid-electrified rural and peri-urban regions.
tidylog (github.com/elbersb/tidylog/) by @elbersb is incredibly useful for data processing with dplyr / tidyr, especially when writing complex joins. You can also change the log display colour to avoid confusing this with warnings / errors.
Burna boy laying down real lines on this new album. open.spotify.com/track/4DPvM…
Propagandhi. I got here late, but I'm glad I made it. youtu.be/CqWsreZl_dw
Inspiring and important International Energy Workshop keynote delivered by @shonali_p, drawing from extensive work @IIASAVienna on #equity, #access and #climate.
❌We use a linear probability model to link total expenditures as a proxy for income with the likelihood that households considered served by the current indicators also achieve each individual AF dimension: Poorer SDG7.1 households appear worse off across the board.
❌We show that the current indicators for SDG7.1 mask inequities in supply, use and affordability for both clean cooking and electricity access.👇🏽Grey bars are current aggregates, and the inset's indicate the share of these households that also satisfy each AF dimension.
📊We align multi-dimensional indicators with the actual SDG7.1 target wording for both electricity and clean cooking: "by 2030 ensure universal access to affordable, reliable, and modern energy services".
This builds on the prior work of my co-authors - bit.ly/3lT0w4j
#datawrangling wide survey data (name+group columns) has become amazingly easy in the #tidyverse. See the before after images and this code: pivot_longer(cols = -HHID, names_pattern = "(.+)_(\\d+)", names_to = c(".value", "set")) Credit: bit.ly/3bMnBRt #rstats











