OUT NOW: Transition Minerals Tracker 2022 update 🌍
We've tracked 510 allegations of human rights abuse linked to extraction of 6 minerals essential for the energy transition: cobalt, copper, lithium, manganese, nickel & zinc. This year's key findings 🧵
https://t.co/dNNmxjOVfP
Ever needed to get data from a PDF, but your only option was to do it manually? No more! here is one way you can use R to get your data right out of PDF files: https://t.co/0X9pcsNKKz
🚨 #Battery Raw Material Prices: Mitigating risk amid high and volatile prices in 2022
Join @benchmarkmin's expert team to talk price developments and drivers in #lithium#cobalt#nickel#graphite & more
08.00-08.45: https://t.co/LuQhvbaNtv
15.00-15.45: https://t.co/ax43tPT6Hh
NEW | #Myanmar is now the world's biggest supplier of heavy rare earth minerals - crucial for the production of electric cars, wind turbines and electronics.
Demand for these minerals is harming people and planet, and could prop up the 🇲🇲 military junta. https://t.co/Nnw9uUCpRt
Would you like to learn more about democracy?
Try our new Democracy Data Explorer!
https://t.co/danupJoMt5
It provides several hundred interactive visualizations from eight leading democracy datasets.
A 🧵about what it includes:
A decent compliment of 2020 company data in the NOC Database now to answer this question.
Low oil prices of 2020 feel like an age ago now, but NOC responsiveness to market decline will be key as the energy transition unfolds.
https://t.co/Gt7deLdvQo
❓ How did national #oil companies respond to the 2020 price decline?
Find out in this new post by @anna_flem with findings from the latest update of NRGI's National #Oil Company Database (https://t.co/K77XfZCQd2) ➡️ https://t.co/6ZOLW33Yda
❓ How did national #oil companies respond to the 2020 price decline?
Find out in this new post by @anna_flem with findings from the latest update of NRGI's National #Oil Company Database (https://t.co/K77XfZCQd2) ➡️ https://t.co/6ZOLW33Yda
Great working alongside @aalbarranc on this update
Lastly, we use https://t.co/58ugL4ZKPP loads in our work
@NRGInstitute & love to connect with anyone using it in their work (questions and critiques equally welcome!)
Contract direct or [email protected]
🌟Fresh data in at https://t.co/6De5FHn9PO 🌟
Totally free, standardized and contextualized data about 71 national oil companies #NOC.
We ran some analysis on this half-yearly update. Find it at https://t.co/DsQxAjmD4e or in the NRGI thread below.
🛢️ Just released: NRGI’s update of its National #Oil Company Database (https://t.co/K77XfZCQd2).
NRGI researchers semiannually update this free database of 71 #NOCs, now with 10 years of data.
More analysis of the mid-year update in this thread 🧵 ⤵️
Love this accessible step by step to using all the layers of the @databarometer ... inspo for anyone producing an index/assessment/database/scoreboard!
♥️💪 "With the .csv file—you now have the power to ask the data, your own questions."
Cool extractives data opportunity open to organizations or individuals in Ghana, Liberia, Nigeria, Senegal and Zambia.
Propose your idea for how to use beneficial ownership data! 💡
Help @OpenOwnership + @EITIorg increase beneficial ownership data analysis in the extractives sector across Africa https://t.co/Njgta4MCSc
Open to applicants from Ghana, Liberia, Nigeria, Senegal and Zambia.
Budget = $10k to $25k USD
Apply by 1 June 2022
#OpeningExtractives
On 2 May, join the opening session on critical #minerals as part of the @OECD_BizFin Forum on Responsible Mineral Supply Chains.
The event will feature NRGI's @acgillies, IEA's @fbirol, EITI's @Mark_EITI & other experts.
Register 👉 https://t.co/dhncWMG6iJ #OECDrbc
30 yrs of coverage and over 3,000 data points. Great for country analysis, but comes with big reminder that this data is slow to surface... count of countries with data available in 2014 = 77 ↘️ 2017 = 61 ↘️ 2020 = 18.
Refreshed dataset on government revenues from natural resources now available on @NRGInstitute data website
#extractives#opendata
https://t.co/C1DyZ9jWel
Several sources for total government revenues from oil, gas and mining are available.... this dataset simply
����compiles
🧹cleans
🌐contextualizes
And allows for easy comparison