Data Explorer Mission, Team 9

April 20, 2013
Facilitator for this week: Murray

Attendees
Apologies: Deborah, Iva

SUMMARY:
Today's meeting we brainstormed questions that could be answered using this dataset (possibly in combination with other available data).

Key questions emerging:
* The long story: How have countries' carbon emissions changed over time?
* The personal story: How do individual vs industrial emissions and consumption rates measure up?
* Story within a story: Can we drill down into the stories of certain economies that have had an extreme change in their emissions profile over a longer period of time? (E.g. through policy change, sudden crisis/conflict, or sustained economic growth)?
* The hidden story: Is it possible to map out how certain countries 'externalise' their carbon emissions - e.g. by outsourcing manufacturing to another country?

Various other interesting questions were brainstormed - these received the most number of +1s

Next steps
- Next week we will focus on how to clean the data that is available. 
- Each week we will cycle through questions and present them to one another
- We will have a rotating facilitation each week.

Additional Data: Miska and co. have provided an excellent list of possible datasets at the end of the notes.

#ends#

Full notes
Questions from Data Team 9:

Iva: 
Concerning population:
  1. How about checking whether and how the age of the population is related to the CO2 emissions in the countries that are winners in “almost not polluting” for example in Europe and Africa (hope I’m not wrong, but we are all from countries from these two continents);
  2. Can we check whether the size of the population matters for the CO2 emissions in the countries that are not really polluting (though probably this is done many times); +1
Concerning the nature (environment) in these countries:
  1. Whether natural resources such as huge mountainous areas (for example) within the boundaries of a certain country may be a factor in reducing the CO2 emissions. Which are the geographical regions that emit less CO2?
  2. Concerning the type and size of the industries – what are the industries presented in the countries that emit less CO2.

Murray
Emissions per capita--every citizen carries the burden of x or y emission and changes the way the burden is carried

Heidi

Vanessa

Munya

We want to drill down into specific countries' stories, have their been preventitive measures, on a country-to-country level, different stories that we can tell there

Vanessa: Next steps:


Murray : How have per-capita emissions changed over past 10 years? (I keep seeing an infographic of fat peope and thin people from different economies) :)
Vanessa: There are extreme highs and lows / swings in the data here. Can we look at the extremities and put some political / historical / economic context around 2 countries--both high and low--and see what led to those events? +1
Munya: how can African countries keep their emissions low as they industrialise? (Analysing trends of industrialisation vs emissions over past years)
While China is listed as one of the highest emissions rate, other countries who are manufacturing their products there are contributing to China's burden - would be interesting to map
David



Miska:
- What does the private vs. industrial CO2 / energy consumption look like? 
+1 (murray) - this could be v interesting
- Heidi: +1 (yeah, this debate is going on in Finland right now)
Might a country have high CO2 emissions due to private or more industrial CO2 outlets. 
- Would be quite interesting to see how much of CO2 emissions are due to industrial production that is then exported to other countries. For example, how much of the West's CO2 production is "outsourced" to other parts of the world? 




Original p2pu provided CO2 data:

https://docs.google.com/spreadsheet/ccc?key=0AqwLVP6U7FhDdEZKa1pqa3VhbmkyWkF2Q2IxcnhtWHc#gid=1


Possible Data: 


Miska:
Just some possibly relevant data from the World Bank and the International Energy Agency:

Gapminder:
CO2 emissions correlated with lots of other data:
( the data has been collected from the World Bank and a variety of other sources)
http://www.gapminder.org/world/#$majorMode=chart$is;shi=t;ly=2003;lb=f;il=t;fs=11;al=21;stl=t;st=t;nsl=t;se=t$wst;tts=C$ts;sp=6;ti=1820$zpv;v=0$inc_x;mmid=XCOORDS;iid=phAwcNAVuyj1jiMAkmq1iMg;by=ind$inc_y;mmid=YCOORDS;iid=phAwcNAVuyj1gkNuUEXOGag;by=ind$inc_s;uniValue=8.21;iid=phAwcNAVuyj1NHPC9MyZ9SQ;by=ind$inc_c;uniValue=255;gid=CATID0;iid=pyj6tScZqmEfbZyl0qjbiRQ;by=grp$map_x;scale=log;dataMin=294;dataMax=76977$map_y;scale=lin;dataMin=-1.2196;dataMax=26$map_s;sma=58;smi=1$cd;bd=0$inds=;example=6


Other Possible data sources:
Miska: http://data.worldbank.org/topic
Murray +1

World bank - climate change related data sets ( via world bank ):
http://data.worldbank.org/topic/climate-change

Population data from each country, ( via the world bank ):
http://data.worldbank.org/indicator/SP.POP.TOTL

Urban population ( via world bank )
http://data.worldbank.org/indicator/SP.URB.TOTL

GPD levels ( world bank)
http://data.worldbank.org/indicator/NY.GDP.MKTP.CD

Electrical power consumption ( via world bank + iea )
http://data.worldbank.org/indicator/EG.USE.ELEC.KH.PC

Energy use( kg of oil equivalent per capita) 
(i've still to understand what this measure actually means…)
(via the world bank  + iea )
http://data.worldbank.org/indicator/EG.USE.PCAP.KG.OE

Road sector energy consumption ( via world bank and iea )
http://data.worldbank.org/indicator/IS.ROD.ENGY.ZS

Road sector gasoline consumption ( via world bank and iea )
http://data.worldbank.org/indicator/IS.ROD.SGAS.PC

Passenger cars  ( per 1000 people ) ( via world bank )
http://data.worldbank.org/indicator/IS.VEH.PCAR.P3

Exports of goods & services ( via world bank )
http://data.worldbank.org/indicator/NE.EXP.GNFS.ZS