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Big Data and Me

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Talk given to Touro College's Leadership in Digital Technology innovation course, April 22nd 2013
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Big Data and Me: experiences from the front line Sara-Jayne Farmer Change Assembly April 22 nd 2013
Transcript
Page 1: Big Data and Me

Big Data and Me: experiences from the front line

Sara-Jayne FarmerChange Assembly

April 22nd 2013

Page 2: Big Data and Me

ME

Page 3: Big Data and Me

Me

• Data Scientist

• Using data to:– connect communities – improve access to information – so people can make better decisions– on both small and large scales

• It’s all about people:– Local people: know their needs; need more information– Local technologists: have skills; need connections– Large organisations: have resources; need guidance

Page 4: Big Data and Me

Some of those People

(smart, talented, dedicated hackers in Haiti, January 2013)

Page 5: Big Data and Me

My Personal Three Vs

• Variety– Data all over the place– Csv, json, xml, excel, pdf, text, webpages, rss, scanned pages, images,

videos, audiofiles, maps, proprietary. Etc.

• Velocity– Streams updating too fast for a mapping team (100-200 people) to

handle– Pages updating too frequently to check by hand

• Volume– Can’t open the data in a spreadsheet– Can’t fit the data on my laptop– Maxes out my credit card (thank you Amazon!)

Page 6: Big Data and Me

VARIETY

Page 7: Big Data and Me

“more people have mobile phones than toilets”– UN, March 2013

Page 8: Big Data and Me

But… but… there are always data issues…

• Datasets were difficult to find• No data available after 2010• Hard to track provenance – e.g. what decisions did

the people creating these datasets make? What assumptions?

• Data was rounded up• Countrynames didn’t match between sets• Multiple charactersets (e.g. Å, A, Ԇ)• Messy formatting (merges, ‘explanations’ etc)

Page 9: Big Data and Me

e.g. Country Names

DR Congo in Data.UN.Org:

• “Congo, Democratic Republic of the”, “Congo Democratic”, “Democratic Republic of the Congo”, “Congo (Democratic Republic of the)”, “Congo, Dem. Rep.”, “Congo Dem. Rep.”, “Congo, Democratic Republic of”, “Dem. Rep. of Congo”, “Dem. Rep. of the Congo”

DR Congo in common standards:

• “Democratic Republic of the Congo” (UN Stats), “Congo, The Democratic Republic of the” (ISO3166), “Congo, Democratic Republic of the” (FIPS10, Stanag), “180” (UN Stats), “COD” (ISO3166, Stanag), “CG” (FIPS10)

Page 10: Big Data and Me

And coding

Page 11: Big Data and Me

And interpretation

• Hang on… don’t some people have more than one phone?

• And how do you count the people without toilets?• What if the cities have lots of phones and toilets, and

the rural areas don’t? • Where does my composting toilet fit in this?• How big were these surveys?• What do we do with the zeros?• Etc…

Page 12: Big Data and Me

And purpose

Page 13: Big Data and Me

And Communication

Page 14: Big Data and Me

And Alternative Data Sources

Page 15: Big Data and Me

And alternative alternatives…

• Social media proxies• Grassroots maps• Etc.

Page 16: Big Data and Me

VELOCITY AND VOLUME

Page 17: Big Data and Me

2013 Boston bombings

Page 18: Big Data and Me

The Humans+Tools Solution: Crisismapping

Page 19: Big Data and Me

Find…

Page 20: Big Data and Me

Listen…

Page 21: Big Data and Me

Estimate…

Page 22: Big Data and Me

Geolocate…

Page 23: Big Data and Me

Create maps…

Page 24: Big Data and Me

Analyse

Page 25: Big Data and Me

Explain

Page 26: Big Data and Me

Use

Page 27: Big Data and Me

BUT WE NEED MORE DATA SCIENTISTS…

Page 28: Big Data and Me

Build and Connect Communities

Page 29: Big Data and Me

Train Non-Techies

Page 30: Big Data and Me

Create Higher-level Tools

Page 31: Big Data and Me

Big Data and Me: experiences from the front line

Sara-Jayne Farmerhttp://www.changeassembly.com/

@bodaceacat

Page 32: Big Data and Me

MORE REFERENCES

Page 33: Big Data and Me

strataconf.com

Page 34: Big Data and Me

datasciencecentral.com

Page 35: Big Data and Me

analytictalent.com

Page 36: Big Data and Me

Tools

Page 37: Big Data and Me

Formal (Free) Training

Page 38: Big Data and Me

NYC Meetups (see meetup.com)

Page 39: Big Data and Me

Volunteering: datakind.org


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