On Languages and Sharing (open data), Eliana Trinaistic & Veronica Costea

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How Open Data Can Benefit the Language Industry Eliana Trinaistic Veronica Costea MCIS Language Solutions On Languages and Sharing:

Transcript of On Languages and Sharing (open data), Eliana Trinaistic & Veronica Costea

Page 1: On Languages and Sharing (open data), Eliana Trinaistic & Veronica Costea

How Open Data Can Benefit the Language Industry

Eliana TrinaisticVeronica Costea

MCIS Language Solutions

On Languages and Sharing:

Page 2: On Languages and Sharing (open data), Eliana Trinaistic & Veronica Costea

TABLE OF CONTENTS:

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Background - what is OPEN DATA anyway?Social Purpose Organizations & the Language Industry – challenges and opportunitiesOpen Data And the Language Industry – what is in it for you?Conversations & Collaborations – language advocacy in the Age of Disruption02

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What is OPEN DATA anyway?”It is moving from the tyranny of the expert to the wisdom of the

crowd.” Emer Coleman, Government Digital Service 

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IMAGE: Reprinted from Open Data Now under a Creative Commons Attribution Sharealike License

WHEN WHO WHAT

1942 Robert King Merton (1910-2003)

Benefits of open scientific data, contributing to the commons giving up IP for knowledge to move forward

2009 Elinor Ostrom (1933-2012)

2009 Nobel Prize for analysis of commons, design of common pool resources (CPR) institutions based on trust and reciprocity; Ostrom's Law

2007 - 2012

Tim O’Reilly  

Lawrence Lessig

Adrian Holovaty Tom Steinberg 

“open source”, Web 2.0 (2004), Web 2.0 Summit 2006-2011, Gov.2.0

2001 Creative Commons (copyleft), “free culture”, Net neutrality, critic of copyright extensions (Killswitch ,2014 featuring Lessig, Aaron Swartz, Edward Snowden) 

mySociety (2001, civic tech coding), FixMyStreet (2009)

2013-2016

Open Data Movement

Code for AmericaJune 4th - National Hacking Day

Achievements:1. Public data

defined by law2. Freedom of

information acts

Challenges:1. Demand and

supply2. Wikileaks

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Open data/

big data

Google Trends http://www.google.com/trends/explore#q=languages

Facebook API Graphs https://developers.facebook.com/docs/graph-api

Open Data Institute https://en.wikipedia.org/wiki/Open_Data_Institute

Linked Science http://linkedscience.org/about Academia.edu

Socrata.com

DatathonsLinked Open Data (LOD)

http://datathon.lider-project.eu/ LEMON -http://lemon-model.net/

Civic Tech (hackathons)

Coding literacy

GovernmentData.gov http://data.gov

EU Open Data Portal – http://open-data.europa.eu/en/data/open.canada.ca

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Social Purpose Organizations &

The Language Industry

“You can’t manage what you don’t measure.” Peter Drucker

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Changing Lives One Word at a Time

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What is the change we want to bring about in the world? /

What is our Theory of Change?

How are we relevant?

What we knew: • We remove language

barriers• Removing language

barriers is a good thingBut we had tons of

questions:Who are our beneficiaries?

What do we do to help them?

What is the outcome of the work we do?

How can we measure our impact?

How do we focus our work?

How do we know we are doing the right thing?

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Interpreting for access to critical services

Translation for access to critical information

THEORY OF CHANGE

1. Emergencies and risks2. Health and welfare3. Education4. Transportation5. Economic opportunities, including job information, job training, and small business assistance6. The environment, including air and water quality and access to recreation; 7. Civic information and legal information, including rights, protections and obligations8. Political information, including relevant public policy initiatives affecting communities and neighborhood. (Friedland, Napoli, Ognyanova and Wilson).

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But how do we know we’ve accomplished what we set out to do?

Possible metrics:• Number of people actually served• Languages needed/geographies• Outcome of interpretation encounter• Number of people reached by translated

documents• Gaps in service – people not

served/geographies not reached etc.

BUT… Is it even possible? Where do we get all this data?How?

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Open data & the language

profession– what is in it for

you?It's difficult to imagine the power that you're going to have when so many different sorts of data are

available. Tim Berners-Lee

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Strategic Clarity

Effective Advocacy

Efficient Planning

Increased Capacity

Measurable

Outcomes

Who Should Share Data? Why Should We Share Data?

1. Language Service Providers

2. Organizations that need language services to serve their clients and achieve their intended impact

e.g. Governments (local/ national); Police; Hospitals; Schools Boards; Shelters; Food banks; Settlement Agencies; Courts etc,

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Sharing is just the first step…7 Point Model for Effective Data Use (Gurstein, 2011)

Ease of access / Infrastructure for sharing and accessing data Infrastructure for analyzing data Skills/expertise to perform analyses Usable data format (language, geo-coding) Interpretation/sense making – so that data becomes something

that can change people’s lives Advocacy – translating data into action Governance – regulatory/policy regime required to enable use

of data For all of this to happen we need to: BUILD TRUST and CREATE PARTNERSHIPS

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Conversations and

collaborations - language advocacy in the Age of Disruption

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ADVOCATE (n.) –

a technical term from Roman law: "one whose profession is to plead cases in a court of justice", from Latin advocatus "one called to aid; a pleader, advocate,“ related

to vocem (voice ). Also in Middle English as "one who intercedes for another,“ “protector, champion,

patron.”

TRANSLATORS1 INTERPRETERS2 DEAF COMMUNITY

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Framing the compelling

issue

Cross-sector conversation &

cross-movement

hubsGrassroot

power!

One of the most crucial kinds of intervention is in advocacy. We can think about NFPs in the context of delivering services, and indeed that is part of their job, but advocacy is also getting governments to step up to the plate. They should also give more voice to those who don't have one. Nicholas Kristof (human rights journalist)

Emerging leadership vs. legacy,

succession, drifting mission/focus

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Insufficient research (gaps), timing, biases and assumptions

RISKS:

Tolerating opposition, not knowing, letting

go

Three Things Great Data Storytellers Do Differently1. They ANSWER the most important question: So what? 2. They INSPIRE us to ask more questions. 3. They use RIGOROUS ANALYSIS instead of just putting numbers

on a page.

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INFOGR

APHIC

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The Distance between your Dreams and your Reality depends on your

Action!

Adventures in the Data Revolution: When the Data Tells no Story, by Bernard Sabiti and Bill Anderson

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Questions?Comments?

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Literature:1. Brief history of open data - http://www.paristechreview.com/2013/03/29/brief-history-open-data/2. Gurstein, Michael, Open Data: Empowering the Empowered or Effective Use for everyone, February 2011.3. Liacas, T. Mogus, J., Behind Today’s Breakthrough Advocacy Campaigns, Stanford Review of Social Innovation,

Jun. 9, 20164. Ostrom, Elinor (March 1998). 

"A behavioral approach to the rational choice theory of collective action: Presidential address, American Political Science Association, 1997".American Political Science Review (American Political Science Association via JSTOR) 92 (1): 1–22. doi:10.2307/2585925

5. Tanner, L., Obrecht, A., Words of Relief: Translators without Borders’ local language translation for emergencies, Nov 5, 2015

6. Porway, J., TheThree Things Great Data Storytellers Do Differently, SSRI, June, 2016