On Languages and Sharing (open data), Eliana Trinaistic & Veronica Costea
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This document discusses how open data can benefit the language industry. It begins with background on open data and examples of organizations working with open data. It then discusses challenges social purpose organizations in the language industry face in measuring their impact and how open data sharing can help with strategic clarity, effective advocacy, efficient planning and measurable outcomes. The document concludes by discussing the importance of collaboration and building trust to effectively use open data and advocating for language rights.
On Languages and Sharing (open data), Eliana Trinaistic & Veronica Costea
- 1. How Open Data Can Benefit the Language Industry Eliana Trinaistic Veronica Costea MCIS Language Solutions On Languages and Sharing:
- 2. TABLE OF CONTENTS: 1 2 3 4 Background - what is OPEN DATA anyway? Social Purpose Organizations & the Language Industry – challenges and opportunities Open Data And the Language Industry – what is in it for you? Conversations & Collaborations – language advocacy in the Age of Disruption 02
- 3. 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
- 4. 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 America June 4th - National Hacking Day Achievements: 1. Public data defined by law 2. Freedom of information acts Challenges: 1. Demand and supply 2. Wikileaks
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- 6. Open data/ big data Google Trends http://www.google.com/trends/explor e#q=languages Facebook API Graphs https://developers.facebook.com/docs/g raph-api Open Data Institute https://en.wikipedia.org/wiki/Open_Data_Institute Linked Science http://linkedscience.org/about Academia.edu Socrata.com Datathons Linked Open Data (LOD) http://datathon.lider-project.eu/ LEMON -http://lemon-model.net/ Civic Tech (hackathons) Coding literacy Government Data.gov http://data.gov EU Open Data Portal – http://open-data.europa.eu/en/data/ open.canada.ca 05
- 7. Social Purpose Organizations & The Language Industry “You can’t manage what you don’t measure.” Peter Drucker 07
- 8. Changing Lives One Word at a Time
- 9. 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 thing But 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?
- 10. Interpreting for access to critical services Translation for access to critical information THEORY OF CHANGE 1. Emergencies and risks 2. Health and welfare 3. Education 4. Transportation 5. Economic opportunities, including job information, job training, and small business assistance 6. The environment, including air and water quality and access to recreation; 7. Civic information and legal information, including rights, protections and obligations 8. Political information, including relevant public policy initiatives affecting communities and neighborhood. (Friedland, Napoli, Ognyanova and Wilson).
- 11. 38 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?
- 12. 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-Lee45
- 13. 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,
- 14. 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
- 15. Conversations and collaborations - language advocacy in the Age of Disruption 33
- 16. 36 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 3
- 17. Framing the compelling issue Cross-sector conversation & cross-movement hubs Grassroot 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 06 08 Insufficient research (gaps), timing, biases and assumptions RISKS: Tolerating opposition, not knowing, letting go Three Things Great Data Storytellers Do Differently 1. 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.
- 19. SOCIAL IMPACT OF TRANSLATION COMMITTEE
- 20. HEAT MAP: GTA Language Services Use Hunger Count 2015 UPCOMING
- 21. 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
- 23. Thank you! Follow MCIS Language Solutions: 07
- 24. 29 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, 2016 4. 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
Editor's Notes
- #5: Open data - the idea that some data should be freely available to everyone to use and republish as they wish, without restrictions from copyright, patents or other mechanisms of control
- #6: Pros and cons Availability: Open source tools offer approaches within shared ecosystem to solve problems that make it faster to build solutions quickly. Innovation: The lack of vendor lock-in =developer community continuously updating tools, collaborative workflows and indentifying quick-to-fail projects. Interoperability: ODS embraces a rich ecosystem of compatible open source tools. Transparency: ODS tools facilitate transparency between teams, emphasizing innovations (e.g. Jupyter/IPython notebook) allowing share codes and visualizations. Analytics
- #9: Working in a non-profit language services organization, I don’t need to be reminded that I work to produce social good. I know it in my gut, and I see it in my daily interactions. With every interpretation assignment, with every translation coordinate, we help make life a little easier for someone, ensuring access to a critical piece of information or a critical service that will improve their world one step at a time. Interpretation for victims of domestic/sexual violence Homeless Interpreters4Syria (Ahmed, Zyad,Jackleen) This is the OPPORTUNITY
- #10: Last year, we decided to become more intentional, more focused and targeted about the work that we do, by defining a “Theory of Change” to serve to guide our efforts in removing language barriers over the next 5 years. With a grant from Innoweave, we embarked on a Strategic Clarity Process to help us define the change we want to make in the world. We had to define our beneficiaries and also develop a theory as to how we will achieve the impact we are set off to achieve in their lives. And it was hard! At the core of the problem lies the fact that we are mediators. Just as interpreters mediate between persons, translators mediate the transfer of messages, we, as a company mediate between our customers (e.g. hospitals, courts, police shelters etc.) and the community we jointly serve – non-English speakers (allophones).
- #12: So as we embark on this process in the months to come, we have one big problem to solve, because for now we don’t know how we’ll know we will have achieved what we set out to do. Why? Because we work as mediators – small scale (interpreter/translator) and large scale (as a company). We are helpers/enablers – enabling others to do their work, and achieving our intended impact in an indirect way, through our customers/service providers/partners. Our impact is always shared with the sp who provides the service. It’s defined negatively – as what would happen if there wasn’t interpretation/translation available. But we don’t know how and to what extent we are making a difference. And ultimately, when you are a social purpose organization that’s what you want to do – produce social good, improve lives, make the world a better place. And when you have limited resources, you want to use them in a way that is most efficient, meaning achieving the biggest possible impact. But you can’t manage what you can’t measure. In comes OPEN DATA