SlideShare a Scribd company logo
Julie Freeman
@misslake

ODI Art Associate
Senior TED Fellow
School of Electronic Engineering & Computer Science, Queen Mary University of
London

1
Who? — Leadership Team
Gavin Starks CEO
18+ years startup experience
20+ years science, web, media, and data

Sir Tim Berners-Lee

Jeni Tennison CTO
World-leader in open data and linked data
W3C, legislation.gov.uk and data.gov.uk architect

Stuart Coleman VP Market Development
15+ years in commercial tech space
Formerly HP, CA, and AMEE
Sir Nigel Shadbolt
2
A privately owned not-for-profit,
a convening point for:
Public
Private
Academia

3
Mission statement

Catalyse the evolution of open data culture
to create economic, environmental, and social value

4
How? — Communication

Training
Research
Development
Start-up incubator
Art programme

5
5
Cultural data
Data as an art material

– used by artists & creative practitioners

Data that IS cultural media

– moving image, photos, audio, BBC archives, Europeana, etc

Data about the cultural sector
– museums, galleries, audiences

6
Data as an art material
- agenda-free experimentation
- innovation
- constant failure and iteration
- expose what data and data science means and it’s impact on
society
- as more data is opened up, the information it holds must be
reflected back to us from many angles
Artists explore and expose processes
...and understanding process leads to progress

7
Launch of Data as Culture
- Open call for artists: 89 respondents from 20 countries in 2 weeks
- Global coverage (WSJ, main TED conference in LA)
- 3,000+ visitors to the ODI London space
- Significant response from cultural leaders
“You’ve set the agenda for data as culture—so what’s next?”
Honor Harger, Creative Director, Lighthouse Digital Agency

8
Three flames ate the sun, and big stars were seen – Phil Archer ©
Metrography – Bertrand Clerk & Benedikt Groß ©
Body 01000010011011110110010001111001 – Stanza ©
The SKOR Codex – La Société Anonyme ©
20hz – Semiconductor ©
The Obelisk – Fabio Lattanzi Antinori ©
Text Trends – Martin John Callanan ©
Still Lifes and Oscillators 1 – Ben Garrod
Vending Machine – Ellie Harrison ©
Julie Freeman
@misslake

julie.freeman@theodi.org
www.translatingnature.org

theodi.org

18

More Related Content

Viewers also liked

Galef center for fine arts, otis college
Galef center for fine arts, otis collegeGalef center for fine arts, otis college
Galef center for fine arts, otis college
Taiyaba Rashid
 

Viewers also liked (8)

Professional practice notes-jamia millia islamia - 5th year
Professional practice notes-jamia millia islamia - 5th year Professional practice notes-jamia millia islamia - 5th year
Professional practice notes-jamia millia islamia - 5th year
 
Galef center for fine arts, otis college
Galef center for fine arts, otis collegeGalef center for fine arts, otis college
Galef center for fine arts, otis college
 
Sir j.j. school of art, kala mela 2012
Sir j.j. school of art, kala mela 2012Sir j.j. school of art, kala mela 2012
Sir j.j. school of art, kala mela 2012
 
ODI overview
ODI overviewODI overview
ODI overview
 
Romi khosla
Romi khoslaRomi khosla
Romi khosla
 
CASE STUDY F/o FINE ARTS JAMIA DELHI
CASE STUDY F/o FINE ARTS JAMIA DELHICASE STUDY F/o FINE ARTS JAMIA DELHI
CASE STUDY F/o FINE ARTS JAMIA DELHI
 
Tama Art University Case Study and comparison with Peckham Library
Tama Art University Case Study and comparison with Peckham LibraryTama Art University Case Study and comparison with Peckham Library
Tama Art University Case Study and comparison with Peckham Library
 
Yale Art + Architecture Building - Case Study
Yale Art + Architecture Building - Case StudyYale Art + Architecture Building - Case Study
Yale Art + Architecture Building - Case Study
 

Similar to Data as an Art Material. Case study: The Open Data Institute

Open Culture Data: Metrics and Community Building - Maarten Brinkerink
Open Culture Data: Metrics and Community Building - Maarten BrinkerinkOpen Culture Data: Metrics and Community Building - Maarten Brinkerink
Open Culture Data: Metrics and Community Building - Maarten Brinkerink
Digitised Manuscripts to Europeana
 
Guide for being a Culture Hack Scotland data partner v1
Guide for being a Culture Hack Scotland data partner v1Guide for being a Culture Hack Scotland data partner v1
Guide for being a Culture Hack Scotland data partner v1
Sync
 
Hacking Arts & Culture by John Coburn
Hacking Arts & Culture by John CoburnHacking Arts & Culture by John Coburn
Hacking Arts & Culture by John Coburn
Collections Trust
 

Similar to Data as an Art Material. Case study: The Open Data Institute (20)

European librarians theatre - Social Media Spotlight
European librarians theatre - Social Media SpotlightEuropean librarians theatre - Social Media Spotlight
European librarians theatre - Social Media Spotlight
 
Hannah Redler, Open Data Institute: What's Art Got To Do With It? Data As Cul...
Hannah Redler, Open Data Institute: What's Art Got To Do With It? Data As Cul...Hannah Redler, Open Data Institute: What's Art Got To Do With It? Data As Cul...
Hannah Redler, Open Data Institute: What's Art Got To Do With It? Data As Cul...
 
ODI Data as Culture 2013-04-26
ODI Data as Culture 2013-04-26ODI Data as Culture 2013-04-26
ODI Data as Culture 2013-04-26
 
Open Culture Data: Metrics and Community Building - Maarten Brinkerink
Open Culture Data: Metrics and Community Building - Maarten BrinkerinkOpen Culture Data: Metrics and Community Building - Maarten Brinkerink
Open Culture Data: Metrics and Community Building - Maarten Brinkerink
 
The Future of Museums - Digital as a dimension of everything by Marc Sands fr...
The Future of Museums - Digital as a dimension of everything by Marc Sands fr...The Future of Museums - Digital as a dimension of everything by Marc Sands fr...
The Future of Museums - Digital as a dimension of everything by Marc Sands fr...
 
Big Data for the Social Sciences - David De Roure - Jisc Digital Festival 2014
Big Data for the Social Sciences - David De Roure - Jisc Digital Festival 2014Big Data for the Social Sciences - David De Roure - Jisc Digital Festival 2014
Big Data for the Social Sciences - David De Roure - Jisc Digital Festival 2014
 
What If You Could Start Over?
What If You Could Start Over? What If You Could Start Over?
What If You Could Start Over?
 
Open community: an info pro intro
Open community: an info pro introOpen community: an info pro intro
Open community: an info pro intro
 
The leaves are golden
The leaves are goldenThe leaves are golden
The leaves are golden
 
OKCon 2008 - Lessons from Environmental information
OKCon 2008 - Lessons from Environmental informationOKCon 2008 - Lessons from Environmental information
OKCon 2008 - Lessons from Environmental information
 
Guide for being a Culture Hack Scotland data partner v1
Guide for being a Culture Hack Scotland data partner v1Guide for being a Culture Hack Scotland data partner v1
Guide for being a Culture Hack Scotland data partner v1
 
UNC - Reflection on libraries of the future
UNC - Reflection on libraries of the futureUNC - Reflection on libraries of the future
UNC - Reflection on libraries of the future
 
Future Everything
Future EverythingFuture Everything
Future Everything
 
The persistent environmental digital divide(s) -RGS-IBG 2018
The persistent environmental digital divide(s) -RGS-IBG 2018The persistent environmental digital divide(s) -RGS-IBG 2018
The persistent environmental digital divide(s) -RGS-IBG 2018
 
A new age of culture
A new age of cultureA new age of culture
A new age of culture
 
Hacking Arts & Culture by John Coburn
Hacking Arts & Culture by John CoburnHacking Arts & Culture by John Coburn
Hacking Arts & Culture by John Coburn
 
Overview of Citizen Science - Zurich November 2015
Overview of Citizen Science - Zurich November 2015Overview of Citizen Science - Zurich November 2015
Overview of Citizen Science - Zurich November 2015
 
Environmental Information: The Roles of Experts and the Public
Environmental Information: The Roles of Experts and the PublicEnvironmental Information: The Roles of Experts and the Public
Environmental Information: The Roles of Experts and the Public
 
Citizen Science & Geographical Technologies: creativity, learning, and engage...
Citizen Science & Geographical Technologies: creativity, learning, and engage...Citizen Science & Geographical Technologies: creativity, learning, and engage...
Citizen Science & Geographical Technologies: creativity, learning, and engage...
 
"Opening GLAM Data Bottom-up" by Maarten Brinkerink
"Opening GLAM Data Bottom-up" by Maarten Brinkerink"Opening GLAM Data Bottom-up" by Maarten Brinkerink
"Opening GLAM Data Bottom-up" by Maarten Brinkerink
 

More from OReillyStrata

Dealing with Uncertainty: What the reverend Bayes can teach us.
Dealing with Uncertainty: What the reverend Bayes can teach us.Dealing with Uncertainty: What the reverend Bayes can teach us.
Dealing with Uncertainty: What the reverend Bayes can teach us.
OReillyStrata
 
SQL on Hadoop: Defining the New Generation of Analytic SQL Databases
SQL on Hadoop: Defining the New Generation of Analytic SQL DatabasesSQL on Hadoop: Defining the New Generation of Analytic SQL Databases
SQL on Hadoop: Defining the New Generation of Analytic SQL Databases
OReillyStrata
 
The Future of Big Data is Relational (or why you can't escape SQL)
The Future of Big Data is Relational (or why you can't escape SQL)The Future of Big Data is Relational (or why you can't escape SQL)
The Future of Big Data is Relational (or why you can't escape SQL)
OReillyStrata
 
Designing Big Data Interactions: The Language of Discovery
Designing Big Data Interactions: The Language of DiscoveryDesigning Big Data Interactions: The Language of Discovery
Designing Big Data Interactions: The Language of Discovery
OReillyStrata
 

More from OReillyStrata (14)

Dealing with Uncertainty: What the reverend Bayes can teach us.
Dealing with Uncertainty: What the reverend Bayes can teach us.Dealing with Uncertainty: What the reverend Bayes can teach us.
Dealing with Uncertainty: What the reverend Bayes can teach us.
 
SapientNitro Strata_presentation_upload
SapientNitro Strata_presentation_uploadSapientNitro Strata_presentation_upload
SapientNitro Strata_presentation_upload
 
Digital analytics & privacy: it's not the end of the world
Digital analytics & privacy: it's not the end of the worldDigital analytics & privacy: it's not the end of the world
Digital analytics & privacy: it's not the end of the world
 
Giving Organisations new capabilities to ask the right business questions 1.7
Giving Organisations new capabilities to ask the right business questions 1.7Giving Organisations new capabilities to ask the right business questions 1.7
Giving Organisations new capabilities to ask the right business questions 1.7
 
Giving Organisations new Capabilities to ask the Right Business Questions
Giving Organisations new Capabilities to ask the Right Business QuestionsGiving Organisations new Capabilities to ask the Right Business Questions
Giving Organisations new Capabilities to ask the Right Business Questions
 
Big Data for Big Power: How smart is the grid if the infrastructure is stupid?
Big Data for Big Power:  How smart is the grid if the infrastructure is stupid?Big Data for Big Power:  How smart is the grid if the infrastructure is stupid?
Big Data for Big Power: How smart is the grid if the infrastructure is stupid?
 
The Workflow Abstraction
The Workflow AbstractionThe Workflow Abstraction
The Workflow Abstraction
 
SQL on Hadoop: Defining the New Generation of Analytic SQL Databases
SQL on Hadoop: Defining the New Generation of Analytic SQL DatabasesSQL on Hadoop: Defining the New Generation of Analytic SQL Databases
SQL on Hadoop: Defining the New Generation of Analytic SQL Databases
 
The Future of Big Data is Relational (or why you can't escape SQL)
The Future of Big Data is Relational (or why you can't escape SQL)The Future of Big Data is Relational (or why you can't escape SQL)
The Future of Big Data is Relational (or why you can't escape SQL)
 
Large scale ETL with Hadoop
Large scale ETL with HadoopLarge scale ETL with Hadoop
Large scale ETL with Hadoop
 
Visualizing Networks: Beyond the Hairball
Visualizing Networks: Beyond the HairballVisualizing Networks: Beyond the Hairball
Visualizing Networks: Beyond the Hairball
 
Designing Big Data Interactions: The Language of Discovery
Designing Big Data Interactions: The Language of DiscoveryDesigning Big Data Interactions: The Language of Discovery
Designing Big Data Interactions: The Language of Discovery
 
Digital Reasoning_Tim Estes_Strata NYC 2012
Digital Reasoning_Tim Estes_Strata NYC 2012Digital Reasoning_Tim Estes_Strata NYC 2012
Digital Reasoning_Tim Estes_Strata NYC 2012
 
clearScienceStrataRx2012
clearScienceStrataRx2012clearScienceStrataRx2012
clearScienceStrataRx2012
 

Recently uploaded

Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 

Recently uploaded (20)

Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Optimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through ObservabilityOptimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through Observability
 
IESVE for Early Stage Design and Planning
IESVE for Early Stage Design and PlanningIESVE for Early Stage Design and Planning
IESVE for Early Stage Design and Planning
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
 
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxUnpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
 
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi IbrahimzadeFree and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
 
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya HalderCustom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
 
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomSalesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
 
Introduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG EvaluationIntroduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG Evaluation
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 

Data as an Art Material. Case study: The Open Data Institute

Editor's Notes

  1. About me. Artist - working with data. When ODI started early talks with Gavin, one of his first decisions was to support the programme. ODI has just turned one.
  2. over 3000 visitors to our London space 25 countries interested in setting up “their ODI” 50 corporate paying members 6 courses launched (130+ trained from 11 countries) 10 start-ups incubated launch of Open Data Certificate - certificates.theodi.org Support for existing ecosystem (MySociety, OKF, OGP)
  3. Artists have always reflected society and the environment we live in in their work, - the wealth of information data holds, the ability to globally self-reflect is enormous and very attractive
  4. Call responded in only 1 screen based work (Semiconductor) out of 9 (3 new commissions, 6 existing works) Works were manifestations of data rather than data visualisations
  5. Next steps - Open call for Curators announced in Sept 2013, new exhibition in Feb 2014, with extensions to Manchester (Future Everything) and Brighton (Lighthouse). Hoping to expand Internationally More focus on ALL cultural data as described earlier. [PLEASE NOTES ALL ARTWORK IMAGES IN THIS PRESENTATION ARE © the Artist.