Submit Search
Upload
Computer assisted research and reporting
•
Download as PPT, PDF
•
2 likes
•
561 views
P
peterverweij
Follow
CARR
Read less
Read more
Education
Technology
News & Politics
Report
Share
Report
Share
1 of 29
Download now
Recommended
Network data dissemination. How to share statistics on the Web
Data Sharing
Data Sharing
Vincenzo Patruno
Data can be the source of data journalism, or it can be the tool with which the story is told—or it can be both.
Data journalism
Data journalism
hamid obaidi
data journalism
Data journalism presentation
Data journalism presentation
Kwami Ahiabenu,II
Presentation to ESCACC, Barcelona, 2010
New information for new journalists pt2: data
New information for new journalists pt2: data
Paul Bradshaw
Keynote at WCIT 2010 on Open Data for Open Government
WCIT2010
WCIT2010
Frank van Harmelen
Presentation for School of Data training in the Philippines, May 2014 in collaboration with the Open Data PH Taskforce.
An introduction to open data
An introduction to open data
Anders Pedersen
https://gts-ee.webex.com/mw3300/mywebex/default.do?nomenu=true&siteurl=gts-ee&service=6&rnd=0.21056357204257947&main_url=https%3A%2F%2Fgts-ee.webex.com%2Fec3300%2Feventcenter%2Fevent%2FeventAction.do%3FtheAction%3Ddetail%26%26%26EMK%3D4832534b0000000422caf52da87c179b1276b4b23d153e844d3d66f21e1b0d3316b051cb98b3787b%26siteurl%3Dgts-ee%26confViewID%3D146025697428655072%26encryptTicket%3DSDJTSwAAAAR4aqYMEmzLnPNnFx0BMJCyoNhSNg1glKapjzq0AXKK6Q2%26
NOTES: Learning from the past: Open data in Canada Open Government Canada Web...
NOTES: Learning from the past: Open data in Canada Open Government Canada Web...
Communication and Media Studies, Carleton University
Data Visualization - Data Journalism
Statistics in Journalism Sheffield 2014
Statistics in Journalism Sheffield 2014
Elpidio del Campo Cañizares
Recommended
Network data dissemination. How to share statistics on the Web
Data Sharing
Data Sharing
Vincenzo Patruno
Data can be the source of data journalism, or it can be the tool with which the story is told—or it can be both.
Data journalism
Data journalism
hamid obaidi
data journalism
Data journalism presentation
Data journalism presentation
Kwami Ahiabenu,II
Presentation to ESCACC, Barcelona, 2010
New information for new journalists pt2: data
New information for new journalists pt2: data
Paul Bradshaw
Keynote at WCIT 2010 on Open Data for Open Government
WCIT2010
WCIT2010
Frank van Harmelen
Presentation for School of Data training in the Philippines, May 2014 in collaboration with the Open Data PH Taskforce.
An introduction to open data
An introduction to open data
Anders Pedersen
https://gts-ee.webex.com/mw3300/mywebex/default.do?nomenu=true&siteurl=gts-ee&service=6&rnd=0.21056357204257947&main_url=https%3A%2F%2Fgts-ee.webex.com%2Fec3300%2Feventcenter%2Fevent%2FeventAction.do%3FtheAction%3Ddetail%26%26%26EMK%3D4832534b0000000422caf52da87c179b1276b4b23d153e844d3d66f21e1b0d3316b051cb98b3787b%26siteurl%3Dgts-ee%26confViewID%3D146025697428655072%26encryptTicket%3DSDJTSwAAAAR4aqYMEmzLnPNnFx0BMJCyoNhSNg1glKapjzq0AXKK6Q2%26
NOTES: Learning from the past: Open data in Canada Open Government Canada Web...
NOTES: Learning from the past: Open data in Canada Open Government Canada Web...
Communication and Media Studies, Carleton University
Data Visualization - Data Journalism
Statistics in Journalism Sheffield 2014
Statistics in Journalism Sheffield 2014
Elpidio del Campo Cañizares
An introduction to data journalism, the workflow and various examples.
Data Journalism Workshop - Prague
Data Journalism Workshop - Prague
Christian Kreutz
Big Data and the Social Sciences Ex-Google engineer Abe Usher presents a talk about Big Data technology and methods applicable to social science. Participants will learn techniques that are used by Google engineers to collect, clean, analyze, and visualize Big Data. Additionally Mr. Usher will provide URLs to sample data, open source applications, and code to those interested in applying these Big Data methods themselves.
Big Data and the Social Sciences
Big Data and the Social Sciences
Abe Usher
Presented at IJ-7 (7. Conference on Innovation Journalism) in Stanford, June 2010. Link: http://ij7.innovationjournalism.org/
Data-driven journalism: What is there to learn? (Stanford, June 2010) #ddj
Data-driven journalism: What is there to learn? (Stanford, June 2010) #ddj
Mirko Lorenz
Tom Johnson's presentation at IRE workshop, Feb. 2011
IRE "Better Watchdog" workshop presentation "Data: Now I've got it, what do I...
IRE "Better Watchdog" workshop presentation "Data: Now I've got it, what do I...
J T "Tom" Johnson
EDF2012 Rufus Pollock - Open Data. Where we are where we are going
EDF2012 Rufus Pollock - Open Data. Where we are where we are going
European Data Forum
Jason Parker gave a presentation on "Open Data Sources for Grants" to the Tennessee Chapter of the Grant Professionals Association on September 10, 2014. This presentation includes a wide variety of open data resources that grant writers can use to strengthen proposals.
Open Data Sources for Grants
Open Data Sources for Grants
jasonparker83
Presentation to the Society of Professional Journalists board of directors April 18, 2015
It’s the people’s data presentation april 2015
It’s the people’s data presentation april 2015
J T "Tom" Johnson
Presentation at ESJ Lille about teaching AI and machine learning to data journalists and journalism students
Teaching AI in data journalism
Teaching AI in data journalism
Paul Bradshaw
unified talk on data science history in industry / data science at The New York Times
data history / data science @ NYT
data history / data science @ NYT
chris wiggins
Keynote Tbilisi November 2013
How news organizations are using data to tell
How news organizations are using data to tell
peterverweij
El Estudio Data Journalism in 2017 aborda cómo los periodistas usan los datos para contar historias. El análisis ofrece una visión general del estado del periodismo de datos en 2017 y destaca los retos clave para que el campo avance. Algunas conclusiones: - El 42% de los periodistas emplean los datos para contar historias de manera regular (dos veces o más por semana). - El 51% de los medios de comunicación en Estados Unidos y Europa tienen en las redacciones al menos un periodista especializadp a los datos (periodista de datos). Este porcentaje se eleva al 60% para los medios digitales. - El 33% de los periodistas usan datos para historias políticas, seguidos por 28% para finanzas y economía y 25% por historias enmarcadas en el periodismo de investigación.
Estudio data journalism-in-2017 - google
Estudio data journalism-in-2017 - google
Periodismo & Marketing Digital - Gemma Alcalá
ASOCEU - Lesson 1 - How Public Authority publishes data
ASOCEU - Lesson 1 - How Public Authority publishes data
ASOCEU - Lesson 1 - How Public Authority publishes data
A Scuola di OpenCoesione
talk delivered 2015-07-29 at ICERM workshop on "mathematics in data science" workshop: https://icerm.brown.edu/topical_workshops/tw15-6-mds/ references: http://bit.ly/icerm
data science history / data science @ NYT
data science history / data science @ NYT
chris wiggins
guest lecture for columbia undergraduate audience on data science, using NYT as an example, 2015-01-22
intro data science at NYT 2015-01-22
intro data science at NYT 2015-01-22
chris wiggins
Benefits of big data
Benefits of big data
Benefits of big data
Jean-Christophe HUC (Jay C)
Slides by Marianne Bouchart for news:rewired on 1 December
Marianne Bouchart – Telling stories with data
Marianne Bouchart – Telling stories with data
Journalism.co.uk
Informe de Google Labs y PolizyViz (ENG) para averiguar cómo utilizan los periodistas los datos a la hora de redactar las informaciones. Es el resultado de realizar 56 entrevistas en profundidad a responsables, expertos en visualización de datos, periodistas de datos y vídeoperiodistas de EEUU, Alemania, Francia y Gran Bretaña. Además, se hizo una encuesta cuantitativa a más de 900 periodistas y editores. Página web: https://newslab.withgoogle.com/assets/docs/data-journalism-in-2017.pdf
El periodismo de datos en 2017
El periodismo de datos en 2017
María Rubio
A short intro to Web Data Extraction techniques. The talk is part of the HiPEDS CDT Seminar Series at Imperial College
Web Data Extraction: A Crash Course
Web Data Extraction: A Crash Course
Giorgio Orsi
Alan Turing Institute short talk on Fairhair.AI, the Meltwater Data Science Platform.
Fairhair.ai – alan turing institute june '17 (public)
Fairhair.ai – alan turing institute june '17 (public)
Giorgio Orsi
My presentation at ODSC 2017. Video link: https://www.youtube.com/watch?v=Mwv6dSTYvN4&t= AI engine for unsupervised full-site web extraction from millions of websites, supervised machine learning methods to fuse these distinct information sources and link them into our domain-specific probabilistic knowledge graph with over 275 million facts mined so far. Also shared practical learnings on how we combine traditional information extraction techniques with recent advancements in deep learning for a variety of NLP tasks such as entity-level sentiment and relation extraction on 10’s of millions of new documents a day across 15 different languages.
Farirhair.ai: AI platform to mine competitive intelligence from billions of u...
Farirhair.ai: AI platform to mine competitive intelligence from billions of u...
Aditya Jami
This is report detailing Kenya railways cooperation land scandals.
Report of the parliamentary select committee on the decline of the kenya shil...
Report of the parliamentary select committee on the decline of the kenya shil...
East Africa Climate Change Network
Clearent
Clearent
ua131313
More Related Content
What's hot
An introduction to data journalism, the workflow and various examples.
Data Journalism Workshop - Prague
Data Journalism Workshop - Prague
Christian Kreutz
Big Data and the Social Sciences Ex-Google engineer Abe Usher presents a talk about Big Data technology and methods applicable to social science. Participants will learn techniques that are used by Google engineers to collect, clean, analyze, and visualize Big Data. Additionally Mr. Usher will provide URLs to sample data, open source applications, and code to those interested in applying these Big Data methods themselves.
Big Data and the Social Sciences
Big Data and the Social Sciences
Abe Usher
Presented at IJ-7 (7. Conference on Innovation Journalism) in Stanford, June 2010. Link: http://ij7.innovationjournalism.org/
Data-driven journalism: What is there to learn? (Stanford, June 2010) #ddj
Data-driven journalism: What is there to learn? (Stanford, June 2010) #ddj
Mirko Lorenz
Tom Johnson's presentation at IRE workshop, Feb. 2011
IRE "Better Watchdog" workshop presentation "Data: Now I've got it, what do I...
IRE "Better Watchdog" workshop presentation "Data: Now I've got it, what do I...
J T "Tom" Johnson
EDF2012 Rufus Pollock - Open Data. Where we are where we are going
EDF2012 Rufus Pollock - Open Data. Where we are where we are going
European Data Forum
Jason Parker gave a presentation on "Open Data Sources for Grants" to the Tennessee Chapter of the Grant Professionals Association on September 10, 2014. This presentation includes a wide variety of open data resources that grant writers can use to strengthen proposals.
Open Data Sources for Grants
Open Data Sources for Grants
jasonparker83
Presentation to the Society of Professional Journalists board of directors April 18, 2015
It’s the people’s data presentation april 2015
It’s the people’s data presentation april 2015
J T "Tom" Johnson
Presentation at ESJ Lille about teaching AI and machine learning to data journalists and journalism students
Teaching AI in data journalism
Teaching AI in data journalism
Paul Bradshaw
unified talk on data science history in industry / data science at The New York Times
data history / data science @ NYT
data history / data science @ NYT
chris wiggins
Keynote Tbilisi November 2013
How news organizations are using data to tell
How news organizations are using data to tell
peterverweij
El Estudio Data Journalism in 2017 aborda cómo los periodistas usan los datos para contar historias. El análisis ofrece una visión general del estado del periodismo de datos en 2017 y destaca los retos clave para que el campo avance. Algunas conclusiones: - El 42% de los periodistas emplean los datos para contar historias de manera regular (dos veces o más por semana). - El 51% de los medios de comunicación en Estados Unidos y Europa tienen en las redacciones al menos un periodista especializadp a los datos (periodista de datos). Este porcentaje se eleva al 60% para los medios digitales. - El 33% de los periodistas usan datos para historias políticas, seguidos por 28% para finanzas y economía y 25% por historias enmarcadas en el periodismo de investigación.
Estudio data journalism-in-2017 - google
Estudio data journalism-in-2017 - google
Periodismo & Marketing Digital - Gemma Alcalá
ASOCEU - Lesson 1 - How Public Authority publishes data
ASOCEU - Lesson 1 - How Public Authority publishes data
ASOCEU - Lesson 1 - How Public Authority publishes data
A Scuola di OpenCoesione
talk delivered 2015-07-29 at ICERM workshop on "mathematics in data science" workshop: https://icerm.brown.edu/topical_workshops/tw15-6-mds/ references: http://bit.ly/icerm
data science history / data science @ NYT
data science history / data science @ NYT
chris wiggins
guest lecture for columbia undergraduate audience on data science, using NYT as an example, 2015-01-22
intro data science at NYT 2015-01-22
intro data science at NYT 2015-01-22
chris wiggins
Benefits of big data
Benefits of big data
Benefits of big data
Jean-Christophe HUC (Jay C)
Slides by Marianne Bouchart for news:rewired on 1 December
Marianne Bouchart – Telling stories with data
Marianne Bouchart – Telling stories with data
Journalism.co.uk
Informe de Google Labs y PolizyViz (ENG) para averiguar cómo utilizan los periodistas los datos a la hora de redactar las informaciones. Es el resultado de realizar 56 entrevistas en profundidad a responsables, expertos en visualización de datos, periodistas de datos y vídeoperiodistas de EEUU, Alemania, Francia y Gran Bretaña. Además, se hizo una encuesta cuantitativa a más de 900 periodistas y editores. Página web: https://newslab.withgoogle.com/assets/docs/data-journalism-in-2017.pdf
El periodismo de datos en 2017
El periodismo de datos en 2017
María Rubio
A short intro to Web Data Extraction techniques. The talk is part of the HiPEDS CDT Seminar Series at Imperial College
Web Data Extraction: A Crash Course
Web Data Extraction: A Crash Course
Giorgio Orsi
Alan Turing Institute short talk on Fairhair.AI, the Meltwater Data Science Platform.
Fairhair.ai – alan turing institute june '17 (public)
Fairhair.ai – alan turing institute june '17 (public)
Giorgio Orsi
My presentation at ODSC 2017. Video link: https://www.youtube.com/watch?v=Mwv6dSTYvN4&t= AI engine for unsupervised full-site web extraction from millions of websites, supervised machine learning methods to fuse these distinct information sources and link them into our domain-specific probabilistic knowledge graph with over 275 million facts mined so far. Also shared practical learnings on how we combine traditional information extraction techniques with recent advancements in deep learning for a variety of NLP tasks such as entity-level sentiment and relation extraction on 10’s of millions of new documents a day across 15 different languages.
Farirhair.ai: AI platform to mine competitive intelligence from billions of u...
Farirhair.ai: AI platform to mine competitive intelligence from billions of u...
Aditya Jami
What's hot
(20)
Data Journalism Workshop - Prague
Data Journalism Workshop - Prague
Big Data and the Social Sciences
Big Data and the Social Sciences
Data-driven journalism: What is there to learn? (Stanford, June 2010) #ddj
Data-driven journalism: What is there to learn? (Stanford, June 2010) #ddj
IRE "Better Watchdog" workshop presentation "Data: Now I've got it, what do I...
IRE "Better Watchdog" workshop presentation "Data: Now I've got it, what do I...
EDF2012 Rufus Pollock - Open Data. Where we are where we are going
EDF2012 Rufus Pollock - Open Data. Where we are where we are going
Open Data Sources for Grants
Open Data Sources for Grants
It’s the people’s data presentation april 2015
It’s the people’s data presentation april 2015
Teaching AI in data journalism
Teaching AI in data journalism
data history / data science @ NYT
data history / data science @ NYT
How news organizations are using data to tell
How news organizations are using data to tell
Estudio data journalism-in-2017 - google
Estudio data journalism-in-2017 - google
ASOCEU - Lesson 1 - How Public Authority publishes data
ASOCEU - Lesson 1 - How Public Authority publishes data
data science history / data science @ NYT
data science history / data science @ NYT
intro data science at NYT 2015-01-22
intro data science at NYT 2015-01-22
Benefits of big data
Benefits of big data
Marianne Bouchart – Telling stories with data
Marianne Bouchart – Telling stories with data
El periodismo de datos en 2017
El periodismo de datos en 2017
Web Data Extraction: A Crash Course
Web Data Extraction: A Crash Course
Fairhair.ai – alan turing institute june '17 (public)
Fairhair.ai – alan turing institute june '17 (public)
Farirhair.ai: AI platform to mine competitive intelligence from billions of u...
Farirhair.ai: AI platform to mine competitive intelligence from billions of u...
Viewers also liked
This is report detailing Kenya railways cooperation land scandals.
Report of the parliamentary select committee on the decline of the kenya shil...
Report of the parliamentary select committee on the decline of the kenya shil...
East Africa Climate Change Network
Clearent
Clearent
ua131313
Datajournalistik baserade på öppna data, Internetdagarna 24 november 2014, Stockholm.
Internetdagarna 24 november 2014 - Datajournalistik baserade på öppna data
Internetdagarna 24 november 2014 - Datajournalistik baserade på öppna data
Kristofer Sjöholm
Presentation på svenska Survey-föreningens workshop kring kvalité i webbpanelundersökningar 12 februari 2015. Här är mer information om arrangemanget: http://statistikframjandet.se/survey/
Utmaningar och möjligheter med undersökningar på SVT Nyheter
Utmaningar och möjligheter med undersökningar på SVT Nyheter
Kristofer Sjöholm
Lecture for students at Hyper Island in Stockholm September 12 2013
Data journalism at SVT
Data journalism at SVT
Kristofer Sjöholm
Recruiting Slide Linked In
Recruiting Slide Linked In
ua131313
CHALLENGE Appinions wanted to grab the attention of the major strategic consulting firms, but as a small start-up, the team struggled to get the attention of the key decision makers at those firms. Over the span of several months, all attempts to get in front of that set of influential companies failed. SOLUTION The Appinions Data Journalism Group seized a timely opportunity to create unique content based on influencer insights that would feature strategic consulting firms and evaluate their growing influence in marketing and IT services. Industry conversations surrounding recent acquisitions by key consulting firms spurred an interesting discussion that Appinions sought to leverage for marketing purposes.
{Case Study} Influence-Driven Content Marketing
{Case Study} Influence-Driven Content Marketing
Appinions
How to start becoming data-driven. Where to look for quick wins, how to gather data, how to set up process and methodology, what to strive for and what mistakes to guard against.
Turn to datadriven: the first 6 months
Turn to datadriven: the first 6 months
Simon Belak
21 قانون للقيادة
21 قانون للقيادة
agyalacademy
Viewers also liked
(9)
Report of the parliamentary select committee on the decline of the kenya shil...
Report of the parliamentary select committee on the decline of the kenya shil...
Clearent
Clearent
Internetdagarna 24 november 2014 - Datajournalistik baserade på öppna data
Internetdagarna 24 november 2014 - Datajournalistik baserade på öppna data
Utmaningar och möjligheter med undersökningar på SVT Nyheter
Utmaningar och möjligheter med undersökningar på SVT Nyheter
Data journalism at SVT
Data journalism at SVT
Recruiting Slide Linked In
Recruiting Slide Linked In
{Case Study} Influence-Driven Content Marketing
{Case Study} Influence-Driven Content Marketing
Turn to datadriven: the first 6 months
Turn to datadriven: the first 6 months
21 قانون للقيادة
21 قانون للقيادة
Similar to Computer assisted research and reporting
data, big data, open data
data, big data, open data
Vincenzo Patruno
This chapter is from the first edition of the Online Journalism Handbook. The work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Data Journalism: chapter from Online Journalism Handbook first edition
Data Journalism: chapter from Online Journalism Handbook first edition
Paul Bradshaw
A lecture on Crowdsourcing and it's evolution
J O U R 3340 Oct 1 Online Journalism
J O U R 3340 Oct 1 Online Journalism
Neil Foote
Presentation at the New Mexico Foundation for Open Government Academy, Univ. of New Mexico Law School, Albuquerque, NM 26 March 2011
It's not the documents; it's the DATA
It's not the documents; it's the DATA
J T "Tom" Johnson
A presentation on society, technology and media in a networked age, delivered at the 2014 Datafest in Buenos Aires.
Towards a More Open World
Towards a More Open World
Alexander Howard
Can the analysis of data help investigative journalism? Could new workflows working with data create more substantial reporting and thus finance costly investigations? This talk tried to provide food for thought for these questions, not the final answers. Work ahead on this...
Data-driven journalism (GIJC, Geneva April 2010) #ddj
Data-driven journalism (GIJC, Geneva April 2010) #ddj
Mirko Lorenz
Data Science Innovations : Democratisation of Data and Data Science covers the opportunity of citizen data science lying at the convergence of natural language generation and discoveries in data made by the professions, not data scientists.
Data Science Innovations : Democratisation of Data and Data Science
Data Science Innovations : Democratisation of Data and Data Science
suresh sood
The "data deluge": can official statistics be the Noah's ark? Giovannini E.
Ws2011 giovannini
Ws2011 giovannini
Gruppo Valorizzazione delle Statistiche Pubbliche
A presentation for the Developing Caribbean conference. developingcaribbean.org
Data journalism Overview
Data journalism Overview
Alexander Howard
What it means for Journalism and News Consumers, PewResearch Center 2014
Growth of Digital Reporting
Growth of Digital Reporting
Carlos Diaz Warns
Slightly updated slides (Apr 2013)
Mac373 med312 data journalism lecture
Mac373 med312 data journalism lecture
Rob Jewitt
This is a brief survey of data journalism, including the kinds of issues data journalists tackle, key challenges involved, and some examples of notable work. Data journalism covers a broad range of activities. Some journalists construct databases from scratch. Others make detailed visualizations that illuminate hidden patterns. Using data, journalists can uncover new areas for potential stories, discover systemic patterns, verify claims, and address issues with greater transparency and detail.
Data Journalism 101: A Brief Survey
Data Journalism 101: A Brief Survey
Flex.io
What happens when you combine data and Web 2.0? Mountains of data are piling up in libraries and corporate intranets, but how do we say it visually and make data more useful? Fichter looks at new online tools that enable sharing, analysis, and data visualization to show trends, associations and new insights on your library website that quickly engage, inform, and empower your customers to create their own visualizations. Tools such as Many Eyes go beyond the data visualization and tap into the social dimension encouraging sharing, collaboration, and reuse. Fichter talks about what happens when data goes “social.” From visual dictionaries, textual analysis of works of fiction, to star size and nutritional components of Big Macs, hop on board for this fast-paced look at an amazing set of tools that are at your fingertips.
Data 2.0 - Harnessing New Data Visualization Tools CIL 2008
Data 2.0 - Harnessing New Data Visualization Tools CIL 2008
Darlene Fichter
Examples illustrating the usage of open data and user generating content building up the real-time web - an important trend we see these days.
Lovett Trends Presentation. From Web 2.0 to Web Squared? Telenor Fusion Advis...
Lovett Trends Presentation. From Web 2.0 to Web Squared? Telenor Fusion Advis...
Hilde Lovett
A keynote Miguel Paz gave for a brown bag lunch at NPR in April, 2015, organized by the Research, Analysis and Data team of this awesome media organization. While it is focused on NPR most of the ideas apply to other news organizations as well.
The power of Structured Journalism & Hacker Culture in NPR
The power of Structured Journalism & Hacker Culture in NPR
Poderomedia
ng
open-data-presentation.pptx
open-data-presentation.pptx
DennicaRivera
Journalistic Transparency Presentation at the National Institute of Money in State Politics, Flathead Lake, Mont.
News transparency-flathead
News transparency-flathead
Jody Brannon
A combination of automatic, real-time data feeds from government agencies and new Web 2.0 "data visualization" tools can both increase cooperation and operating efficiency within government, and improve the quality of policy debate and encourage people to become actively involved in offering ideas to improve government. NOTE: best viewed in full-screen mode to read notes.
Gov Transformation Through Public Data
Gov Transformation Through Public Data
W. David Stephenson
Mac201 data journalism lecture
Mac201 data journalism lecture
Rob Jewitt
A presentation for the Tow Center for Digital Journalism at Columbia University. Full report available at: http://towcenter.org/wp-content/uploads/2014/05/Tow-Center-Data-Driven-Journalism.pdf
The art and science of data-driven journalism
The art and science of data-driven journalism
Alexander Howard
Similar to Computer assisted research and reporting
(20)
data, big data, open data
data, big data, open data
Data Journalism: chapter from Online Journalism Handbook first edition
Data Journalism: chapter from Online Journalism Handbook first edition
J O U R 3340 Oct 1 Online Journalism
J O U R 3340 Oct 1 Online Journalism
It's not the documents; it's the DATA
It's not the documents; it's the DATA
Towards a More Open World
Towards a More Open World
Data-driven journalism (GIJC, Geneva April 2010) #ddj
Data-driven journalism (GIJC, Geneva April 2010) #ddj
Data Science Innovations : Democratisation of Data and Data Science
Data Science Innovations : Democratisation of Data and Data Science
Ws2011 giovannini
Ws2011 giovannini
Data journalism Overview
Data journalism Overview
Growth of Digital Reporting
Growth of Digital Reporting
Mac373 med312 data journalism lecture
Mac373 med312 data journalism lecture
Data Journalism 101: A Brief Survey
Data Journalism 101: A Brief Survey
Data 2.0 - Harnessing New Data Visualization Tools CIL 2008
Data 2.0 - Harnessing New Data Visualization Tools CIL 2008
Lovett Trends Presentation. From Web 2.0 to Web Squared? Telenor Fusion Advis...
Lovett Trends Presentation. From Web 2.0 to Web Squared? Telenor Fusion Advis...
The power of Structured Journalism & Hacker Culture in NPR
The power of Structured Journalism & Hacker Culture in NPR
open-data-presentation.pptx
open-data-presentation.pptx
News transparency-flathead
News transparency-flathead
Gov Transformation Through Public Data
Gov Transformation Through Public Data
Mac201 data journalism lecture
Mac201 data journalism lecture
The art and science of data-driven journalism
The art and science of data-driven journalism
More from peterverweij
howto linux on android
Running linux on android in virtual box
Running linux on android in virtual box
peterverweij
Seminar UNFPA Yangon Myanmar about Data Journalism
Reinventing
Reinventing
peterverweij
some pics from census data journalism training at Yangon Myanmar
Training
Training
peterverweij
Re-Inventing Journalism. Lecture studenten journalistiek; Leuven
Re-Inventing Journalism. Lecture studenten journalistiek; Leuven
peterverweij
Data speaking thruth to power. Keynote at Highway Africa Conference 2013
Data speaking thruth to power. Keynote at Highway Africa Conference 2013
peterverweij
Jay Rosen, What's Different about the Web. New York University; pressthink.or...
Jay Rosen, What's Different about the Web. New York University; pressthink.or...
peterverweij
Datajournalistiek voor redacteuren van de telegraaf
Datajournalistiek voor redacteuren van de telegraaf
peterverweij
Datajournalistiek voor redacteuren van de persgroep
Datajournalistiek voor redacteuren van de persgroep
peterverweij
Wits dataj intro_finance_2003
Wits dataj intro_finance_2003
peterverweij
Wits dj lecture
Wits dj lecture
peterverweij
Wits dataj intro
Wits dataj intro
peterverweij
ppt voor ccj over datajournalistiek 14/2/2012
Datajournalistiek
Datajournalistiek
peterverweij
Social Network Analysis VVOJ
Social Network Analysis VVOJ
peterverweij
afscheid
Power peter
Power peter
peterverweij
Where are we going
Where are we going
peterverweij
Uitnodiging def
Uitnodiging def
peterverweij
pilot study in social network analysis on twitter relations between reporters and politicians in Dutch parliament
Twitter networks between reporters and politicians
Twitter networks between reporters and politicians
peterverweij
Blogging
Blogging
peterverweij
Rntc nov
Rntc nov
peterverweij
Velocity is the news and mobile is the
Velocity is the news and mobile is the
peterverweij
More from peterverweij
(20)
Running linux on android in virtual box
Running linux on android in virtual box
Reinventing
Reinventing
Training
Training
Re-Inventing Journalism. Lecture studenten journalistiek; Leuven
Re-Inventing Journalism. Lecture studenten journalistiek; Leuven
Data speaking thruth to power. Keynote at Highway Africa Conference 2013
Data speaking thruth to power. Keynote at Highway Africa Conference 2013
Jay Rosen, What's Different about the Web. New York University; pressthink.or...
Jay Rosen, What's Different about the Web. New York University; pressthink.or...
Datajournalistiek voor redacteuren van de telegraaf
Datajournalistiek voor redacteuren van de telegraaf
Datajournalistiek voor redacteuren van de persgroep
Datajournalistiek voor redacteuren van de persgroep
Wits dataj intro_finance_2003
Wits dataj intro_finance_2003
Wits dj lecture
Wits dj lecture
Wits dataj intro
Wits dataj intro
Datajournalistiek
Datajournalistiek
Social Network Analysis VVOJ
Social Network Analysis VVOJ
Power peter
Power peter
Where are we going
Where are we going
Uitnodiging def
Uitnodiging def
Twitter networks between reporters and politicians
Twitter networks between reporters and politicians
Blogging
Blogging
Rntc nov
Rntc nov
Velocity is the news and mobile is the
Velocity is the news and mobile is the
Recently uploaded
SGLG2024
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
negromaestrong
Subject Environmental Sciences in the syllabus of 1st year b pharmacy semester 2nd contain point The FOOD CHAIN & FOOD WEB.
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Shubhangi Sonawane
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi Welcome to VIP Call Girl In Delhi Hello! Delhi Call Girls is one of the most popular cities in India. Girls who call in Delhi frequently Advertise their services in small promgons in magazines, as well as on the Internet but We do not act as a direct-promoter. We will do everything we can to make sure that you're safe to the max to the best of our abilities and making sure of our ability and ensuring that you're obtained to the best of our abilities and making sure that you get what you want. Sexuality of our females is recognized by our Business proposals. Top-of-the-line, fully-featured Delhi girl call number and we offer To be aware of it is a major reason in deciding to use our services to ensure that our customers realize the worth of their lives swiftly and in a pleasant manner by engaging with web series performers for a cost of 10000.Here you are able to be Relax knowing that personal information is stored in the business proposals, giving an appearance of like you're as if you are a full affirmation. Call Girls Service Now Delhi +91-9899900591 *********** N.M.************* 01/04/2024 ▬█⓿▀█▀ 𝐈𝐍𝐃𝐄𝐏𝐄𝐍𝐃𝐄𝐍𝐓 CALL 𝐆𝐈𝐑𝐋 𝐕𝐈𝐏 𝐄𝐒𝐂𝐎𝐑𝐓 SERVICE ✅ ❣️ ⭐➡️HOT & SEXY MODELS // COLLEGE GIRLS AVAILABLE FOR COMPLETE ENJOYMENT WITH HIGH PROFILE INDIAN MODEL AVAILABLE HOTEL & HOME ★ SAFE AND SECURE HIGH CLASS SERVICE AFFORDABLE RATE ★ SATISFACTION,UNLIMITED ENJOYMENT. ★ All Meetings are confidential and no information is provided to any one at any cost. ★ EXCLUSIVE PROFILes Are Safe and Consensual with Most Limits Respected ★ Service Available In: - HOME & HOTEL Star Hotel Service .In Call & Out call SeRvIcEs : ★ A-Level (star escort) ★ Strip-tease ★ BBBJ (Bareback Blowjob)Receive advanced sexual techniques in different mode make their life more pleasurable. ★ Spending time in hotel rooms ★ BJ (Blowjob Without a Condom) ★ Completion (Oral to completion) ★ Covered (Covered blowjob Without condom SAFE AND SECURE
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
kauryashika82
Pie
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
heathfieldcps1
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
Thiyagu K
Python notes for Unit 1 Avanthi PG College
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
Ramakrishna Reddy Bijjam
https://medicaleducationelearning.blogspot.com/2024/02/using-micro-scholarship-to-incentivize.html
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
Poh-Sun Goh
Numerical on HEV
Application orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
RamjanShidvankar
God is a creative God Gen 1:1. All that He created was “good”, could also be translated “beautiful”. God created man in His own image Gen 1:27. Maths helps us discover the beauty that God has created in His world and, in turn, create beautiful designs to serve and enrich the lives of others.
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
christianmathematics
Class 11th formulas physics
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
AyushMahapatra5
INDIA THAT IS BHARAT IN 2024 The preliminary round of Swadesh, The india quiz conducted on 30th April, 2024.
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
RAM LAL ANAND COLLEGE, DELHI UNIVERSITY.
In Bachelor of Pharmacy course, Class- 1st year, sem-II Subject EVS having topic of Energy Resources under the point Natural Resources. Following Presentation contain total information about the energy resources like Introduction of energy resources, Non-renewable, Renewable Energy resources with examples as well as deep explanations of coal, oil, petroleum, solar energy , wind energy , Conservation of Natural resources etc. Students having deep knowledge about energy resources after studying this presentation.
Energy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural Resources
Energy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural Resources
Shubhangi Sonawane
In this webinar, members learned the ABCs of keeping books for a nonprofit organization. Some of the key takeaways were: - What is accounting and how does it work? - How do you read a financial statement? - What are the three things that nonprofits are required to track? -And more
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
TechSoup
My CV as of the end of April 2024
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
agholdier
Students will get the knowledge of the following: - meaning of Pharmaceutical sales representative (PSR) - purpose of detailing, training & supervision - norms of customer calls - motivating, evaluating, compensation and future aspects of PSR
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
VishalSingh1417
Pie
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
heathfieldcps1
ICT Role in 21st Century Education & its Challenges •This presentation gives an overall view of education in 21st century and how it is facilitated by the integration of ICT. •It also gives a detailed explanation of the challenges faced in ICT-based education and further elaborates the strategies that can help in overcoming the challenges.
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
AreebaZafar22
national learning camp 2024
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
MaritesTamaniVerdade
In this webinar, nonprofits learned how to delve into the minds of funders, unveiling what they truly seek in qualified grant applicants, and tools for success. Learn more about the Grant Readiness Review service by Remy Consulting at TechSoup to help you gather, organize, and assess the strength of documents required for grant applications.
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
TechSoup
In Bachelor of Pharmacy course, Class- 1st year, sem-II Subject EVS having topic of ECOLOGICAL SUCCESSION under the ECOSYSTEM point in this presentation points like ecological succession , types of ecological succession like primary and secondary explain with diagram. Students having deep knowledge about Ecological Succession after studying this presentation.
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Shubhangi Sonawane
Recently uploaded
(20)
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
Application orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
Energy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural Resources
Energy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural Resources
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Computer assisted research and reporting
1.
Data Mining en
Data Driven Story Telling Computer Assisted Research and Reporting Peter Verweij School of Journalism Utrecht The Netherlands
2.
3.
4.
5.
Verkeersongelukken in Utrecht
6.
7.
8.
9.
10.
Examples
11.
12.
13.
14.
15.
16.
17.
18.
Verkiezingen
1998/2003 Grootste partij per gemeente www.nederlandkiest.nl
19.
20.
21.
22.
23.
24.
Overzicht uit NRC
25.
Netwerken in journalistiek
2 Jury Lidmaatschap Literaire Prijzen
26.
Twitter netwerken tussen
politici en journalisten More
27.
28.
29.
Editor's Notes
Spreadsheet over asiel aanvragen naar nationaliteit; gebaseerd op CBS; toont aan het gemak van spreadsheets voor het maken van berekeningen en grafieken
Download now