Journalism, data and storytelling: navigating the battlefieldPaul Bradshaw
Data journalism promises to offer a more factual, objective picture of the world — but to what extent can we fulfil that promise? How can storytelling techniques be useful in engaging audiences with factual data — and what risks do they hold? Drawing on a decade’s experiences as a data journalist, academic and author, Paul Bradshaw will discuss the decisions that data journalists take when telling stories with data, and how an awareness of narrative techniques and critical issues in the field can create better journalism.
Keynote at University of Cambridge - Cambridge Digital Humanities Data School June 2019
In this talk is offer three challenges for a critical data journalism practice drawing on the insights and examples from The Data Journalism Handbook: Towards a Critical Data Practice: https://www.aup.nl/en/book/9789462989511/the-data-journalism-handbook. The talk is a keynote given at the Digital Methods Initiative Summer School at the University of Amsterdam on 5 July 2021.
Journalism, data and storytelling: navigating the battlefieldPaul Bradshaw
Data journalism promises to offer a more factual, objective picture of the world — but to what extent can we fulfil that promise? How can storytelling techniques be useful in engaging audiences with factual data — and what risks do they hold? Drawing on a decade’s experiences as a data journalist, academic and author, Paul Bradshaw will discuss the decisions that data journalists take when telling stories with data, and how an awareness of narrative techniques and critical issues in the field can create better journalism.
Keynote at University of Cambridge - Cambridge Digital Humanities Data School June 2019
In this talk is offer three challenges for a critical data journalism practice drawing on the insights and examples from The Data Journalism Handbook: Towards a Critical Data Practice: https://www.aup.nl/en/book/9789462989511/the-data-journalism-handbook. The talk is a keynote given at the Digital Methods Initiative Summer School at the University of Amsterdam on 5 July 2021.
Data! Action! Data journalism issues to watch in the next 10 yearsPaul Bradshaw
Keynote at the Nordic data journalism conference #NODA16 - an outline of issues facing data journalism which journalists and academics need to focus on in the next decade.
Storytelling in the database era: uncertainty and science reportingPaul Bradshaw
Presentation at the Humboldt Foundation's International Journalists' Programmes 2020 about the changes within journalism around using interactivity for telling stories, and communicating uncertainty. The slides also include recommendations around avoiding mistakes.
At Data Journalism UK 2016 Andy Dickinson provided an insight into the ways that data journalism is being used at a hyperlocal level. Here are his slides.
Journalists today are faced with an overwhelming abundance of data – from large collections of leaked documents, to public databases about lobbying or government spending, to ‘big data’ from social networks such as Twitter and Facebook. To stay relevant to society journalists are learning to process this data and separate signal from noise in order to provide valuable insights to their readers. This talk will address questions like: What is the potential of data journalism? Why is it relevant to society? And how can you get started?
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
Data Journalism and the Remaking of Data InfrastructuresLiliana Bounegru
Talk given at the “Evidence and the Politics of Policymaking” Conference, University of Bath, 14th September 2016, on the basis of my PhD research at the University of Groningen and University of Ghent.
http://www.bath.ac.uk/ipr/events/news-0230.html.
Data Journalism lecture - Week 1: Introduction to Data Journalism
Lecture date: 9 Sep 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
The Politics of Open Data: Past, Present and FutureJonathan Gray
Slides for presentation on “The Politics of Open Data: Past, Present and Future” at the Data Power conference at the University of Sheffield, 22nd June 2015.
Talk on fake news as digital culture given at the Institute for Policy Research symposium on Politics, Fake News and the Post-Truth Era, University of Bath, 14 September 2017.
More about the talk here: http://lilianabounegru.org/2017/09/23/fake-news-in-digital-culture-at-2017-institute-for-policy-research-symposium/
More about the event here: http://www.bath.ac.uk/events/politics-fake-news-and-the-post-truth-era/
Fake News, Algorithmic Accountability and the Role of Data Journalism in the ...Liliana Bounegru
Talk given at the workshop 'How Can Public Interest Journalism Hold Algorithms to Account?' at the University of Cambridge on 23 March 2017.
More about the talk can be found here: http://lilianabounegru.org/2017/03/27/fake-news-algorithmic-accountability-data-journalism-post-truth-university-of-cambridge/
More about the workshop can be found here: http://www.crassh.cam.ac.uk/events/27130
Doing Social and Political Research in a Digital Age: An Introduction to Digi...Liliana Bounegru
Lecture given at the National Center of Competence in Research: Challenges to Democracy in the 21st Century, 5 November 2015, Zürich University, Zürich, Switzerland
AI should be Fair, Accountable and Transparent (FAT* AI), hence it's crucial to raise awareness among these topics not only among machine learning practitioners but among the entire population, as ML systems can take life-changing decisions and influence our lives now more than ever.
Data! Action! Data journalism issues to watch in the next 10 yearsPaul Bradshaw
Keynote at the Nordic data journalism conference #NODA16 - an outline of issues facing data journalism which journalists and academics need to focus on in the next decade.
Storytelling in the database era: uncertainty and science reportingPaul Bradshaw
Presentation at the Humboldt Foundation's International Journalists' Programmes 2020 about the changes within journalism around using interactivity for telling stories, and communicating uncertainty. The slides also include recommendations around avoiding mistakes.
At Data Journalism UK 2016 Andy Dickinson provided an insight into the ways that data journalism is being used at a hyperlocal level. Here are his slides.
Journalists today are faced with an overwhelming abundance of data – from large collections of leaked documents, to public databases about lobbying or government spending, to ‘big data’ from social networks such as Twitter and Facebook. To stay relevant to society journalists are learning to process this data and separate signal from noise in order to provide valuable insights to their readers. This talk will address questions like: What is the potential of data journalism? Why is it relevant to society? And how can you get started?
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
Data Journalism and the Remaking of Data InfrastructuresLiliana Bounegru
Talk given at the “Evidence and the Politics of Policymaking” Conference, University of Bath, 14th September 2016, on the basis of my PhD research at the University of Groningen and University of Ghent.
http://www.bath.ac.uk/ipr/events/news-0230.html.
Data Journalism lecture - Week 1: Introduction to Data Journalism
Lecture date: 9 Sep 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
The Politics of Open Data: Past, Present and FutureJonathan Gray
Slides for presentation on “The Politics of Open Data: Past, Present and Future” at the Data Power conference at the University of Sheffield, 22nd June 2015.
Talk on fake news as digital culture given at the Institute for Policy Research symposium on Politics, Fake News and the Post-Truth Era, University of Bath, 14 September 2017.
More about the talk here: http://lilianabounegru.org/2017/09/23/fake-news-in-digital-culture-at-2017-institute-for-policy-research-symposium/
More about the event here: http://www.bath.ac.uk/events/politics-fake-news-and-the-post-truth-era/
Fake News, Algorithmic Accountability and the Role of Data Journalism in the ...Liliana Bounegru
Talk given at the workshop 'How Can Public Interest Journalism Hold Algorithms to Account?' at the University of Cambridge on 23 March 2017.
More about the talk can be found here: http://lilianabounegru.org/2017/03/27/fake-news-algorithmic-accountability-data-journalism-post-truth-university-of-cambridge/
More about the workshop can be found here: http://www.crassh.cam.ac.uk/events/27130
Doing Social and Political Research in a Digital Age: An Introduction to Digi...Liliana Bounegru
Lecture given at the National Center of Competence in Research: Challenges to Democracy in the 21st Century, 5 November 2015, Zürich University, Zürich, Switzerland
AI should be Fair, Accountable and Transparent (FAT* AI), hence it's crucial to raise awareness among these topics not only among machine learning practitioners but among the entire population, as ML systems can take life-changing decisions and influence our lives now more than ever.
Due April 25.Application Process Flow AnalysisHave you ev.docxjacksnathalie
Due April 25.
Application: Process Flow Analysis
Have you ever encountered a process that had too many steps or was overly complicated? Perhaps you examined the process and looked for areas where you could remove steps or simplify its flow. If you did, you were conducting a process flow analysis. Process analysis is an important step in determining the financial well-being of an organization and pinpointing areas where changes could help improve the bottom line. In this Assignment, you will create a process flow analysis (also known as workflow diagramming) for an activity in your own organization (or one with which you are familiar).
To prepare:
•Review the information in the Learning Resources (including the Media) for this week dealing with how to perform a process flow analysis.
•Identify a process that is completed on a consistent basis in your organization (or one with which you are familiar). Examples of a process include such things as how a patient is moved through the system, or what must occur to prepare an examination room or hospital room for the next patient.
•Create a simple flow analysis map detailing the process using Microsoft Word using one of the methods below: ◦Select SmartArt from the Insert menu and select a diagram that matches the flowchart structure you would like to use.
◦Select Shapes from the Insert menu and select the shape that matches the flowchart piece you would like to use. Continue inserting shapes and connect them using the arrow shapes.
•Reflect on the ease or difficulty of obtaining the necessary information to create your flow analysis map.
•Identify “white space” as defined in the article, “Hospital Operating System: Unleashing Throughput Potential” found in the Learning Resources for this week.
•Determine strategies for improving the process flow.
•Reflect on the role of the process flow analysis in financial decision making and how it can have positive impacts on the process.
In a 3- to 4- page paper describe the process you analyzed and how you went about gathering the necessary information to create your flow analysis map. Identify specific areas of white space that need to be addressed and propose strategies for improving the process. Analyze how process flow analysis can be a useful tool in financial decision making and the ramifications of not using it. Be sure and include your flow analysis map when you turn in your paper.
Running Head: RACIAL PROFILING 1
RACIAL PROFILING 5
Racial Profiling
Shauna Heatherwick
SOC 203
Instructor Dreeke
March 16, 2015
RACIAL PROFILING
Introduction
Research conducted in the United States of America revealed that 47% of the respondents recognize that someone was treated unfairly by a police. Racial profiling in the United States is mainly through the law enforcement and it is a ...
Demystifying the Inner Workings of Amazon KeywordsBookNet Canada
Take a deep dive into the mysterious world of Amazon keywords. Using lessons learned from one publisher’s journey to uncover the online retailer’s inner workings and enhance discoverability, Leeman will offer advice on best practices, workarounds, and successful workflows. From character limits to lemmatization, no stone is left unturned.
Data Visualisation is a key tool in a any researcher’s toolbox nowadays. But since graphic methods were first designed and then revisited with the introduction of computers, we kind of stopped questioning data visualisation in terms of the real value that’s adding to our research and our ability to produce new knowledge.
Now with Big Data and the Real-Time web we are entering a whole new phase in the history of data Visualisation. New challenges lie ahead and new methods are being devised, so we felt compelled to look into it again to try and focus on how exactly data visualisation really helps us make sense of complexity.
Fresh from our presentation at BigDataWeek London last night, here’s a quick intro to the 10 reasons why we like visualising data.
Evaluating Real World Information (NJLA 2018)Megan Dempsey
Presented at the 2018 New Jersey Library Association Annual Conference. Discusses examples of misinformation and distorted information found online and a method for thinking critically about the information we encounter.
Essay On Stitch In Time Saves Nine. A Stitch In Time Saves Nine, Its Said - ...Brittany Simmons
A Stitch in Time Saves Nine Essay for Students and Children in English .... 10 Lines on A Stitch in Time Saves Nine for Students of Class 1, 2, 3 .... A Stitch in time saves nine paragraph writing - YouTube. Essay on A Stitch in Time Saves Nine For Students & Children. A Stitch in Time Saves Nine Essay in English - 700 Words - Ilmi Hub. A Stitch in Time Saves Nine’ – Meaning and Expansion of the Proverb.
A session that challenges professional and student journalists to dig deeper, deliver more accountability and bring an enterprising/investigative mindset to their work. Training will include examples of using records, documents, data and experiments to bring more impactful reporting. No matter what the size of your team, your journalism can go deeper. Bring your laptop for the exercises. No previous data experience is required. Trainer Aaron Mendelson is the data reporter at KPCC, the NPR affiliate in Los Angeles.
Creating a Data-Driven Government: Big Data With PurposeTyrone Grandison
The U.S. Department of Commerce collects, processes and disseminates data on a range of issues that impact our nation. Whether it's data on the economy, the environment, or technology, data is critical in fulfilling the Department's mission of creating the conditions for economic growth and opportunity. It is this data that provides insight, drives innovation, and transforms our lives. The U.S. Department of Commerce has become known as "America's Data Agency" due to the tens of thousands of datasets including satellite imagery, material standards and demographic surveys.
But having a host of data and ensuring that this data is open and accessible to all are two separate issues. The latter, expanding open data access, is now a key pillar of the Commerce Department's mission. It was this focus on enhancing open data that led to the creation of the Commerce Data Service (CDS).
The mission at the Commerce Data Service is to enable more people to use big data from across the department in innovative ways and across multiple fields. In this talk, I will explore how we are using big data to create a data-driven government.
This talk is a keynote given at the Texas tech University's Big Data Symposium.
Introduces the idea of "Just Enough Code" -- to add a 2- or 3-week module on Web coding into courses like editing, or design, or multimedia. There are 2 reasons to do this. One is to demystify how Web and mobile sites are made. The other is to open a door -- for (at least) some students -- to something they might really have an aptitude for, something they might really enjoy, if you just have a chance to explore it.
Multimedia Journalism Innovations in the ClassroomMindy McAdams
For a panel about "Innovation in Journalism Education": How teaching multimedia journalism has changed since 1999, and how I have adapted my classes and pushed my department to innovate. Journalism students don't have to be programmers, but they should have an opportunity to learn how to create new story forms for web and mobile platforms.
Summary of journalism faculty curriculum workshopMindy McAdams
At the end of a week-long workshop about updating the journalism curriculum at Rhodes University, we discussed a few specific types of assignments and assessment.
Introduction to crowdsourcing for journalists and journalism educators. Use of four cases and what we can learn from them. Three cases include maps; the fourth case does not.
Presentation about curriculum and required courses in journalism programs in the U.S. To lecturers at Rhodes dept. of Journalism and Media Studies, South Africa, June 2014.
Starter presentation in a weeklong workshop for journalism educators at Rhodes University, South Africa, in June 2014. We are trying to discover the needs of the journalism school as it goes forward with changes and updates in the curriculum. Purpose of this pres is to identify some areas where teaching needs to be focused, or refocused.
Blogs cover a very wide variety of styles and approaches. Blogs written by journalists, or housed on the websites of media organizations, are also widely varied. To understand blogs, blogging, and the audiences for blogs, we have to begin by looking at real blogs and comparing them. This presentation was given to 3rd-year journalism students at Rhodes University, South Africa.
Journalism's Future: Journalism, Not NewspapersMindy McAdams
Presentation to 150 journalists and editors at RCS MediaGroup S.p.A., Milan, Italy, May 2013. The goal was to inspire them to take their business forward into a mobile environment where competition comes from everywhere, not only the traditional rivals.
A university lecture for journalism students -- how to use the canvas element to add graphics and animation to Web pages. Updated April 2014. Basics for beginners. See also https://github.com/macloo/canvas
Updated with new exercises - March 2014. Introduction to jQuery (for journalism students) and review of the Code School "Try jQuery" course, Parts 1-3.
If you are using jQuery, you need to understand the Document Object Model and how it accounts for all the elements inside any HTML document or Web page.
An introduction to JavaScript that includes side-by-side comparisons with Python -- for journalism students. Based on the free JavaScript exercises/lessons at Codecademy: http://www.codecademy.com/tracks/javascript (Students in this course spent 4 weeks learning Python before they were introduced to JavaScript.)
An introduction to responsive design and Web frameworks -- for journalism students. Shows various examples. Includes links to resources. Updated February 2014.
Updated Feb. 9, 2014. This PPT is a review of color and fonts as used with HTML5 and CSS. Used in an undergraduate journalism class called Advanced Online Media Production.
Based on Zed Shaw's "Learn Python the Hard Way," this is a review of Exercises 27 - 34 in that text. For non-computer-science students and learners. Updated with new slides Feb. 2, 2014. Introduces Booleans, if-elif-else, loops, lists.
Based on Zed Shaw's "Learn Python the Hard Way," this is a review of Exercises 13 - 19 in that text. For non-computer-science students and learners. This PPT will not make sense without Zed's lessons. The PPT is intended to supplement and help explain these seven lessons. The PPT was updated on Jan. 17, 2014.
Based on Zed Shaw's "Learn Python the Hard Way," this is a review of Exercises 1 - 12 in that text. For non-computer-science students and learners. Updated with new slides Jan. 12, 2014. Introduces math, print statement, variables, format strings, raw_input().
Brief introduction to the Python programming language, for complete beginners who have never learned a programming language before. Resources and links are included.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
2. What is “a great story”? Convinces us of something Makes us question our assumptions Compels us to action Enlightens us: Brings a new realization Touches us: Connects to our humanity
13. Finding the story in data Data can be boring — if you don’t know what you’re looking for In raw form, numbers and words lack meaning A dataset is a bucket full of numbers “There are stories in that bucket” —Nathan Yau, Flowing Data
20. Visualizations allow us to understand and process enormous amounts of information quicklybecause it is all represented in a single imageor animation. 7 Things You Should Know About Data Visualization
21. nytimes.com Movie box office revenues, January 1986 to February 2008. Vertical shows weekly revenue amount. Horizontal shows how long the movie ran in theaters.
22. Data visualization includes: Design Organization Fact checking Detective work Research —Nathan Yau, Flowing Data
24. 4 common types of data graphics Maps Show patterns that occur in geographic space Bar charts Show simple numerical comparisons Line graphs Show continuous change over time Pie charts Show proportional differences See: Visualization Options Available in Many Eyes
28. nytimes.com Line graph compares time progression of present crisis with average of all past crises and with five worst worst crises (July 18, 2008)
29. Pie chart: FeedBurner.com stats showing which RSS readers sent traffic to the blog Teaching Online Journalism in 2007
30. Where to begin? Use Microsoft Excel Collect data and learn to sort it Make friends with a graphic designer Take a computer programming class Take a statistics class Take a geography class where you can learn to draw maps
32. Data-Driven Journalism Resources used for this presentation include Great Data Visualization Tells a Great Story, by Nathan Yau, and 7 Things You Should Know About Data Visualization