Innovation Network's Johanna Morariu and Ann K. Emery presented at the Young Nonprofit Professionals Network 2014 Annual Leadership Conference, which was held on May 9, 2014 in Washington, DC.
#JAGUnity2014: DataViz for Philanthropists! Tips, Tools, and How-Tos for Comm...Innovation Network
Presentation by Innovation Network's Johanna Morariu and Ann K. Emery at the Joint Affinity Groups Unity Conference, held June 6, 2014 in Washington, DC.
#YNPNdc14: DataViz! Tips, Tools, and How-tos for Visualizing Your Data (Handout)Innovation Network
Innovation Network's Johanna Morariu and Ann K. Emery presented at the Young Nonprofit Professionals Network 2014 Annual Leadership Conference, which was held on May 9, 2014 in Washington, DC.
Check out these notes from Veena Pankaj's Data Placemat session during #eval14 in Denver, Colorado!
A little bit about the session: Data placemats are used to communicate preliminary evaluation results to stakeholders prior to writing the final report. They offer stakeholders an opportunity to weigh their own judgments about the data and share their thoughts prior to the final report. In this session, Veena Pankaj described various ways to improve stakeholder engagement, as well as ways to increase stakeholder understanding of evaluation results.
Data Placemats: A DataViz Technique to Improve Stakeholder Understanding of E...Innovation Network
On October 25, 2012, Veena Pankaj of Innovation Network gave a 5-minute Ignite presentation at the American Evaluation Association's annual conference in Minneapolis, Minnesota. The presentation was titled, "Data Placemats: A DataViz Technique to Improve Stakeholder Understanding of Evaluation Results."
Innovation Network is a nonprofit evaluation, research, and consulting firm. We provide knowledge and expertise to help nonprofits and funders learn from their work to improve their results. To learn more, visit www.innonet.org.
Innovation Network's own workbook on evaluation planning. Can be used alone or in conjunction with the Evaluation Plan Builder at the Point K Learning Center.
#JAGUnity2014: DataViz for Philanthropists! Tips, Tools, and How-Tos for Comm...Innovation Network
Presentation by Innovation Network's Johanna Morariu and Ann K. Emery at the Joint Affinity Groups Unity Conference, held June 6, 2014 in Washington, DC.
#JAGUnity2014: DataViz for Philanthropists! Tips, Tools, and How-Tos for Comm...Innovation Network
Presentation by Innovation Network's Johanna Morariu and Ann K. Emery at the Joint Affinity Groups Unity Conference, held June 6, 2014 in Washington, DC.
#YNPNdc14: DataViz! Tips, Tools, and How-tos for Visualizing Your Data (Handout)Innovation Network
Innovation Network's Johanna Morariu and Ann K. Emery presented at the Young Nonprofit Professionals Network 2014 Annual Leadership Conference, which was held on May 9, 2014 in Washington, DC.
Check out these notes from Veena Pankaj's Data Placemat session during #eval14 in Denver, Colorado!
A little bit about the session: Data placemats are used to communicate preliminary evaluation results to stakeholders prior to writing the final report. They offer stakeholders an opportunity to weigh their own judgments about the data and share their thoughts prior to the final report. In this session, Veena Pankaj described various ways to improve stakeholder engagement, as well as ways to increase stakeholder understanding of evaluation results.
Data Placemats: A DataViz Technique to Improve Stakeholder Understanding of E...Innovation Network
On October 25, 2012, Veena Pankaj of Innovation Network gave a 5-minute Ignite presentation at the American Evaluation Association's annual conference in Minneapolis, Minnesota. The presentation was titled, "Data Placemats: A DataViz Technique to Improve Stakeholder Understanding of Evaluation Results."
Innovation Network is a nonprofit evaluation, research, and consulting firm. We provide knowledge and expertise to help nonprofits and funders learn from their work to improve their results. To learn more, visit www.innonet.org.
Innovation Network's own workbook on evaluation planning. Can be used alone or in conjunction with the Evaluation Plan Builder at the Point K Learning Center.
#JAGUnity2014: DataViz for Philanthropists! Tips, Tools, and How-Tos for Comm...Innovation Network
Presentation by Innovation Network's Johanna Morariu and Ann K. Emery at the Joint Affinity Groups Unity Conference, held June 6, 2014 in Washington, DC.
Presentation to the NY Data Visualization Meetup Dec 9, 2019
Links from the presentation are all available here: http://www.coolinfographics.com/nycmeetup
Description: Clicking the chart button isn’t enough. Good DataViz Design means going beyond the charting templates and designing visualizations that reveal insights and tell stories to your audience. Data visualizations are used in dashboards, websites, mobile applications, presentations, reports, infographics and more. There are hundreds of ways to visualize data, and once you have chosen an appropriate visualization style for your data, you should customize the design to make sure your audience quickly and easily understands your message. You need your own data visualization toolbox of applications and websites to create different kinds of visualizations, and all of your dataviz designs will benefit from these core principles of Good DataViz Design:
• Communicate a key message
• Avoid false visualizations
• Make your insight memorable with the Picture Superiority Effect
• Use pre-attentive attributes to focus your audience’s attention
• Reduce visual noise and clutter
• Build your credibility with data transparency
Designing Data Visualizations to Strengthen Health SystemsAmanda Makulec
Slide deck from our hands-on workshop hosted at the 4th Global Symposium on Health Systems Research, focused on basic design tips, tricks, and best practices to improve your charts and graphs.
Applying an intersectionality lens in data scienceData Con LA
Data Con LA 2020
Description
Data analytics is all about asking good questions and seeking informed answers that address a real need. But how do you decide which questions to ask, and whose needs are prioritized? Intersectionality, or overlapping race, gender, and other identity groupings that can result in discrimination, is a powerful framework to guide the design and execution of data science projects across industries and subject areas. An intersectionality framework challenges us to look more deeply at the structural and systemic underpinnings of the data and unpack assumptions around how the data is collected, analyzed, and presented in its context. At every stage of the data science project lifecycle, an intersectionality lens supports equitable results because it accounts for all identities within the scope of the project. In the definition and design phase, this requires attention to sources of subjectivity around the question or experiment to mitigate possible bias. During data collection, where and how data is collected determines whether the experiment is an accurate reflection of the environment and whether the representation of identities present leaves a population of people behind. Throughout the analysis, structuring and classifying data in traditional ways may not recognize the various groups that do not fall under "traditional" categories, opening the door to preconceived notions that can manifest as bias. Finally, this framework raises critical questions during the presentation and delivery phase: how is data from the experiment being framed? When presenting findings, are you subconsciously omitting negative outcomes?
*What is intersectionality?
*Opportunities for Bias in Data Science Projects
*Action Items
Speakers
Daphne Cheung, Disney, Data Scientist
Rachel Whaley, LA Tech4Good
Data Visualization Design Best Practices WorkshopAmanda Makulec
Presentation shared at the #MA4Health Data Visualization workshop cofacilitated with my colleague Tahmid Chowdhury. Our aim was to empower participants with simple principles they can apply to any graph or chart to improve its effectiveness in communicating information, and to share resources on viz design relevant to global health practitioners.
Data Visualization Design Best Practices WorkshopJSI
This introduction was presented as part of a workshop at the Measurement and Accountability for Results in Health Summit at the World Bank (June 2015). The workshop focused on simple ways anyone working with data can improve their presentations, and included visualization redesign activity to put these principles in practice.
A short workshop from MERL Tech 2016 on how we can think more purposefully about telling stories with our data and designing visualizations to bring those stories to life in global health and development.
Enterprise data literacy. A worthy objective? Certainly! A realistic goal? That remains to be seen. As companies consider investing in data literacy education, questions arise about its value and purpose. While the destination – having a data-fluent workforce – is attractive, we wonder how (and if) we can get there.
Kicking off this webinar series, we begin with a panel discussion to explore the landscape of literacy, including expert positions and results from focus groups:
- why it matters,
- what it means,
- what gets in the way,
- who needs it (and how much they need),
- what companies believe it will accomplish.
In this engaging discussion about literacy, we will set the stage for future webinars to answer specific questions and feature successful literacy efforts.
You've heard the news, Data Science is the cool new career opportunity sweeping the world. Come learn from Thinkful Mentors all about this new and exciting industry.
Talk presented at the Houston UX Professional Association (H-UXPA) meeting on May 23, 2018
Abstract:
Data visualization is a general term to describe any effort to help people understand the significance of data by putting it in a visual context. Important stories live in our data, and data visualization is a powerful way to discover, understand, and share these stories with others. Conveying the meaning behind the story is most effective when the information is easily and rapidly grasped by our eyes so that our brains can readily understand. Executing this process effectively is much more a science than an art, and requires an understanding of how human perception works. Join me in this journey where we will walk through how our brains decode information and how we can leverage perceptual principles to create meaningful graphical interfaces between people and data.
Principles and Practices of Data VisualizationKianJazayeri1
"Principles of Data Visualization" by Asst. Prof. Dr. Kian Jazayeri offers a deep dive into effective data representation techniques. The presentation begins by underlining the importance of data visualization in revealing true data insights, avoiding errors, and facilitating knowledge sharing. It challenges the viewer to think beyond basic charts, highlighting that effective visualization requires sophisticated skills to accurately convey complex information.
The deck uses Anscombe's Quartet to illustrate the misleading nature of statistics without proper visual representation, showcasing how different data distributions can look when graphed, despite having identical statistical summaries. This example sets the stage for discussing the necessity of visual analysis to uncover the real story behind the data.
Art appreciation parallels are drawn to emphasize the importance of visual aesthetics in data visualization. By comparing renowned artworks, the slides suggest that, like art, data visualization requires a developed sense of design and aesthetics to communicate effectively and make an impact.
Edward Tufte's visualization principles are explored in depth, advocating for a high data-ink ratio, and warning against the lie factor—where the representation of data misleads more than it informs. The presentation also addresses chartjunk, encouraging the removal of unnecessary visual elements that do not add value to the data's understanding.
Dr. Jazayeri emphasizes graphical integrity, advising against scale distortion and advocating for accurate, clear labeling to maintain the data's true proportion and context. The concept of aspect ratios is discussed, advising a balance to avoid visual misrepresentation of trends.
Interactive elements within the slides engage viewers, prompting them to analyze different visualizations and understand how quickly and accurately data can be interpreted. This engagement highlights the "10-Second Rule," the idea that effective visualizations should allow quick and unambiguous data interpretation.
Color usage in data visualization is another focal point, with explanations on how different colors and their intensities can significantly affect data interpretation. Special attention is given to designing for color blindness, ensuring inclusivity in data communication.
Advanced topics include data maps, cartograms, scatter plots, and heatmaps, each discussed with their specific applications and potential for overplotting or misinterpretation. The presentation also critiques tabular data, suggesting improvements for clarity, comparison, and highlighting critical information.
Renowned works, like Minard's depiction of Napoleon's Russian campaign and Marey’s train schedule, are dissected to demonstrate how effective visual storytelling can enhance the comprehension of complex data narratives.
Effective Business Presentations with Storyboarding and Data VisualizationCarmen Proctor
Create Effective Presentations by learning a few basic steps and best practices. Deliver concise, to the point, and visually appealing presentations to both internal and external clients. Use storyboarding and correct data visualization are the key to getting your message across.
This will help you:
- Shorten extremely long presentations
- Deliver content in a very clear and easy to understand manner
- Simplify very data heavy presentations
- Keep focus on the project objectives, not filling the white space
Data Visualisation - A Game of Decisions with Andy KirkSAGE Publishing
These are the slides from Andy Kirk's webinar 'Data Visualisation - A Game of Decisions'. In the webinar Andy argues that the essence of effective data visualisation design is good decision-making. It is about knowing your options and understanding how to make your choices. By deconstructing the decisions demonstrated through case study examples, Andy illustrates the many little elements that make up the design anatomy of any data visualisation work. The aim of this session is to try demystify the challenges of developing capabilities in this area. Watch the webinar: https://www.youtube.com/watch?v=GVkXbQOzKNs&feature=youtu.be
Your essay assignment involves responding to and taking a position.docxdanhaley45372
Your essay assignment involves responding to and taking a position on the term “colorism” and “anti-blackness” and how these ideas still impacts the social and racial dynamics within the construct of not only people of African descent and their communities, but other people of color such as LatinX, Asian, Filipino and Pacific Islanders, respectively. This is an opportunity for you to make connections regarding intersectionality across all color-lines, and to demonstrate the similarities and the difficulties various ethnic groups deal with in navigating, the issue of color discrimination. Your essay must be five double-spaced pages specifically addressing the topic given below. Refer to your “Formal Essay Guidelines” handout for details about essay policies and formatting guidelines. Carefully reread the documents provided which discuss colorism and anti-blackness. Make sure to prepare yourself to use information from those online pdfs to help you support and clarify your own points and ideas. To help you with developing and organizing ideas for your essay, plan out your ideas on your Planning & Prewriting Worksheet (handout) before writing your first draft. Feel free to discuss your ideas and drafts with me and/or a tutor, and go to the Writing/Reading Lab in the Learning Center (Bldg. 5) to get additional assistance on your essay.
* * * * * * * * * * * * * * * * * * *
ESSAY TOPIC
The concept of colorism within various communities of color has plague those with darker skin complexions and afforded others with lighter skin tones with privilege and the ability to use their lightskinned privilege to navigate a world of racial and identity politics. In your essay, demonstrate how complex issues around colorism proposes on both sides of the spectrum. What are the overarching themes and concerns that presents itself with color being at the center of social, cultural, political and economic opportunities in our society. Present in your essay, why most people tend to cater toward lighter-skinned individuals versus darker-skinned individuals and how this provides a hierarchy of racial positionality, and a level of social status and privilege
Show through quotes, analysis, and the use of other sources how colorism and anti-blackness work as a contrived system to incarcerate black and brown people from a mental and psychological perspective. Draw upon historic evidence to support your claims. Carefully consider all the readings you have critiqued, and used
them as a point of entry to make your position. In your essay of five pages, discuss whether or not you believe colorism negatively or positively impact black in brown folks in society at large.
Remember to do the following in your essay: 1) state your own position in your thesis statement; and 2) support your thesis by discussing specific points that address your position in any article or academic journal use from your research. All in all, your essay will include a combination of you.
Refreshing Evaluation in Support of the Social Movements RevivalInnovation Network
There is a growing social consciousness in America and a revival of using social movements as a vehicle for social change—with increasing nonprofit involvement and philanthropic funding support. Since the mid-2000’s there have been several notable movements that have taken hold of the public consciousness: the immigration reform movement and DREAMers, The Occupy Movement, Gay Marriage, climate change movement, Black Lives Matter, and a nascent, potential movement developing in protest of the Trump Administration. While evaluating movements has some parallels to established evaluation practice, it also represents some thorny challenges. In a session presented at the American Evaluation Association Conference on November 10, 2017, we explore and share what we are learning about evaluating social movements, including: what we know about social movements, their components, characteristics, and types; what aspects of social movements are ripe for evaluation; and what existing evaluation approaches are well suited to evaluating social movements.
Innovation Network's Veena Pankaj and ORS Impact's Mel Howlett share dataviz products that can be used throughout the evaluation lifecycle, including theory of change, social network analysis, data placemat, strategic debrief deck, H-form, visual report deck, visual executive summary, and timeline.
More Related Content
Similar to #YNPNdc14: DataViz! Tips, Tools, and How-tos for Visualizing Your Data (Slides)
Presentation to the NY Data Visualization Meetup Dec 9, 2019
Links from the presentation are all available here: http://www.coolinfographics.com/nycmeetup
Description: Clicking the chart button isn’t enough. Good DataViz Design means going beyond the charting templates and designing visualizations that reveal insights and tell stories to your audience. Data visualizations are used in dashboards, websites, mobile applications, presentations, reports, infographics and more. There are hundreds of ways to visualize data, and once you have chosen an appropriate visualization style for your data, you should customize the design to make sure your audience quickly and easily understands your message. You need your own data visualization toolbox of applications and websites to create different kinds of visualizations, and all of your dataviz designs will benefit from these core principles of Good DataViz Design:
• Communicate a key message
• Avoid false visualizations
• Make your insight memorable with the Picture Superiority Effect
• Use pre-attentive attributes to focus your audience’s attention
• Reduce visual noise and clutter
• Build your credibility with data transparency
Designing Data Visualizations to Strengthen Health SystemsAmanda Makulec
Slide deck from our hands-on workshop hosted at the 4th Global Symposium on Health Systems Research, focused on basic design tips, tricks, and best practices to improve your charts and graphs.
Applying an intersectionality lens in data scienceData Con LA
Data Con LA 2020
Description
Data analytics is all about asking good questions and seeking informed answers that address a real need. But how do you decide which questions to ask, and whose needs are prioritized? Intersectionality, or overlapping race, gender, and other identity groupings that can result in discrimination, is a powerful framework to guide the design and execution of data science projects across industries and subject areas. An intersectionality framework challenges us to look more deeply at the structural and systemic underpinnings of the data and unpack assumptions around how the data is collected, analyzed, and presented in its context. At every stage of the data science project lifecycle, an intersectionality lens supports equitable results because it accounts for all identities within the scope of the project. In the definition and design phase, this requires attention to sources of subjectivity around the question or experiment to mitigate possible bias. During data collection, where and how data is collected determines whether the experiment is an accurate reflection of the environment and whether the representation of identities present leaves a population of people behind. Throughout the analysis, structuring and classifying data in traditional ways may not recognize the various groups that do not fall under "traditional" categories, opening the door to preconceived notions that can manifest as bias. Finally, this framework raises critical questions during the presentation and delivery phase: how is data from the experiment being framed? When presenting findings, are you subconsciously omitting negative outcomes?
*What is intersectionality?
*Opportunities for Bias in Data Science Projects
*Action Items
Speakers
Daphne Cheung, Disney, Data Scientist
Rachel Whaley, LA Tech4Good
Data Visualization Design Best Practices WorkshopAmanda Makulec
Presentation shared at the #MA4Health Data Visualization workshop cofacilitated with my colleague Tahmid Chowdhury. Our aim was to empower participants with simple principles they can apply to any graph or chart to improve its effectiveness in communicating information, and to share resources on viz design relevant to global health practitioners.
Data Visualization Design Best Practices WorkshopJSI
This introduction was presented as part of a workshop at the Measurement and Accountability for Results in Health Summit at the World Bank (June 2015). The workshop focused on simple ways anyone working with data can improve their presentations, and included visualization redesign activity to put these principles in practice.
A short workshop from MERL Tech 2016 on how we can think more purposefully about telling stories with our data and designing visualizations to bring those stories to life in global health and development.
Enterprise data literacy. A worthy objective? Certainly! A realistic goal? That remains to be seen. As companies consider investing in data literacy education, questions arise about its value and purpose. While the destination – having a data-fluent workforce – is attractive, we wonder how (and if) we can get there.
Kicking off this webinar series, we begin with a panel discussion to explore the landscape of literacy, including expert positions and results from focus groups:
- why it matters,
- what it means,
- what gets in the way,
- who needs it (and how much they need),
- what companies believe it will accomplish.
In this engaging discussion about literacy, we will set the stage for future webinars to answer specific questions and feature successful literacy efforts.
You've heard the news, Data Science is the cool new career opportunity sweeping the world. Come learn from Thinkful Mentors all about this new and exciting industry.
Talk presented at the Houston UX Professional Association (H-UXPA) meeting on May 23, 2018
Abstract:
Data visualization is a general term to describe any effort to help people understand the significance of data by putting it in a visual context. Important stories live in our data, and data visualization is a powerful way to discover, understand, and share these stories with others. Conveying the meaning behind the story is most effective when the information is easily and rapidly grasped by our eyes so that our brains can readily understand. Executing this process effectively is much more a science than an art, and requires an understanding of how human perception works. Join me in this journey where we will walk through how our brains decode information and how we can leverage perceptual principles to create meaningful graphical interfaces between people and data.
Principles and Practices of Data VisualizationKianJazayeri1
"Principles of Data Visualization" by Asst. Prof. Dr. Kian Jazayeri offers a deep dive into effective data representation techniques. The presentation begins by underlining the importance of data visualization in revealing true data insights, avoiding errors, and facilitating knowledge sharing. It challenges the viewer to think beyond basic charts, highlighting that effective visualization requires sophisticated skills to accurately convey complex information.
The deck uses Anscombe's Quartet to illustrate the misleading nature of statistics without proper visual representation, showcasing how different data distributions can look when graphed, despite having identical statistical summaries. This example sets the stage for discussing the necessity of visual analysis to uncover the real story behind the data.
Art appreciation parallels are drawn to emphasize the importance of visual aesthetics in data visualization. By comparing renowned artworks, the slides suggest that, like art, data visualization requires a developed sense of design and aesthetics to communicate effectively and make an impact.
Edward Tufte's visualization principles are explored in depth, advocating for a high data-ink ratio, and warning against the lie factor—where the representation of data misleads more than it informs. The presentation also addresses chartjunk, encouraging the removal of unnecessary visual elements that do not add value to the data's understanding.
Dr. Jazayeri emphasizes graphical integrity, advising against scale distortion and advocating for accurate, clear labeling to maintain the data's true proportion and context. The concept of aspect ratios is discussed, advising a balance to avoid visual misrepresentation of trends.
Interactive elements within the slides engage viewers, prompting them to analyze different visualizations and understand how quickly and accurately data can be interpreted. This engagement highlights the "10-Second Rule," the idea that effective visualizations should allow quick and unambiguous data interpretation.
Color usage in data visualization is another focal point, with explanations on how different colors and their intensities can significantly affect data interpretation. Special attention is given to designing for color blindness, ensuring inclusivity in data communication.
Advanced topics include data maps, cartograms, scatter plots, and heatmaps, each discussed with their specific applications and potential for overplotting or misinterpretation. The presentation also critiques tabular data, suggesting improvements for clarity, comparison, and highlighting critical information.
Renowned works, like Minard's depiction of Napoleon's Russian campaign and Marey’s train schedule, are dissected to demonstrate how effective visual storytelling can enhance the comprehension of complex data narratives.
Effective Business Presentations with Storyboarding and Data VisualizationCarmen Proctor
Create Effective Presentations by learning a few basic steps and best practices. Deliver concise, to the point, and visually appealing presentations to both internal and external clients. Use storyboarding and correct data visualization are the key to getting your message across.
This will help you:
- Shorten extremely long presentations
- Deliver content in a very clear and easy to understand manner
- Simplify very data heavy presentations
- Keep focus on the project objectives, not filling the white space
Data Visualisation - A Game of Decisions with Andy KirkSAGE Publishing
These are the slides from Andy Kirk's webinar 'Data Visualisation - A Game of Decisions'. In the webinar Andy argues that the essence of effective data visualisation design is good decision-making. It is about knowing your options and understanding how to make your choices. By deconstructing the decisions demonstrated through case study examples, Andy illustrates the many little elements that make up the design anatomy of any data visualisation work. The aim of this session is to try demystify the challenges of developing capabilities in this area. Watch the webinar: https://www.youtube.com/watch?v=GVkXbQOzKNs&feature=youtu.be
Your essay assignment involves responding to and taking a position.docxdanhaley45372
Your essay assignment involves responding to and taking a position on the term “colorism” and “anti-blackness” and how these ideas still impacts the social and racial dynamics within the construct of not only people of African descent and their communities, but other people of color such as LatinX, Asian, Filipino and Pacific Islanders, respectively. This is an opportunity for you to make connections regarding intersectionality across all color-lines, and to demonstrate the similarities and the difficulties various ethnic groups deal with in navigating, the issue of color discrimination. Your essay must be five double-spaced pages specifically addressing the topic given below. Refer to your “Formal Essay Guidelines” handout for details about essay policies and formatting guidelines. Carefully reread the documents provided which discuss colorism and anti-blackness. Make sure to prepare yourself to use information from those online pdfs to help you support and clarify your own points and ideas. To help you with developing and organizing ideas for your essay, plan out your ideas on your Planning & Prewriting Worksheet (handout) before writing your first draft. Feel free to discuss your ideas and drafts with me and/or a tutor, and go to the Writing/Reading Lab in the Learning Center (Bldg. 5) to get additional assistance on your essay.
* * * * * * * * * * * * * * * * * * *
ESSAY TOPIC
The concept of colorism within various communities of color has plague those with darker skin complexions and afforded others with lighter skin tones with privilege and the ability to use their lightskinned privilege to navigate a world of racial and identity politics. In your essay, demonstrate how complex issues around colorism proposes on both sides of the spectrum. What are the overarching themes and concerns that presents itself with color being at the center of social, cultural, political and economic opportunities in our society. Present in your essay, why most people tend to cater toward lighter-skinned individuals versus darker-skinned individuals and how this provides a hierarchy of racial positionality, and a level of social status and privilege
Show through quotes, analysis, and the use of other sources how colorism and anti-blackness work as a contrived system to incarcerate black and brown people from a mental and psychological perspective. Draw upon historic evidence to support your claims. Carefully consider all the readings you have critiqued, and used
them as a point of entry to make your position. In your essay of five pages, discuss whether or not you believe colorism negatively or positively impact black in brown folks in society at large.
Remember to do the following in your essay: 1) state your own position in your thesis statement; and 2) support your thesis by discussing specific points that address your position in any article or academic journal use from your research. All in all, your essay will include a combination of you.
Refreshing Evaluation in Support of the Social Movements RevivalInnovation Network
There is a growing social consciousness in America and a revival of using social movements as a vehicle for social change—with increasing nonprofit involvement and philanthropic funding support. Since the mid-2000’s there have been several notable movements that have taken hold of the public consciousness: the immigration reform movement and DREAMers, The Occupy Movement, Gay Marriage, climate change movement, Black Lives Matter, and a nascent, potential movement developing in protest of the Trump Administration. While evaluating movements has some parallels to established evaluation practice, it also represents some thorny challenges. In a session presented at the American Evaluation Association Conference on November 10, 2017, we explore and share what we are learning about evaluating social movements, including: what we know about social movements, their components, characteristics, and types; what aspects of social movements are ripe for evaluation; and what existing evaluation approaches are well suited to evaluating social movements.
Innovation Network's Veena Pankaj and ORS Impact's Mel Howlett share dataviz products that can be used throughout the evaluation lifecycle, including theory of change, social network analysis, data placemat, strategic debrief deck, H-form, visual report deck, visual executive summary, and timeline.
During the 2015 American Evaluation Association's Annual Conference in Chicago, Katherine Haugh and Deborah Grodzicki conducted a real time data mini-study to see which evaluation approaches evaluators at #eval15 use most frequently in their work. Basing their mini-study off of Marvin C. Alkin's "Evaluation Roots: A Wider Perspective of Theorists’ Views and Influences," they asked evaluators to vote for the top two approaches they used most often. This handout accompanied the real time data mini-study to provide more information about the formation of the evaluation theory tree, it's three branches, and definitions of the evaluation approaches associated with each branch.
Putting Data in Context: Timelining for Evaluators (HANDOUT)Innovation Network
Creating a timeline is a method for picturing or seeing events as they take place over time. The full PowerPoint slides of this presentation are also available in SlideShare. Search for the title "Putting Data in Context: Timelining for Evaluators".
[Link: http://www.slideshare.net/InnoNet_Eval/putting-data-in-context-timelining-for-evaluators ]
Creating a timeline is a method for picturing or seeing events as they take place over time. By documenting major occurrences in chronological order, evaluators are able to identify patterns, themes, or trends that they may not have seen otherwise. A timeline allows evaluators to “zoom out” and look at the broader landscape, so that they are better positioned to think through and understand the context in which events occur. Having a timeline is especially useful for complex, multi-year evaluation projects with several threads of evaluation, where documenting the process is just as important as measuring the outcome itself. Creating a timeline has three key components: planning, populating, and revising. This presentation shows how to incorporate a timeline into a report, how to use a timeline to track progress internally, and how to utilize data visualization principles to create a visual timeline.
Highlights of this presentation are also available in our handout titled "Putting Data in Context: Timelining for Evaluators (HANDOUT)".
[Link: http://www.slideshare.net/InnoNet_Eval/putting-data-in-context-timelining-for-evaluators-handout ]
Data Placemats: Construction and Practical Design TipsInnovation Network
Increasing stakeholder involvement throughout the evaluation lifecycle, not only enhances stakeholder buy-in to the final evaluation results, but it also ensures that the evaluator is taking into consideration multiple viewpoints to be able to provide a more comprehensive picture of a program or initiative. Data placemats, a data viz technique to improve stakeholder understanding of data, can be used to communicate preliminary evaluation results during the analysis phase of the evaluation life cycle. When done correctly, it offers stakeholders an opportunity to form their own judgments about the data and weigh in prior to the final report. In this session, the presenter will review the concept of data placemats, focusing specifically on the nuts and bolts of constructing a data placemat.
Real Time Evaluation: Tips, Tools, and Tricks of the TradeInnovation Network
How can an evaluator meaningfully convey findings to stakeholders based on data collected that same day? How can real time evaluation really be done in real time? This Ignite talk is based on Innovation Network’s experiences with facilitating real time evaluation in health policy settings, and will introduce AEA participants to three tools that can be used as part of any evaluator’s real time evaluation toolbox: surveys, H-forms, and timelines. Yuqi Wang from Innovation Network will provide an overview of each tool; show how these tools can aid data collection, analysis, and communication of findings in real time; and lessons learned from Innovation Network’s experiences with these three tools during the evaluation process.
Collecting and analyzing data in real time doesn't have to be as stressful or hard as it sounds, especially if you want to collect real time data using surveys. There is a short way and a long way to collect real time survey data. The short way of collecting and analyzing survey data is to use software that has the capability of collecting and analyzing survey data when embedded into powerpoints or webinars. The long way is to use hard copies of surveys to collect data, and Excel to analyze. This document will show you step by step how to collect and analyze survey data the long way.
Make Your Data Count: Tips & Tools for Visual Reporting Innovation Network
In their session at YNPNdc's 2015 Annual Conference in Washington, DC, Johanna Morariu and Katherine Haugh presented on helpful tips and tools for visual reporting. This handout includes their suggestions, great examples of visual reports, and tools anyone can access to create powerful visual reports.
Make Your Data Count: New, Visual Approaches to Evaluation Reporting Innovation Network
Charts and graphs built on dataviz principles are transforming evaluation reporting and increasing the evaluator's communication power. At YNPNdc's 2015 Annual Conference in Washington DC, Johanna Morariu and Katherine Haugh will provide principles and case studies of new, visual approaches to evaluation reporting. The session will provide examples, such as incorporating a wealth of visuals in text reports, using large format hand-outs to emphasize findings, and designing slide reports.
Success and Failure in the Evaluation Process
What do the terms “success” and “failure” really mean in the philanthropic world? Funders have taken different approaches to learning from initiatives that haven’t gone quite as they had hoped. Some funders want to learn from their mistakes, some provide technical assistance to lagging grantees, and some want to focus their light on “bright spots” and grantee successes. In this session, Kat Athanasiades from Innovation Network will discuss how and when her organization uses grant reports in evaluation; how and why getting good evaluation data from grant reports is difficult; and potential ways to make it easier for grantees to report on failure in a way that could be useful to evaluators.
Session participants will:
•Know how funders can embed “failure reporting” into grant reports in ways that are useful to evaluators.
•Learn ways a foundation can combat some of the "structural" impediments, e.g., trust and communication, that may prevent proper reporting on failure.
•Gain ideas from fellow participants on how to understand and appreciate grantmaking "failures" as well as successes.
Since its inception in 2000, the Missouri Foundation for Health (MFH) has invested in policy change in Missouri. Recognizing a dearth of organizations with the capacity to advocate for Missouri health consumers, MFH broadened its grantmaking vision to building a field of consumer health advocates. Using the Framework for Evaluating Advocacy Field Building, Innovation Network and the Center for Evaluation Innovation are currently gauging how MFH shapes this field through its grantmaking. This presentation will focus on evaluating two dimensions of the Framework of this field: Adaptive Capacity and Skills & Resources. A discussion of data collection activities will give the audience ideas about how to evaluate these dimensions, lessons learned from the process, and what has been revealed through the evaluation about Skills & Resources and Adaptive Capacity in a field.
Handout for the session, "Data Placemats: A DataViz Technique to Improve Stakeholder Understanding of Evaluation Results" presented at the American Evaluation Association's 2014 conference.
#JAGUnity2014: Innovations in Evaluating Social MovementsInnovation Network
Today, social movement organizers are grappling with big questions: What is the long-term impact we are hoping to make? How can we measure the progress we've made thus far? How can we learn from past practice?
On June 7, 2014, Innovation Netowrk's William Fenn spoke on a panel with with Deepak Pateriya and Sian O'Faolain of the Center for Community Change and Hillary Klein of Make the Road New York to try and answer some of these questions. The presentation highlighted specific ways in which social movement organizers can evaluate the impact of their work.
Evaluation Essentials for Nonprofits: Terms, Tips, and TrendsInnovation Network
These slides are an excerpt from an evaluation session for the Young Nonprofit Professionals Network (YNPN), which was held in June 2014 in Washington, DC.
Innovation Network's own workbook (revised in 2010), offering an introduction to the processes and concepts of the logic model. This workbook can be used alone or in conjunction with the Logic Model Builder at the Point K Learning Center.
Assessing the Capacity of Community Coalitions to Advocate for Change (Presen...Innovation Network
Research has shown that high-capacity coalitions are more successful in effecting community change. But what does “high capacity” mean? Evaluators have developed tools to provide an answer, but documentation is scarce regarding how they are implemented, how the results are used, and whether they predict coalition success in collaborative community change efforts. This breakfast talk will focus on a coalition assessment tool designed by Innovation Network to assess changes in coalition capacity over time.
Developed for a health promotion initiative of the Kansas Health Foundation, this tool is designed to assess coalition progress in seven key areas across twelve different community coalitions, over the course of a four-year initiative. The Innovation Network team will share lessons learned from the first year of the initiative about developing and deploying the assessment tool, as well as what these tools can—and can’t—tell us about a coalition’s capacity to conduct community change work. They will also present some data visualization techniques for effectively communicating results back to coalitions.
Russian anarchist and anti-war movement in the third year of full-scale warAntti Rautiainen
Anarchist group ANA Regensburg hosted my online-presentation on 16th of May 2024, in which I discussed tactics of anti-war activism in Russia, and reasons why the anti-war movement has not been able to make an impact to change the course of events yet. Cases of anarchists repressed for anti-war activities are presented, as well as strategies of support for political prisoners, and modest successes in supporting their struggles.
Thumbnail picture is by MediaZona, you may read their report on anti-war arson attacks in Russia here: https://en.zona.media/article/2022/10/13/burn-map
Links:
Autonomous Action
http://Avtonom.org
Anarchist Black Cross Moscow
http://Avtonom.org/abc
Solidarity Zone
https://t.me/solidarity_zone
Memorial
https://memopzk.org/, https://t.me/pzk_memorial
OVD-Info
https://en.ovdinfo.org/antiwar-ovd-info-guide
RosUznik
https://rosuznik.org/
Uznik Online
http://uznikonline.tilda.ws/
Russian Reader
https://therussianreader.com/
ABC Irkutsk
https://abc38.noblogs.org/
Send mail to prisoners from abroad:
http://Prisonmail.online
YouTube: https://youtu.be/c5nSOdU48O8
Spotify: https://podcasters.spotify.com/pod/show/libertarianlifecoach/episodes/Russian-anarchist-and-anti-war-movement-in-the-third-year-of-full-scale-war-e2k8ai4
ZGB - The Role of Generative AI in Government transformation.pdfSaeed Al Dhaheri
This keynote was presented during the the 7th edition of the UAE Hackathon 2024. It highlights the role of AI and Generative AI in addressing government transformation to achieve zero government bureaucracy
Presentation by Jared Jageler, David Adler, Noelia Duchovny, and Evan Herrnstadt, analysts in CBO’s Microeconomic Studies and Health Analysis Divisions, at the Association of Environmental and Resource Economists Summer Conference.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
This session provides a comprehensive overview of the latest updates to the Uniform Administrative Requirements, Cost Principles, and Audit Requirements for Federal Awards (commonly known as the Uniform Guidance) outlined in the 2 CFR 200.
With a focus on the 2024 revisions issued by the Office of Management and Budget (OMB), participants will gain insight into the key changes affecting federal grant recipients. The session will delve into critical regulatory updates, providing attendees with the knowledge and tools necessary to navigate and comply with the evolving landscape of federal grant management.
Learning Objectives:
- Understand the rationale behind the 2024 updates to the Uniform Guidance outlined in 2 CFR 200, and their implications for federal grant recipients.
- Identify the key changes and revisions introduced by the Office of Management and Budget (OMB) in the 2024 edition of 2 CFR 200.
- Gain proficiency in applying the updated regulations to ensure compliance with federal grant requirements and avoid potential audit findings.
- Develop strategies for effectively implementing the new guidelines within the grant management processes of their respective organizations, fostering efficiency and accountability in federal grant administration.
Understanding the Challenges of Street ChildrenSERUDS INDIA
By raising awareness, providing support, advocating for change, and offering assistance to children in need, individuals can play a crucial role in improving the lives of street children and helping them realize their full potential
Donate Us
https://serudsindia.org/how-individuals-can-support-street-children-in-india/
#donatefororphan, #donateforhomelesschildren, #childeducation, #ngochildeducation, #donateforeducation, #donationforchildeducation, #sponsorforpoorchild, #sponsororphanage #sponsororphanchild, #donation, #education, #charity, #educationforchild, #seruds, #kurnool, #joyhome
4. Human brains are wired to speak
and understand spoken language.
People have to be taught to read
and write.
Understanding the written word is not a natural
human ability; but human brains do innately
process shapes.
Dataviz & the Human Brain
13. 61% 89%
50% 85%
67% 82%
55% 81%
75%56%
82%52%
78%57%
57% 81%
0% 20% 40% 60% 80% 100%
TA Provider’s
Scores
(n=1)
Leadership Team
Members’ Scores
(n=9)
Overall
Basic Functioning and Structure
Ability to Develop and Cultivate Champions
Leadership
Ability to Develop Allies and Partnerships
Reputation and Visibility
Ability to Learn from the Community
Sustainability
Community 1
17. Dataviz Design Process
1
Reduce the clutter2
3
4
Directly label
Emphasize key findings with color
Summarize your story in the title5
Select your story
6
7
Are you doing it right?
Share
18. Which chart is best
for my data?
Select your story
Choose 1 finding (of many possible options) to highlight1
35. 1 Reduce the clutter
Remove or reduce the border, grid lines, and tick marks2
0
20
40
60
80
100
0 20 40 60 80 100
0
20
40
60
80
100
0 20 40 60 80 100
36. Directly label
Lose the legend—place details right next to the data3
DC
Maryland
Virginia
Category 1
Category 2
Category 3
DC
Maryland
Virginia
Category 1
Category 2
Category 3
55. Social network maps
NodeXL tutorial: slideshare.net/j_morariu
286 #wfsn13 Twitter users
1,149 #wfsn13 tweets
In-person vs. online: For
every 2 conference
attendees, 1 person
tweeted about the
conference