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Wednesday 3 Jun 2020

Storytelling

Ruth Milligan, Sandy SteigerDelaware 2

While data increases its influence in making business decisions and driving strategies, sharing insights requires the understanding of story to make the data come to life. The story means the way in which we reveal the problem, the solution and the ultimate impact that data will inform. This class will focus on how to take a basic data set and turn it into a compelling story that will resonate with your business partners. Bring a data set you are working on to apply during class.

Note: This class will not address data visualization.

As an executive speech coach and trainer, Ruth Milligan now lives at the intersection of deep knowledge fields like science and research to medicine and data / analytics married with speakers’ desires to be highly resonating and engaging. This is a culmination her nearly 30 year career practicing some form of communications. Ruth founded Articulation in early 2010 after hosting one of the first TEDx events, TEDxColumbus, which is also now one of the longest running TEDx programs in the world. Since then she and her team have coached over 500 people in TEDx or TED-style talks alongside training thousands in their original classes on content framing, storytelling, public speaking, executive presence and accessing science. Her processional passion is to help organizations of all sizes create storytelling cultures that elevate the opportunities for associates and executives to practice and deliver great presentations. She believes that a great talk can come from a nervous, reluctant or beginning speaker, given the right feedback and development environment. After ten years of curating, organizing and hosting TEDx events, she is also a seasoned host, emcee and consultant to a wide range of events from major donor events at universities to pitch events inside data and analytics teams. Ruth has been the official speaker coach for the Women in Analytics presenters since 2017 and helped to host the main stage presenters in 2018. She lives in Columbus with her husband and two teenage children. As Director of the Center for Analytics and Data Science, Sandy Steiger is responsible for providing co-curricular experiences that allow students to embrace the application of analytics and data science. Prior to joining Miami University, Steiger spent 15 years at 84.51° and dunnhumbyUSA. Her most recent role was Vice President, Data Science & Analytics, where she was responsible for developing a strategic roadmap that would bring transformational, innovative thinking to 84.51°, focused on driving data science at scale across the Enterprise. Steiger holds a Master of Science in Statistics from Miami University, Ohio, and a Bachelor of Arts in Mathematics and Business from Mount St. Joseph University.
Documentsruth sandy (346 KB)
Wed 8:00 am – 12:00 pm
Workshop
presentation, ruth milligan, sandy steiger, Storytelling

8:00 am

Introduction to Machine Learning in R

Katie Sasso-Schafer, Ezgi KaraesmenDelaware 1

Are you sick and tired of manually manipulating data in excel? Are you interested in learning one of the most popular FREE (i.e., open source) data science programming languages out there? WIA’s Introduction to R workshop will provide a complete crash course on the full data science workflow from cleaning and wrangling to visualization, modeling, and repeatable reporting. Two RStudio Certified Tidyverse Instructors will cover the essentials of popular R packages including ggplot2, tidyr, dplyr, tidymodels, and rmarkdown, . Code will be made available to attendees via RStudio Cloud prior to and following this hands-on-keyboard session, allowing beginner level users to dive right in and revisit materials after training. No programming experience is required for the workshop, however interested attendees are encouraged to explore the online book “R for Data Science” which can be found at https://r4ds.had.co.nz/

Ezgi Karaesmen is a PhD candidate at the Ohio State University College of Pharmacy. She is a genomic data scientist with cancer biology background. Currently, she works with large genomic and clinical datasets in the context of bone marrow transplants. Broadly, she is interested in associations of germline genetic variants with survival events of leukemia patients following their transplant. Katie Sasso-Schafer, Ph.D. is Director of Data Science at the Columbus Collaboratory. She received her Ph.D. from The Ohio State University with a focus on Experimental and Quantitative (minor) Psychology. During her Ph.D. program, she worked as a graduate research associate at the Nationwide Insurance Center for Advanced Customer Insights, using experimental methods and statistical analyses to optimize customer outreach and develop novel risk assessment strategies. At the Columbus Collaboratory, Katie leads a variety of projects across several industries. She also enjoys leading Use Case Discovery Workshops and managing project progress across the team. Outside of work, Katie is an avid R user and co-organizer of R-Ladies Columbus meet up. Katie also is an alumni advisor and space coordinator for the Erdos Institute, which focuses on prepping transitioning PhD talent to industry.
Wed 8:00 am – 12:00 pm
Workshop
columbus collaboratory, ezgi karaesmen, katie sasso-schafer, machine learning, r, the ohio state university, workshop

Storytelling

Ruth Milligan, Sandy SteigerDelaware 2

While data increases its influence in making business decisions and driving strategies, sharing insights requires the understanding of story to make the data come to life. The story means the way in which we reveal the problem, the solution and the ultimate impact that data will inform. This class will focus on how to take a basic data set and turn it into a compelling story that will resonate with your business partners. Bring a data set you are working on to apply during class.

Note: This class will not address data visualization.

As an executive speech coach and trainer, Ruth Milligan now lives at the intersection of deep knowledge fields like science and research to medicine and data / analytics married with speakers’ desires to be highly resonating and engaging. This is a culmination her nearly 30 year career practicing some form of communications. Ruth founded Articulation in early 2010 after hosting one of the first TEDx events, TEDxColumbus, which is also now one of the longest running TEDx programs in the world. Since then she and her team have coached over 500 people in TEDx or TED-style talks alongside training thousands in their original classes on content framing, storytelling, public speaking, executive presence and accessing science. Her processional passion is to help organizations of all sizes create storytelling cultures that elevate the opportunities for associates and executives to practice and deliver great presentations. She believes that a great talk can come from a nervous, reluctant or beginning speaker, given the right feedback and development environment. After ten years of curating, organizing and hosting TEDx events, she is also a seasoned host, emcee and consultant to a wide range of events from major donor events at universities to pitch events inside data and analytics teams. Ruth has been the official speaker coach for the Women in Analytics presenters since 2017 and helped to host the main stage presenters in 2018. She lives in Columbus with her husband and two teenage children. As Director of the Center for Analytics and Data Science, Sandy Steiger is responsible for providing co-curricular experiences that allow students to embrace the application of analytics and data science. Prior to joining Miami University, Steiger spent 15 years at 84.51° and dunnhumbyUSA. Her most recent role was Vice President, Data Science & Analytics, where she was responsible for developing a strategic roadmap that would bring transformational, innovative thinking to 84.51°, focused on driving data science at scale across the Enterprise. Steiger holds a Master of Science in Statistics from Miami University, Ohio, and a Bachelor of Arts in Mathematics and Business from Mount St. Joseph University.
Documentsruth sandy (346 KB)
Wed 8:00 am – 12:00 pm
Workshop
presentation, ruth milligan, sandy steiger, Storytelling

1:00 pm

Workshop: AI & Marketing Attribution Analysis (4 HR)

Katie RobbertDelaware 2

Marketers want to know what’s working and where leads are coming from. There is only so much budget to go around, so prioritizing your digital channels is essential. In this session, Katie will review the different kinds of attribution analysis you can get out of the box and why you’re better off building your own.

You’ll learn:

  • The different types of models available in out of the box
  • What goes into a building your own model
  • How to structure your project for success
DocumentsSlide10 (2 MB)
Wed 1:00 pm – 1:00 pm
Workshop
attribution, katie robbert, workshop

Workshop: Preprocessing Data for Machine Learning in Python (4 HR)

Sarah GuidoDelaware 1

Getting your data ready for modeling is the essential first step in the machine learning process. In this workshop, you’ll learn the basics of how and when to perform data processing. You’ll learn: how to perform basic techniques such as dealing with missing data and incorrect data types, how to standardize your data so that it’s in the right form for modeling, the benefits of creating new features to leverage the information in your dataset, and the process for selecting the best features to improve your model fit.

DocumentsSlide11 (2 MB)
Wed 1:00 pm – 1:00 pm
Workshop

Thursday 4 Jun 2020

8:30 am

Keynote – Feryal Ozel

Feryal OzelMain Stage

Astrophysical experiments of the current era generate the largest volume and rate of data encountered anywhere in the world. For example, the Event Horizon Telescope, which has taken the first image of a black hole in the nearby galaxy M87, has recorded 5 Petabytes of data over a 5-night observing campaign, while the Large Synoptic Survey is poised to image the entire sky at a high cadence and gather 20 Terabytes per night that needs to be processed in real-time. Different datasets pose different types of challenges, ranging from identifying weak signals to making robust statistical models. I will describe various problem-specific hardware and algorithmic solutions developed in the astrophysics community for these use cases and show that one approach does not fit all.

Feryal Ozel is a Professor of Astronomy and Physics at the University of Arizona. Dr. Ozel's primary research interests are the physics of black holes, neutron stars, and theoretical high-energy astrophysics. She is Chair of NASA Astrophysics Advisory Committee, Chair of NASA Lynx Large Mission Concept Study, and the Lead of Event Horizon Telescope Modeling and Analysis Group. She received her PhD in astrophysics from Harvard University and was a Hubble Fellow at the Institute for Advanced Study in Princeton. She was awarded the American Physical Society Maria Goeppert Mayer Prize, was elected to the Science Academy in Turkey in 2013, and was elected a Fellow of the American Physical Society in 2015. She has been awarded a Radcliffe Fellowship, Guggenheim Fellowship, and Visiting Miller Professorship at UC Berkeley. In 2019, she shared the Breakthrough Prize and the National Science Foundation Diamond Achievement Award with the Event Horizon Telescope collaboration for taking the first image of a supermassive black hole. Dr. Ozel serves on numerous national committees and advisory boards in astrophysics and appears in science programs and documentaries worldwide.
Thu 8:30 am – 10:00 am

Opening Keynote – Feryal Ozel

Feryal OzelRegency Ballroom

Feryal Ozel is a Professor of Astronomy and Physics at the University of Arizona. Dr. Ozel’s primary research interests are the physics of black holes, neutron stars, and theoretical high-energy astrophysics. She is Chair of NASA Astrophysics Advisory Committee, Chair of NASA Lynx Large Mission Concept Study, and the Lead of Event Horizon Telescope Modeling and Analysis Group. She received her PhD in astrophysics from Harvard University and was a Hubble Fellow at the Institute for Advanced Study in Princeton. She was awarded the American Physical Society Maria Goeppert Mayer Prize, was elected to the Science Academy in Turkey in 2013, and was elected a Fellow of the American Physical Society in 2015. She has been awarded a Radcliffe Fellowship, Guggenheim Fellowship, and Visiting Miller Professorship at UC Berkeley. In 2019, she shared the Breakthrough Prize and the National Science Foundation Diamond Achievement Award with the Event Horizon Telescope collaboration for taking the first image of a supermassive black hole. Dr. Ozel serves on numerous national committees and advisory boards in astrophysics and appears in science programs and documentaries worldwide.

Session Abstract

Astrophysical experiments of the current era generate the largest volume and rate of data encountered anywhere in the world. For example, the Event Horizon Telescope, which has taken the first image of a black hole in the nearby galaxy M87, has recorded 5 Petabytes of data over a 5-night observing campaign, while the Large Synoptic Survey is poised to image the entire sky at a high cadence and gather 20 Terabytes per night that needs to be processed in real-time. Different datasets pose different types of challenges, ranging from identifying weak signals to making robust statistical models. I will describe various problem-specific hardware and algorithmic solutions developed in the astrophysics community for these use cases and show that one approach does not fit all.

DocumentsSlide2 (2 MB)
Thu 8:30 am – 8:30 am
Keynote, Main Stage
astronomy, astrophysics, feryal ozel, keynote, main, university of arizona

Friday 5 Jun 2020

8:30 am

Opening Keynote – Jenny Bryan

Jenny BryanRegency Ballroom

Jenny Bryan is a Software Engineer and Data Scientist at RStudio and an Adjunct Professor of Statistics at the University of British Columbia with a Ph.D. in Biostatistics from the University of California, Berkeley. She works on a team that develops open source R packages to make data science faster, easier and more fun.

DocumentsSlide3 (2 MB)
Fri 8:30 am – 8:30 am
Keynote, Main Stage
data scientist, jenny bryan, keynote, open source, rstudio

Friday 3 Jul 2020

10:00 am

Data Storytelling & Visualization Masterclass (6 HR)

Lea PicaFairfield

PHASE I: CONCEPTUALIZE

When you are able to connect with your audience in a way they understand, they will be much more receptive to your message. Doing so requires thoughtful research into the deep desires of your audience. We’ll discuss audience needs assessment techniques and a robust presentation planning framework that works.

Topics covered:
  • What your stakeholders are thinking but aren’t telling you
  • Audience needs assessment + interview strategies
  • Transforming statements to insights
  • Creating recommendations that get acted upon
  • A proven influential presentation planning framework
  • Content brainstorming techniques
  • Digitizing and refining your content plan

PHASE II: VISUALIZE SLIDES + DATA SECTION I: SLIDE DESIGN

The most important, innovative, or valuable ideas can be lost if they’re communicated poorly. By learning to think like a graphic and data designer, you’ll be able to present your information in a clear and compelling way. We’ll review neuroscience-backed design principles, how to work with imagery, and how to avoid the most common visual pitfalls.

You’ll learn time-saving tricks on how to customize a PowerPoint template with client branding for reuse, quick formatting tricks for basic charts, and my best keyboard shortcuts to get things out the door fast.

SECTION II: THE PICA PROTOCOL PRESCRIPTION

Students are introduced to Lea’s proprietary PICA Protocol™, my prescription for healthy, actionable data stories. It includes the anatomy of a healthy data viz, a full framework for visualizing analytical narrative, as well as alternatives for avoiding the most common data visualization mistakes.

Topics covered:
  • Alternative strategies to death by bullet points
  • White space, typeface, color, imagery, and other design fundamentals
  • Time-saving Powerpoint productivity tricks
  • Common data visualization violations
  • Creative animation techniques
  • Lea’s proprietary Chart Detox Checklist
DocumentsSlide9 (2 MB)
Fri 10:00 am – 10:00 am
Workshop
data storytelling, lea pica, masterclass, visualization, workshop