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It's time to get your tickets.The Data for Impact Conference is rapidly approaching and if you haven't registered or used your Forward Pass to reserve a seat, you'll miss out on instructions required for participating in workshops and other details for the day. You can still join us but may be at a disadvantage for making the most of the day. |
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Data for Impact Conference |
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Monday, August 20th • Union South 8:30 am Check-In |
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Andrew Means Keynote + Workshop |
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A peek of our line-up.Here's a quick peek at some of our notable sessions and workshops. You can find full descriptions and a full schedule on the web, but let us introduce you to… |
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 | STORYTELLING: USING DATA TO INSPIRE (THE NASA FILES) How do you make data and data science exciting for all generations? Storytelling has demonstrative importance to ensure sustainable data exploration. Presenter: Dr. Richard Barker, UW-Madison Botany Department |
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 | ETHICAL ANALYTICS: THE GOOD, THE BAD, AND THE DATA Netflix leverages data to answer: “Which show would an individual watch?” Social service agencies ask: “Which individuals will re-enter the system?” Are these questions similar? Explore impact and ethics. Presenter: Colleen Kerwin, National Council on Crime and Delinquency |
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 | VISUAL DATA TO DRIVE ACTION Visualizing data plays to human strengths. Learn useful ways to think about why and how you want to share data based on your goals, with practical tips for visualizing data. Presenter: Mary Michaud, VisuaLeverage
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 | LEVERAGING PUBLIC DATASETS TO DRIVE SOCIAL IMPACT Let's learn how a little python knowledge can speed up workflow, get you access to public data, and derive insights from data using python. Laptop Required. Prerequisites Emailed. Instructor: William Hakizimana, MadPy (Madison Python Meetup) |
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CAN ARTIFICIAL INTELLIGENCE BE FAIR? Algorithmic fairness in practice: discussing quantitative non-discrimination. The session will present approachable explanations of mathematical concepts of fairness without actual mathematics, and will discuss how these approaches can be used to establish ethical bounds for AI algorithms. Presenters: Egor Korneev, Ordinal Science & Kathy Park, National Council on Crime and Delinquency |
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