Cast Your Vote for Mathematica’s SXSW Panel Submissions

Aug 21, 2018

Vote for my PanelPicker idea. SXSW community voting: August 6-30. SXSW 2019 

Across industries, from health care to education, decision makers are hungry for fresh ways to examine problems, propose solutions, and invest in what works. As practitioners demand more and better information about their programs, we want to tell the story of how Mathematica is responding to that need. Each year, the South by Southwest conference in Austin attracts a wide range of creative, data-driven thinkers in the arts, government, and business. Through the end of August, the conference is inviting members of the public to vote on proposed panels, including nine submitted by Mathematica for the SXSW EDU Program and the Cities, Government & Politics Track.

Public voting is one of three factors considered in assessing the applications. The following are samples of Mathematica’s panel submissions. Please remember to vote by August 30 and spread the word about our panels on social media using the hashtags #SXSW2019 and #SXSWPanelPicker.

 

Democratizing Evidence: Bridging Data & Practice

Panelists: Michelle Derr, Mikia Manley, and J.B. Wogan

Description: We’re in the midst of a data revolution. Yet with billions—and even trillions—of data points, when it comes to actionable information, decision makers still don’t have the data they need, in the format they need, when they need them. During this workshop, attendees will use a human-centered design approach to discuss barriers to obtaining and using evidence in public policy and will prototype solutions for better data-driven decision making.

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Democratizing Evidence: Bridging Data & Practice

Panelists: Michelle Derr, Sara Woodruff, and Mikia Manley

Description: Education is in the midst of a data revolution. Yet with billions—and even trillions—of data points, when it comes to actionable information, decision makers still don’t have the data they need when they need them. During this workshop, attendees will use a human-centered design approach to discuss barriers to obtaining and using evidence in the classroom and will prototype solutions for better data-driven decision making.

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Seeking Out the Adjacent Possible

Speaker: Michelle Derr

Description: Improvement comes from continuous learning and innovation. The Learn, Innovate, Improve framework has been used to help public agencies drive positive change in their programs, often with no policy change or additional costs. During this presentation, Michelle Derr will introduce this approach and discuss how you can use it to identify opportunities for improvement and to design and test better programs, policies, and interventions.

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