UVa Class Schedule - Schedule for LPPP 5540 - Spring 2020 (Unofficial, Lou's List)

UVa Class Schedules (Unofficial, Lou's List v2.10) New Features

Schedule for LPPP 5540 - Spring 2020

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I continue to maintain this list of classes, now with UVA support! -- Lou Bloomfield, Professor Emeritus of Physics

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Leadership and Public Policy - Policy
LPPP 5540	Applied Policy Clinics

	Advocacy and Lobbying Clinic
Spring 2020 16464	001	WKS (2 Units)	Closed	11 / 10	Brooke Lehmann	Fr 2:00pm - 4:30pm	The Rotunda Room 150
	Working along side the instructor, this course provides a hands-on opportunity for students to work on federal legislation in real time. Through the use of the instructors clients, students will have the chance to help craft legislative strategies, develop the tools required for successful federal advocacy and learn how our law making process actually works in today's political environment. Previous clinics have enabled students to have direct communication with Members of Congress as well as their staff, and in some cases, travel to D.C. for Hill related events.
	Fiscal Policy Clinic
Spring 2020 16465	002	WKS (2 Units)	Open	8 / 10	Galen Fountain	Fr 2:00pm - 4:30pm	The Rotunda Room 152
	This clinic will examine procedures and policies in connection with federal budget and appropriations and will allow students first-hand experience in how spending decisions are made and the implications they hold for public policy. In addition to core materials on these subjects, students will also work, in real time, with federal Executive Department budget offices and Congressional Appropriations Committees.
	Public Interest Data Lab
Spring 2020 16466	003	WKS (2 Units)	Permission	12 / 10	Michele Claibourn	Mo 3:30pm - 6:00pm	The Rotunda Room 150
	Our spring 2020 client is the Charlottesville Department of Social Services, completing work on racial disproportionality and disparity in child welfare.
	Saving Lives with Data 2: Children
	The Role of Predictive Analytics
Spring 2020 19606	004	WKS (2 Units)	Open	8 / 10	David Leblang+1	Fr 2:00pm - 4:30pm	Rouss Hall 403
	Executing an effective response to a humanitarian crisis requires that humanitarian responders have the necessary personnel, finances, and equipment. A critical component of readiness is the ability to forecastâ€”to anticipate and predictâ€”when and where the next crisis will occur. Students will gain experience using data science in the policy arena by designing a predictive model for humanitarian crises; they will identify data, build statistical tools, and develop decision-theoretic foundations.