Course investigates practical challenges policy researchers face conducting impact evaluations. Develop capacity to replicate prominent empirical research using experimental & quasi-experimental methods & present results in compelling, accessible formats.Course primarily uses R (No prior exp. w/R expected). Course assumes prior grad-level instruction in experimental & quasi-experimental methods and Batten MPPs likely have completed RMDA II.

In this course, you will build a more accurate and up-to-date understanding of what drives human behavior, understand the nature and complexity of moral issues that digital technology and analytics raise, and practice making decisions that balance your ability to use analytics and benefit people.

This course introduces students to the field of impact investing and innovative finance. With insufficient non-profit and government spending in most policy areas (sustainable agriculture, economic development, health care, housing, etc.) innovative leaders are developing new models to unlock new capital to tackle the toughest issues facing humanity. Students will learn about blended finance, catalytic capital, impact investing, capital stacks, impact venture capital, and more.

The threat of international terrorism in the wake of 9/11 prompted costly & controversial US military & stabilization efforts in Afghanistan and Iraq. Initially targeting terrorism, it expanded into regime change. Bush, Obama, & Trump administrations struggled to craft effective strategies, facing setbacks like ISIS & Taliban resurgence. What can we learn from this chapter in America¿s endeavor to counter terrorist and security threats abroad?

Graduate-level poetry writing workshop for advanced writing students. A weekly 2.5 hour workshop discussion of student poems. For more details, visit our program website at creativewriting.virginia.edu.

International relations studies often overlook underlying geographic, economic, & intern¿l order dimensions that varyingly benefit some states & disadvantage others. How does access to open seas or having a veto at the UN benefit a country? How does being landlocked or lacking natural resources disadvantage a country? Course highlights underlying dimensions shaping how a country perceives its interests & what it emphasizes in foreign policy.

Covers advanced theoretical concepts for deep neural networks. Topics include convolutional neural networks and their design principles, encoder-decoder architectures, recurrent neural networks, transformers, bounding box detection, image segmentation, generative adversarial networks, diffusion models, etc. Using open-source Python libraries such as NumPy, TensorFlow, and Keras, to understand how theoretical concepts are implemented.

Current state and future trends in Machine Learning Systems are covered. Topics include hardware systems, software systems, and Machine Learning optimized for metrics beyond predictive accuracy.

Leading in the public context requires an understanding of one's own & others' thoughts, feelings, & motivations; & tools for working toward mutually valued outcomes. Course uses behavioral science to develop this understanding & build a toolkit. Through exercises, lectures, discussion, readings, & projects, students will learn general behavioral principles that they can leverage to work toward valued communal goals within public institutions.

The DI Seminar will provide a unique learning experience that combines interdisciplinary inquiry with diverse forms of scholarly engagement, opportunities to interact with distinguished guests, both academics and community leaders, from on and off-Grounds. The fall semester will be devoted to readings that explore critical, conceptual, and methodological problems on the seminar theme.