Final report required. This course may not be taken for pass/fail credit or audited.
Recent scholarship in queer theory speaks of “bad education” and “ugly feelings,” “beautiful experiments” and “poor queer studies.” In this survey of mostly recent queer theoretical work we will read a range of texts that debate the use, the abuse and the uselessness of queer theory in an era of anti-intellectual policies aimed at both critical race theory and gender and sexuality studies. While Lee Edelman, in
Bad Education
, insists that queer theory has nothing to teach us, Paul Preciado in
Dysphoria Mundi
proposes that the whole world is ailing from a shared dysphoria. Meanwhile, at the intersections of Afro-Pessimism and queer theory, Calvin Warren proposes that to speak of Black trans identities is impossible given the negative ontologies that pertain to Black personhood. Working through oppositions between optimism and pessimism, utopia and dystopia, good and bad feelings, beauty and ugliness, we will ask: What constitutes the ethical in queer theory and how does queer theory approach the good, the bad and the beautiful? At stake here are questions about aesthetic experimentation and politics and unpredictable links between beauty and power, alternative subjects and domination, and bodies and language.
Prerequisites: ECON G6412, ECON G6411, ECON G6215, ECON G6211. Corequisites: ECON G6212, ECON G6216, ECON G6412. This course will critically examine mainstream approaches to economic theory and practice, particularly in the areas of macroeconomic stabilization policy, poverty reduction, economic development, environmental sustainability, and racial and gender inequality. Topics will vary from year to year, but may include responses to the credit crisis and Great Recession, global warming and international negotiations, globalization, the measurement of poverty and inequality, different approaches to poverty reduction, AIDS and malaria, mass imprisonment, childrens wellbeing, the IMF and the World Bank, intellectual property in an international context, racial disparities in life expectancy, public pension systems in developed countries, health care, and homelessness. The course will also examine biases in economic discourse, both among policy makers and scholars.
This is a course in how to think about documentary but not about “how to” make documentary work. Its premise is that documentary as an approach is still undergoing revision as a definitional problem. Relevant to our times, cameras and sound recorders are called upon to “witness” events. Basic readings on the history and theory of documentary are the heart of the course and practical exercises test theoretical questions. Students conduct low end exercises with their own smart phone cameras. Topics and issues center on the history of the radical documentary—from the Workers Film and Photo League of the 1930s to the 2011 Arab Spring uprisings, comparing then new 16 and 35mm film camera capabilities with contemporary internet distribution. Other topics include climate change and documentary work; motion picture film and photography in labor struggles; uses of anti-war and nuclear bomb footage; sexualities and video camera activism.
In the early 1960s, a number of new film movements in national cinemas around the world. Inevitably called “new waves” or “new cinemas,” these movements, usually made up of young filmmakers, would challenge both the cinematic industrial structures in each of their respective nations, as well propose often radically different approaches to filmmaking and to cinematic storytelling. This course will explore three important examples of this development—the French New Wave, the Japanese New Wave and the Brazilian Cinema Novo—and detail both the commonalities among these movements (aesthetic, social, political) as well those factors which made each unique. A special concern will be the relationship of the “new waves” to simultaneous radical experiments in visual arts, theater, literature and music. The course will begin with a consideration of Roberto Rossellini’s VOYAGE TO ITALY, a watershed work between Neorealism and subsequent cinematic modernism, and will conclude with Andrei Tarkovsky’s MIRROR, described by Andras Balint Kóvacs as “the last modernist film.”
Selected topics in Natural Language Processing (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check the "topics courses" webpage on the department website for more information on each section.
Provides students the opportunity to present work in progress or final drafts to other students and relevant faculty to receive guidance and feedback.
MRST Directed Readings, Independent study. Students should meet with the Program Director and Program Manager before registering for this course.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
ENGL 6998 GR is a twin listings of an undergraduate English lecture provided to graduate students for graduate credit. If a graduate student enrolls, she/he/they attends the same class as the undergraduate students (unless otherwise directed by the instructor). Each instructor determines additional work for graduate students to complete in order to receive graduate credit for the course. Please refer to the notes section in SSOL for the corresponding (twin) undergraduate 1000 or 2000 level course and follow that course's meeting day & time and assigned classroom. Instructor permission is required to join.
ENGL 6998 GR is a twin listings of an undergraduate English lecture provided to graduate students for graduate credit. If a graduate student enrolls, she/he/they attends the same class as the undergraduate students (unless otherwise directed by the instructor). Each instructor determines additional work for graduate students to complete in order to receive graduate credit for the course. Please refer to the notes section in SSOL for the corresponding (twin) undergraduate 1000 or 2000 level course and follow that course's meeting day & time and assigned classroom. Instructor permission is required to join.
First part of two-term MA Thesis sequence for MRST MA Students.
Second part of two-term MA Thesis sequence for MRST MA Students.
‘Political development’ is a generic concept that refers to the development of institutions, social structures and civic values that form the basis of a society's political organisation. Contrary to what was believed in the recent past, it is by no means the result of a universal model of historical evolution that applies to all societies. It takes shape as a result of a combination of changes brought about by national, transnational and international factors. Some transformations may occur over the long term: they can be analysed by observing structural changes, such as the development of colonialism, economic and financial globalisation, the system of international relations, demographic shifts or climate change, among many other factors. Other transformations may be triggered by specific events, such as civil wars, revolutions, international conflicts, economic crises, natural disasters and global pandemics. Nor should we underestimate the role of political leaders, active minorities or broader social movements in changes to the political organisation of societies.
Analysis of political development requires exploring the multifaceted changes in societies throughout national and global history, highlighting the diversity of political experiences and the multiple aspirations of peoples. It also requires avoiding interpretations biased by ideology and false assumptions, stereotypes and beliefs that are not based on evidence.
Each session of the course focuses on a specific topic and is structured in three parts. First, the instructor introduces the topic by outlining key analytical perspectives, guiding questions, and relevant controversies or debates. This is followed by a student group presentation. Finally, the session opens up to the class for a collective discussion. One of the main objectives of the course is to foster critical thinking, grounded in the solid foundations of the social sciences and a clear-eyed observation of current world events. The aim is to cultivate individuals with independent and discerning minds, capable of making fair, balanced, and well-reasoned decisions.
This course is the second of two sequential courses that provide an in-depth exploration of human physiology and pathophysiology, with an emphasis on the relationship between health and the alterations leading to disease. Students will focus on the etiology, pathogenic mechanisms, clinical features, and therapeutic interventions of commonly occurring diseases manifesting in specific physiologic processes or organ systems.
While 2016 may have been the wake-up call, it is clear that what scholar Joan Donovan calls “the weaponization of the misinformation machine” has only gotten worse since then. The political, social, and psychological damage caused by the intensive dissemination of online mis/disinformation has been profound. However, much has been learned about how to address the problem, so we will emphasize understanding the role of Big Tech in circulating and profiting from online mis/disinformation and what policies/regulations are in play. This semeste,r we are paying particular attention to the aftermath of the 2024 election landscape and the strange post-truth environment we find ourselves in.
The first part of this course will focus on understanding mis/disinformation online. What exactly is it? Why should we care? What are the implications for Democracy? Who is the cast of characters creating mis/disinformation online? After we’ve understood these topics we will examine the fixes being proposed and tried globally. We will consider both the demand and supply side of the problem and national context shapes the solutions being tried. We will look at the pros and cons of efforts to promote responsible news consumption, enhance media literacy, fact-checking, and new regulations. Along the way, we will also discuss content moderation, platform liability, disclosure requirements for election advertising, and support for journalism.
Students who take this class will develop an understanding of:
The problem of online misinformation and disinformation— who is putting it online and what are their interests?
Familiarity with the universe of solutions that are being tried and the pros and cons of each approach
This course is designed to provide the student with a systematic approach to the delivery of health promotion and disease prevention in primary health care to individuals, families, communities, and aggregate populations.
Whoever controls the future of the internet controls the future of the world. This course explores the institutions, stakeholder groups, and policy debates that shape how the internet is built, maintained, and governed. It examines the internet’s technical roots and the people and entities—telecom companies and their regulators, technologists and idealists, security forces and hackers—who shape its evolution today.
Students will study the basic workings of internet and mobile networks, the national and global forums where internet policy is made, and how digital regulation affects people, rights, cultures, and economies. Class sessions combine lectures, group discussions, guest speakers, and hands-on simulations to explore real-world tensions between national sovereignty and borderless cyberspace, corporate responsibility and civil liberties, and differing digital norms across regions.
The international human rights framework is presented as a foundation for policymaking in the digital age. Course topics include intermediary liability, domain name systems, surveillance, privacy, net neutrality, AI, disinformation, digital identity, and internet shutdowns. Students will write a reflection paper, a midterm policy memo, and a final policy brief, and participate in a group-led in-class “Event” designed to bring readings to life through role play and stakeholder engagement. Participation is essential.
This course examines the politics of persistent policy challenges in the Global South, a term that traditionally refers to developing nations but also encompasses marginalized communities in wealthier countries affected by globalization.Poverty, inequality, hunger, communicable diseases, water scarcity, political and financial instability, and corruption are among the most persistent challenges in the Global South. While policymakers have invested significant resources to address these issues, their global roots often make them more complex and difficult to resolve. Responses to these problems vary across the Global South, shaped by each country’s unique historical and political context. This variation highlights that developing countries are not uniform and provides valuable opportunities for comparative analysis of policies and outcomes.
This course takes a comparative approach, drawing on the histories and experiences of developing countries worldwide. Each week, we will focus on a key challenge in the Global South using an empirically grounded, case-based method, supported by relevant theoretical frameworks and policy literature. While recognizing country-specific differences, we will also examine common constraints—such as colonial legacies, resource scarcity, and institutional barriers—that set these nations apart from wealthier Global North countries.
This course explores one of the most promising responses to the risks posed by Generative AI: digital content provenance. As AI-generated media grows more sophisticated and accessible, questions of transparency and authenticity have become central to the global informational ecosystem. Digital content provenance—an emerging open standard supported by thousands of organizations and recognized in recent policy actions such as the White House Executive Order on AI—offers a potential path to restoring trust in what we see and hear online.
Students will examine the technical foundations of provenance, including concepts such as public key infrastructure (PKI) and certificate authorities, and learn how provenance is being implemented across sectors including government, media, and technology. The course features guest speakers from industry and public service, providing insight into the policy, legal, and operational dimensions of this fast-evolving field.
Through research, writing, and the creation of an original provenance-enabled project, students will develop a strong understanding of how digital content provenance works and its relevance to future regulatory frameworks. This course is designed for those interested in the intersection of AI, digital media, global policy, and emerging technology standards.
What rules and expectations should online platforms such as Google, Meta, X, OpenAI, TikTok, or Uber use to govern themselves? How do technology companies mitigate socio-technical harms stemming from their products? And how should they respond to evolving geopolitical conflicts playing out on their services? This course introduces the emerging field of Trust & Safety: the study of how online platforms are abused and how these systems can cause individual and societal harms, as well as the frameworks and tools used to prevent and mitigate those harms.
Still relatively obscure but increasingly central to public policy and technology governance, Trust & Safety now spans issues including content moderation, disinformation, child safety, algorithmic harm, and state-sponsored influence operations. Students will build foundational knowledge of the field through academic texts, practitioner case studies, and engagement with tools, taxonomies, and governance approaches used in industry. Course topics include detection systems, enforcement methods, moderation tradeoffs, transparency frameworks, red teaming, and regulatory perspectives such as the EU Digital Services Act. Case studies will examine harms across the technological stack, from social media to video games, dating apps, and AI models.
Students will also engage directly with the tensions and practicalities of operating, regulating, or covering these issues in a policy or product environment. The course prepares students to critically evaluate and help shape interventions aimed at digital safety across sectors.
Each week we will examine a variety of case studies covering topics such as: the ethics of information design, algorithmic bias, deceptive user experience patterns, social media and commodification, safe spaces in virtual environments, the development of autonomous systems and smart cities, the relationships between artificial intelligence and copyright, democracy and media, and media activism and community organizing. Throughout the semester, students will select three ethical problems to research, including two case studies and one essay/ opinion piece. Using primary sources, photo, video, and graphics, students will capture pressing ethical issues. They will learn to navigate frameworks for ethical decision making, ethical management systems, and develop “codes” of ethics, and value statements. Students will also have the opportunity to engage in hands-on “ethical” user experience research during class exercises where they test websites, apps, and products. Finally, guests will be invited to the course to share their experience with developing ethical frameworks as media, design, and technology professionals.
Artificial intelligence is present in our individual lives, in education, industry, and government. Investment in AI is so large that it is driving GDP growth—and, some say, creating a bubble. Camps of AI “boomers,” who believe AI will usher in a new era of prosperity and enlightenment, are at loggerheads with AI “doomers,” who argue the technology must be stopped or it may kill us all. Yet in the U.S., there is remarkably little regulation of this new, influential technology. Attempts have been made to address potential bias and its documented shortcomings in important decision-making—such as credit, employment, and housing—or to increase transparency about its use. Meanwhile, developers of the technology, deployers who use it in applications, and enterprise customers are employing—to varying degrees—governance mechanisms to manage risks.
This course provides an overview of policy and regulatory discussions in the U.S. and other parts of the world and outlines some of the key questions that regulators and others are grappling with.
We will focus on three broad areas:
– The technology at the heart of AI: What is it exactly?
– How to read the signals—how the digital revolution has already changed so much about 21st-century life, as well as the early changes we see from AI deployment—to make projections about the real dangers and opportunities ahead.
– The big policy challenges—risky decision-making, safety, privacy, IP, liability, competition, geopolitics, employment—and why they matter, as well as what can actually be done to mitigate them. This requires an understanding of what can be regulated and what has already been tried.
The instructor served as the White House Director of the National AI Office as well as Acting CTO and will draw on this experience, which included co-chairing the federal government’s Council of Chief AI Officers. The course will also feature several guest speakers who directly engage with significant AI or AI policy projects in various fields.
Research shows that countries with deeper levels of financial inclusion -- defined as access to affordable, appropriate financial services -- have stronger GDP growth rates and lower income inequality. In recent years, research around the financial habits and needs of poor households has yielded rich information on how they manage their financial lives, allowing for the design of financial solutions that better meet their needs, boosting financial inclusion. Nevertheless, an estimated 1.3 billion people globally remain underserved by financial services.
While microfinance institutions remain a leading model for providing financial services to the poor, new models and technology developments have provided opportunities for scaling outreach, improving the range of products and services, deepening penetration and moving beyond brick-and-mortar delivery channels. The course will provide an overview of selected topics in financial inclusion, with a focus on several foundational areas and select topics of current interest, including leading-edge digital financial services, gender, and innovative financial product design.
The course will be highly interactive, with leading industry experts as guest speakers and group assignments.
This course provides a practitioner’s perspective on how global capital markets operate, focusing on the instruments, institutions, and frameworks that channel capital to companies, households, and governments. Students will explore interest rate and FX swaps, derivatives, credit default swaps, asset-backed securities, and structured finance, alongside tools for interpreting yield curves and understanding credit markets. The course integrates current developments, including monetary policy, inflation trends, and systemic risk, with a close look at how financial actors respond. Unlike
Economics of Finance
, which emphasizes theory, this course emphasizes institutional function and market behavior. The course is structured to help students think critically and confidently about real-world financial markets
This course provides a practitioner’s perspective on how global capital markets operate, focusing on the instruments, institutions, and frameworks that channel capital to companies, households, and governments. Students will explore interest rate and FX swaps, derivatives, credit default swaps, asset-backed securities, and structured finance, alongside tools for interpreting yield curves and understanding credit markets. The course integrates current developments, including monetary policy, inflation trends, and systemic risk, with a close look at how financial actors respond. Unlike
Economics of Finance
, which emphasizes theory, this course emphasizes institutional function and market behavior. The course is structured to help students think critically and confidently about real-world financial markets
This graduate course is designed to provide the student with the knowledge and skills to facilitate changes in practice delivery using quality improvement strategies. Historical development for total quality management and strategies for implementing process improvement are emphasized. Students will learn how to develop a culture of appreciative inquiry to foster inquisition and innovation. Upon completion of this course, students will design a plan for implementation of a quality improvement project.
This course equips students for humanitarian, human rights, foreign policy and political risk jobs that require real-time interpretation and analysis of conflict data. The course will introduce students to contemporary open-source data about conflict events, fatalities, forced displacement, human rights violations, settlement patterns in war zones, and much more. Students will learn about how this data is generated, what data reveals, what data obscures, and the choices analysts can make to use conflict data transparently in the face of biases. Then, students will learn introductory skills to visualize a range of conflict data in
R
and ArcGIS Pro. The objective is to give students the foundations to go further independently after the course using open-source training material and trouble-shooting portals. Each student will choose a conflict-related policy problem which they will investigate as the course progresses, culminating in a four-page policy brief or an ArcGIS Story Map, along with an explanatory memo.
This course focuses on innovation in low and middle-income countries and how international development organisations and governments can drive better development processes and outcomes. Sessions will cover the role of innovation in fostering inclusive digital transformation, economic growth as well as practical applications of innovation in development policies and programmes. The course will feature a number of case studies from diverse low and middle-income countries as well as frameworks to help students gain a practical and conceptual understanding of innovation at various levels: macro, meso and micro.
The course is designed to help students sharpen their critical thinking skills related to development cooperation policies and programming writ-large, and specifically as they pertain to innovation and digital transformation efforts. Students will gain an understanding of the history of investments in science, technology and innovation (STI) systems in low and middle-income countries and in fields of digital transformation and mission-oriented innovation. Students will work individually and in groups on practical exercises related to innovation policies, local innovation ecosystems, grassroots and frugal innovation, and more. The practical exercises will be anchored in conceptual frameworks and case studies from across low and middle-income countries. Case studies include innovation efforts led by international development organisations as well as by Global South government entities and by local grassroots innovators.
Students will gain practical insights on how to advance inclusive innovation in the context of international development cooperation policies and programmes.
This course provides students with a comprehensive understanding of the global financial system through the lens of sustainable development. Rather than focusing on ESG or impact investing, the course examines the structures, incentives, and decision-making processes of key financial actors, including public finance institutions, development banks, asset owners, central banks, and private capital markets, and how they can be mobilized to support the goals of sustainable development.
Through lectures, guest speakers, and case studies, students will explore topics such as carbon markets, infrastructure finance, industrial policy, China's international finance strategy, and degrowth economics. The course also addresses the skills and frameworks needed to engage professionally in sustainable finance across sectors.
This course equips students with economic tools to analyze the impacts of international migration on destination and origin countries. Emphasizing migration between low-, middle-, and high-income economies, it explores the effects of migration restrictions, remittances, diaspora networks, and labor market outcomes. Students will review key economic models, assess policy debates, and engage with empirical research. The course combines lectures, case discussions, and applied assignments to strengthen analytical skills and inform policy recommendations in migration and development.
This course will be useful for students who are committed to evidence-based operations, programming, strategy, and overall effectiveness. Impact evaluations, combined with strong data systems, are integral tools for this evidence-driven work. At the end of the course, students will understand why and when to conduct impact evaluations, how to manage one, and how to recognize and differentiate a good impact evaluation from a non-rigorous one.
Spring 2026 Course Dates: March 27-28 & April 3-4
This course examines the central challenges of climate change policy and diplomacy through three core questions: What should the world do about climate change? Why have past efforts largely failed? How can more effective strategies be developed? Drawing on perspectives from science, economics, ethics, international law, and game theory, students will explore both normative and practical dimensions of global climate action.
The course reviews the scientific basis and projected impacts of climate change, evaluates technological and economic options for reducing emissions, and analyzes the history and design of international agreements from the Framework Convention to the Paris Agreement. Students will consider issues such as policy coordination, compliance incentives, trade linkages, and the role of unilateral measures and geoengineering.
The widespread adoption of information technology has resulted in the generation of vast amounts of data on human behavior. This course explores ways to use this data to better understand and improve the societies in which we live. The course weaves together methods from machine learning (OLS, LASSO, trees) and social science (theory, reduced-form causal inference, structural modeling) to address real-world problems. We will use these problems as a backdrop to weigh the importance of causality, precision, and computational efficiency.
Prerequisites:
Students are expected to have completed coursework equivalent to Quantitative Analysis II or Statistics (e.g., SIPA U6501), Microeconomics (e.g., SIPA U6300/50 or U6400), and an introductory Computer Science course (e.g., INAF U6006). Familiarity with econometrics and programming is assumed.