Prerequisites: MATH UN1102 and MATH UN1201 , or their equivalents. Introduction to mathematical methods in pricing of options, futures and other derivative securities, risk management, portfolio management and investment strategies with an emphasis of both theoretical and practical aspects. Topics include: Arithmetic and Geometric Brownian ,motion processes, Black-Scholes partial differential equation, Black-Scholes option pricing formula, Ornstein-Uhlenbeck processes, volatility models, risk models, value-at-risk and conditional value-at-risk, portfolio construction and optimization methods.
This interdisciplinary course, taken in the fall semester, is a comprehensive introduction to quantitative research in the social sciences. The course focuses on foundational ideas of social science research, including strengths and weaknesses of different research designs, interpretation of data drawn from contemporary and historical contexts, and strategies for evaluating evidence. The majority of the course is comprised of two-week units examining particular research designs, with a set of scholarly articles that utilize that design. Topics include: the “science” of social science and the role of statistical models, causality and causal inference, concepts and measurement, understanding human decision making, randomization and experimental methods, observation and quasi-experimentation, sampling, survey research, and working with archival data.
Students will gain an overview of major concepts of management and organization theory, concentrating on understanding human behavior in organizational contexts, with heavy emphasis on the application of concepts to solve managerial problems. By the end of this course students will have developed the skills to motivate employees, establish professional interpersonal relationships, take a leadership role, and conduct performance appraisal.
This graduate pro-seminar for MA students is an intensive introduction to key theoretical frameworks and critical discourses that shape Black Studies. This interdisciplinary seminar provides students with foundational components of the African American intellectual tradition and to Black diasporic thought. The course is organized by themes that reflect the historical and social context of Black life in the US and broader diasporic connections, particularly the cultural, political, economic, and geographic formations that ground Black life.
This course introduces students to central questions and debates in the fields of African American Studies, and it explores the various interdisciplinary efforts to address them. The seminar is designed to provide an interdisciplinary foundation and familiarize students with a number of methodological approaches.
This course introduces students to important conversations within and about oral history through a series of curated public events.
This semester our events will explore how oral history lives in places and communities around New York City through a series of place-based events, curated in collaboration with partners around the city.
We meet approximately 6 times/semester.
Analytics and data-driven decision-making are playing an ever-larger role in modern political campaigns, advocacy groups, and media coverage of politics. This phenomenon builds on the increasing availability of “big data” in politics: augmented voter files covering hundreds of millions of registered voters, databases of donors and volunteers, online clicks and likes, an explosion of polling options, and much more. As a result, data practitioners now play a key role in determining the direction of American politics.
This course familiarizes students with a range of foundational statistical and data analytic methods and shows how these techniques can be practically applied to politics and related fields. The course also serves as an intensive introduction to statistical programming in R. Students will learn about the role of big data and analytics in contemporary US politics, with a focus on key data sources and their uses. The course also focuses on causal inference methods to train students in evaluating the impact of political campaigns, policy initiatives, and other program interventions. This course lays the groundwork for more specialized courses and will help students consider which types of knowledge and skills they want to acquire as they progress through the degree program.
This 1.5-credit onsite graduate course examines the ethical dynamics shaping contemporary technology management as innovation, regulation, and societal expectations rapidly evolve. Drawing on globally recognized perspectives and frameworks in responsible AI leadership and governance, the course explores how ethical considerations inform strategic decision-making across the technology lifecycle, from human-centered design to enterprise-scale digital transformation. Students critically analyze emerging challenges in artificial intelligence, data stewardship, collective decision-making systems, and value alignment, with attention to governance models, institutional accountability, and evolving regulatory frameworks. An emphasis is placed on evaluating the economic, social, and sustainable implications of technologies to strengthen ethical leadership discernment and strategic risk evaluation. The course equips students to critically navigate the ethical complexities of technological progress while aligning innovation with institutional values, societal responsibility, and long-term organizational integrity in a rapidly evolving global landscape.
Utilizing a case-study approach, this course will offer a focused study of climate change adaptation policy, exploring dimensions of adaption across sectors and scales. With a thematic focus on pervasive global inequities, students will also consider challenges associated with international development and disaster risk management. An inter-disciplinary framework will enrich the course, and students will learn about perspectives from the natural sciences, law, architecture, anthropology, humanitarian aid, and public policy.
Prerequisites: some background in ecology, evolutionary biology, and/or statistics is recommended. An introduction to the theoretical principles and practical application of statistical methods in ecology and evolutionary biology. The course will cover the conceptual basis for a range of statistical techniques through a series of lectures using examples from the primary literature. The application of these techniques will be taught through the use of statistical software in computer-based laboratory sessions.
Prerequisites: some background in ecology, evolutionary biology, and/or statistics is recommended. An introduction to the theoretical principles and practical application of statistical methods in ecology and evolutionary biology. The course will cover the conceptual basis for a range of statistical techniques through a series of lectures using examples from the primary literature. The application of these techniques will be taught through the use of statistical software in computer-based laboratory sessions.
Prerequisites: One semester of undergraduate statistics The data analysis course covers specific statistical tools used in social science research using the statistical program R. Topics to be covered include statistical data structures, and basic descriptives, regression models, multiple regression analysis, interactions, polynomials, Gauss-Markov assumptions and asymptotics, heteroskedasticity and diagnostics, models for binary outcomes, naive Bayes classifiers, models for ordered data, models for nominal data, first difference analysis, factor analysis, and a review of models that build upon OLS. Prerequisite: introductory statistics course that includes linear regression. There is a statistical computer lab session with this course: QMSS G4017 -001 -DATA ANALYSIS FOR SOC SCI
Prerequisites: Students must meet with the instructor prior to taking the course. This course is intended to help students increase their ability level in the four core language skills (reading, writing, listening, and speaking) from advanced to super-advanced. It serves as a bridge between mastering the overall Japanese language and using it for analysis, research, and literary criticism. This is a mandatory course for Ph.D students in Japanese Studies.
Doing oral history is a part of being human. It is also a formalized research practice with histories that vary across disciplines, geographies, and institutional contexts.
In this class, students will be introduced to the many roots of oral history - as an Indigenous practice, in folklore and storytelling, in community organizing and popular education, and as an interdisciplinary research practice. We will explore the histories of oral history as a research practice in a range of national and regional contexts, within the disciplines of history and anthropology, and both within and beyond universities and libraries.
From these many roots, we can trace many branches. Students will learn about contemporary uses of oral history as a decolonial and feminist research method, a tool for organizing, as slow scholarship, as performance, and as a narrative praxis.
As a final project, each student will conduct research, building on assigned course readings, to identify their own relevant oral history roots and define their own approach to doing oral history.
This course is required for Oral History MA students, and open to non-OHMA graduate students space permitting and with instructor’s permission.
This course will introduce students to the main concepts and methods behind regression analysis of temporal processes and highlight the benefits and limitations of using temporally ordered data. Students study the complementary areas of time series data and longitudinal (or panel) data. There are no formal prerequisites for the course, but a solid understanding of the mechanics and interpretation of OLS regression will be assumed (we will briefly review it at the beginning of the course). Topics to be covered include regression with panel data, probit and logit regression of pooled cross-sectional data, difference-in-difference models, time series regression, dynamic causal effects, vector autoregressions, cointegration, and GARCH models. Statistical computing will be carried out in R.
This course will introduce students to the main concepts and methods behind regression analysis of temporal processes and highlight the benefits and limitations of using temporally ordered data. Students study the complementary areas of time series data and longitudinal (or panel) data. There are no formal prerequisites for the course, but a solid understanding of the mechanics and interpretation of OLS regression will be assumed (we will briefly review it at the beginning of the course). Topics to be covered include regression with panel data, probit and logit regression of pooled cross-sectional data, difference-in-difference models, time series regression, dynamic causal effects, vector autoregressions, cointegration, and GARCH models. Statistical computing will be carried out in R.
In the 2015 Paris Agreement, the international community vowed to “reach global peaking of greenhouse gas emissions as soon as possible,” and to achieve “rapid emissions reductions thereafter.” Despite that, however, global emissions continue to increase. The lack of progress has spurred interest in the possibility of removing greenhouse gases directly from the atmosphere. Modelling by the Intergovernmental Panel on Climate Change suggests that atmospheric greenhouse gas removal (GHGR) could help to combat climate change in three ways. First, GHGR could be used to reduce net emissions in the short-term, while countries are in the process of decarbonizing. Second, GHGR could be used to offset residual emissions from hard-to-decarbonize sectors (e.g., aviation) and thus achieve net-zero emissions. Third, in the longer-term, GHGR could be used to achieve net-negative emissions if deployed at levels exceeding residual emissions.
Scientists have proposed a variety of GHGR techniques, but questions remain about their efficacy, benefits, and risks. Technical feasibility is not the only consideration as large-scale deployment of GHGR could raise a host of social, ethical, and governance issues. For example, some climate activists have argued GHGR may discourage action to reduce emissions, and further entrench fossil fuel use. Others have expressed concern about the equity and justice implications of deploying GHGR, arguing
that it could exacerbate existing inequalities and place the most vulnerable at greater risk. Existing governance frameworks may not be effective in preventing these negative outcomes nor maximizing the benefits of GHGR.
This course will explore possible technique for large-scale GHGR. We will discuss the feasibility of deploying different techniques, with a particular focus on the ethical, social, and governance issues that large-scale deployment could raise. We will also consider strategies for advancing just and equitable deployment and explore the role of different actors (e.g., governments, the private sector, and civil society) in ensuring that occurs.
Disaster management is a continuum that is affected by decisions, investments and dynamics that occur before, during and after disasters. The issue of equity in disaster management is emerging from an abundance of evidence that shows that societal inequities often translate into inequitable outcomes and disproportionate impacts from disasters. Community engagement strategies are often touted as a solution to the inequities, but many aspects of community participation are complex, with additional effort and investments required for working with vulnerable and marginalized communities. Further, power dynamics between disaster experts and vulnerable communities may bias approaches to disaster management as well as representation within relevant power structures. This course is designed to explore the variables that impact vulnerability and inequity in disaster management, ultimately leading to inequitable outcomes. It also provides an overview of current and emerging strategies in community engagement designed to foster a “whole of community” approach to disaster management. The purpose of this course is to prepare those entering the climate policy and practice workforce for addressing these challenges by providing an overview of issues of equity and building community partnerships in disaster management. At the end of this course learners will be able to:
Describe social determinants of disaster vulnerability and resilience
Describe how governance and financial structures can drive inequity in the disaster cycle
Identify whole community approaches for disaster management
Identify mechanisms to develop partnerships with underserved communities and emergent partners in disaster management
Demonstrate the ability to develop strategies for disaster management based on best practices for community engagement and addressing equity concerns
This course presents decision science to students, showing it to be a source of concepts and techniques to promote more extensive and effective climate action. It emphasizes the relevance of decision science to students who are planning professional careers in climate-focused organizations and sectors, while also being of value to students who plan future studies in academic and professional programs.
As is widely recognized, there has been insufficient progress towards the goals of stabilizing greenhouse gas concentrations at safe levels and of adapting to existing and projected climate impacts. Understanding how individuals and organizations make decisions is a key step to reducing this gap. Decision science can help design resources (finance, regulation, governance, information and communications) in ways that promote action.
The field of decision science emerged decades ago, drawing on psychology, economics and other social science fields to address problems of poor decision-making in areas such as finance and health. Recent research has extended this field to climate action. It has clarified the obstacles that impede climate decision-making in many settings, and it has developed techniques to improve these decisions. There is an increasing body of empirical research that tests the effectiveness of these techniques in a wide variety of settings.
This course familiarizes students with central concepts and methods of decision science. The modules of the course focus on specific concepts and on techniques linked to them, drawing on concrete examples from climate-relevant domains such as disaster risk reduction, health, energy, water and food security. The readings include studies which assess the effectiveness of specific techniques to support climate decisions. The course covers a range of different approaches. It shows that each of these can be useful to address obstacles to effective decision-making, but there is no silver bullet. Instead, the course provides students with means to select the decision techniques that are effective to address specific issues in specific contexts.
This is an introduction to the theoretical principles and practical application of statistical methods in ecology and evolutionary biology. The course will cover the conceptual basis for a range of statistical techniques through a series of lectures using examples from the primary literature. The application of these techniques will be taught through the use of the R programming language in computer-based in-class exercises and homework assignments.
This course is designed as an elective to the Climate and Society Master of Arts degree program. The purpose of this course is to prepare those entering the climate policy and practice workforce for addressing these challenges and solutions by providing an overview of the fields of economic and housing recovery within the context of climate change and climate driven disasters.
The purpose of this course is to provide students with a deep and broad understanding of stories and how they can be used in strategic communication. Drawing from a wealth of evidence-based and field-tested work on storytelling from both local and global contexts, students will learn why stories tend to be so powerful and—with a focus on the written, performed, and transmedia aspects of storytelling—gain experience in telling stories to achieve organizational objectives. Your skills will be sharpened through lively seminar discussions, storytelling exercises, workshop-style coaching, and presentations and on-camera practice. By the end, students will walk away with a new mindset and a host of strategies that can be immediately implemented in their everyday work.
This seminar is the first half of a two-semester practicum in which students will learn and practice the critical skills required to conceptualize, conduct, analyze and disseminate oral history projects in a range of contexts and communities.
In the Fall semester, we will learn project design, approaches to interviewing and other genres of oral history, remote and in-person audio recording, transcribing, indexing, and digital archiving. Students will have the option of working on oral history projects conducted in partnership with Fieldwork Partners or working on their own projects.
By the Spring semester course on Curating Oral Histories, students will be expected to be primarily working on their own projects. In the Spring we will focus most of our attention on the analysis and dissemination of oral histories, including audio editing, online presentation, museum exhibits, and other public oral history genres. Our spring work will culminate in a collaboratively curated interactive public exhibit
Politics involves a complex interaction of competing interests. For practitioners, it is crucial to understand how efforts are met with responses, and predicting those responses is critical to designing successful strategies. Game theory is the formal mathematical analysis of strategic interaction across the social sciences. This course provides a general theoretical language to the theory of games, examining the intentional thought process of rational actors in strategic environments. Students will acquire tools for understanding the dynamics that lead to the success of a political campaign or policy-making effort. Course topics include two-person games, dynamic games, bargaining, and signaling. Students will also examine a variety of cases.
Students will learn fundamental marketing concepts and their application. By the end of this class you will know: the elements of a market, company strategy, how to identify customers and competition, the fundamental elements of the marketing mix (product, price, placement and promotion) how to research consumer behavior, and pricing strategies. Students will have extensive use of case study projects. Please note that there are separate online and in-person versions of the course, and the modalities offered may vary by semester. Be sure to check the modalities of the sections offered and enroll in the correct modality for your situation.
This course is about cost-benefit analysis and the economic evaluations of policies and projects. Cost benefit analysis (CBA) consists of a comprehensive set of techniques used to evaluate government programs. It is now routinely applied in such program areas as transportation, water projects, health, training and education, criminal justice, environmental protection, urban policy and even in the international arena such as foreign direct investment. Many of the techniques of CBA can also be applied to private sector decision-making. The objective of CBA is to determine whether the benefits of a particular program, policy or decision outweigh its costs. The techniques used to determine this are sometimes quite simple, but on other, increasingly frequent occasions are highly sophisticated. Sophisticated cost benefit studies are based on a framework that utilizes the basic concepts of economic theory. In addition, statistical and econometric analyses are often needed to estimate program effects from diverse available data. The course has two parts: methodology and practice. The goal is for students to be practically adept to undertake an independent cost-benefit analysis.
This course examines the science behind our understanding of how and why forests are responding to changing climatic baseline conditions, and how this can inform management, mitigation and restoration efforts going forward. We will study how climate change affects forest structure, function, biodiversity, and ecosystem services, and delve into the emerging field of climate-smart forestry. Students will integrate theory with hands-on field methods in a pair of 1-hectare forest plots, where they will learn how to measure, analyze, and interpret climate impacts at local scales.
This course is designed to expose students in the QMSS degree program to different methods and practices of social science research. Seminar presentations are given on a wide range of topics by faculty from Columbia and other New York City universities, as well as researchers from private, government, and non-profit settings. QMSS students participate in a weekly seminar. Speakers include faculty from Columbia and other universities, and researchers from the numerous corporate, government, and non-profit settings where quantitative research tools are used. Topics have included: Now-Casting and the Real-Time Data-Flow; Art, Design - Science in Data Visualization; Educational Attainment and School Desegregation: Evidence from Randomized Lotteries; Practical Data Science: North American Oil and Gas Drilling Data.
This course is designed to expose students in the QMSS degree program to different methods and practices of social science research. Seminar presentations are given on a wide range of topics by faculty from Columbia and other New York City universities, as well as researchers from private, government, and non-profit settings. QMSS students participate in a weekly seminar. Speakers include faculty from Columbia and other universities, and researchers from the numerous corporate, government, and non-profit settings where quantitative research tools are used. Topics have included: Now-Casting and the Real-Time Data-Flow; Art, Design - Science in Data Visualization; Educational Attainment and School Desegregation: Evidence from Randomized Lotteries; Practical Data Science: North American Oil and Gas Drilling Data.
Life Cycle Assessment (LCA), a methodology to assess the environmental impact of products, services, and industrial processes is an increasingly important tool in corporate sustainability management. This course teaches both the theoretical framework as well as step-by-step practical guidelines of conducting LCAs in companies and organizations. Particular emphasis is placed on separating the more academic, but less practically relevant aspects of LCA (which will receive less focus) from the actual practical challenges of LCA (which will be covered in detail, including case studies). The course also covers the application of LCA metrics in a companies’ management and discusses the methodological weaknesses that make such application difficult, including how these can be overcome. Product carbon footprinting (as one form of LCA) receives particular focus, owing to its widespread practical use in recent and future sustainability management.
This course has two goals. One, it is designed to expose students in the QMSS degree program to different methods and practices of social science research. Seminar presentations are given on a wide range of topics by faculty from Columbia and other New York City universities, as well as researchers from other settings. Two, it is also designed to give students important professional development skills, particularly around academic writing, research methods and job skills.
This course examines the strategic role for communication in driving organizational outcomes. It covers key aspects of communication management, including how to plan, implement and measure strategic communication initiatives. Students learn to assess organizational needs, identify stakeholders and draft messaging that speaks credibly to a variety of constituencies, both internal and external. We also emphasize fundamental business skills, such as interpreting financial reports and understanding the language of business.
Prerequisites: BUSI PS5020 Introduction to Marketing/or Professor Approval is required Students will develop analytical skills used to formulate and implement marketing driven strategies for an organization. Students will develop a deeper understanding of marketing strategies and how to implement tactics to achieve desired goals. Students will work on case study projects in both individual and team based projects. By the end of this course, you will be able to develop a marketing strategy based on market assessments and company needs.
The purpose of this course is to provide an overview of trends and best practices in corporate communications relating to sustainability, with a particular focus on global sustainability reporting frameworks and green marketing communications. It is designed for those who hold/will hold positions in organizations with responsibilities for communicating the sustainability goals, challenges and achievements, as well as accurately and honestly communicating the environmental aspects of an organization's products and services. Increasingly, large corporations are creating c-suite roles or dedicated departments to oversee this function. More typically, multiple functions contribute information such as: Corporate Communications, Marketing, Community Affairs, Public Policy, Environmental Health & Safety, R&D, Facilities, Operations and Legal. Benefits of reporting range from building trust with stakeholders, and uncovering risks and opportunities; to contributing to stronger long-term business strategy, and creating new products and services.
Prerequisites: some familiarity with the basic principles of partial differential equations, probability and stochastic processes, and of mathematical finance as provided, e.g. in MATH W5010. Prerequisites: some familiarity with the basic principles of partial differential equations, probability and stochastic processes, and of mathematical finance as provided, e.g. in MATH W5010. Review of the basic numerical methods for partial differential equations, variational inequalities and free-boundary problems. Numerical methods for solving stochastic differential equations; random number generation, Monte Carlo techniques for evaluating path-integrals, numerical techniques for the valuation of American, path-dependent and barrier options.
This course is designed for students interested in entrepreneurship and becoming CEO/Founders or leaders in industry as innovators and operators. The class is appropriate for those with a strong interest in new ventures or innovation at the corporate level, or for those who want to develop an entrepreneurial mindset even if you have no plans to start a business. This includes potential entrepreneurs, those interested in the financing of new ventures, working in new ventures, or a portfolio company, or in broader general management of entrepreneurial firms. Entrepreneurial topics include: the entrepreneurial journey, founders & co-founders, the art of the pitch, shaping opportunities, traditional business models, business models for the greater good, the lean startup method and the hypothesis-driven approach, technology strategy, product testing, marketing strategy, entrepreneurial marketing, venture financing and emerging developments. Academic readings, analysis of case studies, class discussions, independent exercises, reading assessments, team work, guest speakers, investor panels, weekly deliverable options and a final investor pitch are the main modalities used to help you learn and assist you on your entrepreneurial path. There are no prerequisites for this course.
This course provides an overview of the science related to observing and understanding sea-level rise, which has a profound impact on the sustainability of coastal cities and ecosystems. In modern research, sea-level rise is viewed as a complex response of the Earth “system of systems” to climate change. Measuring ongoing sea-level change is challenging due to the great natural variability of sea level on short time scales caused by tides, weather, and ocean currents. Interpreting measurements so that one can assess (and mitigate against) potential economic and societal impacts of sea-level rise is crucial but can be complicated, since so many Earth-system processes play a role. Some of these processes are related and others are unrelated to climate change; some of the latter are natural and others are of anthropogenic origin. Students enrolled in this course will through lectures and class discussions address topics related to the underlying observational basis for sea-level rise. Given the complexity of sea level rise, it is important for those in technical positions to understand the systems level interactions that not only lead to rising waters but also the consequences that these changes inflict on other parts of our environment. What we hear most commonly is that sea level rise will affect hundreds of millions of people living in coastal areas and make those populations susceptible to flooding. But in addition to this community effect, sea level rise also have dramatic effects on coastal habitats, leading to issue such as erosion, soil contamination, and wetland flooding, just to name a few. This course will introduce and prepare students to develop a more comprehensive and holistic approach to sea level rise. By training students to observe, measure, interpret, and begin to predict how sea level rise affects populations and communities differently, students will be in strong positions to address, mitigate, and adapt to the challenges more effectively using evidence-based approaches.
This course presents a survey of Latin American cinemas focusing on films directed by women filmmakers from the 1960s up to the present day. This broad historical perspective will help us understand how films made by women directors have developed in the region in close dialogue with the complex historical and political context in which these productions emerged. What are the main topics explored by these women filmmakers? How have these films been produced? What are the similarities and differences between these women’s works? Is it possible to talk about feminist film in Latin America? While we explore these issues, we will be learning about a wide range of national and transnational film histories, examining the work of major women filmmakers working both within and outside of their countries of origin.
This course brings students from The School of the Arts and The Climate School together to explore new and compelling approaches to navigating climate solutions in the worlds we create and the stories we tell in theater, film, television, digital, visual art, and creative writing. In our current era of rapid change and transformation, artists and environmentalists have an important role to play in grasping the zeitgeist through an integrated lens of science, culture, and imagination.
Interdisciplinary collaboration in storytelling can drive feelings of understanding and agency by articulating the massive social changes that are imminent and the emotional uncertainties around climate. There’s a rapidly growing audience for these stories — but there are way too few of them. Delving into key areas of environmental concerns, students will learn how to access and analyze systems of science-based research and innovation, and build new muscles in storytelling, cultural strategies and longterm thinking for a wide range of artistic visions. Arts students will strengthen climate literacy and sciencethinking skills; Climate students will strengthen storytelling skills. We will study the connection between stories and audiences, including multi-cultural perspectives across the platforms where we consume arts and entertainment today. Together we will explore a multitude of narrative structures and styles of storytelling and we will produce fresh thinking for this generation around the role that climate storytelling can play in popular culture and adapting to change. Students will track their evolution of their vision over the span of the course, culminating in Week/Class 11: The Republic of Zeitgeist & Our Future, where students lead and co-teach this class around our collective visions for what our future should be.
Students will participate through creative writing assignments, student-led discussions and team exercises, and watching & reading climate content. We will practice collaborative strategies to explore new ways to tell creative and complex human stories in the arts and assess effective ways to shift culture to imagine and adapt to what life on a transformed global scale may become for all of us.
Global greenhouse gas (GHG) emissions are now at a record high, and the world’s scientific community agrees that continued unabated release of greenhouse gases will have catastrophic consequences. Many efforts to curb greenhouse gas emissions, both public and private, have been underway for decades, yet it is now clear that collectively these efforts are failing, and that far more concerted efforts are necessary. In December 2015, the world’s nations agreed in Paris to take actions to limit the future increase in global temperatures well below to 2°C, while pursuing efforts to limit the temperature increase even further to 1.5°C. Achieving this goal will require mitigation of greenhouse gas emissions from all sectors, both public and private. Critical to any attempt to mitigate greenhouse gas emissions is a clear, accurate understanding of the sources and levels of greenhouse gas emissions. This course will address all facets of greenhouse gas emissions accounting and reporting and will provide students with tangible skills needed to direct such efforts in the future.
Students in this course will gain hands-on experience designing and executing greenhouse gas emissions inventories for companies, financial institutions and governments employing all necessary skills including the identification of analysis boundaries, data collection, calculation of emissions levels, and reporting of results. In-class workshops and exercises will complement papers and group assignments. A key component of this course will be critical evaluation of both existing accounting and reporting standards as well as GHG emissions reduction target setting practices.
This course will introduce many of the challenges facing carbon accounting practitioners and will require students to recommend solutions to these challenges derived through critical analysis. Classes will examine current examples of greenhouse gas reporting efforts and will allow students the opportunity to recommend improved calculation and reporting methods.
Grad section for FILM UN 2190 Topics in American Cinema. Comedy or Film Noir
Comedy:
This course will explore the history of American film comedy from the origins of cinema to the present. In its various forms, comedy has always been a staple of American film production; but it has also always been a site of heterogeneity and nonconformity in the development of American cinema, with neither its form nor its content fitting normative models of film practice. This course accounts for that nonconformity by exploring comedy’s close and essential links to “popular” cultural sources (in particular, vaudeville, variety, stand-up); it looks at how different comic filmmakers have responded to and reshaped those sources; and it examines the relation between comedy and social change. Rather than engage the entire spectrum of comic styles (animation, mockumentary, etc.), this course is primarily focused on a single tradition bridging the silent and sound eras: the performance-centered, “comedian comedy” format associated with performers as diverse as Charlie Chaplin, Mae West, the Marx Brothers, and, into the present Amy Schumer, Kevin Hart, Will Ferrell, and others. “Laughter and its forms,” writes theorist Mikhail Bakhtin, “represent the least scrutinized sphere of the people's creation.” This course will restore film comedy to the scrutiny it deserves, examining both its inward formal development and its external relation to other modes of cultural expression.
Film Noir:
This course surveys the American film genre known as film noir, focusing primarily on the genre’s heyday in the 1940s and early 1950s, taking into account some of its antecedents in the hard-boiled detective novel, German Expressionism, and the gangster film, among other sources. We will consider a number of critical and theoretical approaches to the genre, and will also study a number of film noir adaptations and their literary sources.
Prerequisites: BUSI PS5001 Intro to Finance and BUSI PS5003 Corporate Finance or Professor Approval required. If you have not taken PS5001 or PS5003 at Columbia University, please contact the course instructor for approval. Students will learn about the valuation of publicly traded equity securities. By the end of the semester students will be able to perform fundamental analysis (bottoms-up, firm-level, business and financial analysis), prepare pro forma financial statements, estimate free cash flows and apply valuation models.
Environmental, social and governance issues (‘ESG’) are moving to center stage for corporate boards and executive teams. This elective course complements management and operations courses by focusing on the perspective and roles of the board and C-suite of corporations, financial institutions and professional firms in addressing ESG risks as well as promoting and overseeing governance aligned with ESG principles. The course focuses on the interchange between the external legal, competitive, societal, environmental and policy ‘ecosystems’ corporations face (which vary around the world) and a company’s internal structure, operations and pressures. We will use the United Nations Guiding Principles on Business and Human Rights and the UN Global Compact Principles (which incorporate all aspects of ESG) as the central frameworks to explore the concept of a corporation’s responsibility to respect and remedy human rights and environmental harms. We will also examine the Equator Principles and other frameworks that spell out good practices for project finance and other investment decisions, and reference a wide range of the myriad indices, supplier disclosure portals and benchmarks that exist in this inter-disciplinary field. Relevant regulations, corporate law regimes and court cases will be discussed from the point of view of what business managers need to know. While most of the course will deal with companies and firms serving global, regional or national markets, several examples will deal with the question of how the ESG ecosystem affects or offers opportunities to start-ups.
Natural hazards, naturally occurring phenomena, which can lead to great damage and loss of life, pose a great challenge for the sustainability of communities around the world. This course aims to prepare students to tackle specific hazards relevant to their life and work by providing them the scientific background and knowledge of the environmental factors that combine to produce natural disasters. The course will also train students about the methods used to study certain aspects of natural hazards and strategies for assessing risk and preparing communities and businesses for natural disasters. The course will cover a range of natural hazards, including geological, hydro-meteorological, and biological. The course will emphasize the driving physical, chemical and biological processes controlling the various hazards, and the observation and modeling methods used by scientists to assess and monitor events. Many case examples, including hurricanes, earthquakes and volcanic eruptions that occurred in the last five years, will be given and analyzed for the characteristics of the event, the preparation, and the response.
By providing students with a solid understanding of past natural disasters, the course prepares them to think more critically about creating more resilient communities, which can resist catastrophic events. Students will be studying the underpinning scientific principles of natural disasters but will also learn specific strategies for planning, mitigation, and response. During the course, students will master cutting-edge tools and technologies that will prepare them to work in the complex and demanding field of disaster management. After completing the course, students will be able to understand past events, communicate risk, and make critical decision related to disaster and preparedness. In increasingly unpredictable times, there is a need for more resilient and connected communities, and this particular course will train students in both the knowledge and skills needed to lead and strengthen those communities and resilience efforts at scale.
Advising Note:
Students are expected to have taken college-level Calculus, Physics, and Introductory Statistics. Students are expected to have experience with computer based data analysis (Excel, R, Matlab or Python).
This course explores the carbon cycle on Earth and its role in the climate system. Students will gain a broad overview of the cycling of carbon among the major biogeochemical reservoirs, the terrestrial biosphere (Module 1) and the ocean (Module 2), as well as their exchange with the atmosphere. Major topics include climate variability and change on human, millennial, and geological time scales (Module 3). In Module 4, we will explore perturbations to the carbon cycle from human activities, and how the use of fossil carbon since the industrial revolution has led to profound transformations in the cycling of carbon among land, oceans, and atmosphere and disrupted Earth’s climate.
In this course, we examine the complex interdependencies between global food trade systems, climate-related and socioeconomic shocks, and human migration patterns. Together, we'll explore how disruptions propagate through international food networks, analyzing these systems through the lenses of agricultural economics, climate science, and geopolitics. We will investigate how various shocks—from climate extremes and armed conflicts to market volatility and pandemics—impact food security and trigger population movements across diverse regions and scales. Throughout the semester, we'll pay particular attention to climate change as a threat multiplier that intensifies existing vulnerabilities in our global food systems. By combining data analysis, case studies, and theoretical frameworks, we'll develop a nuanced understanding of the food-climate-migration nexus that shapes our modern world.
This multidisciplinary approach will enable us to examine concepts of resilience and evaluate diverse solutions for strengthening food systems' ability to absorb shocks, from diversified production and redundant supply chains to adaptive governance mechanisms and transformative policy interventions that enhance robustness across scales. We will specifically investigate how different metrics of resilience—including redundancy, diversity, modularity, and connectivity—can be operationalized in food trade networks to reduce vulnerability to cascading failures that often trigger migration responses. Through quantitative analysis and case studies, we'll assess how strategies such as regional food reserves, alternative distribution channels, and early warning systems affect both food security and human mobility patterns. This integrated approach allows us to explore interventions that simultaneously strengthen food systems and provide migration-sensitive adaptations, recognizing that human mobility itself can be both a vulnerability and a resilience strategy in the face of food system disruptions.
This course examines the complex interplay between energy systems, political power, and societal transformation across historical periods—from the coal-powered dawn of the Industrial Revolution to the contemporary turn to renewables. Throughout, we focus on three interrelated threads: the political economy of energy regime shifts, the role of technological innovation in shaping these transitions, and the centrality of labor and labor politics in energy transitions. Themes and topics include: the relationship between fossil fuels and modern state formation; the centrality of energy resource control to geopolitical power; the history of electrification and its social impacts; the political dimensions of nuclear energy development; the rise of environmental movements; energy justice and democracy; corporate influence on energy policy, labor-environmental coalitions, and the contested politics of climate change mitigation. Though primarily historical in its focus, the course also draws on literature from science and technology studies, environmental sociology, political economy, energy studies, and climate policy analysis. Students will gain insight into how energy transitions both reflect and reshape political possibilities, with particular attention to recent debates surrounding the Green New Deal and other decarbonization strategies.
The course addresses an important issue in climate action. Much progress has been made in recent decades in identifying the causes and consequences of climate change, and in developing a wide variety of approaches to address these two. Because of these advances, options for action have multiplied. In many sectors, a set of different approaches have been proposed. Before any one of those approaches is put into practice, it is useful to weigh it in comparison to the other approaches, to see whether it fits the specific context and population best.
This course critically examines key concepts to enable students to navigate contested terrains and design more effective approaches to climate action. Students will develop skills to critically assess climate narratives, concepts, and communicate with nuance and depth to important audiences in the climate sphere. The frameworks are assessed through a critical lens, looking at the challenges of bridging different languages–whether the six official UN languages, or national and Indigenous languages, or the languages of experts and everyday communities. The course has a strong environmental justice lens as well, looking at how seemingly slight variation in approaches can have significant consequences on marginalized communities. By the end of this course, students will have the tools to critically examine the role of frameworks and language to design impactful climate action.
The course goes through the main concepts, starting with Module 1: Foundational Climate Systems, which unpacks our use and understanding of the concepts that provide building blocks that the climate movement is built on: nature, environment, society, economy and politics. Central Park will serve as a case study to illustrate the connections and differences between these concepts. This is followed by Module 2: Dynamic Climate Systems, which examines the concepts that describe progress of climate action and the climate movement through time: sustainability, development, resilience, transformation and Indigenous knowledge. Elizabeth Kolbert’s book H is for Hope will serve as a resource to compare these concepts. Each concept will first be introduced through a lecture for the first half of class, followed by an integration of the concept to real-life contexts through interactive activities, grounding in documents, and projects. Module 3: Multiple Frameworks for Climate Sectors integrates the first two modules and examines their relevance for specific sectors o
This course is a core course for all Climate School students in the MA in Climate and Society and MS in Climate 1.5 credits in the fall and 1.5 credits in the spring. It is a practicum-style course focused on the application of classroom learnings in a range of professional and real-world situations.
At the beginning of the fall semesters, students will be grouped in teams and assigned a previous years’ Capstone project (a summer project that former CS students have produced in partnership with an external partner). Students will use this previous capstone project to practice skills including: stakeholder engagement strategies, communication and presentation skills, systems thinking, and project planning.
The fall will be focused on grounding in the topic and challenge of the capstone project, stakeholder discovery and mock engagement, and evaluating its application to the New York City context. The spring will be focused on evaluation of problem definition of the client, work planning and project planning, learning from the client and/or alumni about the outcomes and contemporary challenges/applications of the project, and producing a final project as a team. By the end, students will be prepared to fully engage with their own capstone projects in future semesters, will have honed critical skills to support successful professional applications of their Climate School courses, and will have a ‘mission and values statement’ to guide their future practice as professionals.
This course is a core course for all Climate School students in the MA in Climate and Society and MS in Climate 1.5 credits in the fall and 1.5 credits in the spring. It is a practicum-style course focused on the application of classroom learnings in a range of professional and real-world situations.
At the beginning of the fall semesters, students will be grouped in teams and assigned a previous years’ Capstone project (a summer project that former CS students have produced in partnership with an external partner). Students will use this previous capstone project to practice skills including: stakeholder engagement strategies, communication and presentation skills, systems thinking, and project planning.
The fall will be focused on grounding in the topic and challenge of the capstone project, stakeholder discovery and mock engagement, and evaluating its application to the New York City context. The spring will be focused on evaluation of problem definition of the client, work planning and project planning, learning from the client and/or alumni about the outcomes and contemporary challenges/applications of the project, and producing a final project as a team. By the end, students will be prepared to fully engage with their own capstone projects in future semesters, will have honed critical skills to support successful professional applications of their Climate School courses, and will have a ‘mission and values statement’ to guide their future practice as professionals.
This course is a core course for all Climate School students in the MA in Climate and Society and MS in Climate 1.5 credits in the fall and 1.5 credits in the spring. It is a practicum-style course focused on the application of classroom learnings in a range of professional and real-world situations.
At the beginning of the fall semesters, students will be grouped in teams and assigned a previous years’ Capstone project (a summer project that former CS students have produced in partnership with an external partner). Students will use this previous capstone project to practice skills including: stakeholder engagement strategies, communication and presentation skills, systems thinking, and project planning.
The fall will be focused on grounding in the topic and challenge of the capstone project, stakeholder discovery and mock engagement, and evaluating its application to the New York City context. The spring will be focused on evaluation of problem definition of the client, work planning and project planning, learning from the client and/or alumni about the outcomes and contemporary challenges/applications of the project, and producing a final project as a team. By the end, students will be prepared to fully engage with their own capstone projects in future semesters, will have honed critical skills to support successful professional applications of their Climate School courses, and will have a ‘mission and values statement’ to guide their future practice as professionals.
This course is a core course for all Climate School students in the MA in Climate and Society and MS in Climate 1.5 credits in the fall and 1.5 credits in the spring. It is a practicum-style course focused on the application of classroom learnings in a range of professional and real-world situations.
At the beginning of the fall semesters, students will be grouped in teams and assigned a previous years’ Capstone project (a summer project that former CS students have produced in partnership with an external partner). Students will use this previous capstone project to practice skills including: stakeholder engagement strategies, communication and presentation skills, systems thinking, and project planning.
The fall will be focused on grounding in the topic and challenge of the capstone project, stakeholder discovery and mock engagement, and evaluating its application to the New York City context. The spring will be focused on evaluation of problem definition of the client, work planning and project planning, learning from the client and/or alumni about the outcomes and contemporary challenges/applications of the project, and producing a final project as a team. By the end, students will be prepared to fully engage with their own capstone projects in future semesters, will have honed critical skills to support successful professional applications of their Climate School courses, and will have a ‘mission and values statement’ to guide their future practice as professionals.
This course is a core course for all Climate School students in the MA in Climate and Society and MS in Climate 1.5 credits in the fall and 1.5 credits in the spring. It is a practicum-style course focused on the application of classroom learnings in a range of professional and real-world situations.
At the beginning of the fall semesters, students will be grouped in teams and assigned a previous years’ Capstone project (a summer project that former CS students have produced in partnership with an external partner). Students will use this previous capstone project to practice skills including: stakeholder engagement strategies, communication and presentation skills, systems thinking, and project planning.
The fall will be focused on grounding in the topic and challenge of the capstone project, stakeholder discovery and mock engagement, and evaluating its application to the New York City context. The spring will be focused on evaluation of problem definition of the client, work planning and project planning, learning from the client and/or alumni about the outcomes and contemporary challenges/applications of the project, and producing a final project as a team. By the end, students will be prepared to fully engage with their own capstone projects in future semesters, will have honed critical skills to support successful professional applications of their Climate School courses, and will have a ‘mission and values statement’ to guide their future practice as professionals.
This seminar offers participants the opportunity to listen to practitioners discuss a range of important topics in the financial industry. Topics may include portfolio optimization, exotic derivatives, high frequency analysis of data and numerical methods. While most talks require knowledge of mathematical methods in finance, some talks are accessible to a more general audience.
This course gives students two credits of academic credit for the work they perform in such an social science oriented internships.
What are urban infrastructures that promote sustainability? Such infrastructure must reduce environmental pollution at all scales, provide necessary urban services efficiently and enhance urban resilience to multiple potential crises. Sustainable infrastructure also must promote social and economic equity and environmental justice. And sustainable infrastructure must be economically feasible. This class will use these concepts to evaluate urban infrastructure and identify challenges to making urban infrastructure sustainable. Importantly, the course will use theories of urban transitions to help identify the drivers of potential change in infrastructure development and envision the emergence of sustainable infrastructure. This class will examine these notions across the energy, transportation, water supply and waste water treatment, buildings, health and open space urban sectors.
Following the events of Hurricane Sandy, New York City has emerged as a leading city for climate action, pushing forward and experimenting with a broad range of climate policies and tools, including climate adaptation and resilience measures, decarbonization actions and legislation, environmental justice, and fossil fuel divestment, among others.
This course will offer a focused study of New York City’s approach to confronting our climate crisis. This will include an exploration of the many actions taken by NYC, their effectiveness, and proposals to build upon or improve them. This course is designed to encourage active participation and practical application of the material. The assignments and activities aim to help students build a solid understanding of key concepts while developing analytical skills, which will then apply to real-world scenarios. Guest lecturers with experience in New York City’s climate policy actions may join from time to time.
This course emphasizes the perspectives of foundational thinkers on the evolution and dynamics of social life. Readings address key sociological questions; including the configuration of communities, social control, institutions, exchange, interaction, and culture.
Course Objectives
By the end of this course, you should be able to:
Understand and critically engage with the varied narratives, objectives, and instruments of climate finance, and how they apply across sectors, regions, and institutional settings.
Understand and analyze the roles of key actors—governments, multilateral institutions, investors, insurers, and civil society—and the financial and legal mechanisms that shape capital flows.
Identify and assess the persistent challenges in climate finance, including disparities in access and cost of capital, weak institutional coherence, and gaps between risk frameworks and climate impact.
Critically evaluate current tools and approaches—such as blended finance, credit guarantees, insurance products, and rating systems—and engage with proposals for structural reform.
This practicum course is meant to offer valuable training to students. Specifically, this practicum will mimicthe typical conditions that students would face in an internship in a large data-intense institution. Thepracticum will focus on four core elements involved in most internships: (1) Developing the intuition andskills to properly scope ambiguous project ideas; (2) practicing organizing and accessing a variety oflarge-scale data sources and formats; (3) conducting basic and advanced analysis of big data; and (4)communicating and “productizing” results and findings from the earlier steps, in things like dashboards,reports, interactive graphics, or apps. The practicum will also give students time to reflect on their work, andhow it would best translate into corporate, non-profit, start-up and other contexts.
This practicum will mimic the typical conditions that students would face in an internship in a
large data-intense institution. The practicum will focus on four core elements involved in most
internships:
• developing the intuition and skills to properly scope ambiguous project ideas;
• practicing organizing and accessing a variety of large-scale data sources and formats;
• conducting basic and advanced analysis of big data; and
• communicating and “productizing” results and findings from the earlier steps, in things
like dashboards, reports, interactive graphics, or apps.
The practicum will also give students time to reflect on their work, and how it would best
translate into corporate, non-profit, start-up and other contexts.
Students enrolled in the Quantitative Methods in the Social Sciences M.A. program have a number of opportunities for internships with various organizations in New York City. Over the past three years, representatives from a number of different organizations – including ABC News, Pfizer, the Manhattan Psychiatric Center, Merrill Lynch, and the Robert Wood Johnson Foundation – have approached students and faculty in QMSS about the possibility of having QMSS students work as interns. Many of these internships require students to receive some sort of course credit for their work. All internships will be graded on a pass/fail basis.
This practicum course is meant to offer valuable training to students. Specifically, this practicum will mimicthe typical conditions that students would face in an internship in a large data-intense institution. Thepracticum will focus on four core elements involved in most internships: (1) Developing the intuition andskills to properly scope ambiguous project ideas; (2) practicing organizing and accessing a variety oflarge-scale data sources and formats; (3) conducting basic and advanced analysis of big data; and (4)communicating and “productizing” results and findings from the earlier steps, in things like dashboards,reports, interactive graphics, or apps. The practicum will also give students time to reflect on their work, andhow it would best translate into corporate, non-profit, start-up and other contexts.
This practicum course is meant to offer valuable training to students. Specifically, this practicum will mimicthe typical conditions that students would face in an internship in a large data-intense institution. Thepracticum will focus on four core elements involved in most internships: (1) Developing the intuition andskills to properly scope ambiguous project ideas; (2) practicing organizing and accessing a variety oflarge-scale data sources and formats; (3) conducting basic and advanced analysis of big data; and (4)communicating and “productizing” results and findings from the earlier steps, in things like dashboards,reports, interactive graphics, or apps. The practicum will also give students time to reflect on their work, andhow it would best translate into corporate, non-profit, start-up and other contexts.
This practicum course is meant to offer valuable training to students. Specifically, this practicum will mimicthe typical conditions that students would face in an internship in a large data-intense institution. The practicum will focus on four core elements involved in most internships: (1) Developing the intuition andskills to properly scope ambiguous project ideas; (2) practicing organizing and accessing a variety oflarge-scale data sources and formats; (3) conducting basic and advanced analysis of big data; and (4)communicating and “productizing” results and findings from the earlier steps, in things like dashboards,reports, interactive graphics, or apps. The practicum will also give students time to reflect on their work, andhow it would best translate into corporate, non-profit, start-up and other contexts.
The class is roughly divided into three parts: 1) programming best practices and exploratory data analysis (EDA); 2) supervised learning including regression and classification methods and 3) unsupervised learning and clustering methods. In the first part of the course we will focus writing R programs in the context of simulations, data wrangling, and EDA. Supervised learning deals with prediction problems where the outcome variable is known such as predicting a price of a house in a certain neighborhood or an outcome of a congressional race. The section on unsupervised learning is focused on problems where the outcome variable is not known and the goal of the analysis is to find hidden structure in data such as different market segments from buying patterns or human population structure from genetics data.