Corporate social innovation is an evolving practice of organizations of varying size and purpose to adapt to business activities with mission-driven models that produce social and environmental outcomes. The course will rigorously explore the evolution and modalities of corporate social responsibility, with particular attention to cross-sector collaboration with government and civil society, often using innovative social finance mechanisms, impact measurement, to get there.
Courses
Search for a course by title or keyword, or browse by a school-wide Focus Area, such as: Inequality, Race, and Poverty; Environment and Climate Change; or Social Justice and Democracy.
Displaying 145 - 168 of 243
This course provides an introduction to the impact investing landscape and its evolution, players, and tools. After situating impact investing vis à vis both other forms of investing and other social change tools, we explore what makes an investment impactful - and how one would go about determining that and measuring it. Through a combination of readings, case studies, class discussion, and projects, students will gain deep insight into the perspective of the impact investor and consider how it relates to other stakeholders and to social change writ large.
The Economics of Public Policy analyzes the impact of public policy on the allocation of resources and the distribution of income in the economy. In this course, you will learn how to use the tools of microeconomics and empirical analysis to answer these questions: When should the government intervene in the economy? How might the government intervene? And, what are the effects of those interventions on economic outcomes?
The past decade has seen the increasing availability of very large scale data sets, arising from the rapid growth of transformative technologies such as the Internet and cellular telephones, along with the development of new and powerful computational methods to analyze such datasets. Such methods, developed in the closely related fields of machine learning, data mining, and artificial intelligence, provide a powerful set of tools for intelligent problem-solving and data-driven policy analysis.
This course builds on the material from the core Financial Management class to further develop skills in managerial and financial accounting. The course covers the recording process (journal entries, T-accounts, adjusting entries, and closing entries), financial statement modeling, and financial statement analysis. In addition, students will learn more about for-profit accounting and corporate structure, as well as how financial management differs across the government, not-for-profit, and for-profit sectors.
This course introduces students to the main areas of corporate finance and how they relate to policy issues and discussions. The course covers topics in the three main areas of corporate finance: 1) capital structure (financing choices), 2) valuation (project and firm valuation) and 3) corporate governance (optimal governance structures). We will analyze how public policy, through taxes, public expenditures and regulation, affect these aspects of corporate finance.
This course, “Urban Design— Visualization Tools & Neighborhood Challenges,” will introduce students to visualization techniques in a series of linked exercises during the first half of the semester; in the second half of the semester, students will further develop these visualization and design tools as they address challenges and opportunities in a rapidly-changing New York City neighborhood. Instructor Joanna Simon will teach the first half of the course while Professor Louise Harpman will teach the second half.
This course examines the social, economic and environmental dimensions of sustainable urban development. Some of the major themes explored include indicators of sustainability, urban demographic trends, environmental justice, green building, urban sprawl, sustainable energy and transportation, and global climate change. In addition, the role of information technology (IT) and social networks is discussed in the context of promoting ideas globally about sustainable development.
This course offers a hands-on opportunity for doctoral and advanced masters students to experience the practice of qualitative research. We will address the nature of qualitative research in the administrative and policy sciences, with ample opportunities to discuss the implications of the choices made in designing, implementing and reporting on the findings of a “mock” project which we will determine in class, with your input.
Public service work involves some amount of writing and communications. But the tools for success have dramatically changed in the last few years with the development and deployment of Large Language Models and Artificial Intelligence. This communications course will equip students with the skills to leverage AI tools, such as GPT, GrammarlyGo, and other AI products, to produce compelling and persuasive communication deliverables.
This course will provide a field opportunity for students to investigate the current practices of an El Salvadoran social enterprise, Acceso Oferta Local – El Salvador, which aggregates agricultural products (fruit, vegetable, fish and seafood) procured from low-income producers.
Effective development, planning execution and communication of special projects are critical to all types of public service organizations. Service organization, health providers, nonprofits and government organizations constantly pursue new initiatives and projects to address the demands of their constantly changing environment. This course offers an introduction to the basic concepts and methods for directing projects and provides students with tools that prepare them for success as a project manager.
This is an advanced course for students who plan to become policy analysts. Students (a) extend their familiarity with methodologic issues, including research designs, measurement problems, and analytic approaches; (b) get hands-on experience with management, analysis, and presentation of data; and (c) develop skills in reading, critiquing, and reporting on policy-relevant research.
While some countries have achieved unprecedented rates of economic growth in the past half century, other countries have experienced set-backs. For those that have seen rapid growth, economic changes have not always translated into proportional social changes – and sometimes rapid social changes have occurred in the absence of economic growth.
This course explores the political and economic policy issues surrounding hunger and food security, drawing on many case examples. The course will provide an overview of some of the core dimensions of global hunger and food security policy issues, including debates over reconfiguring food systems to address health, equity, and sustainability; a new green revolution; food aid; fair trade, and role of the food system in addressing climate change.
The goal of this course is to develop the key data analytics skill sets necessary to inform evidence-based policy. Its design offers hands-on training in how to make sense of and use large scale real world heterogeneous datasets in the context of addressing real world problems. Students will learn how to scope a policy problem, understand the data generation process, how to manage, combine, and structure data, and how to create, measure and analyze the effect of different data decisions.
Corporate philanthropy and engagement is an evolving space which is critical to the existence and operation of nonprofit organizations. The role of the private sector in helping nonprofits achieve their mission, serve their clients and realize their expected goals and outcomes is unique and very different from the role that government funders and individual major donors play.
The NYU Impact Investment Fund (NIIF) is a unique inter-disciplinary, experiential learning course which is offered in tandem with a student-led and operated Impact Investing Fund of the same name. For students to participate in the Fund they are required to be enrolled in this course.
The course focuses on economic inequality and poverty, drawing on research in economics and other social sciences. The aim is to explore research questions, recent empirical approaches, and policy responses. The course draws on international experiences, with a tilt toward the United States, and an emphasis on framing problems comparatively.
This course introduces students to basic statistical methods and their application to management, policy, and financial decision-making. The course covers the essential elements of descriptive statistics, univariate and bivariate statistical inference, and introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis. The primary goal of this course is to introduce these basic skills and encourage a critical approach to reviewing statistical findings and using statistical reasoning in decision making.
This course introduces students to basic statistical methods and their application to management, policy, and financial decision-making. The course covers the essential elements of descriptive statistics, univariate and bivariate statistical inference, and introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis, using the software package, Stata.
Open only to students in the MSPP program. Policy and Data Studio builds on the core courses, your advanced coursework, and is specifically meant to deepen your data and data analytic skills, in the content of a policy issue. Studio is a unique end event where you will use data to shed light on a policy question of your choice using the technical skills and specialized knowledge gained from the program.
Open only to students in the MSPP program. This course will provide students with an opportunity to engage in policy analysis in situations that mimic the real world practice of the craft of policy analysis. In practice, policy analysis requires drawing inferences from limited information, under time pressure and data constraints. It requires asking the right questions, finding the right data, assessing the quality of the data and analyses, and communicating results effectively in writing and in person.
This course brings together a wide range of thinking and scholarship to encourage learning about what race is, why it matters, race and racism in organizations and how to build racial equity and justice at work.