Bernice Rosenzweig

Climate change is the greatest environmental challenge currently facing humanity. If allowed to continue unabated, its future impacts will be catastrophic for both natural ecosystems and human society. But while some climate change is “locked in” due to past greenhouse gas emissions, there is still time to develop infrastructure systems and environmental management policies to avoid many of the worst potential impacts. In this course, we will explore the concept of “ecological resilience” and how it can be applied to environmental management challenges such as climate change. We will learn about how natural and social scientists collaborate to develop projections of climate-changed futures, along with the science underlying climate-change mitigation and adaptation strategies. This course will meet as a weekly lecture with a weekly group conference. During group conference, students will have the opportunity to work together on a “visioning” project to develop a plausible scenario of a hopeful, climate-resilient future.

The global environmental movement of the past half-century coincided with a technological revolution that has allowed us to collect many types of new data about our planet. From remote data generated by satellites, to data generated by sensors operating under harsh environmental conditions, to crowdsourced observations submitted by the general public, environmental scientists now have access to a wealth of new information that can be used to better understand Earth systems and the ways that human activities impact our environment. In this seminar, we will explore a variety of types and formats of environmental data and their applications. Participating students will develop a foundation in scientific computing and data visualization using SciPy, a collection of open-source software packages in Python. We will also consider broader issues when using data in environmental science, including privacy, accessibility, communicating uncertainty, and ethics. Through conference work, students will design and implement an environmental data-analysis project focused on a topic of their choice.

Geospatial data are information associated with locations on the surface of the Earth. These can include a variety of different types of data used in environmental science, such as sample collection locations at a field-study site, the areal extent of a forest biome, or the output generated by global climate models. The analysis of geospatial data also allows social scientists to identify disparities in access to natural resources or exposure to pollutants and hazards and has been critical to the study and practice of environmental justice. This course provides an introduction to foundational concepts in cartography and geostatistics, along with practical experience in geospatial data analysis using open source Geographic Information Systems software (QGIS). Although we will focus primarily on environmental applications, the skills learned in this course can be utilized in many natural and social-science disciplines—and can also help you avoid getting lost!

The Earth’s climate has changed dramatically throughout its approximately 4.5 billion-year history, but the recent warming caused by human emissions of greenhouse gases poses a unique threat to humanity and many natural ecosystems. This course will cover the basic climate and Earth-system science needed to understand human-caused global warming. We will learn about the history of Earth’s climate and the diverse methods that scientists use to understand how it is changing. We will also explore current issues in climate-change science and how they are commonly miscommunicated or misrepresented in popular media. This course will meet as a weekly lecture with a weekly group conference.

The global environmental movement of the past half-century coincided with a technological revolution that has allowed us to collect many types of new data about our planet. From remote data generated by satellites, to data generated by sensors operating under harsh environmental conditions, to crowdsourced observations submitted by the general public, environmental scientists now have access to a wealth of new information that can be used to better understand earth systems and the ways in which human activities impact our environment. In this seminar, we will explore a variety of types and formats of environmental data and their applications. Participating students will develop a foundation in statistics, scientific computing, and data visualization using SciPy, a collection of open-source software packages in Python. We will also consider broader issues in using data in environmental science, including privacy, ethics, and communicating uncertainty. While seminar activities will focus on environmental data related to the New York City metropolitan area, students will have the opportunity to design and implement an environmental data analysis project on a topic of their choice.

Climate change will be the defining issue of the coming decades. Climate change threatens the ecosystems and infrastructure that human society relies upon and will impact most aspects of the global economy, policymaking, and day-to-day life. This FYS course will provide the basic foundation in earth system science needed to understand why the planet is warming, drawing on fundamental concepts of physics, chemistry, and biology. During the spring semester, we’ll build upon this foundation to investigate the linkages between global climate, natural ecosystems, and human society. We will explore topics such as biodiversity, land use, adapting to climate-change impacts, and the energy-systems transition needed to prevent catastrophic global warming. This class will alternate biweekly individual conferences with biweekly small-group workshops on climate data analysis, technical writing, and communicating science.

Geospatial data are information associated with locations on the surface of the Earth. This can include a variety of different types of data used in environmental science, such as sample collection locations at a field study site, the areal extent of a forest biome, or the output generated by global climate models. The analysis of geospatial data also allows social scientists to identify disparities in access to natural resources or exposure to pollutants and hazards and has been critical to the study of environmental justice. This course provides an introduction to foundational concepts in geodesy, cartography, and geostatistics, along with practical experience in geospatial data analysis using open-source geographic information systems (GIS) software. Although we will focus primarily on environmental applications, the skills learned in this course can be utilized in many natural and social-science disciplines—and can also help you avoid getting lost!

Geospatial data are information associated with locations on the surface of the Earth. That can include a variety of different types of data used in environmental science, such as sample collection locations at a field-study site, the areal extent of a forest biome, or the output generated by global climate models. The analysis of geospatial data also allows social scientists to identify disparities in access to natural resources or exposure to pollutants and hazards and has been critical to the study of environmental justice. This course provides an introduction to foundational concepts in cartography and geostatistics, along with practical experience in geospatial data analysis using open-source geographic information systems (GIS) software. Although we will focus primarily on environmental applications, the skills learned in this course can be utilized in many natural and social science disciplines and can also help you avoid getting lost!

Global climate change will be the defining issue of the coming decades, impacting most aspects of the global economy, policymaking, and day-to-day life. This seminar will provide a basic foundation in climate science, drawing on fundamental concepts of physics, chemistry, biology, and earth-systems science. We will also examine the linkages between global climate and human society, considering topics such as greenhouse-gas emissions, land-use change, and climate-change impacts. By the end of this course, students will be able to quantitatively apply the concepts that they have learned; to communicate through speech, in writing, and through graphics about technical issues related to climate change; and to understand the role of science in climate policy and decision making.

Green infrastructure has the potential to transform our cities, replacing asphalt and concrete with soil, vegetation, and waterways. But while cities across the globe are now developing green infrastructure plans to protect water resources, enhance biodiversity, and adapt to the impacts of global climate change, there is an ongoing debate on what green infrastructure actually is. And there are still many remaining barriers to its broad implementation in our cities and suburbs. In this seminar, we will explore green infrastructure through the lens of ecosystem services—the regulating, provisioning, and cultural benefits that natural ecosystems provide for free to humans. Through quantitative case studies and field visits to green infrastructure projects in Yonkers and New York City, we will learn about a variety of different types of green infrastructure, including rain gardens, green roofs, detention basins, and constructed wetlands. We will also learn about the challenges associated with assessing the performance of green infrastructure and will critically evaluate existing green infrastructure plans and designs.

Natural hazards are Earth-system processes that can harm humans and the ecosystems on which we rely. These processes include a wide variety of phenomena, including volcanoes, earthquakes, wildfires, floods, heat waves, and hurricanes. The terms “natural hazard” and “disaster” are often used interchangeably. There have been many examples of natural hazards that have resulted in catastrophic loss of life, socioeconomic disruption, and radical transformation of natural ecosystems; however, through improved understanding of these phenomena, we can develop strategies to better prepare for and respond to natural hazards and mitigate harm. In this course, we will use case studies of natural-hazard events to explore their underlying Earth-system processes, covering topics such as plate tectonics, mass wasting, weather, and climate, along with the social and infrastructure factors that determined their impact on people. We will also explore related topics—such as probability, risk, and environmental justice—and the direct and indirect ways that different types of natural hazards will be exacerbated by global climate change. Students will attend one weekly lecture and one weekly group conference, where we will discuss scientific papers, explore data, and work on a collaborative project to investigate a potential natural-hazard event.

The pollution of our air, water, and soils is responsible for millions of deaths across the globe each year, along with immeasurable harm to natural ecosystems. In this seminar, we will study the chemistry of environmental pollutants that are most salient today—including lead, soot, pesticides, per- and polyfluoroalkyl substances (PFAS), sewage, nutrients, and greenhouse gases—and learn about how their chemistry influences their fate and their transport through the environment and, in turn, their impacts on human health and natural ecosystems. We will also study basic techniques of pollutant monitoring and strategies to remediate different types of pollution and restore healthy ecosystems and communities. Beyond this, we will explore the broader concept of pollution, considering how compounds that can be vital to our survival can also harm our environment, as well as how thresholds for when a compound becomes a “pollutant” are determined. Course work will include both chemistry problem-sets and diverse readings about historic and current pollution issues. Conference work will allow students to develop a case study of a pollution incident or ongoing pollution hazard.

A watershed is an area of land (and the soils that underlie it) that drains to a common outlet. But this simple concept provides a critically important framework for understanding our most important water-management issues, along with many processes in environmental science and ecology. Watersheds can be defined across a range of spatial scales—from a suburban parking lot to the drainage basin of the Amazon River—and their diverse forms and characteristic represent a variety of climates, land uses, and topographies. In this course, we’ll learn how watersheds are delineated and explore the flow of water through watersheds, covering topics such as precipitation, evapotranspiration, infiltration, stream and river networks, and groundwater flow. During the second semester of the course, we’ll build on this foundation to study topics in watershed management, including water infrastructure, urbanization, interbasin transfers, flooding, water quality, and the impacts of global climate change. The course will include a weekly lab session, with indoor data-analysis activities along with field visits to sites in the Hudson River and Bronx River watersheds. No prior experience in earth or environmental science is required; however, students should be prepared to draw on the math skills they learned in high school for the water analyses that we’ll perform in this course.