The concept of sustainable urban development provides a set of principles that can guide development and redevelopment of the built environment so that the needs of the present generation can be met without compromising the ability of future generations to meet their own needs.
Sustainability initiatives, from green development to alternative energy projects, aim to fulfill the needs of the present without sacrificing the well-being of the future. In collaboration with Serve-Learn-Sustain, this class investigates the history and meaning of the of the future through popular media, early modern literature, and sustainable development inititives in Atlanta in order to better understand what lies ahead.
Biomass is the only renewable source of organic carbon. Many efforts have been made in recent year to develop economically viable processes for converting biomass into novel products like fuels, chemicals, and materials. Examples of products include ethanol and alkanes as biofuels, bulk chemicals like ethylene glycol and phenol, and composite materials containing biomass-derived fibers. However, the complexity of the feedstock and required process conditions have presented significant challenges for many applications.
This course explores literary and cultural representations of bodily and industrial waste alongside wasting diseases to explore how the nineteenth century produced ideas about waste that continue to influence contemporary work in the fields of epidemiology, civil engineering, public health, environmental science, and medicine.
The rapid change in climates across the globe requires us to determine which human and ecological systems will be most affected and how to alleviate climate vulnerability, which is captured by the concept climate resilience. While past studies have largely focused on climate resilience through the lens of either ecological or social systems, there is great potential in quantifying and optimizing climate resilience through the study of integrated social-ecological systems. Social, agricultural, and ecological systems are spatially and functionally integrated.
In this course, we partner with Central Atlanta Progress, who recently completed the Downtown Atlanta Master Plan (https://www.atlantadowntown.com/initiatives/master-plan), focusing specifically on the goals outlined in chapter 5 regarding restoration of the urban forest downtown and enhancing green infrastructure. Students will break into disciplinary teams to accomplish two goals: 1. Compile or create evidence to support the planning goals and their outcomes outlined in chapter 5, and 2. Identify opportunities and implementation strategies to enhance green infrastructure downtown.
In Urban Economics, Atlanta is an interesting city. It is one of the most segregated cities ethnically and economically. It is one of the most sprawled cities in the US. The unique features affect your life. Atlanta shows very low inter-generational income mobility. Drivers spend so much time stuck in traffic. We study urban economic theory to explain how the city characteristics affect your life.
The School of Public Policy is offering a new cross-listed course with the School of Economics in Big Data and Public Policy. This course will provide an introduction to data science tools and methodologies for social science applications. Students will learn to conduct experiments and to identify causal mechanisms in large-scale social and administrative data. The course is targeted for Ph.D. or advanced M.S. students in Public Policy; M.S. students in Economics, and M.S. students in Cybersecurity
The purpose of this course is to introduce students to the field of urban sociology by exploring the history and current conditions of cities. This course will be geared toward viewing the city as a simultaneously social, cultural, and political economic phenomenon, with particular attention to the following: a) urbanization and the structure of cities; b) suburbanization; c) sustainable urban growth and economics; d) race and segregation; e) immigration; g) culture; h) gender and sexuality; i) gentrification and housing policy; j) environmental justice; and k) sustainable communities.
Data Science for Public Policy introduces big data for social science and public policy applications. Students learn foundations of data science and learn to
conduct field experiments with an aim to solve social, environmental problems in major policy areas.