Atlanta Neighborhood Change Report (1980-2000)

How To Use This Report - This web site is designed to provide information about the City of Atlanta’s 24 Neighborhood Planning Units (NPU’s) and 139 neighborhoods that is useful for city planners, community leaders, social workers and other professionals that have need for a careful demographic analysis. Please see the methodology section for a thorough description of neighborhood and NPU boundaries. The report is composed primarily of tables, charts and graphs, as well as selected pictures of the communities, showing common trends, and Geographic Information System (GIS) maps to give the user an orientation to their neighborhood of interest. No written analyses or interpretations of the results are reported here. We leave such work up to the users of the report. The report is divided into three geographic levels: city, Neighborhood Planning Unit (NPU), and neighborhood. Based on the 1980 and 1990 Census User Defined Areas (UDAP) and 2000 Census of Population and Housing, different tables, charts and graphs were made for each geographic level. It is important to note that not all variables are reported for each level. We welcome suggestions for adding variables to this site since we view it as a report in progress, and we plan periodic updates. The architecture of the site presents information under the following hierarchy: City of Atlanta, NPU, and neighborhood. It is possible, however, to move from one level to the other without going through an intermediate level. The information presented in this electronic report has been developed by students and staff at the Georgia Institute of Technology under the direction of Professor David Sawicki. It is the product of a partnership between the staff at GT’s Data And Policy Analysis group and students in the City and Regional Planning Program. Please feel free to use this information in your work, but citing “GT City Planning/DAPA” as your data source.David Sawick

Toward in silico CMC: An industrial collaborative approach to model‐based process development

The Third Modeling Workshop focusing on bioprocess modeling was held in Kenilworth, NJ in May 2019. A summary of these Workshop proceedings is captured in this manuscript. Modeling is an active area of research within the biotechnology community, and there is a critical need to assess the current state and opportunities for continued investment to realize the full potential of models, including resource and time savings. Beyond individual presentations and topics of novel interest, a substantial portion of the Workshop was devoted toward group discussions of current states and future directions in modeling fields. All scales of modeling, from biophysical models at the molecular level and up through large scale facility and plant modeling, were considered in these discussions and are summarized in the manuscript. Model life cycle management from model development to implementation and sustainment are also considered for different stages of clinical development and commercial production. The manuscript provides a comprehensive overview of bioprocess modeling while suggesting an ideal future state with standardized approaches aligned across the industry

Toward in silico CMC: An industrial collaborative approach to model‐based process development

The Third Modeling Workshop focusing on bioprocess modeling was held in Kenilworth, NJ in May 2019. A summary of these Workshop proceedings is captured in this manuscript. Modeling is an active area of research within the biotechnology community, and there is a critical need to assess the current state and opportunities for continued investment to realize the full potential of models, including resource and time savings. Beyond individual presentations and topics of novel interest, a substantial portion of the Workshop was devoted toward group discussions of current states and future directions in modeling fields. All scales of modeling, from biophysical models at the molecular level and up through large scale facility and plant modeling, were considered in these discussions and are summarized in the manuscript. Model life cycle management from model development to implementation and sustainment are also considered for different stages of clinical development and commercial production. The manuscript provides a comprehensive overview of bioprocess modeling while suggesting an ideal future state with standardized approaches aligned across the industry