My name is Pratik Mhatre. I have a Ph.D. in Urban and Regional Science program from Texas A&M University, College Station. I also have a Masters Degree in Public Policy from Georgia Tech, Atlanta and an undergraduate degree in Architecture from PiCA, University of Mumbai, India.
My current research interests are in the field of education and how college access and readiness affect academic outcomes. I hope to study the linkages between educational outcomes on the neighborhoods they are located in to examine subsequent neighborhood or demographic changes, if any. I am deeply interested in the relationship of public policy and the built environment; especially the intersection of public education & health policies and their impact on socio-economic characteristics of the neighborhood/community. Also, my recent research has involved looking at economic and social effects of remediation of contaminated properties. I was involved in the examination of the impact of redevelopment plans and policies on sociodemographic changes in communities and neighborhoods with a special focus on gentrification and brownfields remediation and revitalization as contemporaneous changes from physical changes. I also like studying gentrification and impact of technology and culture on the evolution of urban spaces. I am also interested in local economic development and how public-private partnerships can be leveraged for regional growth with the help of technology, innovation, and nurturing competitive advantages.
Currently, I’m working at the Institute for Public School Initiatives housed within the College of Education at the University of Texas at Austin. I’m primarily responsible for research and data analysis for the Texas GEAR UP State Project and will be coordinating data collection and its subsequent analysis for the four selected GEAR UP school districts in Texas and the Texas Education Agency (TEA).
As part of my professional experiences at The Public Policy Research Institute (PPRI), I was involved in program evaluation, needs assessment, survey methodology, SAS programming, and GIS analysis. I am conducting SAS programming and report-making for surveys pertaining to elementary and secondary school districts totaling nearly 240 in Texas for the Department of Health and Human Services. I was also primarily responsible for sampling and preparing maps for survey purposes using GIS and Census data for Texas-‐Mexico Caetano Border Alcohol and Drug Survey Project. I also conducted data management, analysis and reporting for trends and patterns of 211 calls in Texas for the College of Architecture and Department of Homeland Security. I have analyzed qualitative data for examining the extent and pattern of disproportionate minorities in the juvenile justice system in Texas using SPSS Text Analysis Tools. I have gained extensive knowledge and experience in coding and programming surveys using LimeSurvey, QDS, and Scantron.
I love dabbling in new social media and Internet technology that harnesses citizen journalism and dissemination of scientific knowledge.
I’ve significant expertise in use of GIS mapping and programming tools including spatial modeling techniques for analyzing social and economic change. I am also trained in program evaluation and public policy analysis of planning, health and education programs with the help of analytical tools like SAS, SPSS, R, and HLM.
My specialties include data analysis and statistical research using SAS, SPSS, and R, GIS mapping, modeling, and programming using ArcGIS, spatial statistics using ArcGIS, R and GeoDa. Through this blog, I hope to engage in discussion on trends in urban planning and design. I will also pen down my personal thoughts and opinions.
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If you are interested in collaborating on any research or social media ventures or offering me a professional opportunity, please contact me.
This blog is a collection of interesting links I find on the Internet on urban planning, architecture, and design. I update the blog periodically so feel free to subscribe to my posts via a feed reader or visit often.