By Tim Bailey, Data Analysis & Visualization Intern
You may be aware that the U.S. has a disproportionately large uninsured population when compared to countries with similar developed economies. While many of these countries have long had nationalized health care services, the U.S. has a deeply ingrained privatized free market system. How to best deal with this gap is certainly a political matter up for debate, but it may be helpful to take a step back and look at health insurance coverage data spatially. The goal of these visualizations is to show what the uninsured population looks like in Indianapolis and to evoke curiosity about what this means and what can be done to change it.
The top map shows the rate of residents without health insurance. Each year shows the average from the 5-year period before (e.g. 2012 would be 2006-2011). The scatterplot shows the relation between median household income, and the rate of residents without health insurance. Color on the scatterplot represents the rate of unemployment.
All of these measures are related. Areas with low incomes and high unemployment have higher rates of people without health insurance. Notice the neighborhood areas with the highest percentage of uninsured people was lower in the 2013 report compared to the 2012 report.
Interested in digging deeper? Visit indyvitals.org to explore trends in uninsured populations, median household incomes, and unemployment rates in Indianapolis neighborhood areas for different demographic groups.
The Polis Center at IUPUI (Polis) is a unit of the IUPUI School of Liberal Arts dedicated to using collaboration, interdisciplinary research, and knowledge of spatial technologies to provide reliable information, thoughtful perspective, and creative solutions for the improvement of communities in Indiana and beyond.
Polis seeks an experienced candidate to fill the position of Senior Research Analyst. The Senior Research Analyst will help to design a broad range of applied community-based research projects. This position also will interact with community groups to provide information and to build community capacity to make positive change. Internally, this position will have a lead role in planning and executing higher-level analyses and will mentor other analyst staff.
This position is responsible for assisting in the design and implementation of applied research projects and must be experienced at collecting, evaluating, managing, and analyzing spatial and non-spatial data in both quantitative and qualitative formats; preparing statistical analyses; creating data visualizations; and developing reports containing descriptive, analytical, and evaluative content for both public and academic audiences. This position is accountable for managing internal resources and working with external data providers and vendors as required to meet research and project objectives within a fast-paced, multi-project environment.
This position will work with other staff analysts to insure they have the specific skills necessary to complete a project and will mentor graduate interns.
- Minimum of master’s degree in a social science (e.g., geography, sociology, demography, etc.), spatial science, urban planning, or other fields related to the center’s work. PhD preferred.
- Strong quantitative data analysis skills required; qualitative analysis skill highly desirable.
- Demonstrated experience in applied community research or evaluation projects.
- Experience in program- and community-level outcome measurement, program evaluation, intervention effectiveness studies, community needs and assets assessments, and/or management, analysis, and visualization of large administrative and survey datasets.
- Knowledge of appropriate statistical and data visualization software. Knowledge of SQL is a plus, as is knowledge of GIS.
- Effective oral and written communication of research findings.
- Able to work independently and collaboratively as part of a project team.
This position is available immediately and will remain open until it is filled. Candidates should send letter of application, a complete curriculum vitae, samples of work that demonstrate required skills, and names and contact information of three references who have good knowledge of the candidate’s abilities and experiences to Melissa Gona at firstname.lastname@example.org. For information on The Polis Center, see http://polis.iupui.edu.
IUPUI is an Affirmative Action/Equal Opportunity Institution M/F/D committed to a campus climate that encourages diversity as a means of achieving excellence. Applications from members of under-represented groups including women, minorities, and persons with disabilities are welcome.
By Sharon Kandris, SAVI Director
Great story telling can mean the difference between getting that grant or not. It is an easy way to communicate with stakeholders to justify the need for a grant, demonstrate program impact, or share research findings. The way you visualize and describe your data are an important part of telling your story.