As a follow up to our 2019 Competitive City Report:The Flow of Community Investment, the GLP is holding a series of open community discussions on each of the sector areas in our report. We encourage those interested to join us online to learn what’s behind the data and how to leverage the data moving forward. We also look forward to hearing from you.
PRIVATE SECTOR CONVERSATION – October 23, 2020
Learn what’s behind the data about the private sector in our 2019 Competitive City Report:The Flow of Community Investment and participate in an in depth discussion about how the private sector can invest in Louisville more equitably and effectively.
The following topic experts will provide context and be available to answer questions:
This event took place on Oct. 23, 2020. Watch a recording of the conversation below:
DIGITAL DIVIDE CONVERSATION – October 6, 2020
Louisville is facing a digital divide. Community members in lower income brackets have less access to internet, tech devices, and skills to use than their their wealthier counterparts. This has implications for their ability to access distance education, apply for jobs, and utilize telemedicine.
Recent data posted on the Greater Louisville Project website shows that our community as a whole is also behind our peer cities as well. This divide will limit the growth and success of our community as a whole and have a dramatically negative affect on those left behind.
Greater Louisville Project’s Quarterly Civic Data Meet & Greets are a great way for data aficionados to hear about the data collection and analysis efforts underway throughout our community with the intention of finding ways to collaborate.
In addition to bringing you speakers and programming related to the latest data efforts for our community, every meeting we invite all attendees to introduce themself and answer the following two questions:
Upcoming Civic Data Meet and Greets will be held virtually via Zoom Conference from 11:45 a.m. to 1:15 p.m. click on the date below to RSVP for that event.
NOVEMBER MEETING SPEAKERS
Dr. Jonathan Schwabish specializes in communicating information through data visualization and presentation design. He is a senior fellow at the Urban Institute‘s Income and Benefits Policy Center, and he also runs the PolicyViz blog and podcast. He recently published an article called Applying Racial Equity Awareness in Data Visualization that outlines several ways for data users to make visuals with equity, inclusivity, and accessibility in mind.
Kris Stevens is the Strategic Data Fellow for the Center for Education Policy Research at Harvard University and a Data Scientist for the Kentucky Center for Statistics (KYSTATS). He will be sharing current data that is available or coming available at the state level as well as how you can access and leverage it.
January 2021 (TBD)
For each indicator, Greater Louisville Project assigns cities into one of three groups (high-performing, middle-of-the-pack, and low-performing) based on how they compare to other cities. The assignment is based on how cities naturally cluster on that indicator. Sometimes, the differences between cities are very small, and the difference between a city ranked 5th and 6th could simply be a matter of the sampling error that arises from using survey data. Thus, rather than always make a division that declares the top 5 to be the top tier, we use a natural breaks algorithm to look for a cluster of cities that is outperforming the rest, a cluster that is about average, and a cluster that is lagging. This clustering gives us a better indication of where Louisville is thriving and where Louisville has room to learn from cities that are doing better.
Z-scores (or standardization) is a way to combine data with different units of measurement into a single index. The z-score is a measure of how far away a city (or census tract, etc.) is from the average city. In order to be comparable across different units of measurement, the z-score is the distance from the mean measured in standard deviations (e.g. if Louisville has a z-score of 1 it means Louisville is 1 standard deviation above the mean of its peer cities).
Data from the Robert Wood Johnson Foundation's County Health Rankings use z-scores and all z-scores are relative to the mean of Louisville's peer cities. (On the County Health Rankings site z-scores are relative to all the counties in each state - thus z-scores reported by GLP will be different, because we are using a different reference group). The Greater Louisville Project also uses z-scores in our multidimensional poverty index, which compares each census tract to the mean of all census tracts in Louisville.