State and local analysts do not have the resources to conduct strategic multi-dimensional analyses of the people and conditions in their communities. This results in poor resource allocation decisions, less effective outcomes, and poor transparency and communication with stakeholders and the public.
ApriqotTM is a demographic and geographic platform upon which local data can be grafted, community-level analysis can be performed, and future-looking models can be constructed for numerous use cases.
Ken Shapiro, Co-founder / CEO
Kevin Konty, Co-founder / CTO
(Data Scientist, Demographer)
Ken is a skilled leader with deep experience managing and navigating health and human services systems as well as managing internal and external communications for those same systems. He has expertise at all levels of government, including extensive work with health and human services agencies, health care systems, and local health agencies. He has led the development of a Medicaid innovation/ population health management program (Whole Person Care). He has also overseen teams tasked with compliance, HR and labor relations, privacy, finance, legal, and communications. Ken leads all business processes, product management, and client relations.
Kevin has spent years developing methods to improve population estimation and public health surveillance. At the New York City Department of Health and Mental Hygiene, Kevin has led technical teams working on a broad portfolio of public health problems involving epidemiology, statistics, demography, survey methodology, informatics, and geography. Over the past two decades Kevin has served as Senior Scientific Advisor, Director of Methodology in the Epidemiology Division, and Director of Data Science and Research for Family and Child health. His responsibilities have included developing the current system for the city’s neighborhood-level population estimates, directing the GIS center, acting as technical privacy officer, leading in-house technical consulting efforts, and serving in multiple data governance roles. He is currently leading efforts to integrate health and education data from multiple agencies. Kevin is leading the development of Apriqot’s core products.
There are many different reasons why we’re called Apriqot.
First, we like apricots!
But we also named our company Apriqot because apricots kept coming up while we were developing the idea. For example, Apriqot establishes and maintains many copies of the places we are characterizing, kind of like an ORCHARD. And within each characterization (a TREE) there are many individuals (like the APRICOTS). We also call the process of bringing in users’ local data and merging it with our data GRAFTING, and some of the methods we use to produce estimates use something called a KERNEL.
Also, we like that apricot is a color, which makes some decisions a lot easier (e.g., what color should our logo be?)
And apricots have a nice blush to them which makes them look a little like people.
But the real reason we are called Apriqot is a bit more convoluted. In public health, one typically uses “p” for the probability of having some condition or disease. If you are talking about a lot of people in community, then pit would be the probability of the ith person have the disease at time t. And if you wanted to talk about the average probability, you might use pot , pronounced “p naught t,” as the average probability of having the disease at time t. So the chance of not having a condition is 1-p, but that is also called q. So qot is the average probability of not having the condition or disease in the community– the probability of being well. That is the “-qot,”
And we added that to one of the most boring names that we thought of and didn’t use as our company name: “Applied Population Research Inc.” 🥱
And that is why we’re called Apriqot. Now if we could just figure out how it’s pronounced - ape-ricot or ah-pricot… Let us know what you think.