CDC/SIP
Project Period Goal (5-Year)
To conduct mixed methods formative research to further develop the agent-based model of low-income Baltimore food environment, which will then be used to engage and work with policy makers, funders and other key stakeholders in the NOPREN network.
Project Period Outcome
Formative data collection was completed in years 1-4. For year 5, we will collect additional formative data in support of the proposed city staple foods ordinance, and will use these data to refine our algorithms and modify the VPOP Baltimore ABM model and a systems dynamic model.
Annual Objective (12-month Budget Period)
Collect additional formative research on supply and demand factors associated with specific foods and beverages that can be incorporated in the systems dynamic model. Provide BHCK baseline data for inclusion in the VPOP Baltimore model.
Evaluation Question(s)
What is the best way to engage stakeholders, and build a model that can effectively inform programs and policies?
| Activities | Evaluation Indicator | Data Source | Completion Date | Responsible Staff |
| 1.1 Corner store data: We collect quantitative data from corner store owners in Baltimore City to obtain their perceptions of food in relation to perishability, profitability, ease of delivery and demand. This data will allow us to refine the systems dynamic model for the Staple Foods Ordinance. | Quantitative, likert scale survey | Corner store owner survey | July 2018 | Emily Pedersen, Dania Orta-Aleman, Lisa Poirier, Joel Gittelsohn |
| 1.2 Resident food equity advisor data: We will complete additional quantitative data collection and analysis of Baltimore’s resident equity advisors’ perspectives on demand characteristics of each food item. This will contribute to the demand side of the systems dynamic model for the Staple Foods Ordinance | Quantitative survey with resident food equity advisors | Resident food equity advisors survey | August 2018 | Emily Pedersen, Dania Orta-Aleman, Lisa Poirier, Joel Gittelsohn |
If you would like the data collection forms please email Joel Gittelsohn.