Name
Adopting Equitable Data Practices in Public Health Analysis and Surveillance
Session Type
Breakout Session
Room Name
Cadilac
Date & Time
Tuesday, October 15, 2024, 4:30 PM - 5:00 PM
Time
4:30 PM - 5:00 PM
Description
Data is power. It drives decisions, influences funding, and can change lives…for better or worse. Implicit biases influence the decisions we make, including data decisions. Biases infiltrate data, potentially skewing or discrediting findings. If we do not address power dynamics in the creation of research, at best, we are driving decision-making from partial truths. At worst, we are generating inaccurate information that ultimately does more harm than good. Data equity frameworks provide us with tools to help identify and assess biases at each phase of the research process. We adopted a data equity framework and adapted it to suit our work as a Regional Health Improvement Collaborative. We discuss transparency, inclusion, partnerships, and intentional engagement as essential elements to advancing data equity.
Session Objectives
1. Describe how biases can skew or discredit data findings and how our individual perceptions can impact a project from its design to dissemination.
2. Identify components of a data equity framework by answering the following questions: why are we doing this work, what will its impact be, who will be involved and when, how will we communicate our findings?
3. Describe effective strategies for implementing data equity principles.
Speaker Name
Holly Sienkiewicz
Speaker Credentials
DrPH
Speaker Title
Director of Research
Speaker Organization
Common Ground Health
Speaker 2 Name
Kathi Lynch
Speaker 2 Credentials
M.S.
Speaker 2 Title
Senior Health Planning Research Analyst
Speaker 2 Organization
Common Ground Health