What

Two-day event featuring presentations covering the capabilities of DART to contribute to research projects, general knowledge about the data sources available at Sheps to assist in answer research questions, and techniques used by DART to collaborate on study design, methods, and analysis. Intended for individuals in the public health, healthcare, and social science research community seeking to grow their professional knowledge, skillset, and network.

Where

UNC research organization dedicated using data to improve the health of individuals, families, and populations by understanding the problems, issues, and alternatives in the design and delivery of health care services.

Attendance options:

• In-person (at Sheps) – light refreshments & parking will be provided
  • 725 M.L.K. Jr Blvd, Chapel Hill, NC 27516
• Virtual (via Zoom)

When

• Introduction to DART
• Deep Dive on Data Sources
• Claims 101
• Basics in Grant Writing, Study Design, and Analysis Planning

October 2, 2024 – Applied Data Science in Health Services Research

• Parsing the Patient: NLP Applications for Clinical Documentation
• Geospatial Health Data
• Transforming Claims Data
• Bias in AI
• Current DART Projects

Who

DART is a collection of experienced Data Scientists, Statisticians, Data Engineers, and Data Governance Specialists dedicated to using data and analytics to support impactful research supporting the Sheps Center’s mission. More about DART here.

Registration: Click here to register for the event in-person and/or virtual

Full Agenda: Click here for the schedule & more information! (key talks highlighted below)

Highlighted Presentations

Presenters:

• Erica Richman, PhD | Associate Director of Research Engagement for DART
• Shweta Pathak, PhD | Health Services Researcher

• Understand strategies to use in grant writing
• Be informed on overall methods of study design
• Be educated on drafting an analysis plan to lead discussions during project kick-off and implementation

Intended Audience:

• Early career research looking to better understand tools and methods for health services research
• Graduate students looking to gain information about applied tools and methods

Presenter: Ashley Avis, MS | Lead Data Scientist – Artificial Intelligence and Machine Learning

• Understand how bias is proliferated through AI
• Be informed how we can structure projects and teams to identify and correct bias
• Gain access to resources and tools for identifying and correcting bias

Intended Audience:

• Researchers interested in projects to build AI that could be introduced in a clinical or other public setting
• Data scientists and other practitioners who want to learn how to identify and correct bias

Presenters:

• Jessica Archibald, MS | Lead Data Scientist – Statistics & Policy Evaluation
• Shweta Pathak, PhD | Health Services Researcher

• Understand basic structure of claims data
• Understand capabilities of claims data for research purposes
• Learn limitations of claims data for public health research

Intended Audience:

• Members of research community (faculty, staff, graduate students) that have research questions well-suited for claims-based secondary data
• Individuals interested in gaining knowledge of claims data