IAPHS Calendar

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Aug 11	Twitter Takeover - Donglan "Stacy" Zhang Join Donglan "Stacy" Zhang @SH_LA_AT for an IAPHS Twitter Takeover!
Oct 11	DAGS This workshop will introduce participants to directed acyclic graphs (DAGs). We will review the basic principles and show how they can be used to determine appropriate sets of variables for estimating total causal effects of exposure (treatment). Participants will work through concrete examples of increasing complexity. We will also introduce how DAGs can be used in more advanced applications, including natural and controlled direct and indirect effects and study design.
Oct 12	Spatial Techniques for Population Health & Health Equity Research The proposed workshop will provide an orientation to spatial data and methods, and introductory training in working with spatial data and select existing and emerging spatial methodologies, including geographic information systems (GIS), global positioning systems (GPS) and location aware technologies, neighborhood-centered latent class approaches to spatial analysis, and spatial regression methods. This closely aligns with the 2022 conference theme, “Interdisciplinary Approaches for Advancing Population Health Equity”.
Oct 20	Securing Funding For Applied Research
Oct 27	Methods to examine and advance health equity research The workshop is designed to engage attendees in different methods that can be used in health equity research and practice. The pre-conference training will focus explicitly on research methods that can grapple with understanding how the social and structural determinants shape health and wellbeing
Nov 10	Clear communication of race and ethnicity for public health: Best practices & common failings This workshop will help participants of all training levels (pre-, postdoctoral, faculty, clinicians, researchers) develop skills to thoughtfully communicate the use of race and ethnicity in their work.
Nov 11	An introduction to Difference-in-Differences and Synthetic Control Methods for Population Health Scientists In this workshop, we propose an overview of different quasi-experimental methods covering the historical context, the identification assumptions under the potential outcomes framework, and the different steps to implement such methods using various case studies. This workshop will introduce the theory and practice on the what, why, and how to implement Difference-in-Difference and Synthetic Control Methods in R/Rstudio. Attendees will work individually on hands-on programming exercises.