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At a Glace: Education/Workforce Development | Summer Programs/Tutorials | APPEX Fellows | Certificate in Pandemic Science | Partnerships

We aim to train the next generation of researchers and practitioners in pandemic science through tutorials, summer programs, a certificate program, and other professional development. We also build on our existing partnerships with a variety of organizations, creating new opportunities, like our APPEX Fellows program. Furthermore, we have several public outreach activities planned, including a science-comedy podcast, YouTube webinars, and K-12 educational resources designed in collaboration with Easy as Play.

Education / Workforce Development

Tutorials/Summer Programs

APPEX Fellows

Certificate in Pandemic Science

Tutorials/Summer Programs

We will offer tutorials (1-3 day programs) and summer programs (1-2 week programs) to teach specific skills, such as using software or technical methods. These programs will primarily target graduate students and postdoctoral researchers, though undergraduates and faculty are also welcome. Recordings of these tutorials will be made freely available online.

CausalBench Tutorial: Streamlining Causal Learning Research

Join us Monday, August 4, 8-11:00am for the 2025 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining for "CausalBench: Streamlining Causal Learning Research", the second-ever NSF APPEX Tutorial!

Recent advances in causal machine learning have introduced a wide array of models for causal discovery and inference, but performance often varies across datasets, metrics, and computing environments. This makes it difficult to identify the right setup for your specific problem. CausalBench is an open-source benchmarking framework designed to address this challenge. It offers a platform to evaluate causal models across key tasks and deployment context, helping researchers make informed, reproducible comparisons. 

This tutorial is intended to familiarize attendees from diverse backgrounds, who are interested in causal learning models and with the capabilities of CausalBench.

In this 3-hour tutorial, you will: 

  • Learn the foundations of causality and causal machine learning
  • Explore the state-of-the-art in causal discovery and inference 
  • Get hands-on with CausalBench using Google Colab 
  • Design, execute, and interpret benchmarking experiments 

While no prior experience with causal inference required, experience with machine learning as well as Python language are desired.

We’re excited to continue the NSF APPEX Tutorial series with this tutorial.

 

Info and dates: https://tutorial.causalbench.org

Host conference: https://kdd2025.kdd.org/tutorials/

*A virtual tutorial will be made available at a later TBD date*

 

APPEX Tutorial June 2025

*Closed for Summer ’25*

What makes a useful model? A conversation in design choices for mathematical and statistical models in the life and social sciences
 
Many tutorials exist to discuss how to analyze existing models, but in this tutorial we will start from scratch and discuss how to decide what factors should be included in building a new model of any target system. We'll discuss practical constraints on analysis and data availability, but also dive into decision-support, accessibility, and translational impact. The conversation will use very simple example models as a basis for discussion. This tutorial is appropriate for everyone from advanced undergraduates to advanced professional researchers, from those who sometimes read results based on models in the literature and want to make informed evaluative interpretations of them to those who are building models daily in their own research.
 
Participation is limited to the first 50 registrants (if there is additional demand, we will run the Tutorial again).

Graduate Certificate in Pandemic Science to Launch Fall 2025

We are launching a Graduate Certificate in Pandemic Science, offered through UT's One Health and Comparative and Experimental Medicine (CEM) programs, in the Fall of 2025. This certificate will be available to students across the UT system and remotely, allowing nationwide enrollment.

 


Connect with us 
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contact@appex.org
This material is based upon work supported by the National Science Foundation under Award No. 2412115. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation