Archives: Symposia

The 2025 IDM Annual symposium will be a special year: instead of a stand-alone event, IDM will host a featured track at Grand Challenges! Stay tuned for more information. You may learn more about Grand Challenges here.

The 2024 IDM Annual Symposium was held October 1 and 2, 2024 in Seattle at the Bill & Melinda Gates Foundation Conference Center. The symposium was a hybrid event, supporting both in-person and virtual attendance. The theme this year was Global public health in a chaotic world: The role of modeling & data science. Available presentations…

The 2016 IDM Annual Symposium covered the modeling tool EMOD, malaria genetics and elimination, several vector-borne diseases, enteric diseases, and HIV.

The 2018 IDM Annual Symposium covered a wide range of topics. Multiple talks focused on small area estimation in public health and demography. Other talks discussed access, treatment, and all-cause mortality in child health. Pandemic preparedness, pandemics and big data, and seasonality of pandemic influenza talks were also given.

The 2019 IDM Annual Symposium covered malaria, tuberculosis, health seeking behavior, trends in maternal, newborn, and child health (MNCH), health economics, social and behavioral analysis, policy, social science, disease burden, and mortality reduction with Azithromycin were discussed.

The 2022 IDM Annual Symposium talks and discussions ranged from environmental and genomic surveillance, nutrition, under immunization and vaccine coverage, data collection and analysis, to the new StarSim modeling platform.

The 2023 IDM Annual Symposium was held May 22-24, 2023 in Seattle at the Bill & Melinda Gates Foundation Conference Center. This was our first three-day Symposium since the COVID-19 pandemic. The theme was Frontiers in Modeling & Data Science for Global Health and it shaped up to be an exciting three days! We had…

The 2017 IDM Annual Symposium included talks on model calibration, pneumonia, diarrhea and respiratory infections, measles, and malaria – including the potential of genomic epidemiology, surveillance, and ecology.