Tag: SDG 4: PENDIDIKAN BERMUTU

The second day of the Inference Track at the MIDSEA Summer School 2025, held on June 24, 2025, in the Yudhistira Room at the MICC, The Alana Yogyakarta Hotel and Convention Center, was a success. The session, titled “Implementing MLE,” discussed the challenges of applying Maximum Likelihood Estimation (MLE) to complex statistical models. One issue explored was the uncertainty in parameter estimation, especially when dealing with models that have many variables and parameters. In this session, participants learned how numerical and optimization methods can be used to find parameters that maximize the likelihood function, even though the models used often involve uncertainty and imperfect data. ... 

The second day of the Simulation Track at the MIDSEA Summer School 2025 on June 24, 2025, proceeded smoothly. Held in the Bima Room at the MICC Building, The Alana Yogyakarta Hotel and Convention Center, the session titled “Sojourn Times and Uncertainty” discussed the unrealistic nature of the standard infectious disease model (SIR), which consists of three compartments or phases: the susceptible phase (S), the infected phase (I), and the recovered phase (R). This is due to the fact that the population size in each phase is not an integer, and the deterministic model does not account for the duration of time an individual spends in a particular phase. ... 

Yogyakarta, June 24, 2025 — The Department of Mathematics, Faculty of Mathematics and Natural Sciences, Gadjah Mada University is hosting the MIDSEA Summer School 2025, a collaborative scientific forum bringing together participants from various Southeast Asian countries to explore strategic issues in mathematics and its applications. One of the subtopics discussed in this event is AI for Infectious Disease Modeling (AI4IDM), which focuses on the use of artificial intelligence to understand and anticipate the spread of infectious diseases. ... 

Yogyakarta, June 23, 2025 — The Midsea Summer School 2025 held a breakout session from the Track Inference track. Four speakers with extensive experience in epidemiology and statistics—Akira Endo, Swapnil Mishra, Angkana T. Huang (HAT), and Bimandra Djaafara—shared their knowledge and experience with the participants. ... 

Yogyakarta, June 23, 2025 — How can artificial intelligence help respond to infectious disease outbreaks? This question became the starting point of the AI for Infectious Disease Modeling (AI for IDM) Track session held on the first day of an intensive training series in epidemiology and public health. ... 

Yogyakarta, 23 June 2025 — One of the most anticipated advanced sessions at MIDSEA Summer School 2025 is the Simulations track, led by Prof. Alex Cook, a leading figure in the MIDSEA initiative and a mathematical epidemiology expert from the National University of Singapore (NUS). This track is designed to introduce participants to stochastic simulation modelling, a crucial approach for realistically understanding the spread of infectious diseases. ... 

Yogyakarta, 23 June 2025 — As part of the MIDSEA Summer School 2025, the Modelling 101 track stands out as one of the most fundamental and essential sessions, especially designed for participants who are new to the world of mathematical modelling, particularly in the context of infectious diseases. ...