Artificial intelligence is becoming an important tool in infectious disease research, but research attention does not always match the needs of the regions hardest hit. A study by researchers from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS), in collaboration with the Chinese Center for Disease Control and Prevention, has found a persistent mismatch between the geographic distribution of the research attention and the burden of infectious diseases. Published in npj Digital Medicine​, the study traces how the field has evolved over three decades.

A 10 m resolution maize yield dataset covering Northeast China from 2019 to 2024 has recently been released, providing detailed information on maize yield at the field scale. The dataset was developed by a research team led by Prof. LI Qiangzi and associate researcher DU Xin from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) and is described in a recent study published in Earth System Science Data and the dataset is openly available through Zenodo.

Scientists have used a tethered balloon to measure cloud droplets, aerosols, and electric fields over the Qinghai-Xizang Plateau, revealing links between aerosol abundance and droplet properties and documenting weak electrical activity in clouds without lightning. The study was published in Advances in Atmospheric Sciences​ .