We are pleased to announce the workshop on machine learning and data science designed to enhance capacity building and collaboration in Space Science across East Africa. This workshop will provide insights into space weather impacts on communication and navigation systems, hands-on training in ionospheric data analysis using advanced tools, machine learning and data science applications to Space weather and ionospheric research, collaboration opportunities with leading experts in the field, and discussions on the role of space research in Africa’s scientific and technological growth.

Website: https://www.must.ac.ug/event/eastafrican-training-workshop-on-machine-learning-applications-in-space-weather-and-ionospheric-research/

Organizing committee

 

(i) Project coordinator, co-chair: Dr. Patrick Mungufeni, Physics department, Muni
University, Arua, Uganda.

(ii) Local coordinator, co-chair: Dr. Sharon Aol, Physics department, Mbarara
University of Science and Technology, Mbarara, Uganda.

(iii) Member: Ms. Yenca Migoya-Orue, STI unit, ICTP, Trieste, Italy.

(iv) Member (LOC): Dr. Valence Habyarimana, Physics department, Mbarara
University of Science and Technology, Mbarara, Uganda.

(v) Member (LOC): Dr. Geoffrey Andima, Physics department, Busitema
University, Tororo, Uganda.
(vi) Member (LOC): Dr. Phillip Opio, Mountains of the Moon University,
Fortportal, Uganda.

Partners:

Besides Mbarara University of Science  and Technology and Physics Without Frontiers, the project is organized and generously supported also by  Scientific Committee on Solar-Terrestrial Physics’s (SCOSTEP’s) under the Predictability of the variable Solar-Terrestrial coupling (PRESTO) program.