ABOUT THE MILLENNIUM FELLOWSHIP - CLASS OF 2020
United Nations Academic Impact and MCN are proud to partner on the Millennium Fellowship. In the three months the application was open in 2020, 15,159 young leaders applied to join the Class of 2020 on 1,458 campuses across 135 nations. 80 campuses worldwide (just 6%) were selected to host the 1,000+ Millennium Fellows. The Class of 2020 is bold, innovative, and inclusive.
UNITED NATIONS ACADEMIC IMPACT AND MCN PROUDLY PRESENT IAN MOSES NJARI, A MILLENNIUM FELLOW FOR THE CLASS OF 2020.
Kenyatta University | Nairobi, Kenya | Advancing SDG 11 & UNAI 9
" I am thrilled to be part of the Millennium Fellowship team from my campus because this is a wonderful opportunity for me to be a part of a team of like minded individuals of my age. I am convinced that this platform will enable me champion for inclusive urban planning in Africa. I believe that change will begin with the inclusivity of the transport sector in Nairobi. "
Millennium Fellowship Project: Usafiri Initiative
Usafiri Initiative is a project which aims to campaign for efficient mass public and non-motorized transport in Nairobi.
Ian commute from one side of the city to the other in Nairobi, which entails using public transport, mostly. Traffic congestion is often a challenge most Nairobi dwellers have to contend with daily and to add to that, city streets that are relatively not walkable. This is further made worse by congested streets with very high noise and air pollution levels. It is this challenge which has led Ian to be very concerned about the state of public transit in the city as well as lack of pedestrian and cycling tracks.
This personal experience has led him believing that he should be part of the agitation for an overhaul of the entire public transport sector.
About the Millennium Fellow
Ian is a student of Computer science at Kenyatta University. He is compassionate as well as socially conscious which makes him a great team player. He likes to learn about social-economic issues and think of effective ways of solving them.
He also uses his technology knowledge to learn more about machine learning which he intends to pursue as a career.