Space TechArtificial IntelligenceInnovationCommunityResearch
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
online
3
Participants
0
Est. Projects
Hackathon Introduction The Space Innovation ThinkTank in Kenya will be focused on empowering young professionals in Kenya to pursue interdisciplinary aerospace careers in the aerospace sector and displaying the power of space innovation to both advance space exploration and life on Earth. We will provide a space and Earth challenge during the event and participants in teams of 3-5 will develop a pitch on a possible technological innovation that can best solve the prompt. Hackathon Challenge The hackathon will focus on the following question: How can we leverage space technology (such as FinSat's Geostationary Satellite Imagery technology) to increase access to clean water and prevent future flooding that occurs commonly in Kenya? Students will think of a viable solution for this problem using the knowledge from the talks given throughout the day by Nigerian engineers/scientists present at the event. Submission Requirements A 5-minute pitch with a supplement engineering design of innovation.
Judge Accessibility
Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10
Top signals
Organizer email available
Student-run event
Actively looking for judges
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Estimated Audience
Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech
Technical Focus
AI95%
Web80%
Mobile25%
Industries
Healthcare
Education
Climate
Technologies
Python
React
OpenAI
Why this estimate
• Hosted by a university
• Open to students
• MLH member event
Estimate inferred from event metadata, not actual attendee data.