Talent Training Programme

Kisumu Talent Training Programme

The KijaniSpace Kisumu Talent Training Programme is a three-month remote learning journey for motivated students, early-career professionals, and innovators who want to work at the intersection of space technology, digital systems, and sustainable agriculture. The programme is implemented within the Horizon Europe KijaniSpace framework.

Running from 21 May 2026 to 6 August 2026, the programme is delivered primarily online. The only on-site component is a focused Hackathon in July 2026, hosted at LakeHub in Kisumu, Kenya, where participants collaborate in an intensive innovation sprint with experts and stakeholders from the Lake Victoria region and Europe.

The programme is free of charge and delivered within the Horizon Europe KijaniSpace framework to strengthen capacity and practical innovation skills in space-enabled digital agriculture.

During the on-site Hackathon at LakeHub, catering will be provided. Participants are expected to arrange and cover their own travel and accommodation costs.

The programme emphasizes practical application. Participants learn how to transform Earth Observation data, Internet of Things (IoT) sensor inputs, and local knowledge into operational decision-support solutions for farms and aquaculture systems. The emphasis is on applying satellite and sensor data in real pilot contexts.

Workload and Structure

Participants are expected to commit approximately 3-6 hours per week for online sessions, team collaboration, and practical assignments. The programme combines mentoring, applied exercises, teamwork, and structured online workshops.

During the programme, participants will:

  • Work with Copernicus satellite data and in-situ IoT sensors
  • Integrate geospatial and field-level datasets
  • Develop irrigation and aquaculture decision-support concepts
  • Apply AI-assisted analytics in agricultural contexts
  • Collaborate in international, interdisciplinary teams

Participants engage with farmers, researchers, and technology providers across Europe and Africa, gaining insight into real-world constraints, data governance, and responsible innovation.

Expected Output

By the end of the programme, each participant will deliver:

  • A prototype, analytical model, algorithm, or decision-support concept
  • A short implementation brief or concept note describing practical applicability
  • A presentation of results during the final programme session

Solutions must demonstrate operational feasibility and relevance to real agricultural use cases.

Completion of the Programme

Participants who successfully complete the programme will receive a Certificate of Successful Completion issued within the KijaniSpace framework.

To qualify, participants must:

  • Attend at least 80% of the online sessions, and
  • Present a prototype, analytical model, algorithm, or decision-support concept developed during the programme, including work advanced during the Hackathon.

Prequalification Criteria

Applicants should:

  • Have a background in agriculture, environmental sciences, geoinformatics, ICT, engineering, data science, or related fields
  • Possess basic digital and data-handling skills
  • Be motivated to work in interdisciplinary and international teams
  • Commit to active participation throughout the full three-month programme, including the Hackathon.

Prior experience with GIS, coding, satellite data, or IoT is an advantage but not mandatory. Curiosity, analytical thinking, and reliability are essential.

As participation is free, selection will be competitive and based on motivation, relevance of background, and commitment.

Approximately 60 participants will be selected. The final cohort will ensure a balanced mix of technical and agricultural expertise to support interdisciplinary teamwork.

The Talent Training Programme

A series of training sessions is how the Talent Training Programme is delivered, and these are held on Thursdays, starting at 2 pm EAT.

Unit 1 GIS & Earth Observation: Ever wondered how satellites see the world or how digital maps are actually made? Over five weeks (starting May 22), we’ll take you from the basics of spatial data to the cutting edge of satellite monitoring. You’ll learn to visualize geographic data and analyze the Earth from above. 

Unit 2 Internet of Things (IoT): If you’ve ever wanted to build your own “smart” gadgets, this is your moment. Starting June 26, this four-week unit dives into the Internet of Things. You’ll get hands-on with electronics, learning how to wire sensors, master Arduino programming, and set up radio communications. It’s the chance to move from being a tech user to being a tech creator.

Unit 3 App Development and Use-cases: This is where all the pieces of the puzzle come together. Starting July 24, this three-week finale focuses on turning data into real-world solutions. You’ll explore how to combine Earth Observation and IoT data to build functional apps, specifically looking at how they can revolutionize precision farming.

Contact and Further Information

Implemented within the KijaniSpace Horizon Europe and EU Agency for the Space Programme (EUSPA) project. For detailed information about the KijaniSpace initiative, visit: www.kijanispace.eu

For questions regarding the Talent Training Programme, application process, or participation requirements, please contact

Margaret Sandra

LakeHub, Kisumu, Kenya  

margaret.sandra@lakehub.co.ke

Key Dates

Application deadline: 31 March 2026 at 16.00 East African Time


Selection & acceptance notification: 30 April 2026

Programme start: 21 May 2026

On-site Hackathon in LakeHub, Kisumu, Kenya: July 2026

Programme end: 6 August 2026

How to Apply

Applications are submitted via Google Forms:

https://forms.gle/aAXFAkwNycKZxb6y8https://docs.google.com/forms/d/1uOhmhaOnakbjYnphuf2E_zW3LdF2Zau3DAtxYiukHjU/edit

 


Applicants can look at the application questions in advance from this PDF.

FAQs

Who can apply?

Motivated students, early-career professionals, and innovators interested in space tech, digital systems, and sustainable agriculture.

What backgrounds are relevant?

Agriculture, environmental sciences, geoinformatics, ICT, engineering, data science, or related fields.

Is prior experience with GIS/coding/satellite data required?

Not required, but it’s an advantage. Curiosity, analytical thinking, and reliability matter.

Is there a fee?

No. The programme is free of charge.

What is the format and workload?

Online-first. Expect ~3–6 hours per week for sessions, teamwork, and assignments.

Is there an in-person component?

Yes. A focused Hackathon in July 2026 at LakeHub in Kisumu.

Do participants receive travel/accommodation support?

Participants arrange and cover travel and accommodation. Catering is provided during the on-site Hackathon.

What will I produce by the end?

A prototype/ model/ algorithm/ decision-support concept + short concept note + final presentation.

Will I get a certificate?

Yes, if you attend at least 80% of sessions and present your project.

How many participants are selected and how?

~50 participants; selection is competitive based on motivation, background relevance, and commitment. Cohort aims for a balanced mix of technical and agricultural expertise.

How do I apply?
Who can I contact for questions?

Margaret Sandra, LakeHub (please check later time for the update).

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