KEMRI Graduate School

Data Management
2025-10-27 08:00 - 2025-10-31 17:00 (Europe/Moscow) | KEMRI Graduate School, P.O Box 54840-00200, Nairobi, Nairobi, 00200, Kenya
This course provides an in-depth exploration of essential aspects of data management, including the design and collection processes, and techniques for cleaning data to ensure its accuracy and reliability. Additionally, it addresses important data safety and security considerations, ensuring that participants are equipped with the knowledge to protect sensitive information. The course also covers effective folder management strategies, enabling students to organize and maintain their data systematically.
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Introduction to Data Analysis Software
2025-11-10 08:00 - 2025-11-14 17:00 | KEMRI Graduate School, P.O Box 54840-00200, Nairobi, Nairobi, 00200, Kenya
This course provides a comprehensive introduction to key data analysis and qualitative research software. It covers STATA for statistical analysis, R for data visualization and statistical computing, NVIVO for qualitative data organization and interpretation, and Dedoose for mixed-methods research. Participants will gain valuable insights into how to use these tools in their research projects effectively
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Basic Mental Health Crisis Response Training: Psychological First Aid and Suicide Prevention
2025-11-24 09:00 - 2025-11-28 16:30 | KEMRI Graduate School, P.O Box 54840-00200, Nairobi, Nairobi, 00200, Kenya
Basic Mental Health Crisis Response Training: Psychological First Aid and Suicide Prevention
This short course aims to build capacity among community-facing personnel to identify, respond to, and support individuals in psychological distress, including those at risk of suicide. By combining Psychological First Aid (PFA) and Suicide Prevention in a foundational course, participants will develop critical, culturally appropriate skills for mental health crisis support, early intervention, and referral.
Basic Mental Health Crisis Response Training: Psychological First Aid and Suicide Prevention
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Data Analysis
2025-12-08 08:00 - 2025-12-10 17:00 | KEMRI Graduate School, P.O Box 54840-00200, Nairobi, Nairobi, 00200, Kenya
This course covers key quantitative and qualitative data analysis techniques, focusing on the creation of an analysis plan and the introduction of relevant analytics software. Participants will gain practical skills to tackle data analysis challenges effectively.
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16 KEMRI Annual Scientific and Health Conference (KASH)
2026-02-10 08:00 - 2026-02-13 17:00 | Nairobi
The Kenya Medical Research Institute (KEMRI) is delighted to announce the Call for Abstracts and Symposia for the 16th KEMRI Annual Scientific and Health (KASH) Conference. This annual event continues to provide a platform that recognizes and elevates the innovation, creativity and passion of both senior and emerging scientists in Kenya, while showcasing their contributions at national and international levels.

The Theme of the 16th KASH Conference is:
The Future of Health: Scientific Research, Innovations, Technologies and Manufacturing for a Resilient UHC”
The Theme is anchored on the following sub-themes:

Reimagining Public Health & Health Systems
Innovative Strategies for Infectious Diseases, NTDs and AMR
Harnessing Natural Products for Drug Discovery & Therapeutics
Battling NCDs: From Prevention to Care
One Health & Climate-Resilient Systems
Transformative Sexual, Reproductive, and Child Health
Genomics & Precision Medicine: Bridging Science to Impact

The conference offers a unique opportunity for scientists, students, sponsors, collaborators, development partners and policymakers to share research findings, exchange knowledge, network and foster new partnerships.

Important dates

Abstract submission: 28ᵗʰ August – 30ᵗʰ November 2025

Early registration: 04ᵗʰ February 2026

Conference dates: 11ᵗʰ – 14ᵗʰ February 2026

Click here for Abstract and Symposium Guidelines and Submission

Click here to meet the organizing committee

Acknowledgment: “The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.”
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