Enabling Girls in AI and Growing Expertise (ENGAGE) in Data Science
ENabling Girls in AI and Growing Expertise (ENGAGE) in Data Science creates a health-focused machine learning training program at the University of Nairobi (UoN ) in partnership with the University of San Francisco California (UCSF) for girls and young women to reduce the biases created by men in data science.
This foundational work helps strengthen the pipeline and impact of women to improve health in their communities.
ENGAGE aim is to develop a machine-learning training program focusing on public health and infectious diseases at the University of Nairobi. The project specifically targets girls and young women and includes outreach training programs in 6 regions in Kenya.
TRAININGS
Tier 1
480 girls in total
Training of girls in Secondary Schools with strong foundation in Mathematics
Tier 2: 270 women in total
Targeting young women pursuing Diploma Courses in Science, Technology, Engineering and Mathematics (STEM).
Tier 3
135 women in total
Accelerate innovation with world-class tech teams We’ll match you to an entire remote team
Latest From ENGAGE Project
Testimonials
I have gained a strong foundation in public health through ENGAGE training, which has significantly advanced my skills in data science, machine learning, andartificial intelligence. This training has deepened my understanding of data analysis, particularly with tools like Python and libraries such as Pandas, NumPy, and Scikit-learn. I have also learned advanced techniques in data cleaning, modeling, and visualization, enhancing my problem- solving abilities. This comprehensive experience has not only improved my technical skills but has also heightened my appreciation for the role of AI and machine learning in addressing complex issues. My goal is to become a data scientist, and the ENGAGE Project has broadened my coding skills in Python.
Mary Mwende / Pwani
This being the third week of training the experience has been exciting and rewarding, particularly as it aligns with our career paths as engineers and ICT pioneers. We appreciate the focus on our individual journeys and the collaborative environment fostered by the project.
Christine Kihara / MUST
The ENGAGE Project has been pivotal in enhancing data science techniques for public health applications. Through this training, I have developed skills in hypothesis testing, data analysis, and interpretation, enabling me to address real-world public health challenges effectively. My analytical capabilities have improved, allowing me to make compelling arguments for effective health interventions. Ultimately, this training will guide my career towards leveraging data-driven insights to enhance public health outcomes and inform policy decisions.
Felista Kyambi / Pwani
I have gained a strong foundation in public health through ENGAGE training, which has significantly advanced my skills in data science, machine learning, and artificial intelligence. This training has deepened my understanding of data analysis, particularly with tools like Python and libraries such as Pandas, NumPy, and Scikit-learn. I have also learned advanced techniques in data cleaning, modeling, and visualization, enhancing my problem- solving abilities. This comprehensive experience has not only improved my technical skills but has also heightened my appreciation for the role of AI and machine learning in addressing complex issues. My goal is to become a data scientist, and the ENGAGE Project has broadened my coding skills in Python.
Sharbel Ndumi / Pwani
I had a dream and passion for data science but was unsure where to start. When I saw an ENGAGE poster on social media, my journey began. By the grace of the Almighty and the support from the ENGAGE team, I was selected to take part in the pilot training in Data Science and Artificial Intelligence. Over the past two weeks, I have gained invaluable knowledge in public health and data science, learning how to apply these skills to solve real-world problems. This experience has had a profound impact on my career path, giving me the confidence and skills to pursue my aspirations in data engineering. With one week remaining, I am eager to continue growing, I believe at the end of this training I will have learned a lot in data science. I am deeply grateful to the ENGAGE trainers for their mentorship, guidance, and dedication throughout this transformative journey.
Cynthia Wanja / KABARAK-: ENGAGE/KABU/T3-010/2024
Being one of the girls sponsored, I have gained valuable knowledge in data science, machine learning, AI and their applications in public health. This training is not only equipping me with technical expertise but also empowering me to contribute meaningfully to society, particularly in
Sheila Tanui / KABARAK:ENGAGE/KABU/T3-003/2024
Before joining the ENGAGE Project, I was close to abandoning my STEM career aspirations. This training has been transformative. I am profoundly grateful for the opportunity to learn data science and machine learning AI, skills that are crucial for analyzing complex biomedical data and driving impactful research. The knowledge I have gained has not only revitalized my passion and confidence but has also equipped me with essential tools to tackle real-world challenges effectively. These skills are vital for advancing my career and making meaningful contributions to biomedical research, ultimately enabling me to give back to my community with newfound expertise and commitment. </br>Thank you for the opportunity.
Anne Wanjiru Ndono / KABARAK:ENGAGE/KABU/T3-010/2024