![\"\"](\"https:\/\/grain-africa.org\/wp-content\/uploads\/2024\/03\/image.png\")
<\/figure>\n<\/div>\n\n\n\nMutiat Olaitan MOHAMMED <\/a><\/strong>leads the Project on : <\/a>AI for Women in Aquaculture (AI4WA) in Nigeria<\/a><\/strong><\/h4>\n\n\n\nThe Nigerian is a proactive and results-oriented team player, an advocate of the circular economy and turning waste into wealth. Mutiat has a remarkable track record of participating in and presenting research papers on the valorisation of agricultural waste.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nShamira Ahmed <\/a><\/strong>directs the Research Project on<\/a>\u00a0:<\/a><\/strong> ''Responsible AI for gender equality in Africa's circular economy''<\/a> <\/strong><\/h4>\n\n\n\nShamira is a policy entrepreneur, an experienced quantitative economist and an interdisciplinary policy and research specialist. She has a track record of providing technical assistance to policymakers and regulators in sub-Saharan Africa, including co-authoring confidential and non-confidential knowledge products such as the African Union Commission's Data Policy Framework, among others.<\/p>\n<\/div>\n\n\n\n
\n![\"\"](\"https:\/\/grain-africa.org\/wp-content\/uploads\/2024\/03\/image-1.png\")
<\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\n![\"\"](\"https:\/\/grain-africa.org\/wp-content\/uploads\/2024\/03\/image-2.png\")
<\/figure>\n<\/div>\n\n\n\n\nRebecca Ryakitimbo<\/strong> looks at the subject of : Gender mainstreaming in AI: a perspective from Francophone and Anglophone East Africa <\/strong><\/a><\/h4>\n\n\n\nShe is a technologist, writer, researcher and nature lover. Her work has focused on harnessing technology solutions to solve community challenges, including digital policy engagement. Co-founder of Digital Grassroots, she worked as part of a project team with the Kondoa Community Network using TV white space technology to bring internet connectivity to rural communities.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nDr. Joyce Nakatumba-Nabende <\/strong>(Uganda) focuses on : Cnderstanding gender bias in the construction of artificial intelligence models in the African context<\/strong> <\/a><\/h4>\n\n\n\nJoyce Nakatumba-Nabende is a lecturer in the Department of Computer Science. She heads Makerere's artificial intelligence laboratory, where she has worked on research projects aimed at developing and applying artificial intelligence and machine learning methods and tools to improve the quality of life, particularly in developing countries. She is a board member of Data Science Africa and a member of the ACM Education Advisory Committee.<\/p>\n<\/div>\n\n\n\n
\n![\"\"](\"https:\/\/grain-africa.org\/wp-content\/uploads\/2024\/03\/image-3.png\")
<\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\n![\"\"](\"https:\/\/grain-africa.org\/wp-content\/uploads\/2024\/03\/image-4.png\")
<\/figure>\n<\/div>\n\n\n\n\nJuliet Chebet Moso <\/strong>at the helm of the project ''<\/strong> An artificial intelligence-based model for the analysis of gender inequality in STEM programmes and career projection in Kenya'' <\/strong><\/a><\/h4>\n\n\n\nJuliet Chebet Moso holds a PhD in Computer Science from the University of Reims Champagne-Ardenne, an MSc in Computer Science from the University of Nairobi and a BSc in Computer Science from Egerton University. She is currently a lecturer at Dedan Kimathi University of Technology in Kenya.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nAngella Ndaka<\/strong> is carrying out the project on\u00a0<\/strong>digitisation for mama-Mboga : Is the involvement and inclusion of women in agri-tech AI important? experience of women in the informal agricultural sector in kenya <\/strong><\/a><\/h4>\n\n\n\nShe is an Early Career Researcher in Critical Sociotechnical Studies at the University of Otago, Executive Director and Head of AI Ethics and Governance Research at the Centre for African Epistemic Justice. Angella is a thought leader in complex and critical discourses on AI and emerging technologies, and a strong advocate for the critical inclusion of women and other minority groups in technology co-design and other critical decision-making spaces. Her thought-provoking conversations and discursive politics around AI have earned her global recognition, placing her on the list of the 100 Brightest Women in AI Ethics in 2023.<\/p>\n<\/div>\n\n\n\n
\n![\"\"](\"https:\/\/grain-africa.org\/wp-content\/uploads\/2024\/03\/image-5.png\")
<\/figure>\n<\/div>\n<\/div>\n\n\n\nThe He4She of the GRAIN network\u00a0<\/u><\/strong><\/h2>\n\n\n\n\n\n![\"\"](\"https:\/\/grain-africa.org\/wp-content\/uploads\/2024\/03\/image-6.png\")
<\/figure>\n<\/div>\n\n\n\n\nNatnael Tilahun <\/strong>is working on a project entitled ''Gender diversity and equity in the AI ecosystem: an SLR of African languages''<\/strong>'<\/a><\/h4>\n\n\n\nHe has a strong academic and professional background in computer science and software engineering. Natnael has accumulated over four years of valuable professional experience, excelling in a variety of roles and projects. Passionate about artificial intelligence, Natnael is dedicated to advancing the field and pursuing ambitious goals.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nDr Olayinka Jelili Yusuf <\/a><\/strong>is the team leader of the project called<\/a> AI for women in agriculture - AI4WIA<\/a><\/strong><\/h4>\n\n\n\nThe team leader, who has a PhD in agricultural extension and rural sociology, specialises in agricultural technology transfer, gender and rural development.<\/p>\n<\/div>\n\n\n\n
\n![\"\"](\"https:\/\/grain-africa.org\/wp-content\/uploads\/2024\/03\/image-7.png\")
<\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\n![\"\"](\"https:\/\/grain-africa.org\/wp-content\/uploads\/2024\/03\/image-8.png\")
<\/figure>\n<\/div>\n\n\n\n\nWalelign Tewabe Sewunetie <\/a><\/strong>leads the project on : <\/a>Natural Language Processing (NLP), Big Data Analytics, Human Data Mining<\/a><\/strong><\/h4>\n\n\n\nHe has over 14 years' corporate experience in teaching, consultancy, research and projects. He is a graduate of Arba Minch University Institute of Technology. His research interests include computer science, AI, NLP, intelligent tutoring systems, software engineering and more. His doctoral research topic is the design and development of automatic question generation models.<\/p>\n<\/div>\n<\/div>\n\n\n\n
Shamira Ahmed <\/a><\/strong>directs the Research Project on<\/a>\u00a0:<\/a><\/strong> ''Responsible AI for gender equality in Africa's circular economy''<\/a> <\/strong><\/h4>\n\n\n\nShamira is a policy entrepreneur, an experienced quantitative economist and an interdisciplinary policy and research specialist. She has a track record of providing technical assistance to policymakers and regulators in sub-Saharan Africa, including co-authoring confidential and non-confidential knowledge products such as the African Union Commission's Data Policy Framework, among others.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nRebecca Ryakitimbo<\/strong> looks at the subject of : Gender mainstreaming in AI: a perspective from Francophone and Anglophone East Africa <\/strong><\/a><\/h4>\n\n\n\nShe is a technologist, writer, researcher and nature lover. Her work has focused on harnessing technology solutions to solve community challenges, including digital policy engagement. Co-founder of Digital Grassroots, she worked as part of a project team with the Kondoa Community Network using TV white space technology to bring internet connectivity to rural communities.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nDr. Joyce Nakatumba-Nabende <\/strong>(Uganda) focuses on : Cnderstanding gender bias in the construction of artificial intelligence models in the African context<\/strong> <\/a><\/h4>\n\n\n\nJoyce Nakatumba-Nabende is a lecturer in the Department of Computer Science. She heads Makerere's artificial intelligence laboratory, where she has worked on research projects aimed at developing and applying artificial intelligence and machine learning methods and tools to improve the quality of life, particularly in developing countries. She is a board member of Data Science Africa and a member of the ACM Education Advisory Committee.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nJuliet Chebet Moso <\/strong>at the helm of the project ''<\/strong> An artificial intelligence-based model for the analysis of gender inequality in STEM programmes and career projection in Kenya'' <\/strong><\/a><\/h4>\n\n\n\nJuliet Chebet Moso holds a PhD in Computer Science from the University of Reims Champagne-Ardenne, an MSc in Computer Science from the University of Nairobi and a BSc in Computer Science from Egerton University. She is currently a lecturer at Dedan Kimathi University of Technology in Kenya.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nAngella Ndaka<\/strong> is carrying out the project on\u00a0<\/strong>digitisation for mama-Mboga : Is the involvement and inclusion of women in agri-tech AI important? experience of women in the informal agricultural sector in kenya <\/strong><\/a><\/h4>\n\n\n\nShe is an Early Career Researcher in Critical Sociotechnical Studies at the University of Otago, Executive Director and Head of AI Ethics and Governance Research at the Centre for African Epistemic Justice. Angella is a thought leader in complex and critical discourses on AI and emerging technologies, and a strong advocate for the critical inclusion of women and other minority groups in technology co-design and other critical decision-making spaces. Her thought-provoking conversations and discursive politics around AI have earned her global recognition, placing her on the list of the 100 Brightest Women in AI Ethics in 2023.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\nThe He4She of the GRAIN network\u00a0<\/u><\/strong><\/h2>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nNatnael Tilahun <\/strong>is working on a project entitled ''Gender diversity and equity in the AI ecosystem: an SLR of African languages''<\/strong>'<\/a><\/h4>\n\n\n\nHe has a strong academic and professional background in computer science and software engineering. Natnael has accumulated over four years of valuable professional experience, excelling in a variety of roles and projects. Passionate about artificial intelligence, Natnael is dedicated to advancing the field and pursuing ambitious goals.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nDr Olayinka Jelili Yusuf <\/a><\/strong>is the team leader of the project called<\/a> AI for women in agriculture - AI4WIA<\/a><\/strong><\/h4>\n\n\n\nThe team leader, who has a PhD in agricultural extension and rural sociology, specialises in agricultural technology transfer, gender and rural development.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nWalelign Tewabe Sewunetie <\/a><\/strong>leads the project on : <\/a>Natural Language Processing (NLP), Big Data Analytics, Human Data Mining<\/a><\/strong><\/h4>\n\n\n\nHe has over 14 years' corporate experience in teaching, consultancy, research and projects. He is a graduate of Arba Minch University Institute of Technology. His research interests include computer science, AI, NLP, intelligent tutoring systems, software engineering and more. His doctoral research topic is the design and development of automatic question generation models.<\/p>\n<\/div>\n<\/div>\n\n\n\n
<\/figure>\n<\/div>\n<\/div>\n\n\n\n<\/figure>\n<\/div>\n\n\n\nRebecca Ryakitimbo<\/strong> looks at the subject of : Gender mainstreaming in AI: a perspective from Francophone and Anglophone East Africa <\/strong><\/a><\/h4>\n\n\n\nShe is a technologist, writer, researcher and nature lover. Her work has focused on harnessing technology solutions to solve community challenges, including digital policy engagement. Co-founder of Digital Grassroots, she worked as part of a project team with the Kondoa Community Network using TV white space technology to bring internet connectivity to rural communities.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nDr. Joyce Nakatumba-Nabende <\/strong>(Uganda) focuses on : Cnderstanding gender bias in the construction of artificial intelligence models in the African context<\/strong> <\/a><\/h4>\n\n\n\nJoyce Nakatumba-Nabende is a lecturer in the Department of Computer Science. She heads Makerere's artificial intelligence laboratory, where she has worked on research projects aimed at developing and applying artificial intelligence and machine learning methods and tools to improve the quality of life, particularly in developing countries. She is a board member of Data Science Africa and a member of the ACM Education Advisory Committee.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nJuliet Chebet Moso <\/strong>at the helm of the project ''<\/strong> An artificial intelligence-based model for the analysis of gender inequality in STEM programmes and career projection in Kenya'' <\/strong><\/a><\/h4>\n\n\n\nJuliet Chebet Moso holds a PhD in Computer Science from the University of Reims Champagne-Ardenne, an MSc in Computer Science from the University of Nairobi and a BSc in Computer Science from Egerton University. She is currently a lecturer at Dedan Kimathi University of Technology in Kenya.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nAngella Ndaka<\/strong> is carrying out the project on\u00a0<\/strong>digitisation for mama-Mboga : Is the involvement and inclusion of women in agri-tech AI important? experience of women in the informal agricultural sector in kenya <\/strong><\/a><\/h4>\n\n\n\nShe is an Early Career Researcher in Critical Sociotechnical Studies at the University of Otago, Executive Director and Head of AI Ethics and Governance Research at the Centre for African Epistemic Justice. Angella is a thought leader in complex and critical discourses on AI and emerging technologies, and a strong advocate for the critical inclusion of women and other minority groups in technology co-design and other critical decision-making spaces. Her thought-provoking conversations and discursive politics around AI have earned her global recognition, placing her on the list of the 100 Brightest Women in AI Ethics in 2023.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\nThe He4She of the GRAIN network\u00a0<\/u><\/strong><\/h2>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nNatnael Tilahun <\/strong>is working on a project entitled ''Gender diversity and equity in the AI ecosystem: an SLR of African languages''<\/strong>'<\/a><\/h4>\n\n\n\nHe has a strong academic and professional background in computer science and software engineering. Natnael has accumulated over four years of valuable professional experience, excelling in a variety of roles and projects. Passionate about artificial intelligence, Natnael is dedicated to advancing the field and pursuing ambitious goals.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nDr Olayinka Jelili Yusuf <\/a><\/strong>is the team leader of the project called<\/a> AI for women in agriculture - AI4WIA<\/a><\/strong><\/h4>\n\n\n\nThe team leader, who has a PhD in agricultural extension and rural sociology, specialises in agricultural technology transfer, gender and rural development.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nWalelign Tewabe Sewunetie <\/a><\/strong>leads the project on : <\/a>Natural Language Processing (NLP), Big Data Analytics, Human Data Mining<\/a><\/strong><\/h4>\n\n\n\nHe has over 14 years' corporate experience in teaching, consultancy, research and projects. He is a graduate of Arba Minch University Institute of Technology. His research interests include computer science, AI, NLP, intelligent tutoring systems, software engineering and more. His doctoral research topic is the design and development of automatic question generation models.<\/p>\n<\/div>\n<\/div>\n\n\n\n
Dr. Joyce Nakatumba-Nabende <\/strong>(Uganda) focuses on : Cnderstanding gender bias in the construction of artificial intelligence models in the African context<\/strong> <\/a><\/h4>\n\n\n\nJoyce Nakatumba-Nabende is a lecturer in the Department of Computer Science. She heads Makerere's artificial intelligence laboratory, where she has worked on research projects aimed at developing and applying artificial intelligence and machine learning methods and tools to improve the quality of life, particularly in developing countries. She is a board member of Data Science Africa and a member of the ACM Education Advisory Committee.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nJuliet Chebet Moso <\/strong>at the helm of the project ''<\/strong> An artificial intelligence-based model for the analysis of gender inequality in STEM programmes and career projection in Kenya'' <\/strong><\/a><\/h4>\n\n\n\nJuliet Chebet Moso holds a PhD in Computer Science from the University of Reims Champagne-Ardenne, an MSc in Computer Science from the University of Nairobi and a BSc in Computer Science from Egerton University. She is currently a lecturer at Dedan Kimathi University of Technology in Kenya.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nAngella Ndaka<\/strong> is carrying out the project on\u00a0<\/strong>digitisation for mama-Mboga : Is the involvement and inclusion of women in agri-tech AI important? experience of women in the informal agricultural sector in kenya <\/strong><\/a><\/h4>\n\n\n\nShe is an Early Career Researcher in Critical Sociotechnical Studies at the University of Otago, Executive Director and Head of AI Ethics and Governance Research at the Centre for African Epistemic Justice. Angella is a thought leader in complex and critical discourses on AI and emerging technologies, and a strong advocate for the critical inclusion of women and other minority groups in technology co-design and other critical decision-making spaces. Her thought-provoking conversations and discursive politics around AI have earned her global recognition, placing her on the list of the 100 Brightest Women in AI Ethics in 2023.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\nThe He4She of the GRAIN network\u00a0<\/u><\/strong><\/h2>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nNatnael Tilahun <\/strong>is working on a project entitled ''Gender diversity and equity in the AI ecosystem: an SLR of African languages''<\/strong>'<\/a><\/h4>\n\n\n\nHe has a strong academic and professional background in computer science and software engineering. Natnael has accumulated over four years of valuable professional experience, excelling in a variety of roles and projects. Passionate about artificial intelligence, Natnael is dedicated to advancing the field and pursuing ambitious goals.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nDr Olayinka Jelili Yusuf <\/a><\/strong>is the team leader of the project called<\/a> AI for women in agriculture - AI4WIA<\/a><\/strong><\/h4>\n\n\n\nThe team leader, who has a PhD in agricultural extension and rural sociology, specialises in agricultural technology transfer, gender and rural development.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nWalelign Tewabe Sewunetie <\/a><\/strong>leads the project on : <\/a>Natural Language Processing (NLP), Big Data Analytics, Human Data Mining<\/a><\/strong><\/h4>\n\n\n\nHe has over 14 years' corporate experience in teaching, consultancy, research and projects. He is a graduate of Arba Minch University Institute of Technology. His research interests include computer science, AI, NLP, intelligent tutoring systems, software engineering and more. His doctoral research topic is the design and development of automatic question generation models.<\/p>\n<\/div>\n<\/div>\n\n\n\n
<\/figure>\n<\/div>\n<\/div>\n\n\n\n<\/figure>\n<\/div>\n\n\n\nJuliet Chebet Moso <\/strong>at the helm of the project ''<\/strong> An artificial intelligence-based model for the analysis of gender inequality in STEM programmes and career projection in Kenya'' <\/strong><\/a><\/h4>\n\n\n\nJuliet Chebet Moso holds a PhD in Computer Science from the University of Reims Champagne-Ardenne, an MSc in Computer Science from the University of Nairobi and a BSc in Computer Science from Egerton University. She is currently a lecturer at Dedan Kimathi University of Technology in Kenya.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nAngella Ndaka<\/strong> is carrying out the project on\u00a0<\/strong>digitisation for mama-Mboga : Is the involvement and inclusion of women in agri-tech AI important? experience of women in the informal agricultural sector in kenya <\/strong><\/a><\/h4>\n\n\n\nShe is an Early Career Researcher in Critical Sociotechnical Studies at the University of Otago, Executive Director and Head of AI Ethics and Governance Research at the Centre for African Epistemic Justice. Angella is a thought leader in complex and critical discourses on AI and emerging technologies, and a strong advocate for the critical inclusion of women and other minority groups in technology co-design and other critical decision-making spaces. Her thought-provoking conversations and discursive politics around AI have earned her global recognition, placing her on the list of the 100 Brightest Women in AI Ethics in 2023.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\nThe He4She of the GRAIN network\u00a0<\/u><\/strong><\/h2>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nNatnael Tilahun <\/strong>is working on a project entitled ''Gender diversity and equity in the AI ecosystem: an SLR of African languages''<\/strong>'<\/a><\/h4>\n\n\n\nHe has a strong academic and professional background in computer science and software engineering. Natnael has accumulated over four years of valuable professional experience, excelling in a variety of roles and projects. Passionate about artificial intelligence, Natnael is dedicated to advancing the field and pursuing ambitious goals.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nDr Olayinka Jelili Yusuf <\/a><\/strong>is the team leader of the project called<\/a> AI for women in agriculture - AI4WIA<\/a><\/strong><\/h4>\n\n\n\nThe team leader, who has a PhD in agricultural extension and rural sociology, specialises in agricultural technology transfer, gender and rural development.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nWalelign Tewabe Sewunetie <\/a><\/strong>leads the project on : <\/a>Natural Language Processing (NLP), Big Data Analytics, Human Data Mining<\/a><\/strong><\/h4>\n\n\n\nHe has over 14 years' corporate experience in teaching, consultancy, research and projects. He is a graduate of Arba Minch University Institute of Technology. His research interests include computer science, AI, NLP, intelligent tutoring systems, software engineering and more. His doctoral research topic is the design and development of automatic question generation models.<\/p>\n<\/div>\n<\/div>\n\n\n\n
Angella Ndaka<\/strong> is carrying out the project on\u00a0<\/strong>digitisation for mama-Mboga : Is the involvement and inclusion of women in agri-tech AI important? experience of women in the informal agricultural sector in kenya <\/strong><\/a><\/h4>\n\n\n\nShe is an Early Career Researcher in Critical Sociotechnical Studies at the University of Otago, Executive Director and Head of AI Ethics and Governance Research at the Centre for African Epistemic Justice. Angella is a thought leader in complex and critical discourses on AI and emerging technologies, and a strong advocate for the critical inclusion of women and other minority groups in technology co-design and other critical decision-making spaces. Her thought-provoking conversations and discursive politics around AI have earned her global recognition, placing her on the list of the 100 Brightest Women in AI Ethics in 2023.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\nThe He4She of the GRAIN network\u00a0<\/u><\/strong><\/h2>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nNatnael Tilahun <\/strong>is working on a project entitled ''Gender diversity and equity in the AI ecosystem: an SLR of African languages''<\/strong>'<\/a><\/h4>\n\n\n\nHe has a strong academic and professional background in computer science and software engineering. Natnael has accumulated over four years of valuable professional experience, excelling in a variety of roles and projects. Passionate about artificial intelligence, Natnael is dedicated to advancing the field and pursuing ambitious goals.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nDr Olayinka Jelili Yusuf <\/a><\/strong>is the team leader of the project called<\/a> AI for women in agriculture - AI4WIA<\/a><\/strong><\/h4>\n\n\n\nThe team leader, who has a PhD in agricultural extension and rural sociology, specialises in agricultural technology transfer, gender and rural development.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nWalelign Tewabe Sewunetie <\/a><\/strong>leads the project on : <\/a>Natural Language Processing (NLP), Big Data Analytics, Human Data Mining<\/a><\/strong><\/h4>\n\n\n\nHe has over 14 years' corporate experience in teaching, consultancy, research and projects. He is a graduate of Arba Minch University Institute of Technology. His research interests include computer science, AI, NLP, intelligent tutoring systems, software engineering and more. His doctoral research topic is the design and development of automatic question generation models.<\/p>\n<\/div>\n<\/div>\n\n\n\n
<\/figure>\n<\/div>\n<\/div>\n\n\n\nThe He4She of the GRAIN network\u00a0<\/u><\/strong><\/h2>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nNatnael Tilahun <\/strong>is working on a project entitled ''Gender diversity and equity in the AI ecosystem: an SLR of African languages''<\/strong>'<\/a><\/h4>\n\n\n\nHe has a strong academic and professional background in computer science and software engineering. Natnael has accumulated over four years of valuable professional experience, excelling in a variety of roles and projects. Passionate about artificial intelligence, Natnael is dedicated to advancing the field and pursuing ambitious goals.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nDr Olayinka Jelili Yusuf <\/a><\/strong>is the team leader of the project called<\/a> AI for women in agriculture - AI4WIA<\/a><\/strong><\/h4>\n\n\n\nThe team leader, who has a PhD in agricultural extension and rural sociology, specialises in agricultural technology transfer, gender and rural development.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nWalelign Tewabe Sewunetie <\/a><\/strong>leads the project on : <\/a>Natural Language Processing (NLP), Big Data Analytics, Human Data Mining<\/a><\/strong><\/h4>\n\n\n\nHe has over 14 years' corporate experience in teaching, consultancy, research and projects. He is a graduate of Arba Minch University Institute of Technology. His research interests include computer science, AI, NLP, intelligent tutoring systems, software engineering and more. His doctoral research topic is the design and development of automatic question generation models.<\/p>\n<\/div>\n<\/div>\n\n\n\n
<\/figure>\n<\/div>\n\n\n\nNatnael Tilahun <\/strong>is working on a project entitled ''Gender diversity and equity in the AI ecosystem: an SLR of African languages''<\/strong>'<\/a><\/h4>\n\n\n\nHe has a strong academic and professional background in computer science and software engineering. Natnael has accumulated over four years of valuable professional experience, excelling in a variety of roles and projects. Passionate about artificial intelligence, Natnael is dedicated to advancing the field and pursuing ambitious goals.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\nDr Olayinka Jelili Yusuf <\/a><\/strong>is the team leader of the project called<\/a> AI for women in agriculture - AI4WIA<\/a><\/strong><\/h4>\n\n\n\nThe team leader, who has a PhD in agricultural extension and rural sociology, specialises in agricultural technology transfer, gender and rural development.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nWalelign Tewabe Sewunetie <\/a><\/strong>leads the project on : <\/a>Natural Language Processing (NLP), Big Data Analytics, Human Data Mining<\/a><\/strong><\/h4>\n\n\n\nHe has over 14 years' corporate experience in teaching, consultancy, research and projects. He is a graduate of Arba Minch University Institute of Technology. His research interests include computer science, AI, NLP, intelligent tutoring systems, software engineering and more. His doctoral research topic is the design and development of automatic question generation models.<\/p>\n<\/div>\n<\/div>\n\n\n\n
Dr Olayinka Jelili Yusuf <\/a><\/strong>is the team leader of the project called<\/a> AI for women in agriculture - AI4WIA<\/a><\/strong><\/h4>\n\n\n\nThe team leader, who has a PhD in agricultural extension and rural sociology, specialises in agricultural technology transfer, gender and rural development.<\/p>\n<\/div>\n\n\n\n
\n<\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\n<\/figure>\n<\/div>\n\n\n\n\nWalelign Tewabe Sewunetie <\/a><\/strong>leads the project on : <\/a>Natural Language Processing (NLP), Big Data Analytics, Human Data Mining<\/a><\/strong><\/h4>\n\n\n\nHe has over 14 years' corporate experience in teaching, consultancy, research and projects. He is a graduate of Arba Minch University Institute of Technology. His research interests include computer science, AI, NLP, intelligent tutoring systems, software engineering and more. His doctoral research topic is the design and development of automatic question generation models.<\/p>\n<\/div>\n<\/div>\n\n\n\n
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