# Event Details - **Event Name**: AfOx Insaka with Prof. June Bam and Dr. Theofrida J. Maginga - **Event Start and End Date**: Fri, 06 Feb, 2026 at 05:30 pm – Fri, 06 Feb, 2026 at 07:00 pm - **Event Description**: AfOx insaka's bring together thousands of people on one platform to share ideas and exchange knowledge on Africa related research.About this EventJoin our next insaka on Friday 6th February, 2026 at 5:30pm UK time. The insaka will be live-streamed on YouTube and we encourage you send in your questions via the YouTube chat box. Speakers for this insaka are:• Professor June Bam: Global Herstoriography: an African perspective through the lens of plants• Dr. Theofrida J. Maginga: Predicting Soil Erosion Risk and Sustainable Land Use in Tanzania’s Uluguru Mountains Using AI and Climate Geospatial DataGlobal Herstoriography: an African perspective through the lens of plantsIn the recent past, innovative decolonial approaches in the interdisciplinary fields towards the study of Africa have emerged. These include research methodologies which address the limitations of Eurocentric approaches to knowledge production about Africa’s deep pasts and our understanding of interconnected links to present crises, such as climate change. An example of such insights is gained in research on long-survived feminist indigenous Khoe ‘Ausi’ intergenerational ecological and medicinal knowledge around the wetlands on the Cape Flats in the Western Cape in South Africa. At the colonized Cape of Good Hope, ‘Ausi’ knowledge was superficially described as the ‘kruidvrou’ (woman of herbs) in early European travelers’ accounts. The matrifocal globally interconnected and metaphorical ‘Ausi’ knowledge of environmental sustainability and medicinal practices is illustration of Africa’s deep-time interconnectedness. How could this feminist African perspective through the knowledge of plants help us to rethink Africa’s epistemological relationality in the world?Predicting Soil Erosion Risk and Sustainable Land Use in Tanzania’s Uluguru Mountains Using AI and Climate Geospatial DataAI has the potential ability to understanding environmental change by helping us analyse large datasets and detecting patterns. In this paper, I focus on how artificial intelligence, satellite imagery, and climate data can be combined to predict soil erosion in Tanzania’s Uluguru Mountains a vital region for smallholder spice farming. These landscapes are increasingly at risk due to deforestation, poor land use decisions, and climate stress. By using deep learning techniques like CNN and LSTM, the project aims to develop an interactive GIS tool to offer guidance for sustainbale land management.Agenda?: 05:30 PM - 05:35 PMWelcome and Introduction to AfOx Host: David Owino?: 05:35 PM - 06:00 PMGlobal Herstoriography: an African perspective through the lens of plantsHost: Professor June BamInfo: In the recent past, innovative decolonial approaches in the interdisciplinary fields towards the study of Africa have emerged. These include research methodologies which address the limitations of Eurocentric approaches to knowledge production about Africa’s deep pasts and our understanding of interconnected links to present crises, such as climate change. An example of such insights is gained in research on long-survived feminist indigenous Khoe ‘Ausi’ intergenerational ecological and medicinal knowledge around the wetlands on the Cape Flats in the Western Cape in South Africa. At the colonized Cape of Good Hope, ‘Ausi’ knowledge was superficially described as the ‘kruidvrou’ (woman of herbs) in early European travelers’ accounts. The matrifocal globally interconnected and metaphorical ‘Ausi’ knowledge of environmental sustainability and medicinal practices is illustration of Africa’s deep-time interconnectedness. ?: 06:00 PM - 06:25 PMPredicting Soil Erosion Risk and Sustainable Land Using AIHost: Dr. Theofrida J. MagingaInfo: AI has the potential ability to understanding environmental change by helping us analyse large datasets and detecting patterns. In this paper, I focus on how artificial intelligence, satellite imagery, and climate data can be combined to predict soil erosion in Tanzania’s Uluguru Mountains a vital region for smallholder spice farming. These landscapes are increasingly at risk due to deforestation, poor land use decisions, and climate stress. By using deep learning techniques like CNN and LSTM, the project aims to develop an interactive GIS tool to offer guidance for sustainbale land management.?: 06:25 PM - 06:55 PMDiscussion?: 06:55 PM - 07:00 PMClosing Remarks ?: 07:00 PM - 09:00 PMDrinks Reception - **Event URL**: https://allevents.in/park-town/afox-insaka-with-prof-june-bam-and-dr-theofrida-j-maginga/100001979854737817 - **Event Categories**: artificial-intelligence, virtual - **Interested Audience**: - total_interested_count: 0 ## Ticket Details - **Ticket Price Range**: min: 0, max: 0, currency: GBP ## Event venue details - **city**: Park Town - **state**: EN - **country**: United Kingdom - **location**: The Hub - Kellogg College - **lat**: 51.76434039999999 - **long**: -1.2599498 - **full address**: The Hub - Kellogg College, Park Town, United Kingdom ## Event gallery - **Alt text**: AfOx Insaka with Prof. June Bam and Dr. Theofrida J. Maginga - **Image URL**: https://cdn-az.allevents.in/events5/banners/706a066caca3ec314d460abcee51bfa27e9ac7f18f47b7a58647c14bcbeec766-rimg-w1200-h600-dcf4f8f6-gmir.jpg?v=1767711923 ## FAQs - **Q**: When and where is AfOx Insaka with Prof. June Bam and Dr. Theofrida J. Maginga being held? - **A:** AfOx Insaka with Prof. June Bam and Dr. Theofrida J. Maginga takes place on Fri, 06 Feb, 2026 at 05:30 pm to Fri, 06 Feb, 2026 at 07:00 pm at The Hub - Kellogg College, Park Town, United Kingdom. - **Q**: Who is organizing AfOx Insaka with Prof. June Bam and Dr. Theofrida J. Maginga? - **A:** AfOx Insaka with Prof. June Bam and Dr. Theofrida J. Maginga is organized by Africa Oxford Initiative. ## Structured Data (JSON-LD) ```json [ { "@context": "https://schema.org", "@type": "Event", "name": "AfOx Insaka with Prof. June Bam and Dr. Theofrida J. 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