Applications are now open for the Computer Vision for Ecology in South Africa (CV4E-SA) Workshop 2027, an exciting opportunity for eligible researchers to develop practical skills in artificial intelligence (AI) and computer vision for ecological research, wildlife monitoring and conservation. The workshop will take place from 22–26 February 2027 at the African Institute for Mathematical Sciences (AIMS South Africa) in Muizenberg, South Africa. The programme will bring together ecological researchers and computer vision specialists to explore how modern AI techniques can help analyse large collections of images, videos and audio recordings. Researchers interested in using technology to address ecological and environmental challenges are encouraged to apply before the deadline of 13 November 2026. About the Computer Vision for Ecology in South Africa Workshop Computer Vision for Ecology in South Africa (CV4E-SA) is being organised in collaboration with the team behind Computer Vision Methods for Ecology (CV4E), an initiative that brings together ecologists and computer vision experts to help researchers use modern computational techniques in ecological studies. The original CV4E programme provides training in analysing large image, video and audio datasets using computer vision and AI methods. These tools can help researchers process ecological information more efficiently, identify patterns in complex datasets and support the monitoring of species and ecosystems. The South African edition will adapt this training to the needs and research realities of scientists working in Africa. By offering practical, hands-on learning, the workshop aims to strengthen participants’ capacity to apply emerging technologies to ecological research and conservation challenges. The programme will be hosted at AIMS South Africa in Muizenberg, a centre for advanced scientific training and research. What Will Participants Learn? The workshop will focus on the practical application of computer vision and AI in ecology. Participants will explore how these technologies can help researchers work with large volumes of ecological data that would otherwise be difficult and time-consuming to analyse manually. Key areas of learning are expected to include: 1. Computer vision for ecological research Participants will explore how computer vision methods can be applied to ecological datasets, including photographs and video recordings collected during fieldwork and environmental monitoring. 2. Analysing large image and video datasets Modern ecological research can generate substantial quantities of visual data. Computer vision tools can help researchers process these materials more efficiently and identify information relevant to their research questions. 3. Working with ecological audio data The workshop announcement also highlights audio datasets. These can be important for studying wildlife, including species whose presence or behaviour can be monitored through recorded sounds. 4. Applying AI to wildlife monitoring and conservation Participants will examine how AI-supported analysis can contribute to wildlife monitoring and conservation efforts, helping researchers gain insights from ecological observations. 5. Practical, hands-on training The programme is designed around practical learning, giving participants an opportunity to explore methods that can support their own research activities. Who Is Eligible to Apply? According to the announcement, applications are open to South African citizens and residents who are currently based in South Africa. However, applicants must be able to attend the workshop without requiring a visa. The organisers have stated that, because of visa-related constraints, they cannot accept applications from individuals who would need a visa to participate. This means that meeting the citizenship or residency requirement alone may not be sufficient if an applicant requires a visa to attend. The announcement does not provide a detailed list of academic qualifications, minimum experience requirements or specific eligible research disciplines. Interested candidates should therefore consult the official application form for any additional eligibility conditions before submitting their applications. Researchers working in ecology, wildlife conservation, biodiversity, environmental science or related fields may find the workshop particularly relevant if their work involves collecting or analysing large datasets. Workshop Details at a Glance Programme: Computer Vision for Ecology in South Africa (CV4E-SA) Dates: 22–26 February 2027 Venue: African Institute for Mathematical Sciences (AIMS South Africa), Muizenberg, South Africa Format: In-person workshop with hands-on training Focus areas: Computer vision, artificial intelligence, ecological data analysis, wildlife monitoring and conservation Eligible applicants: South African citizens and residents currently based in South Africa who do not require a visa to attend Application deadline: 13 November 2026 How to Apply Interested and eligible candidates should submit their applications through the official application link provided in the workshop announcement. Application link: https://lnkd.in/digwfuBR Applicants should review the application requirements carefully, confirm that they meet the eligibility conditions and ensure they can attend the workshop in Muizenberg during the specified dates. Because the organisers have highlighted visa-related restrictions, candidates should pay particular attention to the requirement that they must not need a visa to participate. Applicants are encouraged to submit their applications before the deadline rather than waiting until the final day. Application Deadline The deadline to apply for the Computer Vision for Ecology in South Africa Workshop 2027 is 13 November 2026. The workshop will take place from 22 to 26 February 2027. Candidates should consult the official application page for the complete requirements and any updates to the programme. Why This Opportunity Matters Artificial intelligence is creating new possibilities for ecological research, particularly as scientists increasingly rely on cameras, video recordings and acoustic monitoring to study wildlife and ecosystems. Learning to analyse these datasets can help researchers identify species, investigate ecological patterns and support conservation decisions. However, effectively using these technologies requires appropriate technical skills and an understanding of how computational methods can be applied to real-world research questions. By bringing computer vision training to South Africa and adapting the programme to the African research context, CV4E-SA offers an opportunity to strengthen local research capacity and encourage collaboration between ecology and AI specialists. For eligible researchers interested in combining technology, biodiversity research and conservation, the workshop could provide valuable practical knowledge to support future projects. Take the next step: If you are a South African citizen or resident currently based in South Africa and meet the attendance requirements, review the official application details and apply before 13 November 2026. 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