This paper describes the work done to track the supply chains of sur-veillance technologies from the global North to African governments for illegal surveillance of their citizens. We conducted desk research to analyse the supply side of surveillance technology exported to African countries. Our preliminary findings show nine key exporting states-actors for surveillance technologies to Africa. These are China; European Union agencies, and member states France, Germany, Italy; Israel, United Kingdom, Russia, and the United States of Amer-ica. Regarding the specific surveillance technologies being transferred, each export-ing state tends to have a focus area, both in geographic area and within the five surveillance technology categories covered by this study. The paper identified six motives for state surveillance, including the suppliers' perspective. These are: 1) surveillance as legitimacy for state security, 2) surveillance for political gain, 3) surveillance as diplomacy, 4) surveillance as a tool for development, 5) Surveil-lance as neocolonialism, and 6) surveillance as business opportunity. Further re-search is needed to deepen the analysis of surveillance technologies exports to the African continent and the human rights violations.
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Parents who grew up without digital monitoring have a plethora of parental monitoring opportunities at their disposal. While they can engage in surveillance practices to safeguard their children, they also have to balance freedom against control. This research is based on in-depth interviews with eleven early adolescents and eleven parents to investigate everyday negotiations of parental monitoring. Parental monitoring is presented as a form of lateral surveillance because it entails parents engaging in surveillance practices to monitor their children. The results indicate that some parents are motivated to use digital monitoring tools to safeguard and guide their children, while others refrain from surveillance practices to prioritise freedom and trust. The most common forms of surveillance are location tracking and the monitoring of digital behaviour and screen time. Moreover, we provide unique insights into the use of student tracking systems as an impactful form of control. Early adolescents negotiate these parental monitoring practices, with responses ranging from acceptance to active forms of resistance. Some children also monitor their parents, showcasing a reciprocal form of lateral surveillance. In all families, monitoring practices are negotiated in open conversations that also foster digital resilience. This study shows that the concepts of parental monitoring and lateral surveillance fall short in grasping the reciprocal character of monitoring and the power dynamics in parent-child relations. We therefore propose that monitoring practices in families can best be understood as family surveillance, providing a novel concept to understand how surveillance is embedded in contemporary media practices among interconnected family members.
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De African Digital Rights Network (ADRN) heeft een nieuw rapport gepubliceerd waarin de toevoer en verspreiding van digitale surveillance technologie in Afrika in kaart is gebracht. Onderzoeker Anand Sheombar van het lectoraat Procesinnovatie & Informatiesystemen is betrokken bij het ADRN-collectief en heeft samen met de Engelse journalist Sebastian Klovig Skelton, door middel van desk research de aanvoerlijnen vanuit Westerse en Noordelijke landen geanalyseerd. De bevindingen zijn te lezen in dit Supply-side report hoofdstuk van het rapport. APA-bronvermelding: Klovig Skelton, S., & Sheombar, A. (2023). Mapping the supply of surveillance technologies to Africa Supply-side report. In T. Roberts (Ed.), Mapping the Supply of Surveillance Technologies to Africa: Case Studies from Nigeria, Ghana, Morocco, Malawi, and Zambia (pp. 136-167). Brighton, UK: Institute of Development Studies.
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In veel Afrikaanse landen zien we een inperking van de maatschappelijke ruimte (‘civic space’). Deze ruimte is cruciaal om in democratische staten transparantie, vrijheid van meningsuiting en verantwoording van bestuur te realiseren. In een steeds sterke digitaliserende maatschappij wordt toegang tot digitale middelen een mensenrecht. Daar waar regeringen proberen hun burgers en organisaties dat recht tot digitale informatievoorziening en –uitwisselingen te ontnemen komen de Sustainable Development Goals in het gedrang. Doel African Digital Rights Network (ADRN) wil inzicht verkrijgen in de stakeholders ne technologieën die betrokken zijn net het openen of onderdrukken van de online maatschappelijke ruimte (‘civic space’). Het netwerk beoogt bij te dragen aam empowerment van burgers om hun digitale mensenrechten uit te oefenen. Resultaten ADRN heeft een vergelijkende studie van 10 Afrikaanse landen uitgevoerd naar het gebruik van digitale technologieën voor het openen of onderdrukken van de online maatschappelijke ruimte (‘civic space’). Het project heeft onder andere geleidt tot de volgende publicatie: Mapping the Supply of Surveillance Technologies to Africa: Case Studies from Nigeria, Ghana, Morocco, Malawi, and Zambia Looptijd 01 mei 2020 - 20 april 2021 Aanpak ADRN organiseert een netwerk van onderzoekers, analisten, digitale rechtenorganisaties en activisten om de dynamiek van het openen en onderdrukken van de digitale maatschappelijke ruimte in kaart te brengen. Het netwerk bouwt op een interdisciplinaire onderzoeksaanpak o.l.v. het Institute for Development Studies, een vooraanstaand onderzoeksinstituut. Relevantie van het project Het onderzoek leidt tot aanbevelingen voor o.a. beleidsmakers en maatschappelijke organisaties ter bevordering van de digitale maatschappelijke ruimte. Daarnaast worden digitale tools en trainingsmateriaal gefaciliteerd voor het monitoren van ontwikkelingen en dreigingen van de digitale maatschappelijke ruimte. CofinancieringDit onderzoek wordt gefinancierd door UKRI - GCRF Digital Innovation for Development in Africa (DIDA)Meer weten? UKRI GCRF: African Digital Rights Network Website ADRN
Drones have been verified as the camera of 2024 due to the enormous exponential growth in terms of the relevant technologies and applications such as smart agriculture, transportation, inspection, logistics, surveillance and interaction. Therefore, the commercial solutions to deploy drones in different working places have become a crucial demand for companies. Warehouses are one of the most promising industrial domains to utilize drones to automate different operations such as inventory scanning, goods transportation to the delivery lines, area monitoring on demand and so on. On the other hands, deploying drones (or even mobile robots) in such challenging environment needs to enable accurate state estimation in terms of position and orientation to allow autonomous navigation. This is because GPS signals are not available in warehouses due to the obstruction by the closed-sky areas and the signal deflection by structures. Vision-based positioning systems are the most promising techniques to achieve reliable position estimation in indoor environments. This is because of using low-cost sensors (cameras), the utilization of dense environmental features and the possibilities to operate in indoor/outdoor areas. Therefore, this proposal aims to address a crucial question for industrial applications with our industrial partners to explore limitations and develop solutions towards robust state estimation of drones in challenging environments such as warehouses and greenhouses. The results of this project will be used as the baseline to develop other navigation technologies towards full autonomous deployment of drones such as mapping, localization, docking and maneuvering to safely deploy drones in GPS-denied areas.
The utilization of drones in various industries, such as agriculture, infrastructure inspection, and surveillance, has significantly increased in recent years. However, navigating low-altitude environments poses a challenge due to potential collisions with “unseen” obstacles like power lines and poles, leading to safety concerns and equipment damage. Traditional obstacle avoidance systems often struggle with detecting thin and transparent obstacles, making them ill-suited for scenarios involving power lines, which are essential yet difficult to perceive visually. Together with partners that are active in logistics and safety and security domains, this project proposal aims at conducting feasibility study on advanced obstacle detection and avoidance system for low-flying drones. To that end, the main research question is, “How can AI-enabled, robust and module invisible obstacle avoidance technology can be developed for low-flying drones? During this feasibility study, cutting-edge sensor technologies, such as LiDAR, radar, camera and advanced machine learning algorithms will be investigated to what extent they can be used be to accurately detect “Not easily seen” obstacles in real-time. The successful conclusion of this project will lead to a bigger project that aims to contribute to the advancement of drone safety and operational capabilities in low-altitude environments, opening new possibilities for applications in industries where low-flying drones and obstacle avoidance are critical.
