Abstract:Background: The 2018-2019 Ebola virus disease (EVD) outbreak in North Kivu and Ituri provinces in the Democratic Republic of the Congo (DRC) is the largest ever recorded in the DRC. It has been declared a Public Health Emergency of International Concern. The outbreak emerged in a region of chronic conflict and insecurity, and directed attacks against health care workers may have interfered with disease response activities. Our study characterizes and quantifies the broader conflict dynamics over the course of … Show more
“…The authors found that African researchers are significantly under-represented in the global health community, even when the data originates from Africa. A common threat is parachute-research, in which non-African researchers benefit from data sharing and open data, are afforded the opportunity to narrate African stories (in some cases also contributing to deficit narratives), and publish scientific work using African generated data available through open access initiativesall while ignoring the contributions of African communities and scholars [66,74,82,127]. Recent work within the medical sciences published on the Ebola outbreak in the Democratic Republic of the Congo can be cited as a prime example in this regard.…”
Section: Resource Inequalities and Colonial Oppressive Histories Instillmentioning
As machine learning and data science applications grow ever more prevalent, there is an increased focus on data sharing and open data initiatives, particularly in the context of the African continent. Many argue that data sharing can support research and policy design to alleviate poverty, inequality, and derivative effects in Africa. Despite the fact that the datasets in question are often extracted from African communities, conversations around the challenges of accessing and sharing African data are too often driven by non-African stakeholders. These perspectives frequently employ a deficit narratives, often focusing on lack of education, training, and technological resources in the continent as the leading causes of friction in the data ecosystem.We argue that these narratives obfuscate and distort the full complexity of the African data sharing landscape. In particular, we use storytelling via fictional personas built from a series of interviews with African data experts to complicate dominant narratives and to provide counternarratives. Coupling these personas with research on data practices within the continent, we identify recurring barriers to data sharing as well as inequities in the distribution of data sharing benefits. In particular, we discuss issues arising from power imbalances resulting from the legacies of colonialism, ethno-centrism, and slavery, disinvestment in building trust, lack of acknowledgement of historical and present-day extractive practices, and Western-centric policies that are ill-suited to the African context. After outlining these problems, we discuss avenues for addressing them when sharing data generated in the continent.
CCS CONCEPTS• Computing methodologies → Artificial intelligence; • Social and professional topics → Government technology policy.
“…The authors found that African researchers are significantly under-represented in the global health community, even when the data originates from Africa. A common threat is parachute-research, in which non-African researchers benefit from data sharing and open data, are afforded the opportunity to narrate African stories (in some cases also contributing to deficit narratives), and publish scientific work using African generated data available through open access initiativesall while ignoring the contributions of African communities and scholars [66,74,82,127]. Recent work within the medical sciences published on the Ebola outbreak in the Democratic Republic of the Congo can be cited as a prime example in this regard.…”
Section: Resource Inequalities and Colonial Oppressive Histories Instillmentioning
As machine learning and data science applications grow ever more prevalent, there is an increased focus on data sharing and open data initiatives, particularly in the context of the African continent. Many argue that data sharing can support research and policy design to alleviate poverty, inequality, and derivative effects in Africa. Despite the fact that the datasets in question are often extracted from African communities, conversations around the challenges of accessing and sharing African data are too often driven by non-African stakeholders. These perspectives frequently employ a deficit narratives, often focusing on lack of education, training, and technological resources in the continent as the leading causes of friction in the data ecosystem.We argue that these narratives obfuscate and distort the full complexity of the African data sharing landscape. In particular, we use storytelling via fictional personas built from a series of interviews with African data experts to complicate dominant narratives and to provide counternarratives. Coupling these personas with research on data practices within the continent, we identify recurring barriers to data sharing as well as inequities in the distribution of data sharing benefits. In particular, we discuss issues arising from power imbalances resulting from the legacies of colonialism, ethno-centrism, and slavery, disinvestment in building trust, lack of acknowledgement of historical and present-day extractive practices, and Western-centric policies that are ill-suited to the African context. After outlining these problems, we discuss avenues for addressing them when sharing data generated in the continent.
CCS CONCEPTS• Computing methodologies → Artificial intelligence; • Social and professional topics → Government technology policy.
“…a las personas por la degradación de servicios ecosistémicos, por ejemplo, mediante cambios en la hidrología, la gestión del agua, y la agricultura de regadío (Recuadro 1) 52 . También es posible que las relaciones a gran escala entre brotes de enfermedades zoonóticas y conflictos armados, como se documentó para el Ébola en la República Democrática del Congo en 2018-2019 53 , puedan verse influenciadas por el deterioro ambiental concomitante con ambos.…”
Section: A Síntesis De Los Datos Actualesunclassified
La presentación del material en esta publicación y las denominaciones empleadas para las entidades geográficas no implican en absoluto la expresión de una opinión por parte de la UICN o de otra organización participante sobre la situación jurídica de un país, territorio o zona, o de sus autoridades, o acerca de la demarcación de sus límites o fronteras.Los puntos de vista que se expresan en esa publicación no reflejan necesariamente los de la UICN o de otra organización participante.La UICN se complace en agradecer el apoyo de sus socios marco por su financiación del programa
“…Les impacts de la guerre sur les écosystèmes incluent également les coûts indirects imposés aux populations par la dégradation des services écosystémiques, comme par exemple au travers de changements dans l'hydrologie et la gestion de l'eau ou l'agriculture irriguée associées (Encadré 1) 52 . Il est également possible que des relations à grande échelle entre épidémies de zoonoses et conflits armés puissent être influencées par la détérioration de l'environnement liée à ces deux aspects, comme cela a été documenté pour le virus Ébola en République démocratique du Congo, en 2018-2019 53 .…”
La terminologie géographique employée dans cet ouvrage, de même que sa présentation, ne sont en aucune manière l'expression d'une opinion quelconque de la part de l'UICN ou des autres organisations concernées sur le statut juridique ou l'autorité de quelque pays, territoire ou région que ce soit, ou sur la délimitation de ses frontières.Les opinions exprimées dans cette publication ne reflètent pas nécessairement celles de l'UICN ou des autres organisations concernées.L'UICN remercie ses partenaires cadre pour leur précieux support et tout particulièrement : le Ministère des affaires étrangères du Danemark ; le Ministère des affaires étrangères
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