Suchergebnisse

Funded by the Arts and Humanities Research Council under the UKRI COVID-19 Rapid Response call, the Observatory for Monitoring Data-Driven Approaches to COVID-19 (OMDDAC) is a collaboration between Northumbria University and the Royal United Services Institute (RUSI). This project has involved a multidisciplinary team of researchers (with expertise in the law on technology, data protection, and medicine as well as practical ethics, computer science, data science, applied statistics in health, technology and security studies and behavioural science) to investigate the legal, ethical, policy and operationalchallenges encountered in relation to key data-driven responses to the pandemic.The COVID-19 pandemic has accelerated the consideration of several priorities in the data and technology space, which are reflected in the UK Government's present strategies. The National Data Strategy, in particular, pledges to take account of the lessons learned from the COVID-19 response and draw uponthe UK's values of transparency, accountability and inclusion. Seeking to inform the lessons learned from the pandemic, the project used a mixed-methods research design that included case study analysis, interviews with key stakeholders (individuals with relevant expertise and/or experience in relation to the data-driven pandemic response), representative public surveys, and engagement with young people through a children's rights charity. OMDDAC has published four snapshot reports focused on data-driven public policy, tech-driven approaches to public health, policing and public safety and key findings from the public perceptions survey. The emerging issues identified in those reports align closely with the four pillars of the National Data Strategy, which form the framework for this final project report:1. Data Foundations (data quality issues and infrastructure);2. Data Skills (data literacy of decision-makers);3. Data Availability (data sharing); and4. Responsibility (law, ethics, transparency, and public trust).

These practitioner guidelines are presented by the AHRC funded 'Observatory for Monitoring Data-Driven Approaches to COVID-19' (OMDDAC) project. OMDDAC is a collaboration between Northumbria University and the Royal United Services Institute (RUSI), researching the data-driven approaches to COVID-19, with a focus upon legal, ethical, policy and operational challenges. OMDDAC has analysed key data-driven responses to COVID-19, collating lessons learned in 'real time' throughout the pandemic by way of representative public surveys, case study analysis and interviews with key stakeholders from a range of sectors (including local and central government, regulators, law enforcement, the medical and legal profession, charities and the third sector, the private sector, and an interdisciplinary range of academics). These practitioner guidelines have been informed by our research findings. The guidelines are relevant specifically to practitioners who work with data in the health and social care sector and in the law enforcement sector.

AbstractCOVID-19 has caused far-reaching humanitarian challenges. Amongst the emerging impacts of the pandemic is on the dynamics of human trafficking. This paper presents findings from a multi-methods study interrogating the impacts of COVID-19 on human trafficking in Sudan—a critical source, destination, and transit country. The analysis combines a systematic evidence review, semi-structured interviews, and a focus group with survivors, conducted between January and May of 2021. We find key risks have been exacerbated, and simultaneously, critical infrastructure for identifying victims, providing support, and ensuring accountability of perpetrators has been impeded. Centrally, the co-occurrence of the pandemic and the democratic transition undercut the institutional and governance capacity, limiting the anti-trafficking response and exposing already vulnerable groups to increased risks of human trafficking. Findings point to increased vulnerabilities for individuals with one or more of the following identities: migrants, refugees, females, and informal labourers.