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The paper proposes a privacy-preserving artificial intelligence-enabled video surveillance technology to monitor social distancing in public spaces.

The paper proposes a new Responsible Artificial Intelligence Implementation Framework to guide the proposed solution's design and development. It defines responsible artificial intelligence criteria that the solution needs to meet and provides checklists to enforce the criteria throughout the process. To preserve data privacy, the proposed system incorporates a federated learning approach to allow computation performed on edge devices to limit sensitive and identifiable data movement and eliminate the dependency of cloud computing at a central server.

The proposed system is evaluated through a case study of monitoring social distancing at an airport. The results discuss how the system can fully address the case study's requirements in terms of its reliability, its usefulness when deployed to the airport's cameras, and its compliance with responsible artificial intelligence.

The paper makes three contributions. First, it proposes a real-time social distancing breach detection system on edge that extends from a combination of cutting-edge people detection and tracking algorithms to achieve robust performance. Second, it proposes a design approach to develop responsible artificial intelligence in video surveillance contexts. Third, it presents results and discussion from a comprehensive evaluation in the context of a case study at an airport to demonstrate the proposed system's robust performance and practical usefulness.

As the subject of female criminology in South Africa has only recently been dealt with in a qualitative manner, this paper aims to explore if there is a potential link between rehabilitation, reintegration support and recidivism as females are often placed back into the environment which prompted their criminal behaviour, further excluding them from rehabilitative reform, which might lead them to recidivate.

The research adopted a qualitative approach using in-depth, semi-structured interviews with six participants that were chosen purposively.

The paper notes a potential link between rehabilitation, reintegration support and recidivism as the female prisoners are imprinted with criminal dispositions since rehabilitation within the correctional facility has no implementation process to ensure that restoration can continue after they have been released.

Due to the limited number of the incarcerated female population and the scope of the preliminary study, the sample comprised of only six female offenders. As such, it contributes to the larger discourse of female criminality, but does not offer any recommendations.

Provides an understanding of the conditions in which the females are released. Allows for the inclusion of the female’s voice on, and reflection of, rehabilitation and recidivism. Notes a link between rehabilitation, reintegration and recidivism. Creates a pathway for further research in the exploration of a gendered reform approach.

While the subject of female criminology in South Africa has only recently been dealt with in a qualitative manner, this study offers an insight into how females who offend are often placed back into the environment which prompted their criminal behaviour.

To assess which partnerships were most critical during the recovery planning process following Hurricanes Maria and Irma. We discuss the roles and impact of different types of partners, barriers and facilitators to partnerships and lessons in collaboration during the development of the economic and disaster recovery plan for Puerto Rico.

The Homeland Security Operational Analysis Center (HSOAC) was tasked with assisting the Puerto Rican government with an assessment of damages from Hurricanes Maria and Irma and the development of the Recovery Plan. During the process, a small team compiled and coded a database of meetings with non-HSOAC partners. The team was divided into sector teams that mirrored FEMA’s Recovery Support Functions. Each sector completed two surveys identifying high impact partners and their roles and contributions, as well as barriers and facilitators to partnerships.

A total of 1,382 engagements were recorded across all sectors over seven months. The most frequently identified high impact partners were federal and Puerto Rican governmental organizations partners. NGOs and nonprofits were noted as key partners in obtaining community perspective. Sector teams cited a lack of trust and difficulty identifying partners as barriers to partner engagement. Given the expedited nature of disaster response, establishing partnerships before disasters occur may help facilitate community input. Early networking, increased transparency and defining roles and responsibilities may increase trust and effectiveness among partnerships.

To our knowledge, this is one of the few studies that quantifies and illustrates the partnerships formed and their contributions during recovery planning, and lessons learned.