Banking and Financial Services
Special Collection Call for Papers Data and AI policy systems and tools for times of crisis
Formatted :
Asia
Description
The Data Science Journal invites researchers, practitioners, policymakers, and stakeholders to contribute to a special collection of articles on Data and AI policy, systems, and tools for times of crisis. This special collection explores the challenges, opportunities, and innovative approaches related to data policy development and implementation to address crises, such as natural disasters, public health emergencies, humanitarian crises, or other disruptive events.
The collection seeks high-quality articles that address various aspects of data and AI policy as well as data and AI systems and tools for crisis situations, encompassing theoretical, empirical, and practical perspectives. We welcome submissions that examine the intersection of data science, policy, and crisis management, shedding light on the ethical, legal, social, and technical dimensions of data governance and utilization.
Overview
The primary objective of this special collection is to explore the transformative potential of data and AI policy in relation to data and AI systems and tools for crisis management and crisis governance while contributing to building a more resilient and data-driven world. In this context, the special collection will pursue the following specific objectives:
1.examining the scientific, political, and societal frameworks involved in data and AI policy addressing crisis situations;
2.exploring the underlying ethical, human rights, and humanitarian frameworks needed to support data and AI policy during crisis situations; and
3.supporting the development of systems, tools, and services that promote the responsible practice and use of data and AI when generating scientific evidence in crisis situations and guiding decision making in preparedness and response.
Overall this special collection will contribute to advancing knowledge and fostering effective data and AI policy frameworks as well as the data and AI science system and tools that can support decision-making, improve response efforts, and enhance the resilience of first responders and communities in times of crisis.
Content
Topics of interest for this special collection include the following:
1.Approaches to data and AI quality, data reliability, and data integrity during times of crisis
2.Policy frameworks for data management and sharing during crises
3.Data and AI governance models and institutional arrangements in the context of crises
4.Ethical considerations and guidelines for responsible data collection, analysis, and (re)use in crisis situations
5.Data privacy, security, and protection in crisis preparation, response, and recovery efforts
6.Consent for the use of data and AI in times of crisis
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What you get?
The CODATA Data Science Journal (DSJ) is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data.