Big Data & Society
Scope & Guideline
Unlocking Insights for a Data-Driven Society
Introduction
Aims and Scopes
- Critical Data Studies:
The journal emphasizes critical perspectives on data practices, exploring how data is produced, managed, and utilized across different sectors, including healthcare, policing, and social media. - Ethics and Governance of Data:
Research addressing the ethical implications and governance challenges associated with big data technologies and artificial intelligence is central, particularly concerning privacy, accountability, and bias. - Socio-Technical Interactions:
The journal investigates the socio-technical dimensions of big data, including how data technologies intersect with social structures, cultural practices, and power dynamics. - Interdisciplinary Approaches:
Big Data & Society encourages interdisciplinary methodologies, drawing insights from sociology, anthropology, political science, computer science, and more to understand the multifaceted nature of data. - Global Perspectives:
The journal includes research that examines data practices in a global context, particularly focusing on issues of coloniality, inequality, and the impact of data on marginalized communities. - Innovations in Data Technologies:
Exploration of emerging data technologies, including blockchain, AI, and machine learning, and their implications for society, governance, and ethical practices is a significant focus.
Trending and Emerging
- Data Activism and Justice:
There is an increasing focus on data activism, exploring how communities mobilize against data injustices and advocate for equitable data governance practices. - Algorithmic Accountability:
Research on the accountability of algorithms has surged, particularly concerning their role in decision-making processes in various sectors, including law enforcement, healthcare, and employment. - Participatory Approaches to Data Governance:
Emerging themes highlight the importance of participatory methods in data governance, emphasizing stakeholder engagement and co-design in developing data policies. - Impact of AI on Society:
The implications of artificial intelligence on social structures, including issues of bias, discrimination, and ethical considerations, are increasingly prominent in the journal's publications. - Environmental Data and Sustainability:
Research linking big data practices to environmental sustainability and climate change is becoming more prevalent, reflecting a growing awareness of the ecological implications of data. - Intersectionality in Data Studies:
There is a rising interest in intersectional analyses of data practices, exploring how race, gender, and socio-economic status intersect to shape data experiences and outcomes.
Declining or Waning
- Traditional Quantitative Methods:
There has been a noticeable decline in papers utilizing traditional quantitative methodologies in favor of qualitative and mixed-method approaches that emphasize critical analysis and context. - Narrowly Defined Technical Frameworks:
Research that strictly adheres to technical frameworks without considering socio-political implications is less frequently published, indicating a shift towards more integrative and critical perspectives. - General Data Analytics:
Papers focused on generic data analytics without a critical lens or societal implications are appearing less often, as the journal seeks to prioritize discussions that critically engage with the ethical and social dimensions of data. - Technology-Centric Narratives:
There is a reduction in technology-centric narratives that celebrate data technologies without critique, reflecting a growing focus on the critical examination of the societal impacts of these technologies. - Historical Data Analysis:
While historical perspectives remain relevant, there is a decreased emphasis on retrospective analyses of data practices in favor of forward-looking research that anticipates future implications.
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