Evolving interdisciplinary contributions to global societal challenges: A 50-year overview

• URL: http://arxiv.org/abs/2410.20619v1
• Date: Sun, 27 Oct 2024 22:36:36 GMT
• Title: Evolving interdisciplinary contributions to global societal challenges: A 50-year overview
• Authors: Keisuke Okamura,
• Abstract summary: In recent decades, interdisciplinary collaboration has been recognised as a vital driver of innovation and effective problem-solving. This study examines the long-term evolution of interdisciplinary contributions to the United Nations' Sustainable Development Goals.
• Score: 0.0
• License:
• Abstract: Addressing global societal challenges necessitates insights and expertise that transcend the boundaries of individual disciplines. In recent decades, interdisciplinary collaboration has been recognised as a vital driver of innovation and effective problem-solving, with the potential to profoundly influence policy and practice worldwide. However, quantitative evidence remains limited regarding how cross-disciplinary efforts contribute to societal challenges, as well as the evolving roles and relevance of specific disciplines in addressing these issues. To fill this gap, this study examines the long-term evolution of interdisciplinary contributions to the United Nations' Sustainable Development Goals (SDGs), drawing on extensive bibliometric data from OpenAlex. By analysing publication and citation trends across 19 research fields from 1970 to 2022, we reveal how the relative presence of different disciplines in addressing particular SDGs has shifted over time. Our results also provide unique evidence of the increasing interconnection between fields since the 2000s, coinciding with the United Nations' initiative to tackle global societal challenges through interdisciplinary efforts. These insights will benefit policymakers and practitioners as they reflect on past progress and plan for future action, particularly with the SDG target deadline approaching in the next five years.

Related papers

• The role of broadband connectivity in achieving Sustainable Development Goals (SDGs) [0.0]
  Recent studies have investigated the role of broadband in addressing the SDGs. We make four key recommendations on broadband sustainability research to fast-track achievement by 2030.
  arXiv  Detail & Related papers  (2024-10-31T00:24:32Z)
• The overlooked need for Ethics in Complexity Science: Why it matters [0.0]
  We highlight the critical absence of formal guidelines, dedicated ethical committees, and widespread discussions on ethics within the complexity science community. Our recommendations include (i) initiating supportive mechanisms to develop ethical guidelines specific to complex systems research, (ii) creating open-access resources, and (iii) fostering inclusive dialogues. By initiating this dialogue, we aim to encourage a necessary shift in how ethics is integrated into complexity research, positioning the field to address contemporary challenges more effectively.
  arXiv  Detail & Related papers  (2024-09-03T15:48:24Z)
• Oil & Water? Diffusion of AI Within and Across Scientific Fields [1.4576074392895075]
  We investigate claims of the increasing ubiquity of artificial intelligence within roughly 80 million research publications across 20 diverse scientific fields. We observe exponential growth, with AI-engaged publications increasing approximately thirteenfold (13x) across all fields. While this broadening engagement suggests a move toward greater disciplinary integration in every field, increased ubiquity is associated with a semantic tension between AI-engaged research and more traditional disciplinary research.
  arXiv  Detail & Related papers  (2024-05-24T00:39:32Z)
• Now, Later, and Lasting: Ten Priorities for AI Research, Policy, and Practice [63.20307830884542]
  Next several decades may well be a turning point for humanity, comparable to the industrial revolution. Launched a decade ago, the project is committed to a perpetual series of studies by multidisciplinary experts. We offer ten recommendations for action that collectively address both the short- and long-term potential impacts of AI technologies.
  arXiv  Detail & Related papers  (2024-04-06T22:18:31Z)
• A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond [84.95530356322621]
  This survey presents a systematic review of the advancements in code intelligence. It covers over 50 representative models and their variants, more than 20 categories of tasks, and an extensive coverage of over 680 related works. Building on our examination of the developmental trajectories, we further investigate the emerging synergies between code intelligence and broader machine intelligence.
  arXiv  Detail & Related papers  (2024-03-21T08:54:56Z)
• Academic competitions [61.592427413342975]
  This chapter provides a survey of academic challenges in the context of machine learning and related fields. We review the most influential competitions in the last few years and analyze challenges per area of knowledge. The aims of scientific challenges, their goals, major achievements and expectations for the next few years are reviewed.
  arXiv  Detail & Related papers  (2023-12-01T01:01:04Z)
• Responsible AI Considerations in Text Summarization Research: A Review of Current Practices [89.85174013619883]
  We focus on text summarization, a common NLP task largely overlooked by the responsible AI community. We conduct a multi-round qualitative analysis of 333 summarization papers from the ACL Anthology published between 2020-2022. We focus on how, which, and when responsible AI issues are covered, which relevant stakeholders are considered, and mismatches between stated and realized research goals.
  arXiv  Detail & Related papers  (2023-11-18T15:35:36Z)
• On the importance of AI research beyond disciplines [7.022779279820803]
  It is crucial to embrace interdisciplinary knowledge to understand the impact of technology on society. The goal is to foster a research environment beyond disciplines that values diversity and creates, critiques and develops new conceptual and theoretical frameworks.
  arXiv  Detail & Related papers  (2023-02-13T19:39:37Z)
• Fairness in Recommender Systems: Research Landscape and Future Directions [119.67643184567623]
  We review the concepts and notions of fairness that were put forward in the area in the recent past. We present an overview of how research in this field is currently operationalized. Overall, our analysis of recent works points to certain research gaps.
  arXiv  Detail & Related papers  (2022-05-23T08:34:25Z)
• Learnings from Frontier Development Lab and SpaceML -- AI Accelerators for NASA and ESA [57.06643156253045]
  Research with AI and ML technologies lives in a variety of settings with often asynchronous goals and timelines. We perform a case study of the Frontier Development Lab (FDL), an AI accelerator under a public-private partnership from NASA and ESA. FDL research follows principled practices that are grounded in responsible development, conduct, and dissemination of AI research.
  arXiv  Detail & Related papers  (2020-11-09T21:23:03Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.