Scholarly Communication

By: New Books Network
  • Summary

  • Discussions with those who work to disseminate research
    New Books Network
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Episodes
  • Your Reader Wants to Know the Point!
    Oct 14 2024
    Listen to this interview of Alessio Bucaioni, Associate Professor, Mälardalen University, Sweden. We talk about his coauthored paper Technical Architectures for Automotive Systems (ICSA 2020). Alessio Bucaioni : "For Conclusion sections, I like to cater to a reader approaching our paper who’s pressed for time. So, that means, I want to enable this reader to understand our work just by reading the Abstract, the Introduction, and the Conclusion. So, I try to get the Conclusion to bond well with the Abstract and the Introduction while at the same time adding extra information to the content in the Conclusion, for example, emphasizing even further the relevance of a particular contribution.” Learn more about your ad choices. Visit megaphone.fm/adchoices
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    57 mins
  • Research of the Broadest Impact: Investing Stakeholders' Stakes in the Outcomes of Your Study
    Oct 13 2024
    Listen to this interview of Enxhi Ferko, PhD student, and Alessio Bucaioni, Associate Professor — both at Mälardalen University, Sweden. We talk about their coauthored paper Standardisation in Digital Twin Architectures in Manufacturing (ICSA 2023). Enxhi Ferko : "What really pleases me about this study is, sure, our contributions have proven interesting and useful to both academics and practitioners. But we were happy to reach, as well, even a third group of stakeholders, namely, the people involved in this particular standardization body. And that’s because this ISO standard is quite new, and so, it’s expected to evolve in an iterative feedback process, of which now our work is forming a constructive part!” Learn more about your ad choices. Visit megaphone.fm/adchoices
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    1 hr and 11 mins
  • Specialization in Research = Excellence in Communication
    Oct 11 2024
    Listen to this interview of Dimitrios Tsoukalas, Postdoctoral Researcher at the Information Technologies Institute of the Centre for Research and Technology Hellas (CERTH), Greece; and Alexander Chatzigeorgiou, Professor and Vice Rector, University of Macedonia, Greece. We talk about their two coauthored papers, Machine Learning for Technical Debt Identification, and Local and Global Explainability for Technical Debt Identification. Alexander Chatzigeorgiou : "I think that it is important in every research endeavor — regardless of whether or not the outcome is what you expected at the start — to outline all steps of the journey for the reader. Because, you can’t know, there might be something in there that’s intriguing for someone, something that inspires further research in some other domain — what I mean to say is, the problem which you (the authors) have decided is unfeasible may actually have an answer which some reader can provide from their own area of expertise.” Link to Tsoukalas et al. Machine Learning for Technical Debt Identification (TSE 2022) Link to Tsoukalas et al. Local and Global Explainability for Technical Debt Identification (TSE 2024) Learn more about your ad choices. Visit megaphone.fm/adchoices
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    1 hr and 5 mins

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