Struggling to Connect: A Researchers'Reflection on Networking in Software Engineering

📅 2026-01-15
📈 Citations: 0
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🤖 AI Summary
This study addresses how structural inequities—such as geographic location, immigration status, language proficiency, and gender—constrain software engineering researchers’ ability to build academic networks, thereby limiting their scholarly visibility and career advancement. Moving beyond individualistic explanations that frame networking as a matter of personal skill, the paper employs a literature review and qualitative reflection to foreground systemic barriers and uncover hidden impediments. It proposes a paradigm shift toward community-driven approaches, specifically advocating for an “expert voice” mechanism that prioritizes collective support over individual effort. By centering inclusive practices, this work offers both theoretical grounding and actionable strategies to enhance diversity, equity, and inclusion in software engineering research communities.

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📝 Abstract
Networking is central to the growth and visibility of software engineering research and researchers. However, opportunities and capacities to build such networks are not easily identified and often are unevenly distributed. While networking is often viewed as an individual skill, a researchers workplace, culture and environment significantly influence their motivation and, consequently, the networks they form. This paper explores how factors such as country of residence, immigration status, language, gender, and surrounding context affect researchers'ability to establish professional connections and succeed within the global research ecosystem. Drawing on existing literature and personal experience, this reflective report examines the often-invisible barriers to networking and advocates for a community-driven"expert voice"initiative to acknowledge and address these inequities.
Problem

Research questions and friction points this paper is trying to address.

networking
inequity
software engineering research
professional connections
research ecosystem
Innovation

Methods, ideas, or system contributions that make the work stand out.

networking inequity
community-driven initiative
expert voice
structural barriers
research visibility
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