Home DBCE News & Events DBCE R&D Committee Organizes Talk on Digital Research Tools and AI

DBCE R&D Committee Organizes Talk on Digital Research Tools and AI

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The Research & Development (R&D) Committee of Don Bosco College of Engineering (DBCE) organized an insightful research talk titled “Digital Research Tools for Literature Review, Data Analysis and Academic Publishing” on April 29, 2026. The session, which drew around 50 attendees, aimed to update researchers and faculty members on how modern digital ecosystems are streamlining the academic workflow.

The program commenced with a floral welcome extended to the guest speaker, Dr. Neena Goveas (Professor, Department of CS&IS, BITS Goa), by Dr. Shwetha P, Chairperson of the R&D Committee.

Key Highlights of the Session

Dr. Neena Goveas provided a comprehensive overview of the modern, non-linear research lifecycle, emphasizing how interoperable tools seamlessly connect data discovery, analysis, and final writing. The key areas covered during the session included:

  • Literature Review & Reference Management: Strategies for using advanced platforms for literature searches, visualization maps, and reference management software to organize academic papers efficiently.
  • Data Analysis Ecosystems: A look into AI-assisted data analysis and processing using popular software such as R, Python, and SPSS, alongside dedicated tools for qualitative research.
  • Academic Publishing & Open Science: Guidance on choosing the right academic writing tools, leveraging journal selection platforms, and embracing open science practices to boost research visibility.

The Role of Generative AI and Ethics

A major highlight of the seminar was the discussion surrounding the evolving role of Generative AI acting as a research assistant. Dr. Goveas detailed how AI can be productively employed for text summarization, coding, and language editing.

However, she strongly emphasized the critical need for responsible AI usage, highlighting core ethical considerations such as:

  1. Ensuring complete transparency when using automated tools.
  2. Rigorously verifying all AI-generated outputs to prevent misinformation.
  3. Maintaining strict data privacy and security protocols throughout the research phase.

The successful event concluded with an interactive Q&A session, leaving the 50 participants equipped with practical knowledge to enhance their overall research quality and publishing productivity.

 

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