FDP on Systematic Review, Meta-analysis, Bibliometrics, and Responsible AI in Scientific Research
Date: 16-22 February 2026
Venue: Institute of Development Studies Kolkata, Salt Lake, Kolkata, West Bengal, India
The Institute of Development Studies Kolkata (IDSK), the Indian Statistical Institute (ISI), Kolkata, and Presidency University, Kolkata jointly invite applications from scholars, faculty members, and postgraduate students from all disciplines for a seven-day Workshop-cum-Faculty Development Programme on Systematic Review, Meta-analysis, Bibliometrics, and Responsible AI in Scientific Research, scheduled for 16–22 February 2026.
Objectives:
The programme is designed to strengthen the methodological competencies of early-career researchers in systematic review, meta-analysis, and bibliometric techniques, with a focus on open-source analytical environments. It integrates training in scientific writing, research integrity, and responsible AI to support transparent and high-quality scholarly communication. Participants will receive hands-on training in data management, analysis, and visualisation. The curriculum introduces structured and reproducible review methodologies aligned with PRISMA standards, including protocol development, advanced search strategies, data extraction, critical appraisal, effect size estimation, and research mapping. Training will incorporate R- and Python-based workflows, VOSviewer, Biblioshiny, ASReview, and other open platforms to promote openness, reproducibility, and robust research practices.
Target Participants: This intensive, hands-on, and methodology-driven programme is designed to strengthen participants' competencies in PRISMA-aligned systematic reviews, meta-analytic techniques, and bibliometric research mapping, using open-source tools and reproducible workflows. A distinctive feature of the FDP is its strong emphasis on Responsible AI, research integrity, and transparent scholarly communication, addressing contemporary challenges in evidence synthesis.The workshop is intended for the faculty members, doctoral researchers, and postgraduate students including those preparing for doctoral enrolment, as well as independent researchers across STEM fields, medicine and public health, social sciences, business studies, and interdisciplinary domains. Librarians, information professionals, data stewards, and practitioners engaged in evidence synthesis, research evaluation, or research support services are also encouraged to apply. No prior experience is required, although basic familiarity with research design will be helpful.
Objectives:
The programme is designed to strengthen the methodological competencies of early-career researchers in systematic review, meta-analysis, and bibliometric techniques, with a focus on open-source analytical environments. It integrates training in scientific writing, research integrity, and responsible AI to support transparent and high-quality scholarly communication. Participants will receive hands-on training in data management, analysis, and visualisation. The curriculum introduces structured and reproducible review methodologies aligned with PRISMA standards, including protocol development, advanced search strategies, data extraction, critical appraisal, effect size estimation, and research mapping. Training will incorporate R- and Python-based workflows, VOSviewer, Biblioshiny, ASReview, and other open platforms to promote openness, reproducibility, and robust research practices.
Target Participants: This intensive, hands-on, and methodology-driven programme is designed to strengthen participants' competencies in PRISMA-aligned systematic reviews, meta-analytic techniques, and bibliometric research mapping, using open-source tools and reproducible workflows. A distinctive feature of the FDP is its strong emphasis on Responsible AI, research integrity, and transparent scholarly communication, addressing contemporary challenges in evidence synthesis.The workshop is intended for the faculty members, doctoral researchers, and postgraduate students including those preparing for doctoral enrolment, as well as independent researchers across STEM fields, medicine and public health, social sciences, business studies, and interdisciplinary domains. Librarians, information professionals, data stewards, and practitioners engaged in evidence synthesis, research evaluation, or research support services are also encouraged to apply. No prior experience is required, although basic familiarity with research design will be helpful.
Intake Capacity: 30 (Thirty)
How to Apply:
Applications must be submitted through the following link: https://forms.gle/4rCQbHPHty6mZoeC7. Selected applicants will be required to pay the registration fee (Payment details will be shared with selected participants in due course). Registration Fee: INR 4,499/- for Faculty and Working Professionals; INR 3,999/- for Scholars, Students, and Others. What we provide: Workshop Kits; Tea/coffee and Lunch on all seven days; Certificate of participation. Note: Participants should bring their own laptops. Accommodation: Participants must arrange their own accommodation; however, assistance in getting nearby options can be provided upon request.
Participants are encouraged to come with a research idea and leave with a near-submission-ready manuscript, supported through structured protocol development, advanced search strategies, data extraction, critical appraisal, effect size estimation, and visualization. Selected participants will also have the opportunity to contribute chapters to an edited volume with Routledge/Springer, subject to scholarly quality and thematic alignment.
Last date for application: 06 February 2026
