i-SRMRNInternational Systematic Review & Meta-Analysis Research Network (i-SRMRN)
A Global Collaborative Ecosystem for Evidence Synthesis, Mentorship & Publication
Bridging the gap between research education and scientific publication
20+
Expert Mentors
200+
Projects
150+
Publications
What is SRMRN?
The International Systematic Review & Meta-Analysis Research Network (i-SRMRN) is a global initiative of Institute of Health Economic and Policy Research (IHEPR) dedicated to evidence synthesis, systematic review writing, meta-analysis methodology, and scientific publication support across healthcare disciplines. It provides a collaborative platform where students, faculty, clinicians, statisticians, and institutions work together on high-quality evidence synthesis projects under expert mentorship
Our Vision
To become one of the world’s leading collaborative ecosystems for systematic review and meta-analysis research by empowering healthcare students, researchers, clinicians, and institutions through mentorship, innovation, and scientific publication.
Our Mission
- 01Bridging research education and scientific publication through responsible, AI-accelerated evidence synthesis
- 02Democratize access to systematic review and meta-analysis training globally
- 03Build structured mentorship and collaborative research opportunities
- 04Promote evidence-based healthcare research worldwide
- 05Support publication-focused academic growth
- 06Create global collaborations between institutions and researchers
- 07Establish a sustainable evidence synthesis ecosystem
Who Can Join
Students
Professionals
Organizations
Students
- MBBS Students
- MD/MS Residents
- PharmD Students
- BPharm & MPharm Students
- Nursing Students
- Public Health Scholars
- Allied Healthcare Students
- Biotechnology & Life Sciences Students
- PhD Scholars
Not on the list? This list is not exhaustive. Anyone who is passionate and interested in learning the domain is welcome to join.
Major Activities
A structured ecosystem focusing entirely on evidence synthesis and publication outcomes.
Live Research Projects
Systematic Reviews, Meta-Analyses, Scoping Reviews, Umbrella Reviews, Rapid Reviews, Network Meta-Analyses, Diagnostic Accuracy Reviews. AI-assisted screening and extraction workflows are deployed strictly under human oversight to accelerate project delivery without compromising academic rigor.
Workshops & Bootcamps
Introduction to SR & MA, PRISMA Guidelines, Literature Searching, RevMan Training, and R Programming. New AI Topics: AI-Assisted Screening (ASReview, Rayyan, Covidence), LLM Data Extraction (Elicit, GPT), Automated Bias Screening (RobotReviewer), AI Search Strategies, Prompt Engineering, and Compliance (RAISE standards).
Global Mentor Network
A worldwide network of students, professors, clinicians, biostatisticians, epidemiologists, medical writers, public health experts, and journal editors etc.
Institutional Collaborations
For workshops, Faculty Development Programs, Research Incubation, Publication Support, Collaborative Projects etc.
Publication Support
Manuscript Formatting, Statistical Review, Journal Selection & Submission, Peer Reviewer Response Support, Editing & Proofreading etc.
AI-Enabled Evidence Synthesis
Training and execution in AI-assisted literature screening, data extraction, and automated risk-of-bias assessment. Fully compliant with Cochrane and RAISE responsible-use standards.
Start Your First Research Project
Our mentored, publication-oriented projects are open to students and professionals worldwide. We are launching our first cohort soon. Express your interest and be part of the founding research teams etc.
Express InterestLimited spots available for the founding teams.
Faster Reviews. Zero Compromise on Rigor.
AI is fundamentally reshaping systematic reviews. We train researchers to execute AI-assisted screening, data extraction, and bias assessment accurately. Our methodology guarantees human oversight, total transparency, and strict adherence to the RAISE framework, ensuring your reviews remain publishable in top-tier journals.
Where AI Excels
Strategy building, abstract screening, extraction, and Risk of Bias (RoB).
The Tech Stack
Deep-dive training on the specific automation tools modern research demands.
Responsible Execution
Human accountability, zero hallucinations, and mandatory disclosure.
Why SRMRN Exists
Common challenges faced by students and early-career professionals:
Lack of practical training in systematic reviews and meta-analyses
Limited access to experienced mentors
Difficulty understanding PRISMA guidelines and research methodology
Absence of collaborative research opportunities
Limited statistical support for meta-analysis
Challenges in manuscript writing and journal submission
Poor access to international research networks
Limited training in responsible AI and automation for evidence synthesis.
The SRMRN Ecosystem
SRMRN was established to solve these gaps by creating a structured, mentorship-driven, publication-oriented global research ecosystem.
Why Choose SRMRN
Designed for outcomes. Every element of our ecosystem is structured to advance your research career from day one.
Practical Hands-On Learning
Work on real research projects, not just theory.
AI-Literate Research Training
Master the automation workflows and compliance standards required to publish modern evidence synthesis.
Publication-Oriented Training
Structured workflows designed specifically toward successful journal publication outcomes.
Global Collaboration & Networking
Build cross-disciplinary research networks with mentors and institutions worldwide.
Expert Mentorship
Guidance from experienced researchers, clinicians, biostatisticians, and journal editors.
Career Advancement
Enhance your research skills, academic CV, and professional visibility globally.
Collaboration Workflow
A transparent, six-step framework designed to take you from initial inquiry to measurable publication outcomes seamlessly.
Inquiry
Meeting
Proposal
MoU
Program Execution
Outcomes Tracking
Training & Programs
Join our global network of researchers in high-impact, live virtual and physical sessions.
AI Integrated Systematic Reviews & Meta-analysis Publications Workshop
Meet Our Founders
Dr. Ajit Singh
Founder & Director
"Clinical Research Scientist & Healthcare Innovator with expertise in Digital Health, AI, and Multidisciplinary Academic Leadership"
Dr. Richa Goyal
Founder & Director
"Global HEOR Strategist & Industry Leader driving market access, outcomes research, and international healthcare collaborations"
Our Collaborators
Trusted Institutional Network
Let’s Build Evidence Together
Select your inquiry type and you’ll be directed to our intake form. We respond within 48 hours.
Direct Email
info@srmrn.orgWe're here to help with:
Fill out our general intake form and our team will get back to you shortly.
Join Now