Governance & Oversight.
Our research framework is guided by a commitment to Pedagogical Integrity. The Institute's advisory council ensures that all protocols align with both Montessori Principles and Global Privacy Standards. We prioritize a "Child-First" methodology, where scientific observation seamlessly integrates with, and respects, the educational environment. Every observation protocol gets reviewed before launch.
Board of Directors & Leadership - Who Runs This
Principal Investigator & Founder
Pavan Goyal
Credentials: AMI Diploma (0-18)
Oversees the longitudinal integrity of the 0-18 study. Holds rare complete AMI certification across all developmental planes.
View ProfileDirector of Pedagogy
Munira Hussain
Credentials: AMI Diploma / M.Ed
Ensures all research protocols integrate seamlessly with the Montessori curriculum without disrupting the "Children's House."
View ProfileResearch Council & Advisory Board
External experts who provide technical validation for student innovation and methodological oversight.
Technical Validation Advisor
Prof. AVR Srikar
Affiliation: IIT Hyderabad (Dept of Design)
Reviews TRL claims and engineering prototypes for the Space & Drone Labs.
Methodological Oversight Advisor
Prof. Apoorv Gogar
Affiliation: Indian School of Business
Reviews research design and business application frameworks for student innovation projects.
Technology Validation Advisor
Rahul Jindal
Affiliation: Director, Google
Provides technical review for software and systems architecture in student technology projects.
Industry Validation Advisor
Sucheth Davaluri
Affiliation: Vice-Chairman & CEO, Neuland Laboratories
Reviews commercialization pathways and industry-readiness of student innovations.
Enterprise Technology Advisor
Manish Gupta
Affiliation: Director, SAP
Evaluates scalability and enterprise integration potential of student technology solutions.
Aerospace Domain Advisor
Ronak Kumar
Affiliation: Founder, TakeMe2Space
Provides technical mentorship and validation for Space Lab projects including satellite and propulsion initiatives.
Research Team
Academic and operational researchers supporting longitudinal data integrity, STEM research modules, classroom-based documentation, and institutional research infrastructure across the 0–18 continuum.
STEM Research Lead | Palaeontology & Earth Sciences
Dr. Sreemoyee Chakraborty
Training: PhD, Palaeontology (ISI / University of Calcutta)
Leads fossil-based STEM research modules and scientific inquiry frameworks within the institute. Contributes domain expertise in paleoclimate interpretation, geological data modeling, and child-led scientific investigation design.
View ProfileMicrobiological & Biochemical Research Lead
Dr. Shobha Ediga
Training: PhD, Plant Sciences (University of Hyderabad)
Provides research oversight in biological sciences, laboratory methodologies, and adolescent-level scientific investigation. Supports integration of microbiology, biochemistry, and environmental inquiry within the Erdkinder research framework.
View ProfileAMI Elementary Guide | Biomimicry Educator
Sandhya Rao M
Training: AMI Elementary Diploma; M.P.T. Community-Based Rehabilitation
Integrates Montessori pedagogy with structured research documentation in the Elementary environment. Contributes to interdisciplinary observation protocols, developmental research alignment, and nature-integrated inquiry frameworks.
View ProfileResearch Team Lead — Pedagogy & Innovation
Sruthi Matta
Training: Graduate Diploma in Journalism (Concordia University); AEC Media Strategies & Advertising; B.A. Humanities
Leads research initiatives focused on pedagogy and innovation frameworks. Develops rapid-cycle micro-research protocols, interdisciplinary documentation models, and inquiry systems embedded within natural classroom environments.
View ProfileResearch & Data Analyst
Sreedhar Reddy Boddu
Training: B.Tech Civil Engineering (NIT Goa); Data Science & Analytics Certifications
Supports ETL processes, dashboard development, and structured data visualization for classroom observation records. Contributes to predictive modeling frameworks and KPI tracking within the institute's longitudinal dataset architecture.
View ProfileResearch Data Analyst Intern
D. Vinay Shyam Donakanti
Training: B.Tech Computer Science & Data Science
Supports digitization, coding, and structuring of Montessori observation records into standardized research datasets. Assists in data pipeline development, analytics documentation, and longitudinal data consistency across the 0–18 research archive.
View ProfileStandards & Protocols
Operating procedures derived from AMI principles and international research standards.
Micro-Research Design Standards
Boundedness: Every study must address a single, bounded research question.
Capture: Observations must be recordable in <5 minutes.
Duration: Data collection cycles must not exceed 3 weeks to prevent observer fatigue.
Continuity: Protocols must support longitudinal tracking across developmental planes.
Observer Reliability: All data collectors must meet inter-rater agreement thresholds before contributing to the dataset.
Privacy & Informed Consent
Enrollment Consent: All families sign comprehensive research waivers upon school entry.
Child Assent: Students aged 7+ are granted the "Right to Decline" participation without consequence.
Withdrawal: Parents maintain the right to withdraw data access at any time.
Data Anonymization: All published records use alphanumeric codes (Subject-1045-A, not names). Photos published only with separate photo consent and face obscuration. No re-identification pathway exists in public datasets.
Observer Standards & Reliability
Credential Requirement: All observers must hold a professional Montessori credential (AMI, AMS, or equivalent).
Environment Integration: Minimum 3 months working in the specific classroom before eligibility.
Training: Completion of BEOP Observer Training (8+ hours).
Reliability Threshold: ≥80% inter-rater agreement required.
Ongoing Calibration: Quarterly reassessment + annual ethics refresher.
Continuity & Panel Tracking
Panel Definition: Children tracked longitudinally across developmental phases.
Historical Linking: New observations connect to prior records.
Attrition Protocol: Exited students retain archived anonymized data.
Cross-Study Mapping: Internal identifiers enable longitudinal analysis without identity exposure.
Student IP Rights & Data Security
Student IP Rights
Sovereignty
Utility patents generated in the Innovation Labs are filed in the name of the student inventors.
Institute Role
The Institute acts as the "Facilitator" and funds the filing process but claims 0% ownership of student-generated IP.
Attribution
All student contributions to larger papers are cited as "Co-Authors," not subjects.
Data Security & Anonymization
K-Anonymity
All datasets are scrubbed of PII (Personally Identifiable Information). Names are replaced with alphanumeric codes (e.g., Subject-1045-A).
Visual Privacy
Faces in published documentation are obscured or digitized.
Storage
Longitudinal records are stored in an air-gapped internal server (The Data Wing), accessible only to the Principal Investigator and Lead Fellows.
The Research & Observation Team
Data collection is conducted by a dual-layer team, ensuring both pedagogical sensitivity and technical accuracy.
Embedded Research Fellows (AMI)
Who They Are
AMI-Certified Pedagogues.
Observation Focus
Developmental & Behavioral Data.
Function
They're the child's regular teacher, not a stranger with a clipboard. Children behave naturally because observation is invisible. The guide records observations during lunch or after school, never during work cycles.
Research Associates (Subject Experts)
Who They Are
Engineers, Data Scientists, and Domain Specialists.
Observation Focus
Performance & Competency Data.
Function
These experts conduct focused observations within the Innovation Labs. They track "External Output"—measuring engineering fidelity, failure recovery rates, and technical precision during high-stakes prototyping (e.g., Drone flight tests).
To apply for a Visiting Researcher position, please visit the Collaborate tab.