ASSOCIATE PROFESSOR · MARMARA UNIVERSITY

Tutku Tuncalı Yaman

From Data
to Knowledge.

Research across data analytics, decision systems, and digital archaeology.

My research explores how data can be transformed into reliable evidence and actionable knowledge. Drawing on quantitative methods and information systems, I investigate questions across organizational decision-making, artificial intelligence, and archaeological research.

Professional portrait of Tutku Tuncalı Yaman, wearing a white blouse in an academic office setting
QUANTITATIVE METHODSINFORMATION SYSTEMSCULTURAL HERITAGE

AN INTERDISCIPLINARY APPROACH

My work moves between methods and meaning, asking not only what data can reveal, but how we establish the reliability, context and consequentiality of what we know.

01 / RESEARCH

Research themes.

Three interconnected areas define my current research interests and methodological perspective.

01

Data Science &
Decision Systems

Statistical modeling, data mining, decision analytics, and the design and evaluation of information systems that support organizational decisions.

Quantitative methodsDecision support
02

Digital Archaeology &
Cultural Heritage

Archaeological information systems, spatial analysis, structured documentation, and the interpretation of complex cultural heritage data.

Archaeological dataSpatial analysis
03

AI, Evidence &
Knowledge Practices

Responsible AI, research transparency, uncertainty, and how data and computational tools shape the production and communication of knowledge.

AI governanceReproducibility

02 / PROJECTS

Selected research.

Examples of how these questions take shape through funded research, collaborative projects, and published methods.

01

COST ACTION · 2024–2028

Managing Artificial Intelligence in Archaeology (MAIA)

Participation in an international research network examining AI applications and responsible practice in archaeology.

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02

FUNDED RESEARCH · 2022–2025

Spatial Analysis of Archaeological Data at Mount Nif

Quantitative and spatial approaches for examining archaeological distributions and the implications of uncertainty for interpretation.

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03

PUBLISHED RESEARCH · 2024

Reliable Evidence from Pollen Counts

An interdisciplinary statistical contribution to minimum count assessment in fossil and modern pollen analysis.

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View all projects, excavations & networks

03 / PUBLICATIONS

Selected publications.

2026

AI maturity, governance and entrepreneurial success: evidence from incubators and accelerators in leading innovation economies

Asia Pacific Journal of Innovation and Entrepreneurship · ESCI · JCR Q2 (2025)

AI governance & organizational decision-making

DOI ↗
2026

Immunonutritional Indices, Inflammatory Markers, and Thyroid-Related Parameters in Adults with Hashimoto’s Thyroiditis

Nutrients · SCIE · JCR Q1 (2025)

Statistical analysis in interdisciplinary health research

DOI ↗
2026

Violence-Related Emergency Medical Services Encounters in the Anatolian Side of Istanbul: A Retrospective Registry-Based Study

Disaster Medicine and Public Health Preparedness · SCIE / SSCI · JCR Q3 (2025)

Population-scale health data & analytical evidence

DOI ↗
2024

A new approach to counting fossil and modern pollen grains: The orderly count

Review of Palaeobotany and Palynology · SCIE · JCR Q2 (2025)

Statistical reliability & evidence assessment

DOI ↗
2024

Chemical and mineralogical characterization of late chalcolithic pottery (ca. 3700–3300 BCE) from southwest Anatolia (Türkiye)

Journal of Archaeological Science: Reports · AHCI · Scopus SJR Q1 (2025)

Archaeological science & quantitative interpretation

DOI ↗
2023

Ideal Location Selection for Contactless Parcel Pick-Up Points

International Journal of the Analytic Hierarchy Process · Scopus

Fuzzy multi-criteria decision analysis & logistics

DOI ↗
2021

Pollen morphology of eight endemic Inula L. (Asteraceae) species in Turkey

Palynology · SCIE · JCR Q2 (2025, Paleontology)

Multivariate statistics & scientific classification

DOI ↗
View full publication list

05 / TEACHING

Building the capacity
to question.

I teach quantitative and information systems subjects with an emphasis on methodological reasoning, responsible research practice, and the critical interpretation of evidence.

SELECTED TEACHING AREAS

Data Mining ↗
Information Systems Project Management ↗
Quantitative Analysis for Decision Making ↗
Econometric Modeling & Analysis ↗
Digital Applications in Classical Archaeology ↗

06 / ABOUT

A research path
across disciplines.

I am an Associate Professor of Management Information Systems at Marmara University in Istanbul. My academic background spans econometrics, statistics, quantitative methods, and archaeology.

Across these fields, I am interested in the ways research methods, data infrastructures, and disciplinary contexts influence the evidence we produce and the decisions we make.

Institutional profile

06 / CONTACT

Questions, ideas,
collaborations.

For research inquiries and academic collaboration, please contact me through my university address.