Burkhardt Funk

Professor

Leuphana University

Germany

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About

Burkhardt Funk is a Professor at Leuphana University in Germany. His research areas encompass digital health interventions, particularly utilizing natural language processing for cognitive-behavioral therapy, and machine learning in mental health contexts. Additionally, he investigates topics related to internet-based stress management, road condition monitoring, and the effectiveness of digital health applications.

Articles (12)

Year:

2025

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2024

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2023

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2023

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2023

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2022

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2021

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2021

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2021

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2021

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2020

Year:

2020

Collaborators (8)

Dirk Lehr

Professor

Leuphana University of Lüneburg

GERMANY

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Michelle Newman

Professor

Pennsylvania State University

UNITED STATES

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Heleen Riper

Professor

University of Amsterdam

NETHERLANDS

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Dawn Eichen

Assistant Adjunct Professor

University of California, San Diego

UNITED STATES

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Daniel Eisenberg

University of Michigan

UNITED STATES

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Barbara Nacke

Technische Universität Dresden

GERMANY

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David Loschelder

Professor of Business & Social Psychology

Leuphana University of Lüneburg

GERMANY

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Paul Drews

Professor

Leuphana University of Lüneburg

GERMANY

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Burkhardt Funk

Research Interests

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Contact this professor

About

Articles (12)

Capitalizing on natural language processing (NLP) to automate the evaluation of coach implementation fidelity in guided digital cognitive-behavioral therapy (GdCBT)

Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions

Finding the Best Match — a Case Study on the (Text-)Feature and Model Choice in Digital Mental Health Interventions

Understanding the first-offer conundrum: How buyer offers impact sale price and impasse risk in 26 million eBay negotiations

A universal digital stress management intervention for employees: Health-economic evaluation alongside a randomized controlled trial (Preprint)

Watch out, pothole! featuring road damage detection in an end-to-end system for autonomous driving

Effectiveness and Moderators of an Internet-Based Mobile-Supported Stress Management Intervention as a Universal Prevention Approach: Randomized Controlled Trial

Quality and Adoption of COVID-19 Tracing Apps and Recommendations for Development: Systematic Interdisciplinary Review of European Apps

Modeling the Quarter-Vehicle: Use of Passive Sensor Data for Road Condition Monitoring

Evaluating a Hybrid Web-Based Training Program for Panic Disorder and Agoraphobia: Randomized Controlled Trial

Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions: Machine Learning Approach

A Framework for Applying Natural Language Processing in Digital Health Interventions

Collaborators (8)

Dirk Lehr

Michelle Newman

Heleen Riper

Dawn Eichen

Daniel Eisenberg

Barbara Nacke

David Loschelder

Paul Drews

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