My Projects Overview

Science, Technology, and Innovation Analysis

Involves mapping scientific and technological activities, analyzing innovation systems, and supporting decision-making in science and technology development.

INNOSDG: Mapping Sustainable Development Activity

By employing advanced bibliometric and data-driven methodologies, the project provided actionable insights to guide sustainable innovation and policy development.

BIGPROD: Addressing Productivity Paradox with Big Data.

EU Funded project project explored the productivity paradox associated with big data by examining its implications for policymaking and organizational performance. By combining bibliometric and qualitative analyses, the project identified strategies to leverage big data for enhanced productivity and informed decision-making in various policy and business contexts.

GENDER STI: Gender Equality in Science, Technology, and Innovation Dialogues

EU-funded project focused on promoting gender equality in science, technology, and innovation through bilateral and multilateral dialogues. It conducted a large-scale analysis of technological and scientific artifacts and quantitatively developed an indicator to study the evolution of scientific endeavors from a gender perspective.

Data and AI for Strategic and Business Innovation

This theme emphasizes the use of data-driven approaches and AI to enhance business productivity, analyze global trends, and explore future work dynamics.

Use of AI Tools and its Impact on the Future of Work

This study examines the productivity and displacement effects of AI adoption in knowledge-intensive industries through a large-scale workforce survey. Conducted in collaboration with Tekniikan Akateemiset TEK, the survey captures evolving perceptions of AI’s utility, ethical risks, job security impacts, and organizational policies.

INNOPACT: Advanced Methods for Impact Assessment

Project focused on developing advanced methods for assessing the impact of technological and business experimentation. By combining quantitative and qualitative approaches, the project provided tools and frameworks to evaluate innovation outcomes, guiding businesses and policymakers in fostering impactful and sustainable innovations.

DigiHealth: Data-Driven Horizon Scanning in Healthcare

Advanced AI/LLM methods and toolkits were applied to analyze scientific, technological, and market dynamics in the healthcare sector, providing foresight into emerging trends and their significance. The approach processed hundreds of thousands of data points, consolidating insights into 47 key topics grouped under Data Management, Diagnostics, Patient Engagement, and Treatment.

Sustainability, Circular Economy, and Public Policy

This cluster focuses on sustainability, circular economy practices, and public policy innovation, highlighting AI oriented methodologies and tools to foster societal and environmental well-being.

4Growth: Digital Agriculture and Forestry

This study examines the productivity and displacement effects of AI adoption in knowledge-intensive industries through a large-scale workforce survey. Conducted in collaboration with Tekniikan Akateemiset TEK, the survey captures evolving perceptions of AI’s utility, ethical risks, job security impacts, and organizational policies.

VN TEAS: Public Procurement Volume and Data Utilization

Project focused on developing advanced methods for assessing the impact of technological and business experimentation. By combining quantitative and qualitative approaches, the project provided tools and frameworks to evaluate innovation outcomes, guiding businesses and policymakers in fostering impactful and sustainable innovations.

ORIENTING: Operational Life Cycle Sustainability Assessment Methodology

Advanced AI/LLM methods and toolkits were applied to analyze scientific, technological, and market dynamics in the healthcare sector, providing foresight into emerging trends and their significance. The approach processed hundreds of thousands of data points, consolidating insights into 47 key topics grouped under Data Management, Diagnostics, Patient Engagement, and Treatment.