Hamideh Saadatmanesh


I am a Marie Skłodowska-Curie early stage researcher (ESR 13) within the LNETN project. My research theme is 'Legitimation of Newness in Modern and Traditional Contexts'.

In my PhD research, I explore how new business ecosystems and human-centric personal data co-emerge and are co-legitimated. The research will study emergence and legitimation of practices, dynamics, and business models of the new business ecosystems in the context of new market of human-centric personal data. It will enhance understanding of traditional and new, modern institutions, opportunities, barriers, practices, and business models that can be identified within and across newlly emergent ecosystems.

Technical Skills
• Programming Languages: Python
• Data Analysis: Numpy, Pandas, Statsmodels, SciPy
• Data Visualization: Matplotlib, Plotly, Seaborn
• Machine Learning: Sk-learn, Keras, Tensorflow
• Database Management: MongoDB
• DevOps & MLOps: GitHub
• Communication: Slack, MS Teams, Zoom, Webex


Research interests

  • Digital Ecosystems
  • Digital Business Models (AI / IoT / Blockchain / Cyber-security / Cloud-driven business models)
  • Digital Platforms
  • Data Science & Big Data Analytics & Quality Assurance
  • Data / AI-driven Decision Making
  • Quantitative Marketing (Big Data Marketing)
  • Social Network Analysis

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