Anna Hanchar

Anna Hanchar is a highly accomplished professional with extensive experience in interdisciplinary research and project management. She is the Co-Founder, Researcher, and Consultant at The Data Atelier, a company she helped establish.1

Professional Background

Anna has 11 years of applied interdisciplinary research and project management experience spanning academia, industry, and the non-profit sector.3 Her expertise lies in several key areas:

• Social Science Research: Anna is a skilled social science researcher with a strong background in strategic management.
• Data Analytics: She has explored advanced data analytics, natural language processing, machine learning, and innovative visualization techniques.
• SenseMaker Practitioner: Anna has significant experience with the SenseMaker approach, collaborating with organizations like Cognitive Edge and Narrate.

Education and Academic Experience

Anna's academic credentials are impressive:

• She holds a PhD in Strategic Management from Trinity College, University of Dublin.
• She pursued a Postgraduate Diploma in Statistics from the same institution.
• Anna has worked as a Researcher at Trinity College and as a Lecturer/Tutor at the School of Business, Trinity Access Programme (TAP).

Research Interests

Anna's research interests are diverse and impactful:

• Citizen engagement
• Women's empowerment
• Minority inclusion
• Refugee integration
• Youth employment
• Healthcare delivery
• Capacity strengthening

Publications

Anna has contributed to academic literature, with notable publications including:

• "Data innovation for international development: An overview of natural language processing for qualitative data analysis" (2017)24
• "Exploring the Role of Trade Associations in Industry Evolution: Banking and Motor Industries in Ireland" (2011)2

Current Role

At The Data Atelier, Anna serves as Co-Founder, Principal Consultant, and Researcher.1 In this capacity, she applies her extensive knowledge and experience to various projects, focusing on context-sensitive, multi-level decision-making approaches that benefit organizations quickly.