Aleksandra Irnazarow

Aleksandra Irnazarow

Profile

I work on the intersection between social sciences and new technologies. I'm completing a doctoral degree investigating how engineers and designers understand and create complex systems, how they collaborate and make decisions, and what role technology plays in their decision making. In my new role as a Research Fellow in Data Analytics, I study how data analytics and algorithmic tools are integrated into decision making within public sector organisations.

Throughout my PhD, I’ve engaged extensively with industrial organisations through collaborating with a food processing manufacturer to design a system of sharing engineering knowledge across the company's global operations, and through conducting a research inquiry into complex decision making in a major power systems manufacturer. My research experience acquired both in academia and industry evidence strong analytical and problem-solving skills. I excel at working across disciplinary boundaries and am experienced in communicating complex ideas, writing, presenting and collaboration in diverse teams. 

I hold a Masters in Comparative Business Economics from University College London where I studied determinants of innovation and technological change in European companies. My undergraduate studies in Psychology and Economics sparked a lifelong interest in human behaviour and social complexity. Before starting my PhD I’ve worked as research assistant on a variety of publicly funded projects including a research into face perception and recognition of emotions in MRC Cognition and Brain Sciences Unit, University of Cambridge, a preliminary trial of anti-alcohol addiction drug sponsored by University of Glasgow Chancellors Fund, and an evaluation of employability initiatives and work-related learning policies in Scotland through Aiming University Learning @ Work Project. I also have industry experience through working with a biotechnology company as a data and database specialist.

Thesis summary

Aleksandras PhD project titled Collaborative Information Behaviour and Decision Making in Product Development is sponsored by the UK Economic and Social Research Council (ESRC). It examines the relationship between collaborative practices, information behaviour and technology in high-value engineering and industrial design fields through focusing on questions relating to how teams of professionals make decisions and the role that technology plays in their decision making. 

Prize/Awards

Winner of The Tom Lupton Prize: Best Doctoral Oral Presentation, The White Rose Social Science Doctoral Training Centre (WRDTC) Management and Business, Accounting and Finance, and Work Psychology Pathway Conference 2017

Research interests

My research interests centre on decision making, emerging collaborative practices, and technology use in the design and development of complex products and services. I’m interested in using socio-technical approaches to solve wicked problems, where the problem is not well-defined or understood. As well as this, I’m interested in the use of Activity Theory to understand contradictions and change within complex organisational and institutional environments.

Qualifications

  • PhD Candidate in Management, University of Leeds (due in 2019)
  • MA Comparative Business Economics, University College London, London, UK, 2012
  • MA Economics and Psychology (Joint Honours), University of Glasgow, Glasgow, UK, 2010

Research groups and institutes

  • Adaptation Information Management and Technology