ayari88

Aya Rizk

Associate Professor

I am interested in studying data, including the challenges and opportunities they bring to businesses and societies. This includes both developing new data-driven innovations and understanding data-driven decision-making.

Digitalization and datafiction of organizations

My research interests span two main areas within the discipline of information systems: digital innovation and artificial intelligence (AI).

I am particularly interested in interdisciplinary research where one or both areas are leveraged to help organizations. For example, AI offers knowledge about methods and techniques to generate insights from machine-readable data, while digital innovation researchers and practitioners are increasingly looking at new ways of finding and assimilating new knowledge sources to inform their ideas and develop new services.

With the increasing availability of such data, data-driven innovation is one of my key research interests. I am also curious about understanding data-driven decision making (and automated decisions) and their impact on individuals, organizations and society.

In addition to studying data as an element of phenomena I study, I use it as an indispensable tool in informing my research results and turn to data science techniques in my analyses. Techniques such as clustering, association rules and topic modeling are examples of those in my toolbox towards theory development and validation.

CV

Positions

  • 2022-present Associate professor, Linköping University
  • 2021-2022 Postdoctoral Researcher, Luleå University of Technology
  • 2015-2020 PhD Student, Luleå University of Technology
  • 2013-2015 Senior Business Analyst, Zoser AG
  • 2010-2013 Advanced Analytics Consultant, Teradata
  • 2009-2010 Teaching Assistant, German University in Cairo

Degrees

Doctor of Philosophy (PhD), Information Systems (2020)
Title: Data-driven Innovation: An Exploration of Outcomes and Processes within Federated Networks
Department of Computer Science, Electrical and Space Engineering
Luleå University of Technology

Master of Sciences (M.Sc.), Business Informatics – (2012)
Title: Trajectory data analysis in support of understanding movement patterns: A data mining approach
Faculty of Management Technology
German University in Cairo

Other positions

2018-Present Board member and innovation advisor, Riteband AB

Research projects

2020-2022: Data-driven decision making (D3M) in operations and maintenance
Project financed under the Applied AI in Digital Innovation Hub North program with the aim of developing a data-driven decision making framework that maps and improves collaborative decision making between AI-recommended decisions and human-based domain specific decisions.
Financier: European regional development fund & the Swedish agency for economic and regional growth (Tillväxtverket)

2019-2021: Swedish Space Data Lab
Project financed under the Data Labs and Data Factories framework, aimed at establishing a national resource for the use of satellite data to drive innovation in earth-bound application areas.
Financier: Swedish innovation agency (Vinnova)

2017-2019: U4IoT

An H2020 Coordination and Support Action to support large-scale pilots of Internet of Things (IoT) implementations in five vertical sectors.
Financier: Horizon2020 – Grant Agreement 732078

2015-2018: OrganiCity
Co-creating smart cities of the future through Experimentation-as-a-Service (EaaS), utilizing Internet of Things (IoT) and open data technologies. Testbeds: London, Århus and Santander.
Financier: Horizon2020 – Grant Agreement number 645198

Publications

Teaching

Bachelor's programme in Information Systems Analysis

1. 726G83 – Information systems development
2. 725G88 – Qualitative methods in theory and practice
3. Bachelor thesis supervision

Master programme in IT och management:

1. 725A48 – Introduction to IT and management
2. 725A44 – Qualitative research in IT and management
3. 725A37 – Diagnosis and design of business and IT
4. Master thesis supervision

Coworkers

Organisation

News