Skip to menu Skip to content Skip to footer
Associate Professor

Ida Asadi Someh

Email: 
Phone: 
+61 7 334 64479

Overview

Background

Dr Ida Asadi Someh is an Associate Professor at the University of Queensland Business School, where her research helps organizations and senior executives lead effectively with data and artificial intelligence. Her work focuses on how organizations build enterprise‑wide capabilities around data and AI, including data democracy, AI governance, and value creation at scale. She provides executives with practical, research‑grounded guidance on how to design organizational structures, processes, and decision rights that enable data and AI to improve performance without creating hidden risk. A core focus of her work is close scrutiny of how data and AI systems can quietly generate risk and injustice, and how organizations can design governance, oversight, and control mechanisms that keep humans meaningfully in charge as these systems scale.

A defining feature of her profile is direct translation for executives. Over the past decade, Dr Asadi Someh has maintained a close research collaboration with the MIT Sloan Center for Information Systems Research, producing a large body of executive‑focused research outputs grounded in in‑depth case studies of real organizations implementing data and AI at scale. Her empirical work spans more than 60 cases across the public and private sectors, including organizations such as Microsoft, GE, Cemex, BBVA, Johnson & Johnson, Siemens, SAP, the Australian Taxation Office, and major public‑sector agencies. These cases examine how organizations actually govern data and AI in practice, how they build explanation capability, scale enterprise AI, redesign work, and manage the organizational tensions that arise between innovation, accountability, and public trust.

Dr Asadi Someh’s reseach has been published in leading journals such as Journal of Association for Information Systems, European Journal of Information Systems, Journal of Strategic Information Systems, Journal of Information Technology, MIT Sloan Management Review, and MIS Quarterly Executive. Her publications have received numerous prestigious awards, including the AIS Senior Scholar Best IS Publication Award, the Stafford Beer Medal, the Paul Gray Award for the most thought‑provoking paper, Society of Information Management Best Case competition and research impact awards.

Alongside her research, Dr Asadi Someh is a passionate educator committed to developing the next generation of data leaders. She is deeply motivated by the belief that data, analytics, and AI should be accessible to everyone. She led the redesign and launch of the University of Queensland’s Master of Business Analytics with the explicit aim of building data savviness across the business profession and equipping graduates to lead confidently in data‑ and AI‑driven organizations.

Finally, Dr Asadi Someh co‑leads the Emerging Technology Research Hub at UQ Business School, bringing together researchers, industry, and policymakers to generate evidence‑based insights on how emerging technologies that reshape organisations, markets, and governance, and how they can be translated into sustainable business and economic value.

Availability

Associate Professor Ida Asadi Someh is:
Available for supervision

Qualifications

  • Doctor of Philosophy, University of Melbourne

Research interests

  • Business Analytics

    The goal of this research is to help organizations create value from business analytics systems. This research focuses on the use and value of data for decision making as well as data governance to better manage the risks associated with data-driven decision making.

  • Big Data and Society

    This research explores the impact of big data and artificial intelligence on society. It particularly focuses on issues related to ethics, privacy and accountability as data and algorithms become pervasively used for decision making. The goal of this research is to create pathways to better distribute the value of data-driven services between various stakeholders.

  • Business Value of IT

    The goal of this research is to help organizations maximise the value from their IT investments. It includes explaining how value is created as well as approaches to measure the impact of IT.

Works

Search Professor Ida Asadi Someh’s works on UQ eSpace

62 works between 2013 and 2026

21 - 40 of 62 works

2022

Other Outputs

Building advanced data monetization capabilities for the AI-powered organization

Wixom, Barbara, Someh, Ida and Beath, Cynthia (2022). Building advanced data monetization capabilities for the AI-powered organization. MIT CISR Research Briefing Boston, MA, United States: MIT.

Building advanced data monetization capabilities for the AI-powered organization

2022

Other Outputs

Building Artificial Intelligence capability in the public sector

Rinta-Kahila, Tapani, Someh, Ida, Indulska, Marta and Ryan, I. (2022). Building Artificial Intelligence capability in the public sector. SAP Thought Leadership Paper: Public Sector Brisbane, Australia; Canberra, Australia: The University of Queensland; SAP Institute for Digital Government. doi: 10.14264/91738b9

Building Artificial Intelligence capability in the public sector

2022

Other Outputs

Microsoft’s AI scaling journey for occupancy prediction

Wixom, Barbara, Someh, Ida, Ionescu, Ramona and Leidner, Dorothy E. (2022). Microsoft’s AI scaling journey for occupancy prediction. MIT CISR Working Paper: Case Study Boston, MA, United States: Massachusetts Institute of Technology (MIT).

Microsoft’s AI scaling journey for occupancy prediction

2022

Journal Article

Information resilience: the nexus of responsible and agile approaches to information use

Sadiq, Shazia, Aryani, Amir, Demartini, Gianluca, Hua, Wen, Indulska, Marta, Burton-Jones, Andrew, Khosravi, Hassan, Benavides-Prado, Diana, Sellis, Timos, Someh, Ida, Vaithianathan, Rhema, Wang, Sen and Zhou, Xiaofang (2022). Information resilience: the nexus of responsible and agile approaches to information use. The VLDB Journal, 31 (5), 1059-1084. doi: 10.1007/s00778-021-00720-2

Information resilience: the nexus of responsible and agile approaches to information use

2022

Journal Article

Building an artificial intelligence explanation capability

Someh, Ida, Wixom, Barbara H., Beath, Cynthia M. and Zutavern, Angela (2022). Building an artificial intelligence explanation capability. MIS Quarterly Executive, 21 (2), 143-163. doi: 10.17705/2msqe.00063

Building an artificial intelligence explanation capability

2021

Other Outputs

Scaling AI to generate better and different outcomes

Wixom, Barbara H., Someh, Ida A. and Gregory, Robert W. (2021). Scaling AI to generate better and different outcomes. MIT CISR Research Briefing Cambridge, MA, United States: Massachusetts Institute of Technology.

Scaling AI to generate better and different outcomes

2021

Journal Article

Algorithmic decision-making and system destructiveness: a case of automatic debt recovery

Rinta-Kahila, Tapani, Someh, Ida, Gillespie, Nicole, Indulska, Marta and Gregor, Shirley (2021). Algorithmic decision-making and system destructiveness: a case of automatic debt recovery. European Journal of Information Systems, 31 (3), 1-26. doi: 10.1080/0960085X.2021.1960905

Algorithmic decision-making and system destructiveness: a case of automatic debt recovery

2021

Conference Publication

Value creation from data - Why is this a BPM problem?

Sadiq, Shazia, Someh, Ida Asadi, Chen, Tianwa and Indulska, Marta (2021). Value creation from data - Why is this a BPM problem?. International Workshop on BPM Problems to Solve Before We Die (PROBLEMS 2021) co-located with the 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, 6-10 September, 2021. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen.

Value creation from data - Why is this a BPM problem?

2021

Journal Article

Putting dignity at the core of employee data use

Leidner, Dorothy, Tona, Olgerta, Wixom, Barb and Someh, Ida (2021). Putting dignity at the core of employee data use. MIT Sloan Management Review, 1-5.

Putting dignity at the core of employee data use

2021

Other Outputs

Make dignity core to employee data use

Tona, Olgerta, Leidner, Dorothy, Ionescu, Ramona, Wixom, Barbara and Someh, Ida (2021). Make dignity core to employee data use. MIT CISR Research Briefing Boston, MA, United States: MIT.

Make dignity core to employee data use

2021

Conference Publication

A review of trust in artificial intelligence: challenges, vulnerabilities and future directions

Lockey, Steven, Gillespie, Nicole, Holm, Daniel and Someh, Ida Asadi (2021). A review of trust in artificial intelligence: challenges, vulnerabilities and future directions. Hawaii International Conference on System Sciences , Honolulu, HI, United States, 4-8 January 2021. Honolulu, HI, United States: Hawaii International Conference on System Sciences. doi: 10.24251/hicss.2021.664

A review of trust in artificial intelligence: challenges, vulnerabilities and future directions

2021

Other Outputs

Building explainability into public sector artificial intelligence: helping stakeholders understand the thinking behind AI decision-making

Rinta-Kahila, Tapani, Someh, Ida, Indulska, Marta, Ryan, Ian and van Leent, Ryan (2021). Building explainability into public sector artificial intelligence: helping stakeholders understand the thinking behind AI decision-making. SAP Thought Leadership Paper: Public Sector Brisbane, Australia: The University of Queensland; SAP SE.

Building explainability into public sector artificial intelligence: helping stakeholders understand the thinking behind AI decision-making

2020

Other Outputs

AI alignment: a new management paradigm

Wixom, Barbara, Someh, Ida and Gregory, Robert (2020). AI alignment: a new management paradigm. Research Briefing Cambridge, MA, United States: MIT Sloan School of Management, Centre for Information Systems Research (CISR).

AI alignment: a new management paradigm

2020

Other Outputs

Satellogic: Moving from AI Solutions to AI Products

Wixom, Barbara H., Leidner, Dorothy E., Ionescu, Ramona M. and Someh, Ida A. (2020). Satellogic: Moving from AI Solutions to AI Products. MIT CISR Working Paper: Case Study Cambridge, MA, United States: Massachusetts Institute of Technology Center for Information Systems Research (CISR).

Satellogic: Moving from AI Solutions to AI Products

2020

Other Outputs

GE’s Environment, Health, and Safety team creates value using machine learning

Wixom, Barbara H., Someh, Ida A. and Beath, Cynthia M. (2020). GE’s Environment, Health, and Safety team creates value using machine learning. MIT CISR Working Paper: Case Study Cambridge, MA, United States: Massachusetts Institute of Technology Center for Information Systems Research (CISR).

GE’s Environment, Health, and Safety team creates value using machine learning

2020

Other Outputs

The Australian Taxation Office: creating value with advanced analytics

Someh, Ida A., Wixom, Barbara H. and Gregory, Robert W. (2020). The Australian Taxation Office: creating value with advanced analytics. MIT CISR Working Paper: Case Study Cambridge, MA, United States: Massachusetts Institute of Technology Center for Information Systems Research (CISR).

The Australian Taxation Office: creating value with advanced analytics

2020

Other Outputs

Delivering AI programs in the public sector: guidelines for government leaders

Rinta-Kahila, Tapani, Someh, Ida, Gillespie, Nicole, Indulska, Marta, Gregor, Shirley , Van Leent, Ryan and Ryan, Ian (2020). Delivering AI programs in the public sector: guidelines for government leaders. Brisbane, Australia: The University of Queensland and SAP SE.

Delivering AI programs in the public sector: guidelines for government leaders

2020

Other Outputs

Explanation: a new enterprise data monetization capability for AI

Wixom, Barbara, Someh, Ida, Zutavern, Angela and Beath, Cynthia M. (2020). Explanation: a new enterprise data monetization capability for AI. CISR Working Paper. WP NO. 443. Center for Information Systems Research (CISR), Massachusetts Institute of Technology.

Explanation: a new enterprise data monetization capability for AI

2020

Journal Article

Explanations as discourse : towards ethical big data analytics services

Afrashteh, Sadaf, Someh, Ida and Davern, Michael (2020). Explanations as discourse : towards ethical big data analytics services. Australasian Journal of Information Systems, 24 2519. doi: 10.3127/ajis.v24i0.2519

Explanations as discourse : towards ethical big data analytics services

2020

Conference Publication

Enhancing fairness in algorithmic decision-making through perspective taking

Afrashteh, Sadaf, Davern, Michael and Someh, Ida Asadi (2020). Enhancing fairness in algorithmic decision-making through perspective taking. European Conference on Information Systems (ECIS), Marrakech, Morocco, 15 June 2020.

Enhancing fairness in algorithmic decision-making through perspective taking

Funding

Current funding

  • 2021 - 2026
    ARC Training Centre for Information Resilience
    ARC Industrial Transformation Training Centres
    Open grant

Past funding

  • 2021 - 2022
    Creating Value with Artificial Intelligence in the Public Sector - Stage 2
    SAP SE - Walldorf
    Open grant
  • 2019 - 2021
    Developing Data-Driven Organisations: An Agent-based Modelling Approach
    UQ Early Career Researcher
    Open grant

Supervision

Availability

Associate Professor Ida Asadi Someh is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Supervision history

Current supervision

Media

Enquiries

For media enquiries about Associate Professor Ida Asadi Someh's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au