Adegboyega Ojo

• BSc Hons in Computer Science (University of Lagos, Nigeria)
• PhD in Computer Science (University of Lagos, Nigeria)

Professor Ojo’s research is primarily in the area of digital government. He studies how digital and data technologies can be used to support innovation in government institutions and address societal challenges. He is keen on understanding the conditions and technical design requirements for the beneficial and ethical use of data-driven innovation, advanced analytics and artificial intelligence-based solutions in different public service and policy contexts.

• Adegboyega Ojo and Jeremy Millard (2017). Government 3.0: Next Generation Government Technology Infrastructure and Services, Public Administrative and Information Technology Series, Springer International Publishing.

• Ojo, A., Rizun, N., Walsh, G., Mashinchi, M. I., Venosa, M., & Rao, M. N. (2024). Prioritising national healthcare service issues from free text feedback–A computational text analysis & predictive modelling approach. Decision Support Systems, 181, 114215.
• Mellouli, S., Janssen, M., & Ojo, A. (2024). Introduction to the Issue on Artificial Intelligence in the Public Sector: Risks and Benefits of AI for Governments. Digital Government: Research and Practice, 5(1), 1-6.
• Ojo, A., Rizun, N., Walsh, G. S., Przychodzen, W., Mashinchi, M. I., Foley, C., & Rohde, D. (2023). Building Confidence and Trust in Ireland’s National Maternity Services Workforce–What matters most and how?. Health policy, 104947.
• Gruda, D., & Ojo, A. (2023). All I Do Is Win, Win, Win No Matter What? Pre-Game Anxiety and Experience predict Athletic Performance in the NBA. Current Research in Behavioral Sciences, 100120.
• Psychogios, A., Gruda, D., & Ojo, A. (2023). Tweet you right back: Follower anxiety predicts leader anxiety in social media interactions during the SARS-CoV-2 pandemic. Plos one, 18(2), e0279164.
• Bassey, E., Mulligan, E., & Ojo, A. (2022). A conceptual framework for digital tax administration-A systematic review. Government Information Quarterly, 39(4), 101754.
• Karimikia, H., Bradshaw, R., Singh, H., Ojo, A., Donnellan, B., & Guerin, M. (2022). An emergent taxonomy of boundary spanning in the smart city context–The case of smart Dublin. Technological Forecasting and Social Change, 185, 122100.
• Mockaitis, A. I., Butler, C. L., & Ojo, A. (2022). COVID-19 pandemic disruptions to working lives: A multilevel examination of impacts across career stages. Journal of Vocational Behavior, 138, 103768.
• Gruda, D., & Ojo, A. (2022). Is it too late now to say we’re sorry? Examining anxiety contagion and crisis communication strategies using machine learning. Plos one, 17(9), e0274539.
• Dritjon Gruda, Adegboyega Ojo (2022), “All about that trait: Examining extraversion and state anxiety during the SARS-CoV-2 pandemic using a machine learning approach, Personality and Individual Differences”, Volume 188, 2022, ISSN 0191-8869
• Dritjon Gruda, Adegboyega Ojo, Alexandros Psychogios (2022), “Don’t you tweet me badly: Anxiety contagion between leaders and followers in computer-mediated communication during COVID-19”, PLoS ONE, 17(3): e0264444
• Lukasz Porwol and Adegboyega Ojo. “Virtual Reality-driven Serious Communication: Through VR-Dialogue Towards VR-Participation,” Information Polity, IOS Press, (Pre-press), 27 September 2021, pp. 1-19.
• Gesche Kindermann, Christine Domegan, Easkey Britton, Caitriona Carlin, Mona Isazad Mashinchi, and Adegboyega Ojo (2021). “Understanding the Dynamics of Green and Blue Spaces for Health and Wellbeing Outcomes in Ireland: A Systemic Stakeholder Perspective,” Sustainability, 13(17), pp. 1-15.
• Steve Adeshina and Adegboyega Ojo (2020). “Factors for e-Voting Adoption – Analysis of General Elections in Nigeria,” Government Information Quarterly, 37(3), p. 101257.
• Adegboyega Ojo and Nina Rizun (2019). “Enabling Deeper Linguistic-Based Text Analytics – Construct Development for the Criticality of Negative Service Experience,” IEEE Access, 7, pp. 169217-169256.
• Adegboyega Ojo and Sehl Mellouli (2018). “Deploying governance networks for societal challenges”. Government Information Quarterly, 35(4), pp. S106–S112.
• Adegboyega Ojo and Bahareh Heravi (2018). “Patterns in Award-Winning Data Storytelling: Story types, Enabling Tools and Competences,” Digital Journalism, 6(6), pp. 1-26.
• Erna Ruijer, Stephan Grimmelikhuijsen, Michael Hogan, Sem Enzerink, Adegboyega Ojo, and Albert Meijer (2017). “Connecting Societal Issues, Users and Data – Scenario-based Design of Open Data Platforms,” Government Information Quarterly, 34(3), pp. 470-480.
• Marijn Janssen, David Konopnicki, Jane L. Snowdon, and Adegboyega Ojo (2017). “Driving Public Sector Innovation Using Big and Open Linked Data,” Information Systems Frontiers, 19(2), pp. 189-195.

• Edward Curry, Sonja Zillner, Andreas Metzger, Arne J. Berre, Sören Auer, Ray Walshe, Marija Despenic, Milan Petkovic, Dumitru Roman, Walter Waterfeld, Robert Seidl, Souleiman Hasan, Umair ul Hassan, and Adegboyega Ojo (2021). “Technical Research Priorities for Big Data,” In E. Curry, A. Metzger, S. Zillner, J.-C. Pazzaglia, and A. García Robles (Eds.), The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem, Springer International Publishing, pp. 97-126.
• Edward Curry, Edo Osagie, Niki Pavlopoulou, Dhaval Salwala, and Adegboyega Ojo (2021). “A Best Practice Framework for Centres of Excellence in Big Data and Artificial Intelligence,” In E. Curry, A. Metzger, S. Zillner, J.-C. Pazzaglia, and A. García Robles (Eds.), The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem, Springer International Publishing, pp. 177-210.
• Adegboyega Ojo and Samuel Adebayo (2017). “Blockchain as a Next Generation Government Information Infrastructure: A Review of Initiatives in D5 Countries,” In Ojo and J. Millard (Eds.), Government 3.0: Next Generation Government Technology Infrastructure and Services, Public Administrative and Information Technology Series, Springer International Publishing, pp. 283-298.
• Michael Hogan, Adegboyega Ojo, Owen Harney, Erna Ruijer, Albert Meijer, Jerry Andriessen, Mirjam Pardijs, Paolo Boscolo, Elena Palmisano, Matteo Satta, Jonathan Groff, Michael Baker, Françoise Détienne, Lukasz Porwol, Vittorio Scarano, and Delfina Malandrino (2017). “Governance, Transparency and the Collaborative Design of Open Data Collaboration Platforms: Understanding Barriers, Options, and Needs,” In Ojo and J. Millard (Eds.), Government 3.0: Next Generation Government Technology Infrastructure and Services, Public Administrative and Information Technology Series, Springer International Publishing, pp. 299-332.
• Fatemeh Ahmadi Zeleti and Adegboyega Ojo (2017). “The 6-Values Open Data Business Model Framework,” In Ojo and J. Millard (Eds.), Government 3.0: Next Generation Government Technology Infrastructure and Services, Public Administrative and Information Technology Series, Springer International Publishing, pp. 219-239.
• Fatemeh Ahmadi Zeleti and Adegboyega Ojo (2017). “Capability Development in Open Data-Driven Organizations,” In Ojo and J. Millard (Eds.), Government 3.0: Next Generation Government Technology Infrastructure and Services, Public Administrative and Information Technology Series, Springer International Publishing, pp. 135-171.

• Edward Curry, Mark T. Keane, Adegboyega Ojo, and Dhaval Salwala (2020). Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, Galway, Ireland, December 5-6, 2019. CEUR Workshop Proceedings 2563, CEUR-WS.org.
• Atreyi Kankanhalli, Adegboyega Ojo, and Delfina Soares (2018). Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance, ICEGOV ’18, Galway, Ireland, April 4-6, 2018. Association for Computing Machinery, New York, NY, USA.
• Victor Odumuyiwa, Adegboyega Ojo, and Charles Onuwa Uwadia (2018). Proceedings of the e-Infrastructure and e-Services for Developing Countries – 9th International Conference, AFRICOMM 2017, Lagos, Nigeria, December 11-12, 2017, Springer, ISBN 978-3-319-98826-9.

• García Pereira, A., Porwol, L., & Ojo, A. (2023). Using Isolation Forest and Alternative Data Products to Overcome Ground Truth Data Scarcity for Improved Deep Learning-based Agricultural Land Use Classification Models.
• Adegboyega Ojo and Nina Rizun, (2021), “What matters most to patients? On the Core Determinants of Patient Experience from Free Text Feedback“. In Proceedings of the International Conference of Information Systems (ICIS) 2021.
• Fatemeh Ahmadi Zeleti, Grace S Walsh, Adegboyega Ojo, and Emer Mulligan (2021). “A Case of the Governance of Digital Technology in Tax Administration”. In 14th International Conference on Theory and Practice of Electronic Governance (ICEGOV 2021), October 06–08, 2021, Athens, Greece. ACM, New York, NY, USA, 10 pages.
• Mona Mashinchi, Adegboyega Ojo, and Francis J. Sullivan (2021). “Towards a Theoretical Model of Dashboard Acceptance and Use in Healthcare Domain,” in Proceedings of the 53rd Hawaii International Conference on System Sciences, pp. 3684-3693.
• Adegboyega Ojo and Nina Rizun (2020). “Structural and Temporal Topic Models of Feedbacks on Service Quality – A Path to Theory Development?” in America’s Conference on Information Systems (AMCIS) 2020 Proceedings. 15, pp. 1-10.
• Adegboyega Ojo and Oladipupo Sennaike (2020).“Constructing Knowledge Graphs from Data Catalogues,” in International Conference on Distributed Computing and Internet Technology, pp. 94-107.
• Fatemeh Ahmadi Zeleti and Adegboyega Ojo (2020). “Open Data Capability Architecture-An Interpretive Structural Modeling Approach,” in Proceedings of the 53rd Hawaii International Conference on System Sciences
• Agustin Garcia Pereira, Adegboyega Ojo, Edward Curry and Lukasz Porwol (2020). “Data Acquisition and Processing for GeoAI Models to Support Sustainable Agricultural Practices,” in Proceedings of the 53rd Hawaii International Conference on System Sciences.
• Mona Isazad Mashinchi, Adegboyega Ojo, and Francis J. Sullivan (2020). “Investigating Analytics Dashboards’ Support for the Value-based Healthcare Delivery Model,” in Proceedings of the 53rd Hawaii International Conference on System Sciences.
• Cecile Robin, Mona Isazad Mashinchi, Fatemeh Ahmadi Zeleti, Adegboyega Ojo, and Paul Buitelaar (2020). “A Term Extraction Approach to Survey Analysis in Health Care,” in The 12th Language Resources and Evaluation Conference LREC.
• Lukasz Porwol and Adegboyega Ojo (2020). “VR-Participation & Dialogue: Towards Integrated Framework for Virtual Reality-Mediated Consensus and Community Building,” in The 21st Annual International Conference on Digital Government Research, pp. 24-30.
• Fatemeh Ahmadi Zeleti and Adegboyega Ojo (2020). “Open Data Capability Architecture-An Interpretive Structural Modeling Approach,” in HICSS, pp. 1-10.
• Adegboyega Ojo, Fatemeh Ahmadi Zeleti, and Sehl Mellouli (2019). “A Realist Perspective on AI-era Public Management: An Analysis of Mechanisms, Outcomes and Challenges of AI Solutions in the Public Sector,” in Proceedings of dg.o 2019: 20th Annual International Conference on Digital Government Research (dg.o 2019), Dubai, United Arab Emirates, June 18-20, 2019. pp. 159-170.
• Maciej Janowski, Adegboyega Ojo, Edward Curry, and Lukasz Porwol (2019). “Mediating Open Data Consumption – Identifying Story Patterns for Linked Open Statistical Data,” in Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance (ICEGOV2019), Melbourne, Australia, April 3-5, 2019, 8 pp.
• Fatemeh Ahmadi Zeleti and Adegboyega Ojo (2019). “Agile Mechanisms for Open Data Process Innovation in Public Sector Organizations: Towards Theory Building,” in Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance (ICEGOV2019), Melbourne, Australia, April 3-5, 2019, 11 pp. 164-174.
• Fatemeh Ahmadi Zeleti and Adegboyega Ojo (2019). “Qualitative Structural Model for Capabilities in Open Data Organizations,” in Proceedings of the 52nd Hawaii International Conference on System Sciences. pp. 2902-2911
• Akemi Takeoka Chatfield, Adegboyega Ojo, Gabriel Puron-Cid, and Christopher G Reddick (2018). “Census Big Data Analytics Use: International Cross-case Analysis,” in Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, ACM, New York, USA. pp. 1-10.
• Arkadiusz Stasiewicz, Mohamed Adel Rezk, Adegboyega Ojo, Efthimios Tambouris, Evangelos Kalampokis, Konstantinos Tarabanis, Trevor Alcorn, and Adam Leadbetter (2018). “Using Linked Statistical Data to Improve Marine Search and Rescue Operations in Ireland,” in Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance, Galway, Ireland, ACM, New York, USA, pp. 412-418.
• Niall Ó Brolcháin, Adegboyega Ojo, Lukasz Porwol, David Minton, Clodagh Barry (2018). “Examining the Feasibility of a Smart Region Approach in the North-West Atlantic and Borders Region of Ireland,” in Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance, ACM, New York, USA, pp. 269-278.
• Mohamed Adel Rezk, Mahmoud H Aliyu, Hatem Bensta, and Adegboyega Ojo (2017). “Standardising Public Policy Documentation to Foster Collaboration Across Government Agencies,” in Working Conference on Virtual Enterprises, Springer, Cham, pp. 466-477.
• Mohamed Adel Rezk, Adegboyega Ojo, and Islam A Hassan (2017). “Mining Governmental Collaboration Through Semantic Profiling of Open Data Catalogues and Publishers,” in Working Conference on Virtual Enterprises, Springer, Cham, pp. 253-264.