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All Outputs (12)

Merging Fact & Fiction in War Comics: Diversity, Identity and Social Injustice (2024)
Book Chapter
Donald, I., Austin, H., & Pittner, F. Merging Fact & Fiction in War Comics: Diversity, Identity and Social Injustice. In Battle Lines Drawn: War Comics since 1914

This abstract discusses how war comics portray the historical record through a theoretical and conceptual textual model - the 3A Framework (3AF) which considers the representation of historical accuracy, authenticity and account (Donald & Reid, 2023)... Read More about Merging Fact & Fiction in War Comics: Diversity, Identity and Social Injustice.

‘It’s NOT in the Game’ – Commemoration and Commerce in EA Sports FIFA Franchise (2024)
Book Chapter
Donald, I. ‘It’s NOT in the Game’ – Commemoration and Commerce in EA Sports FIFA Franchise. In The Interactive Past Re-Imagined: New Horizons of Video Games, History, and Archaeology. Sidestone Press

In 2023 witnessed a seismic shift in the world of virtual football as the licensing agreement between EA Sports and FIFA (the governing body of football) that had existed since 1993 came to an end and it was announced that going forward FIFA (the gam... Read More about ‘It’s NOT in the Game’ – Commemoration and Commerce in EA Sports FIFA Franchise.

Attaining Ambidexterity in Construction Organisations through Digitalisation (2024)
Book Chapter
Aghimien, D., Montalvo, L. Z., Osunsanmi, T., Aigbavboa, C., & Taki, A. (2024). Attaining Ambidexterity in Construction Organisations through Digitalisation. In T. Omotayo, O. Ogunmakinde, T. Egbelakin, & A. Sojobi (Eds.), Innovations, Disruptions and Future Trends in the Global Construction Industry (215-232). Routledge. https://doi.org/10.1201/9781003372233-19

In an ever-changing construction environment shaped by pervasive digital technologies, the role of digitalisation in ensuring effective exploitation and exploration (ambidexterity) of available opportunities cannot be overlooked. Leveraging digital t... Read More about Attaining Ambidexterity in Construction Organisations through Digitalisation.

Data-driven innovation for sustainable practice in the creative economy (2024)
Book Chapter
Panneels, I., Lechelt, S., Schmidt, A., & Coşkun, A. (2024). Data-driven innovation for sustainable practice in the creative economy. In Data Driven Innovation in the Creative Industries (243-266). Routledge. https://doi.org/10.4324/9781003365891-11

Can data-driven innovation support the shift towards a more sustainable future? In this chapter, we present case studies from eight European cities to demonstrate how the creative sector is moving towards economic models that expand beyond the notion... Read More about Data-driven innovation for sustainable practice in the creative economy.

Digital and data literacy (2024)
Book Chapter
Osborne, N., Helgason, I., Lechelt, S., Michielin, L., Panneels, I., Parkinson, C., Smyth, M., Ross, J., Sulaiman, Y., & Warren, K. (2024). Digital and data literacy. In Data Driven Innovation in the Creative Industries (71-100). Routledge. https://doi.org/10.4324/9781003365891-4

In this chapter we explore models for training and upskilling people in the creative industries in data, technology and entrepreneurial skills, situating this in the wider skills and training context. We will particularly look at the challenges of de... Read More about Digital and data literacy.

Ecosystems and partnerships (2024)
Book Chapter
Panneels, I., Jones, C., Parkinson, C., Komorowski, M., & Orme, A. (2024). Ecosystems and partnerships. In Data-Driven Innovation in the Creative Industries (23-45). London, UK: Routledge. https://doi.org/10.4324/9781003365891-2

What are the ecosystems and partnerships required to enable data-driven innovation to be taken up in the creative industries? This chapter discusses how ecosystems enable different forms of innovation through partnership networks in the creative indu... Read More about Ecosystems and partnerships.

Timber (2024)
Book Chapter
Cramer, M., & Tamagnone, G. (2024). Timber. In H. Hartman, & J. Jack Williams (Eds.), Materials: An environmental primer (230-253). RIBA

Federated Learning for Market Surveillance (2024)
Book Chapter
Song, P., Kanwal, S., Dashtipour, K., & Gogate, M. (2024). Federated Learning for Market Surveillance. In W. Boulila, J. Ahmad, A. Koubaa, M. Driss, & I. Riadh Farah (Eds.), Decision Making and Security Risk Management for IoT Environments (199-218). Springer. https://doi.org/10.1007/978-3-031-47590-0_10

The data utilized in market surveillance is highly sensitive; what may be available for machine learning is limited. In this paper, we examine how federated learning for time series data can be used to identify potential market abuse while maintainin... Read More about Federated Learning for Market Surveillance.

Statistical Downscaling Modeling for Temperature Prediction (2024)
Book Chapter
Ashraf, Z., Kanwal, B., Hussain, I., Dashtipour, K., Gogate, M., & Kanwal, S. (2024). Statistical Downscaling Modeling for Temperature Prediction. In W. Boulila, J. Ahmad, A. Koubaa, M. Driss, & I. Riadh Farah (Eds.), Decision Making and Security Risk Management for IoT Environments (147-169). Springer. https://doi.org/10.1007/978-3-031-47590-0_8

The application compares the Statistical Downscaling Model (SDSM) and partial least square (PLS) to bridge the gap between (minimum and maximum) daily temperatures of 11 sites in Punjab between 1961 and 2013 with atmospheric variables. The data set w... Read More about Statistical Downscaling Modeling for Temperature Prediction.

Multivariate Procedure for Modeling and Prediction of Temperature in Punjab, Pakistan (2024)
Book Chapter
Kanwal, B., Ashraf, Z., Mehmood, T., Kanwal, S., Dashtipour, K., & Gogate, M. (2024). Multivariate Procedure for Modeling and Prediction of Temperature in Punjab, Pakistan. In W. Boulila, J. Ahmad, A. Koubaa, M. Driss, & I. Riadh Farah (Eds.), Decision Making and Security Risk Management for IoT Environments (99-124). Springer. https://doi.org/10.1007/978-3-031-47590-0_6

Climate study often relies upon global climate models (GCM) to project future scenarios of change in climate behavior. This study aims to refine GCM results to fill the gap between local scale surface weather with regional atmospheric predictors. The... Read More about Multivariate Procedure for Modeling and Prediction of Temperature in Punjab, Pakistan.

MONOPOLI: a customizable model to provide forecasts of Covid-19 infections around the world using alternative non-pharmaceutical intervention policy scenarios, human movement data, and regional demographics (2024)
Book Chapter
Arehart, C. H., Arehart, J. H., David, M. Z., D'Amico, B., Sozzi, E., Dukic, V., & Pomponi, F. (in press). MONOPOLI: a customizable model to provide forecasts of Covid-19 infections around the world using alternative non-pharmaceutical intervention policy scenarios, human movement data, and regional demographics. In B. Sriraman (Ed.), Handbook of Visual, Experimental and Computational Mathematics - Bridges through Data (1-29). Springer. https://doi.org/10.1007/978-3-030-93954-0_2-1

During the global COVID-19 pandemic, policy makers, public health practitioners, medical experts, and laypersons have sought data that would enable evidence-based decisions about which interventions would be most effective at slowing the spread of SA... Read More about MONOPOLI: a customizable model to provide forecasts of Covid-19 infections around the world using alternative non-pharmaceutical intervention policy scenarios, human movement data, and regional demographics.