David Johnson

AI i samhällets tjänst: Utveckling med tillit och transparens

Ingram Bogusz, Claire; Johnson, David

2023

Data Discovery for the SDGs: A Systematic Rule-based Approach

Jiang, Yuwei; Johnson, David

Ingår i GoodIT '23, s. 384-391, 2023

• DOI för Data Discovery for the SDGs: A Systematic Rule-based Approach
• Ladda ner fulltext (pdf) av Data Discovery for the SDGs: A Systematic Rule-based Approach

EAAI-22 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program

Guerzhoy, Michael; Neumann, Marion; Johnson, Emmanuel; Johnson, David et al.

Ingår i AI Matters, s. 16-21, 2022

• Ladda ner fulltext (pdf) av EAAI-22 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program

ISA API: An open platform for interoperable life science experimental metadata

Johnson, David; Batista, Dominique; Cochrane, Keeva; Davey, Robert P. et al.

Ingår i GigaScience, 2021

• DOI för ISA API: An open platform for interoperable life science experimental metadata
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COPO: a metadata platform for brokering FAIR data in the life sciences

Shaw, Felix; Etuk, Anthony; Minotto, Alice; Gonzalez-Beltran, Alejandra et al.

Ingår i F1000 Research, 2020

• DOI för COPO: a metadata platform for brokering FAIR data in the life sciences
• Ladda ner fulltext (pdf) av COPO: a metadata platform for brokering FAIR data in the life sciences

PhenoMeNal: Processing and analysis of metabolomics data in the cloud

Peters, Kristian; Bradbury, James; Bergmann, Sven; Capuccini, Marco et al.

Ingår i GigaScience, 2019

• DOI för PhenoMeNal: Processing and analysis of metabolomics data in the cloud

Saying `Criminality’, meaning ‘immigration’?: Proxy discourses and public implicatures in the normalisation of the politics of exclusion

Ekström, Hugo; Krzyzanowski, Michal; Johnson, David

Ingår i Critical Discourse Studies, s. 183-209, 2025

• DOI för Saying `Criminality’, meaning ‘immigration’?: Proxy discourses and public implicatures in the normalisation of the politics of exclusion
• Ladda ner fulltext (pdf) av Saying `Criminality’, meaning ‘immigration’?: Proxy discourses and public implicatures in the normalisation of the politics of exclusion

Towards Modelling and Simulation of Organisational Routines

Namgay, Phub; Johnson, David

Ingår i Computational Science – ICCS 2024, s. 367-379, 2024

• DOI för Towards Modelling and Simulation of Organisational Routines
• Ladda ner fulltext (pdf) av Towards Modelling and Simulation of Organisational Routines

AI i samhällets tjänst: Utveckling med tillit och transparens

Ingram Bogusz, Claire; Johnson, David

2023

AI for the benefit of society: Progress with trust and transparency

Ingram Bogusz, Claire; Johnson, David

2023

DEBATT: AI-politiken är i desperat behov av nyansering och reformer

Schenström, Ulrica; Ingram Bogusz, Claire; Juhlin, Mariell; Johnson, David et al.

2023

Saying `Criminality’, meaning ‘immigration’?: Proxy discourses and public implicatures in the normalisation of the politics of exclusion

Ekström, Hugo; Krzyzanowski, Michal; Johnson, David

Ingår i Critical Discourse Studies, s. 183-209, 2025

• DOI för Saying `Criminality’, meaning ‘immigration’?: Proxy discourses and public implicatures in the normalisation of the politics of exclusion
• Ladda ner fulltext (pdf) av Saying `Criminality’, meaning ‘immigration’?: Proxy discourses and public implicatures in the normalisation of the politics of exclusion

EAAI-22 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program

Guerzhoy, Michael; Neumann, Marion; Johnson, Emmanuel; Johnson, David et al.

Ingår i AI Matters, s. 16-21, 2022

• Ladda ner fulltext (pdf) av EAAI-22 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program

ISA API: An open platform for interoperable life science experimental metadata

Johnson, David; Batista, Dominique; Cochrane, Keeva; Davey, Robert P. et al.

Ingår i GigaScience, 2021

• DOI för ISA API: An open platform for interoperable life science experimental metadata
• Ladda ner fulltext (pdf) av ISA API: An open platform for interoperable life science experimental metadata

COPO: a metadata platform for brokering FAIR data in the life sciences

Shaw, Felix; Etuk, Anthony; Minotto, Alice; Gonzalez-Beltran, Alejandra et al.

Ingår i F1000 Research, 2020

• DOI för COPO: a metadata platform for brokering FAIR data in the life sciences
• Ladda ner fulltext (pdf) av COPO: a metadata platform for brokering FAIR data in the life sciences

PhenoMeNal: Processing and analysis of metabolomics data in the cloud

Peters, Kristian; Bradbury, James; Bergmann, Sven; Capuccini, Marco et al.

Ingår i GigaScience, 2019

• DOI för PhenoMeNal: Processing and analysis of metabolomics data in the cloud

Interoperable and scalable data analysis with microservices: Applications in metabolomics

Emami Khoonsari, Payam; Moreno, Pablo; Bergmann, Sven; Burman, Joachim et al.

Ingår i Bioinformatics, s. 3752-3760, 2019

• DOI för Interoperable and scalable data analysis with microservices: Applications in metabolomics
• Ladda ner fulltext (pdf) av Interoperable and scalable data analysis with microservices: Applications in metabolomics

Computer Simulation, Visualization, and Image Processing of Cancer Data and Processes

Johnson, David; Osborne, James; Wang, Zhihui; Marias, Kostas

Ingår i Cancer Informatics, 2015

• DOI för Computer Simulation, Visualization, and Image Processing of Cancer Data and Processes
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High dimensional biological data retrieval optimization with NoSQL technology

Wang, Shicai; Pandis, Ioannis; Wu, Chao; He, Sijin et al.

Ingår i BMC Genomics, 2014

• DOI för High dimensional biological data retrieval optimization with NoSQL technology
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Optimising parallel R correlation matrix calculations on gene expression data using MapReduce

Wang, Shicai; Pandis, Ioannis; Johnson, David; Emam, Ibrahim et al.

Ingår i BMC Bioinformatics, 2014

• DOI för Optimising parallel R correlation matrix calculations on gene expression data using MapReduce
• Ladda ner fulltext (pdf) av Optimising parallel R correlation matrix calculations on gene expression data using MapReduce

Semantically Linking In Silico Cancer Models

Johnson, David; Connor, Anthony J.; McKeever, Steve; Wang, Zhihui et al.

Ingår i Cancer Informatics, s. 133-143, 2014

• DOI för Semantically Linking In Silico Cancer Models
• Ladda ner fulltext (pdf) av Semantically Linking In Silico Cancer Models

Web-Based Workflow Planning Platform Supporting the Design and Execution of Complex Multiscale Cancer Models

Sakkalis, Vangelis; Sfakianakis, Stelios; Tzamali, Eleftheria; Marias, Kostas et al.

Ingår i IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, s. 824-831, 2014

• DOI för Web-Based Workflow Planning Platform Supporting the Design and Execution of Complex Multiscale Cancer Models

Dealing with Diversity in Computational Cancer Modeling

Johnson, David; McKeever, Steve; Stamatakos, Georgios; Dionysiou, Dimitra et al.

Ingår i Cancer Informatics, s. 115-124, 2013

• DOI för Dealing with Diversity in Computational Cancer Modeling

Connecting digital cancer model repositories with markup: introducing TumorML version 1.0

Johnson, David; McKeever, Steve; Deisboeck, Thomas S.; Wang, Zhihui

Ingår i ACM SIGBioinformatics Record, s. 5-11, 2013

• DOI för Connecting digital cancer model repositories with markup: introducing TumorML version 1.0

The role of markup for enabling interoperability in health informatics

McKeever, Steve; Johnson, David

Ingår i Frontiers in Physiology, 2015

• DOI för The role of markup for enabling interoperability in health informatics
• Ladda ner fulltext (pdf) av The role of markup for enabling interoperability in health informatics

Towards Modelling and Simulation of Organisational Routines

Namgay, Phub; Johnson, David

Ingår i Computational Science – ICCS 2024, s. 367-379, 2024

• DOI för Towards Modelling and Simulation of Organisational Routines
• Ladda ner fulltext (pdf) av Towards Modelling and Simulation of Organisational Routines

Data Discovery for the SDGs: A Systematic Rule-based Approach

Jiang, Yuwei; Johnson, David

Ingår i GoodIT '23, s. 384-391, 2023

• DOI för Data Discovery for the SDGs: A Systematic Rule-based Approach
• Ladda ner fulltext (pdf) av Data Discovery for the SDGs: A Systematic Rule-based Approach

An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates

Johnson, David; Alsharid, Mohammad; El-Bouri, Rasheed; Mehdi, Nigel et al.

Ingår i Proceedings of the 36th AAAI Conference on Artificial Intelligence, s. 12766-12773, 2022

• DOI för An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates

Towards Explainable, Compliant and Adaptive Human-Automation Interaction

Gallina, Barbara; Paçacı, Görkem; Johnson, David; McKeever, Steve et al.

Ingår i Proceedings of the 3rd EXplainable AI in Law Workshop (XAILA 2020), 2020

• Ladda ner fulltext (pdf) av Towards Explainable, Compliant and Adaptive Human-Automation Interaction

"Why did you do that?": Explaining black box models with Inductive Synthesis

Paçacı, Görkem; Johnson, David; McKeever, Steve; Hamfelt, Andreas

Ingår i International Conference on Computational Science (ICCS), 2019

• DOI för "Why did you do that?": Explaining black box models with Inductive Synthesis
• Ladda ner fulltext (pdf) av "Why did you do that?": Explaining black box models with Inductive Synthesis

Teaching Agile Methods to Software Engineering Professionals: 10 Years, 1000 Release Plans

Martin, Angela; Anslow, Craig; Johnson, David

Ingår i XP 2017: Agile Processes in Software Engineering and Extreme Programming, s. 151-166, 2017

• DOI för Teaching Agile Methods to Software Engineering Professionals: 10 Years, 1000 Release Plans
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DSIMBench: A benchmark for microarray data using R

Wang, Shicai; Pandis, Ioannis; Emam, Ibrahim; Johnson, David et al.

Ingår i BPOE 2014: Big Data Benchmarks, Performance Optimization, and Emerging Hardware, s. 47-56, 2014

• DOI för DSIMBench: A benchmark for microarray data using R
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Abstraction in Physiological Modelling Languages

McKeever, Steve; Gill, Mandeep; Connor, Anthony; Johnson, David

Ingår i Symposium On Theory of Modeling and Simulation, s. 76-83, 2013

• Ladda ner fulltext (pdf) av Abstraction in Physiological Modelling Languages

Modular markup for simulating vascular tumour growth

Johnson, David; Connor, Anthony J.; McKeever, Steve

2012

• Ladda ner fulltext (pdf) av Modular markup for simulating vascular tumour growth

TumorML: Concept and requirements of an in silico cancer modelling markup language

Johnson, David; Cooper, Jonathan; McKeever, Steve

s. 441-444, 2011

• DOI för TumorML: Concept and requirements of an in silico cancer modelling markup language
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The Case for Using Markup for Biomechanical Modelling

Johnson, David; McKeever, Steve

2011

• Ladda ner fulltext (pdf) av The Case for Using Markup for Biomechanical Modelling

A middleware independent grid workflow builder for scientific applications

Johnson, David; Meacham, Ken; Kornmayer, Harald

2009

Galaxy-Kubernetes integration: scaling bioinformatics workflows in the cloud

Moreno, Pablo; Pireddu, Luca; Roger, Pierrick; Goonasekera, Nuwan et al.

• DOI för Galaxy-Kubernetes integration: scaling bioinformatics workflows in the cloud

Though we be but small: How Data Interoperability and Dynamic Routines Enabled a Data-Centric Response to COVID-19 in Bhutan

Namgay, Phub; Johnson, David; Ingram Bogusz, Claire

AI i samhällets tjänst: Utveckling med tillit och transparens

Ingram Bogusz, Claire; Johnson, David

2023

AI for the benefit of society: Progress with trust and transparency

Ingram Bogusz, Claire; Johnson, David

2023

DEBATT: AI-politiken är i desperat behov av nyansering och reformer

Schenström, Ulrica; Ingram Bogusz, Claire; Juhlin, Mariell; Johnson, David et al.

2023