Academic Experts in Computer Science

Computers in Human Behavior / Aug 01, 2014

Computers in Human Behavior / Apr 01, 2015

Hornik, J., Shaanan Satchi, R., Cesareo, L., & Pastore, A. (2015). Information dissemination via electronic word-of-mouth: Good news travels fast, bad news travels faster! Computers in Human Behavior, 45, 273–280. https://doi.org/10.1016/j.chb.2014.11.008

Enterprise Information Systems / May 01, 2011

Chaudhry, P. E., Chaudhry, S. S., Stumpf, S. A., & Sudler, H. (2011). Piracy in cyber space: consumer complicity, pirates and enterprise enforcement. Enterprise Information Systems, 5(2), 255–271. https://doi.org/10.1080/17517575.2010.524942

Journal of Business Strategy / Nov 20, 2017

Chaudhry, P. E., & Cesareo, L. (2017). Fake and pirated: do consumers care? Journal of Business Strategy, 38(6), 11–19. https://doi.org/10.1108/jbs-08-2016-0080

Procedia Manufacturing / Jan 01, 2020

Whitworth, A. H., & Tsavdaridis, K. D. (2020). Embodied Energy Optimization of Steel-Concrete Composite Beams using a Genetic Algorithm. Procedia Manufacturing, 44, 417–424. https://doi.org/10.1016/j.promfg.2020.02.275

Procedia Manufacturing / Jan 01, 2020

Tsavdaridis, K. D., Feng, R., & Liu, F. (2020). Shape Optimization of Assembled Single-Layer Grid Structure with Semi-Rigid Joints. Procedia Manufacturing, 44, 12–19. https://doi.org/10.1016/j.promfg.2020.02.199

Computers / Dec 26, 2018

Abambres, M., Rajana, K., Tsavdaridis, K., & Ribeiro, T. (2018). Neural Network-Based Formula for the Buckling Load Prediction of I-Section Cellular Steel Beams. Computers, 8(1), 2. https://doi.org/10.3390/computers8010002

American Journal of Engineering and Applied Sciences / Feb 01, 2016

Mohseni, E., & Tsavdaridis, K. D. (2016). Effect of Nano-Alumina on Pore Structure and Durability of Class F Fly Ash Self-Compacting Mortar. American Journal of Engineering and Applied Sciences, 9(2), 323–333. https://doi.org/10.3844/ajeassp.2016.323.333

American Journal of Engineering and Applied Sciences / Apr 01, 2015

Maraveas, C., Fasoulakis, Z. C., & Tsavdaridis, K. D. (2015). A Review of Human Induced Vibrations on Footbridges. American Journal of Engineering and Applied Sciences, 8(4), 422–433. https://doi.org/10.3844/ajeassp.2015.422.433

Computers & Structures / Oct 01, 2015

Tsavdaridis, K. D., Kingman, J. J., & Toropov, V. V. (2015). Application of structural topology optimisation to perforated steel beams. Computers & Structures, 158, 108–123. https://doi.org/10.1016/j.compstruc.2015.05.004

American Journal of Engineering and Applied Sciences / Apr 01, 2015

Mohseni, E., Ranjbar, M. M., & Tsavdaridis, K. D. (2015). Durability Properties of High-Performance Concrete Incorporating Nano-TiO<sub>2</sub> and Fly Ash. American Journal of Engineering and Applied Sciences, 8(4), 519–526. https://doi.org/10.3844/ajeassp.2015.519.526

American Journal of Engineering and Applied Sciences / Apr 01, 2015

Demetriou, D., Nikitas, N., & Tsavdaridis, K. D. (2015). Semi Active Tuned Mass Dampers of Buildings: A Simple Control Option. American Journal of Engineering and Applied Sciences, 8(4), 620–632. https://doi.org/10.3844/ajeassp.2015.620.632

Computers & Chemical Engineering / Feb 01, 2012

Holmes, L., Favero, J., & Osswald, T. (2012). Numerical simulation of three-dimensional viscoelastic planar contraction flow using the software OpenFOAM. Computers & Chemical Engineering, 37, 64–73. https://doi.org/10.1016/j.compchemeng.2011.09.015

International Journal of Automation and Smart Technology / Dec 01, 2018

Jiang, C.-P. (2018). Technical Development of Multi-Resin Three-Dimensional Printer Using Bottom-Up Method. International Journal of Automation and Smart Technology, 8(4), 173–178. https://doi.org/10.5875/ausmt.v8i4.1840

Applied Sciences / Mar 15, 2022

Tagscherer, N., Osswald, T. A., & Drechsler, K. (2022). Targeted Temperature Manipulation and Analysis of the Influence on Mechanical Properties in Large-Scale Extrusion Additive Manufacturing. Applied Sciences, 12(6), 2998. https://doi.org/10.3390/app12062998

Journal of Learning Analytics / Nov 18, 2014

Wang, Y., Paquette, L., & Baker, R. (2014). A Longitudinal Study on Learner Career Advancement in MOOCs. Journal of Learning Analytics, 1(3), 203–206. https://doi.org/10.18608/jla.2014.13.23

Journal of Learning Analytics / Apr 03, 2020

Joksimovic, S., Siemens, G., Wang, Y. E., San Pedro, M. O. Z., & Way, J. (2020). Editorial: Beyond Cognitive Ability. Journal of Learning Analytics, 7(1). https://doi.org/10.18608/jla.2020.71.1

Journal of Chemical Theory and Computation / Jan 18, 2018

Parrish, R. M., Thompson, K. C., & Martínez, T. J. (2018). Large-Scale Functional Group Symmetry-Adapted Perturbation Theory on Graphical Processing Units. Journal of Chemical Theory and Computation, 14(3), 1737–1753. https://doi.org/10.1021/acs.jctc.7b01053

Journal of Chemical Information and Modeling / Apr 08, 2020

Seritan, S., Thompson, K., & Martínez, T. J. (2020). TeraChem Cloud: A High-Performance Computing Service for Scalable Distributed GPU-Accelerated Electronic Structure Calculations. Journal of Chemical Information and Modeling, 60(4), 2126–2137. https://doi.org/10.1021/acs.jcim.9b01152

Frontiers in Robotics and AI / Jul 26, 2021

Winfield, A. F. T., Booth, S., Dennis, L. A., Egawa, T., Hastie, H., Jacobs, N., Muttram, R. I., Olszewska, J. I., Rajabiyazdi, F., Theodorou, A., Underwood, M. A., Wortham, R. H., & Watson, E. (2021). IEEE P7001: A Proposed Standard on Transparency. Frontiers in Robotics and AI, 8. https://doi.org/10.3389/frobt.2021.665729

Artificial Intelligence / Mar 01, 2023

Knox, W. B., Allievi, A., Banzhaf, H., Schmitt, F., & Stone, P. (2023). Reward (Mis)design for autonomous driving. Artificial Intelligence, 316, 103829. https://doi.org/10.1016/j.artint.2022.103829

Artificial Intelligence / Mar 01, 2023

Knox, W. B., Allievi, A., Banzhaf, H., Schmitt, F., & Stone, P. (2023). Reward (Mis)design for autonomous driving. Artificial Intelligence, 316, 103829. https://doi.org/10.1016/j.artint.2022.103829

Education Sciences / Jul 04, 2018

Anderson, R., Boaler, J., & Dieckmann, J. (2018). Achieving Elusive Teacher Change through Challenging Myths about Learning: A Blended Approach. Education Sciences, 8(3), 98. https://doi.org/10.3390/educsci8030098

IEEE Security & Privacy / Sep 01, 2014

Chen, T. R., Shore, D. B., Zaccaro, S. J., Dalal, R. S., Tetrick, L. E., & Gorab, A. K. (2014). An Organizational Psychology Perspective to Examining Computer Security Incident Response Teams. IEEE Security & Privacy, 12(5), 61–67. https://doi.org/10.1109/msp.2014.85

International Journal of Business Intelligence Research / Jul 01, 2010

Park, J., Fables, W., Parker, K. R., & Nitse, P. S. (2010). The Role of Culture in Business Intelligence. International Journal of Business Intelligence Research, 1(3), 1–14. https://doi.org/10.4018/jbir.2010070101

IEEE Computer Architecture Letters / Jul 01, 2021

Rucker, A., Shahbaz, M., & Olukotun, K. (2021). Chopping off the Tail: Bounded Non-Determinism for Real-Time Accelerators. IEEE Computer Architecture Letters, 20(2), 110–113. https://doi.org/10.1109/lca.2021.3102224

IEEE/ACM Transactions on Networking / Dec 01, 2020

Shahbaz, M., Suresh, L., Rexford, J., Feamster, N., Rottenstreich, O., & Hira, M. (2020). Elmo: Source Routed Multicast for Public Clouds. IEEE/ACM Transactions on Networking, 28(6), 2587–2600. https://doi.org/10.1109/tnet.2020.3020869

mSystems / Jun 28, 2022

Wang, Z., Lopez-Giraldez, F., Slot, J., Yarden, O., Trail, F., & Townsend, J. P. (2022). Secondary Metabolism Gene Clusters Exhibit Increasingly Dynamic and Differential Expression during Asexual Growth, Conidiation, and Sexual Development in Neurospora crassa. MSystems, 7(3). https://doi.org/10.1128/msystems.00232-22

PLOS Computational Biology / Jun 09, 2021

Wells, C. R., Cao, Y., Durham, D. P., Byrareddy, S. N., Ansari, A. A., Ruddle, N. H., Townsend, J. P., Galvani, A. P., & Perelson, A. S. (2021). Mechanistic basis of post-treatment control of SIV after anti-α4β7 antibody therapy. PLOS Computational Biology, 17(6), e1009031. https://doi.org/10.1371/journal.pcbi.1009031

Molecular Systems Biology / Mar 01, 2021

Klein, M. I., Cannataro, V. L., Townsend, J. P., Newman, S., Stern, D. F., & Zhao, H. (2021). Identifying modules of cooperating cancer drivers. Molecular Systems Biology, 17(3). Portico. https://doi.org/10.15252/msb.20209810

Bioinformatics / Aug 08, 2016

Gaffney, S. G., & Townsend, J. P. (2016). PathScore: a web tool for identifying altered pathways in cancer data. Bioinformatics, 32(23), 3688–3690. https://doi.org/10.1093/bioinformatics/btw512

Bioinformatics / Jun 03, 2013

Dai, L., Tian, M., Wu, J., Xiao, J., Wang, X., Townsend, J. P., & Zhang, Z. (2013). AuthorReward: increasing community curation in biological knowledge wikis through automated authorship quantification. Bioinformatics, 29(14), 1837–1839. https://doi.org/10.1093/bioinformatics/btt284

BMC Bioinformatics / Mar 22, 2012

Zhang, Z., Li, J., Cui, P., Ding, F., Li, A., Townsend, J. P., & Yu, J. (2012). Codon Deviation Coefficient: a novel measure for estimating codon usage bias and its statistical significance. BMC Bioinformatics, 13(1). https://doi.org/10.1186/1471-2105-13-43

Bioinformatics / Jun 10, 2010

Zhang, Z., López-Giráldez, F., & Townsend, J. P. (2010). LOX: inferring Level Of eXpression from diverse methods of census sequencing. Bioinformatics, 26(15), 1918–1919. https://doi.org/10.1093/bioinformatics/btq303

PLoS Computational Biology / Jun 26, 2009

Zhang, Z., & Townsend, J. P. (2009). Maximum-Likelihood Model Averaging To Profile Clustering of Site Types across Discrete Linear Sequences. PLoS Computational Biology, 5(6), e1000421. https://doi.org/10.1371/journal.pcbi.1000421

Evolutionary Bioinformatics / Jan 01, 2009

Wang, Z., López-Giréidez, F., & Townsend, J. P. (2009). Article Commentary: Snapshots of Tree Space. Evolutionary Bioinformatics, 5, EBO.S3416. https://doi.org/10.4137/ebo.s3416

Briefings in Bioinformatics / Oct 08, 2008

Zhang, Z., Cheung, K.-H., & Townsend, J. P. (2008). Bringing Web 2.0 to bioinformatics. Briefings in Bioinformatics, 10(1), 1–10. https://doi.org/10.1093/bib/bbn041

Journal of Biomedical Informatics / Oct 01, 2008

Cheung, K.-H., Yip, K. Y., Townsend, J. P., & Scotch, M. (2008). HCLS 2.0/3.0: Health care and life sciences data mashup using Web 2.0/3.0. Journal of Biomedical Informatics, 41(5), 694–705. https://doi.org/10.1016/j.jbi.2008.04.001

Briefings in Bioinformatics / Jan 01, 2005

Meiklejohn, C. D., & Townsend, J. P. (2005). A Bayesian method for analysing spotted microarray data. Briefings in Bioinformatics, 6(4), 318–330. https://doi.org/10.1093/bib/6.4.318

IEEE Transactions on Computational Imaging / Jan 01, 2020

Kellman, M., Zhang, K., Markley, E., Tamir, J., Bostan, E., Lustig, M., & Waller, L. (2020). Memory-Efficient Learning for Large-Scale Computational Imaging. IEEE Transactions on Computational Imaging, 6, 1403–1414. https://doi.org/10.1109/tci.2020.3025735

ACM Computing Surveys / Dec 06, 2017

Li, J., Cheng, K., Wang, S., Morstatter, F., Trevino, R. P., Tang, J., & Liu, H. (2017). Feature Selection. ACM Computing Surveys, 50(6), 1–45. https://doi.org/10.1145/3136625

Big Data / Jun 01, 2020

Shu, K., Mahudeswaran, D., Wang, S., Lee, D., & Liu, H. (2020). FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media. Big Data, 8(3), 171–188. https://doi.org/10.1089/big.2020.0062

Cognitive Computation / Aug 17, 2017

Li, Y., Pan, Q., Yang, T., Wang, S., Tang, J., & Cambria, E. (2017). Learning Word Representations for Sentiment Analysis. Cognitive Computation, 9(6), 843–851. https://doi.org/10.1007/s12559-017-9492-2

Information Sciences / Jun 01, 2018

Li, Y., Pan, Q., Wang, S., Yang, T., & Cambria, E. (2018). A Generative Model for category text generation. Information Sciences, 450, 301–315. https://doi.org/10.1016/j.ins.2018.03.050

Neurocomputing / Feb 01, 2015

Peng, Y., Wang, S., Long, X., & Lu, B.-L. (2015). Discriminative graph regularized extreme learning machine and its application to face recognition. Neurocomputing, 149, 340–353. https://doi.org/10.1016/j.neucom.2013.12.065

Knowledge-Based Systems / May 01, 2019

Li, Y., Wang, S., Pan, Q., Peng, H., Yang, T., & Cambria, E. (2019). Learning binary codes with neural collaborative filtering for efficient recommendation systems. Knowledge-Based Systems, 172, 64–75. https://doi.org/10.1016/j.knosys.2019.02.012

Information Sciences / May 01, 2019

Li, Y., Pan, Q., Wang, S., Peng, H., Yang, T., & Cambria, E. (2019). Disentangled Variational Auto-Encoder for semi-supervised learning. Information Sciences, 482, 73–85. https://doi.org/10.1016/j.ins.2018.12.057

IEEE Transactions on Knowledge and Data Engineering / Jun 01, 2018

Wang, S., Tang, J., Wang, Y., & Liu, H. (2018). Exploring Hierarchical Structures for Recommender Systems. IEEE Transactions on Knowledge and Data Engineering, 30(6), 1022–1035. https://doi.org/10.1109/tkde.2018.2789443

Neural Networks / May 01, 2015

Peng, Y., Lu, B.-L., & Wang, S. (2015). Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning. Neural Networks, 65, 1–17. https://doi.org/10.1016/j.neunet.2015.01.001

World Wide Web / Jul 14, 2018

Meng, X., Wang, S., Shu, K., Li, J., Chen, B., Liu, H., & Zhang, Y. (2018). Towards privacy preserving social recommendation under personalized privacy settings. World Wide Web, 22(6), 2853–2881. https://doi.org/10.1007/s11280-018-0620-z

ACM Transactions on Intelligent Systems and Technology / Oct 29, 2018

Wang, S., Aggarwal, C., & Liu, H. (2018). Random-Forest-Inspired Neural Networks. ACM Transactions on Intelligent Systems and Technology, 9(6), 1–25. https://doi.org/10.1145/3232230

IEEE Transactions on Knowledge and Data Engineering / Oct 01, 2017

Ranganath, S., Wang, S., Hu, X., Tang, J., & Liu, H. (2017). Facilitating Time Critical Information Seeking in Social Media. IEEE Transactions on Knowledge and Data Engineering, 29(10), 2197–2209. https://doi.org/10.1109/tkde.2017.2701375

Neurocomputing / Oct 01, 2020

Li, Y., Wang, S., Ma, Y., Pan, Q., & Cambria, E. (2020). Popularity prediction on vacation rental websites. Neurocomputing, 412, 372–380. https://doi.org/10.1016/j.neucom.2020.05.092

ACM Transactions on Intelligent Systems and Technology / Jan 10, 2018

Ranganath, S., Hu, X., Tang, J., Wang, S., & Liu, H. (2018). Understanding and Identifying Rhetorical Questions in Social Media. ACM Transactions on Intelligent Systems and Technology, 9(2), 1–22. https://doi.org/10.1145/3108364

Information Sciences / Sep 01, 2021

Meng, X., Wang, S., Liang, Z., Yao, D., Zhou, J., & Zhang, Y. (2021). Semi-supervised anomaly detection in dynamic communication networks. Information Sciences, 571, 527–542. https://doi.org/10.1016/j.ins.2021.04.056

IEEE Access / Jan 01, 2020

Samuel, J., Rahman, Md. M., Ali, G. G. Md. N., Samuel, Y., Pelaez, A., Chong, P. H. J., & Yakubov, M. (2020). Feeling Positive About Reopening? New Normal Scenarios From COVID-19 US Reopen Sentiment Analytics. IEEE Access, 8, 142173–142190. https://doi.org/10.1109/access.2020.3013933

Journal of Information Technology / Feb 24, 2023

Fast, V., Schnurr, D., & Wohlfarth, M. (2023). Regulation of data-driven market power in the digital economy: Business value creation and competitive advantages from big data. Journal of Information Technology, 026839622211143. https://doi.org/10.1177/02683962221114394

Foundations and Trends® in Machine Learning / Jan 01, 2009

Goldenberg, A. (2009). A Survey of Statistical Network Models. Foundations and Trends® in Machine Learning, 2(2), 129–233. https://doi.org/10.1561/2200000005

Bioinformatics / Jan 22, 2015

Katz, Y., Wang, E. T., Silterra, J., Schwartz, S., Wong, B., Thorvaldsdóttir, H., Robinson, J. T., Mesirov, J. P., Airoldi, E. M., & Burge, C. B. (2015). Quantitative visualization of alternative exon expression from RNA-seq data. Bioinformatics, 31(14), 2400–2402. https://doi.org/10.1093/bioinformatics/btv034

PLOS Computational Biology / May 08, 2017

Franks, A., Airoldi, E., & Slavov, N. (2017). Post-transcriptional regulation across human tissues. PLOS Computational Biology, 13(5), e1005535. https://doi.org/10.1371/journal.pcbi.1005535

Information Systems Research / Dec 01, 2016

Cavusoglu, H., Phan, T. Q., Cavusoglu, H., & Airoldi, E. M. (2016). Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook. Information Systems Research, 27(4), 848–879. https://doi.org/10.1287/isre.2016.0672

PLoS Computational Biology / Dec 16, 2010

Markowetz, F., Mulder, K. W., Airoldi, E. M., Lemischka, I. R., & Troyanskaya, O. G. (2010). Mapping Dynamic Histone Acetylation Patterns to Gene Expression in Nanog-Depleted Murine Embryonic Stem Cells. PLoS Computational Biology, 6(12), e1001034. https://doi.org/10.1371/journal.pcbi.1001034

Information Systems Research / Mar 01, 2019

Bhattacharya, P., Phan, T. Q., Bai, X., & Airoldi, E. M. (2019). A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks. Information Systems Research, 30(1), 117–132. https://doi.org/10.1287/isre.2018.0790

IEEE Transactions on Network Science and Engineering / Jul 01, 2019

Kao, E. K., Smith, S. T., & Airoldi, E. M. (2019). Hybrid Mixed-Membership Blockmodel for Inference on Realistic Network Interactions. IEEE Transactions on Network Science and Engineering, 6(3), 336–350. https://doi.org/10.1109/tnse.2018.2823324

Statistics and Computing / Jun 11, 2015

Toulis, P., & Airoldi, E. M. (2015). Scalable estimation strategies based on stochastic approximations: classical results and new insights. Statistics and Computing, 25(4), 781–795. https://doi.org/10.1007/s11222-015-9560-y

The Annals of Applied Statistics / Dec 01, 2013

Airoldi, E. M., Wang, X., & Lin, X. (2013). Multi-way blockmodels for analyzing coordinated high-dimensional responses. The Annals of Applied Statistics, 7(4). https://doi.org/10.1214/13-aoas643

Statistical Analysis and Data Mining / Sep 09, 2011

Airoldi, E. M., Choi, D. S., & Wolfe, P. J. (2011). Confidence sets for network structure. Statistical Analysis and Data Mining, 4(5), 461–469. https://doi.org/10.1002/sam.10136

Decision Support Systems / Jun 01, 2011

Airoldi, E. M., Bai, X., & Carley, K. M. (2011). Network sampling and classification: An investigation of network model representations. Decision Support Systems, 51(3), 506–518. https://doi.org/10.1016/j.dss.2011.02.014

Decision Support Systems / Apr 01, 2011

Airoldi, E. M., Bai, X., & Malin, B. A. (2011). An entropy approach to disclosure risk assessment: Lessons from real applications and simulated domains. Decision Support Systems, 51(1), 10–20. https://doi.org/10.1016/j.dss.2010.11.014

The Annals of Applied Statistics / Jun 01, 2010

Silva, R., Heller, K., Ghahramani, Z., & Airoldi, E. M. (2010). Ranking relations using analogies in biological and information networks. The Annals of Applied Statistics, 4(2). https://doi.org/10.1214/09-aoas321

PLoS Computational Biology / Jan 02, 2009

Airoldi, E. M., Huttenhower, C., Gresham, D., Lu, C., Caudy, A. A., Dunham, M. J., Broach, J. R., Botstein, D., & Troyanskaya, O. G. (2009). Predicting Cellular Growth from Gene Expression Signatures. PLoS Computational Biology, 5(1), e1000257. https://doi.org/10.1371/journal.pcbi.1000257

PLoS Computational Biology / Dec 07, 2007

Airoldi, E. M. (2007). Getting Started in Probabilistic Graphical Models. PLoS Computational Biology, 3(12), e252. https://doi.org/10.1371/journal.pcbi.0030252

Computational and Mathematical Organization Theory / Jul 01, 2005

Malin, B., Airoldi, E., & Carley, K. M. (2005). A Network Analysis Model for Disambiguation of Names in Lists. Computational and Mathematical Organization Theory, 11(2), 119–139. https://doi.org/10.1007/s10588-005-3940-3

IEEE Transactions on Knowledge and Data Engineering / Jan 01, 2007

Elmagarmid, A. K., Ipeirotis, P. G., & Verykios, V. S. (2007). Duplicate Record Detection: A Survey. IEEE Transactions on Knowledge and Data Engineering, 19(1), 1–16. https://doi.org/10.1109/tkde.2007.250581

IEEE Transactions on Knowledge and Data Engineering / Oct 01, 2011

Ghose, A., & Ipeirotis, P. G. (2011). Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics. IEEE Transactions on Knowledge and Data Engineering, 23(10), 1498–1512. https://doi.org/10.1109/tkde.2010.188

Computational Linguistics / Jun 01, 2011

Fort, K., Adda, G., & Cohen, K. B. (2011). Amazon Mechanical Turk: Gold Mine or Coal Mine? Computational Linguistics, 37(2), 413–420. https://doi.org/10.1162/coli_a_00057

International Journal of Architectural Computing / Jun 01, 2019

Krietemeyer, B., Bartosh, A., & Covington, L. (2019). A shared realities workflow for interactive design using virtual reality and three-dimensional depth sensing. International Journal of Architectural Computing, 17(2), 220–235. https://doi.org/10.1177/1478077119852577

SoftwareX / Jan 01, 2021

Rich Abbott, Thomas D. Abbott, Sheelu Abraham, Fausto Acernese, Kendall Ackley, Carl Adams, Rana X. Adhikari, Vaishali B. Adya, Christoph Affeldt, Michalis Agathos, Kazuhiro Agatsuma, Nancy Aggarwal, Odylio D. Aguiar, Amit Aich, Lorenzo Aiello, Anirban Ain, Ajith Parameswaran, Gabrielle Allen, Annalisa Allocca, … John Zweizig. (2021). Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo. SoftwareX, 13, 100658. https://doi.org/10.1016/j.softx.2021.100658

Computers in Human Behavior / Nov 01, 2014

O’Neill, T. A., Hambley, L. A., & Chatellier, G. S. (2014). Cyberslacking, engagement, and personality in distributed work environments. Computers in Human Behavior, 40, 152–160. https://doi.org/10.1016/j.chb.2014.08.005

Computers in Human Behavior / May 01, 2014

O’Neill, T. A., Hambley, L. A., & Bercovich, A. (2014). Prediction of cyberslacking when employees are working away from the office. Computers in Human Behavior, 34, 291–298. https://doi.org/10.1016/j.chb.2014.02.015

Journal of Cybersecurity / Jan 01, 2021

Makridis, C. A. (2021). Do data breaches damage reputation? Evidence from 45 companies between 2002 and 2018. Journal of Cybersecurity, 7(1). https://doi.org/10.1093/cybsec/tyab021

Computers in Biology and Medicine / Jun 01, 2021

Makridis, C. A., Zhao, D. Y., Bejan, C. A., & Alterovitz, G. (2021). Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans. Computers in Biology and Medicine, 133, 104354. https://doi.org/10.1016/j.compbiomed.2021.104354

BMJ Health & Care Informatics / Jun 01, 2021

Makridis, C. A., Strebel, T., Marconi, V., & Alterovitz, G. (2021). Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs. BMJ Health & Care Informatics, 28(1), e100312. https://doi.org/10.1136/bmjhci-2020-100312

Computers in Human Behavior / Dec 01, 2019

Fitz, N., Kushlev, K., Jagannathan, R., Lewis, T., Paliwal, D., & Ariely, D. (2019). Batching smartphone notifications can improve well-being. Computers in Human Behavior, 101, 84–94. https://doi.org/10.1016/j.chb.2019.07.016

Computers in Human Behavior / Feb 01, 2019

Kushlev, K., Hunter, J. F., Proulx, J., Pressman, S. D., & Dunn, E. (2019). Smartphones reduce smiles between strangers. Computers in Human Behavior, 91, 12–16. https://doi.org/10.1016/j.chb.2018.09.023

Computers in Human Behavior / Nov 01, 2017

Kushlev, K., Proulx, J. D. E., & Dunn, E. W. (2017). Digitally connected, socially disconnected: The effects of relying on technology rather than other people. Computers in Human Behavior, 76, 68–74. https://doi.org/10.1016/j.chb.2017.07.001

Computers in Human Behavior / Feb 01, 2015

Kushlev, K., & Dunn, E. W. (2015). Checking email less frequently reduces stress. Computers in Human Behavior, 43, 220–228. https://doi.org/10.1016/j.chb.2014.11.005

ACM Transactions on Graphics / Aug 31, 2019

Maia, H. T., Li, D., Yang, Y., & Zheng, C. (2019). LayerCode. ACM Transactions on Graphics, 38(4), 1–14. https://doi.org/10.1145/3306346.3322960

IEEE Transactions on Robotics / Jun 01, 2022

Hu, L., Navarro-Alarcon, D., Cherubini, A., Li, M., & Li, L. (2022). On Radiation-Based Thermal Servoing: New Models, Controls, and Experiments. IEEE Transactions on Robotics, 38(3), 1945–1958. https://doi.org/10.1109/tro.2021.3119399

Discrete Mathematics / May 01, 2019

Dankelmann, P., & Osaye, F. J. (2019). Average eccentricity,<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll" id="d1e86" altimg="si36.gif"><mml:mi>k</mml:mi></mml:math>-packing and<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll" id="d1e91" altimg="si36.gif"><mml:mi>k</mml:mi></mml:math>-domination in graphs. Discrete Mathematics, 342(5), 1261–1274. https://doi.org/10.1016/j.disc.2019.01.004

Journal of Combinatorial Optimization / Jun 26, 2020

Dankelmann, P., & Osaye, F. J. (2020). Average eccentricity, minimum degree and maximum degree in graphs. Journal of Combinatorial Optimization, 40(3), 697–712. https://doi.org/10.1007/s10878-020-00616-x

Journal of Combinatorial Optimization / Jun 26, 2020

Dankelmann, P., & Osaye, F. J. (2020). Average eccentricity, minimum degree and maximum degree in graphs. Journal of Combinatorial Optimization, 40(3), 697–712. https://doi.org/10.1007/s10878-020-00616-x

Applied Sciences / Nov 02, 2022

Obaido, G., Ogbuokiri, B., Swart, T. G., Ayawei, N., Kasongo, S. M., Aruleba, K., Mienye, I. D., Aruleba, I., Chukwu, W., Osaye, F., Egbelowo, O. F., Simphiwe, S., & Esenogho, E. (2022). An Interpretable Machine Learning Approach for Hepatitis B Diagnosis. Applied Sciences, 12(21), 11127. https://doi.org/10.3390/app122111127

Discrete Mathematics / Dec 01, 2022

Osaye, F. J. (2022). The average eccentricity of a graph with prescribed girth. Discrete Mathematics, 345(12), 113066. https://doi.org/10.1016/j.disc.2022.113066

International Journal of Innovative Technology and Exploring Engineering / Jan 30, 2020

Pattnaik*, P., & Bhowmick, P. K. (2020). Determination of Water Quality Index of Drinking Water Sources and Health Risk Assessment of Arsenic-Contaminated Rural Areas in Basirhat-1 Block of West Bengal. International Journal of Innovative Technology and Exploring Engineering, 9(3), 677–684. https://doi.org/10.35940/ijitee.c8372.019320

IEEE Internet of Things Journal / Dec 15, 2021

Cascales, J. P., Greenfield, D. A., Roussakis, E., Witthauer, L., Li, X., Goss, A., & Evans, C. L. (2021). Wireless Wearable Sensor Paired With Machine Learning for the Quantification of Tissue Oxygenation. IEEE Internet of Things Journal, 8(24), 17557–17567. https://doi.org/10.1109/jiot.2021.3081044

Biomechanics and Modeling in Mechanobiology / Aug 04, 2020

Corti, A., De Paolis, A., Tarbell, J., & Cardoso, L. (2020). Stenting-induced Vasa Vasorum compression and subsequent flow resistance: a finite element study. Biomechanics and Modeling in Mechanobiology, 20(1), 121–133. https://doi.org/10.1007/s10237-020-01372-x

International Journal of Health Geographics / Aug 02, 2005

Ozdenerol, E., Williams, B. L., Kang, S. Y., & Magsumbol, M. S. (2005). Comparison of spatial scan statistic and spatial filtering in estimating low birth weight clusters. International Journal of Health Geographics, 4(1). https://doi.org/10.1186/1476-072x-4-19

IEEE Intelligent Systems / Mar 01, 2020

Cao, L., Yuan, G., Leung, T., & Zhang, W. (2020). Special Issue on AI and FinTech: The Challenge Ahead. IEEE Intelligent Systems, 35(2), 3–6. https://doi.org/10.1109/mis.2020.2983494

Applied Stochastic Models in Business and Industry / May 03, 2021

Leung, T., & Zhao, T. (2021). Financial time series analysis and forecasting with Hilbert–Huang transform feature generation and machine learning. Applied Stochastic Models in Business and Industry, 37(6), 993–1016. Portico. https://doi.org/10.1002/asmb.2625

Automatica / Jan 01, 2020

Zhang, J., Leung, T., & Aravkin, A. (2020). Sparse mean-reverting portfolios via penalized likelihood optimization. Automatica, 111, 108651. https://doi.org/10.1016/j.automatica.2019.108651

European Journal of Operational Research / Mar 01, 2016

Kim, J., & Leung, T. (2016). Pricing derivatives with counterparty risk and collateralization: A fixed point approach. European Journal of Operational Research, 249(2), 525–539. https://doi.org/10.1016/j.ejor.2015.06.055

Stochastic Models / Jul 16, 2015

Leung, T., Li, X., & Wang, Z. (2015). Optimal Multiple Trading Times Under the Exponential OU Model with Transaction Costs. Stochastic Models, 31(4), 554–587. https://doi.org/10.1080/15326349.2015.1058717

Stochastic Processes and their Applications / Feb 01, 2013

Egami, M., Leung, T., & Yamazaki, K. (2013). Default swap games driven by spectrally negative Lévy processes. Stochastic Processes and Their Applications, 123(2), 347–384. https://doi.org/10.1016/j.spa.2012.09.008

Stochastics / Jun 19, 2012

Leung, T., Sircar, R., & Zariphopoulou, T. (2012). Forward indifference valuation of American options. Stochastics, 84(5–6), 741–770. https://doi.org/10.1080/17442508.2012.694438

Operations Research / Jun 01, 2006

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Journal of Asset Management / Nov 03, 2016

Blanchett, D., & Straehl, P. (2016). Portfolio implications of job-specific human capital risk. Journal of Asset Management, 18(1), 1–15. https://doi.org/10.1057/s41260-016-0031-6

IEEE Transactions on Computers / May 01, 2007

Gupta, U., & Ranganathan, N. (2007). Multievent Crisis Management Using Noncooperative Multistep Games. IEEE Transactions on Computers, 56(5), 577–589. https://doi.org/10.1109/tc.2007.1023

IEEE Transactions on Knowledge and Data Engineering / Apr 01, 2010

Gupta, U., & Ranganathan, N. (2010). A Game Theoretic Approach for Simultaneous Compaction and Equipartitioning of Spatial Data Sets. IEEE Transactions on Knowledge and Data Engineering, 22(4), 465–478. https://doi.org/10.1109/tkde.2009.110

IEEE Transactions on Very Large Scale Integration (VLSI) Systems / Sep 01, 2011

Gupta, U., & Ranganathan, N. (2011). A Utilitarian Approach to Variation Aware Delay, Power, and Crosstalk Noise Optimization. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 19(9), 1723–1726. https://doi.org/10.1109/tvlsi.2010.2053394

ACM Transactions on Design Automation of Electronic Systems / Aug 01, 2009

Ranganathan, N., Gupta, U., & Mahalingam, V. (2009). Variation-aware multimetric optimization during gate sizing. ACM Transactions on Design Automation of Electronic Systems, 14(4), 1–30. https://doi.org/10.1145/1562514.1562522

Nature Machine Intelligence / Jul 15, 2020

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AI Magazine / Jul 04, 2016

Liu, J., Bier, E., Wilson, A., Guerra-Gomez, J. A., Honda, T., Sricharan, K., Gilpin, L., & Davies, D. (2016). Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data. AI Magazine, 37(2), 33–46. https://doi.org/10.1609/aimag.v37i2.2630

Artificial Intelligence and Law / May 26, 2020

Araszkiewicz, M., Amantea, I. A., Chakravarty, S., van Doesburg, R., Dymitruk, M., Garin, M., Gilpin, L., Odekerken, D., & Salehi, S. S. (2020). ICAIL Doctoral Consortium, Montreal 2019. Artificial Intelligence and Law, 28(2), 267–280. https://doi.org/10.1007/s10506-020-09267-z

AI &amp; SOCIETY / Mar 16, 2022

Jenkins, R., Hammond, K., Spurlock, S., & Gilpin, L. (2022). Separating facts and evaluation: motivation, account, and learnings from a novel approach to evaluating the human impacts of machine learning. AI &amp; SOCIETY. https://doi.org/10.1007/s00146-022-01417-y

AI Magazine / Sep 30, 2019

Baldini, I., Barrett, C., Chella, A., Cinelli, C., Gamez, D., Gilpin, L., Hinkelmann, K., Holmes, D., Kido, T., Kocaoglu, M., Lawless, W., Lomuscio, A., Macbeth, J., Martin, A., Mittu, R., Patterson, E., Sofge, D., Tadepalli, P., Takadama, K., & Wilson, S. (2019). Reports of the AAAI 2019 Spring Symposium Series. AI Magazine, 40(3), 59–66. https://doi.org/10.1609/aimag.v40i3.5181

Journal of Information, Communication and Ethics in Society / Jun 09, 2020

Ryan, M., & Stahl, B. C. (2020). Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications. Journal of Information, Communication and Ethics in Society, 19(1), 61–86. https://doi.org/10.1108/jices-12-2019-0138

International Journal of Pervasive Computing and Communications / Aug 06, 2020

Ryan, M. (2020). In defence of digital contact-tracing: human rights, South Korea and Covid-19. International Journal of Pervasive Computing and Communications, 16(4), 383–407. https://doi.org/10.1108/ijpcc-07-2020-0081

AI &amp; SOCIETY / Feb 16, 2021

Stahl, B. C., Antoniou, J., Ryan, M., Macnish, K., & Jiya, T. (2021). Organisational responses to the ethical issues of artificial intelligence. AI &amp; SOCIETY, 37(1), 23–37. https://doi.org/10.1007/s00146-021-01148-6

AI &amp; SOCIETY / Jan 03, 2022

Ryan, M. (2022). The social and ethical impacts of artificial intelligence in agriculture: mapping the agricultural AI literature. AI &amp; SOCIETY. https://doi.org/10.1007/s00146-021-01377-9

AI &amp; SOCIETY / Mar 31, 2022

Ryan, M., Christodoulou, E., Antoniou, J., & Iordanou, K. (2022). An AI ethics ‘David and Goliath’: value conflicts between large tech companies and their employees. AI &amp; SOCIETY. https://doi.org/10.1007/s00146-022-01430-1

Frontiers in Big Data / Sep 11, 2019

Moore, J. (2019). AI for Not Bad. Frontiers in Big Data, 2. https://doi.org/10.3389/fdata.2019.00032

Ethics and Information Technology / Jul 10, 2020

van der Burg, S., Wiseman, L., & Krkeljas, J. (2020). Trust in farm data sharing: reflections on the EU code of conduct for agricultural data sharing. Ethics and Information Technology, 23(3), 185–198. https://doi.org/10.1007/s10676-020-09543-1

Ethics and Information Technology / Jul 10, 2020

van der Burg, S., Wiseman, L., & Krkeljas, J. (2020). Trust in farm data sharing: reflections on the EU code of conduct for agricultural data sharing. Ethics and Information Technology, 23(3), 185–198. https://doi.org/10.1007/s10676-020-09543-1

Computer Networks / Oct 01, 2009

Antoniou, J., Koukoutsidis, I., Jaho, E., Pitsillides, A., & Stavrakakis, I. (2009). Access network synthesis game in next generation networks. Computer Networks, 53(15), 2716–2726. https://doi.org/10.1016/j.comnet.2009.06.006

Computer Networks / Sep 01, 2010

Antoniou, J., Papadopoulou, V., Vassiliou, V., & Pitsillides, A. (2010). Cooperative user–network interactions in next generation communication networks. Computer Networks, 54(13), 2239–2255. https://doi.org/10.1016/j.comnet.2010.03.013

AI &amp; SOCIETY / Feb 16, 2021

Stahl, B. C., Antoniou, J., Ryan, M., Macnish, K., & Jiya, T. (2021). Organisational responses to the ethical issues of artificial intelligence. AI &amp; SOCIETY, 37(1), 23–37. https://doi.org/10.1007/s00146-021-01148-6

International Journal of Autonomous and Adaptive Communications Systems / Jan 01, 2012

Antoniou, J., Christophorou, C., Simoes, J., & Pitsillides, A. (2012). Adaptive network-aided session support in context-aware converged mobile networks. International Journal of Autonomous and Adaptive Communications Systems, 5(3), 201. https://doi.org/10.1504/ijaacs.2012.047656

AI &amp; SOCIETY / Mar 31, 2022

Ryan, M., Christodoulou, E., Antoniou, J., & Iordanou, K. (2022). An AI ethics ‘David and Goliath’: value conflicts between large tech companies and their employees. AI &amp; SOCIETY. https://doi.org/10.1007/s00146-022-01430-1

Chinese Journal of Computers / Dec 01, 2010

CHEN, Q.-B., ZHOU, W.-G., CHAI, R., & TANG, L. (2010). Game-Theoretic Approach for Network Access Selection in Heterogeneous Integrated Networks. Chinese Journal of Computers, 33(9), 1643–1652. https://doi.org/10.3724/sp.j.1016.2010.01643

Mobile Networks and Applications / Apr 07, 2010

Antoniou, J., Pinto, F. C., Simoes, J., & Pitsillides, A. (2010). Supporting Context-Aware Multiparty Sessions in Heterogeneous Mobile Networks. Mobile Networks and Applications, 15(6), 831–844. https://doi.org/10.1007/s11036-010-0235-9

Robotics and Autonomous Systems / Dec 01, 2016

Stahl, B. C., & Coeckelbergh, M. (2016). Ethics of healthcare robotics: Towards responsible research and innovation. Robotics and Autonomous Systems, 86, 152–161. https://doi.org/10.1016/j.robot.2016.08.018

Information Systems Journal / Mar 01, 2008

Stahl, B. C. (2008). The ethical nature of critical research in information systems. Information Systems Journal, 18(2), 137–163. https://doi.org/10.1111/j.1365-2575.2007.00283.x

Ethics and Information Technology / Jan 19, 2011

Zheng, Y., & Stahl, B. C. (2011). Technology, capabilities and critical perspectives: what can critical theory contribute to Sen’s capability approach? Ethics and Information Technology, 13(2), 69–80. https://doi.org/10.1007/s10676-011-9264-8

IEEE Security &amp; Privacy / May 01, 2018

Stahl, B. C., & Wright, D. (2018). Ethics and Privacy in AI and Big Data: Implementing Responsible Research and Innovation. IEEE Security &amp; Privacy, 16(3), 26–33. https://doi.org/10.1109/msp.2018.2701164

Information &amp; Management / Sep 01, 2014

Stahl, B. C., Eden, G., Jirotka, M., & Coeckelbergh, M. (2014). From computer ethics to responsible research and innovation in ICT. Information &amp; Management, 51(6), 810–818. https://doi.org/10.1016/j.im.2014.01.001

Communications of the ACM / Apr 24, 2017

Jirotka, M., Grimpe, B., Stahl, B., Eden, G., & Hartswood, M. (2017). Responsible research and innovation in the digital age. Communications of the ACM, 60(5), 62–68. https://doi.org/10.1145/3064940

Journal of Information, Communication and Ethics in Society / Jun 09, 2020

Ryan, M., & Stahl, B. C. (2020). Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications. Journal of Information, Communication and Ethics in Society, 19(1), 61–86. https://doi.org/10.1108/jices-12-2019-0138

Minds and Machines / Feb 01, 2004

Carsten Stahl, B. (2004). Information, Ethics, and Computers: The Problem of Autonomous Moral Agents. Minds and Machines, 14(1), 67–83. https://doi.org/10.1023/b:mind.0000005136.61217.93

Journal of the Association for Information Systems / Aug 01, 2012

Stahl, B. (2012). Morality, Ethics, and Reflection: A Categorization of Normative IS Research. Journal of the Association for Information Systems, 13(8), 636–656. https://doi.org/10.17705/1jais.00304

Journal of Information, Communication and Ethics in Society / Aug 16, 2011

Carsten Stahl, B. (2011). IT for a better future: how to integrate ethics, politics and innovation. Journal of Information, Communication and Ethics in Society, 9(3), 140–156. https://doi.org/10.1108/14779961111167630

Communications of the Association for Information Systems / Jan 01, 2015

Wall, J. D., Stahl, B. C., & Salam, A. F. (2015). Critical Discourse Analysis as a Review Methodology: An Empirical Example. Communications of the Association for Information Systems, 37. https://doi.org/10.17705/1cais.03711

Journal of Global Information Technology Management / Oct 01, 2004

Stahl, B. C., & Elbeltagi, I. (2004). Cultural Universality Versus Particularity in CMC. Journal of Global Information Technology Management, 7(4), 47–65. https://doi.org/10.1080/1097198x.2004.10856384

European Journal of Information Systems / May 04, 2018

Hassan, N. R., Mingers, J., & Stahl, B. (2018). Philosophy and information systems: where are we and where should we go? European Journal of Information Systems, 27(3), 263–277. https://doi.org/10.1080/0960085x.2018.1470776

Social Media + Society / Jan 01, 2018

Housley, W., Webb, H., Williams, M., Procter, R., Edwards, A., Jirotka, M., Burnap, P., Stahl, B. C., Rana, O., & Williams, M. (2018). Interaction and Transformation on Social Media: The Case of Twitter Campaigns. Social Media + Society, 4(1), 205630511775072. https://doi.org/10.1177/2056305117750721

Journal of the Association for Information Systems / Sep 01, 2007

Stahl, B. (2007). ETHICS, Morality and Critique: An Essay on Enid Mumford¡¯s Socio-Technical Approach. Journal of the Association for Information Systems, 8(9), 479–490. https://doi.org/10.17705/1jais.00138

Computers &amp; Security / Feb 01, 2015

Reece, R. P., & Stahl, B. C. (2015). The professionalisation of information security: Perspectives of UK practitioners. Computers &amp; Security, 48, 182–195. https://doi.org/10.1016/j.cose.2014.10.007

Journal of Organizational and End User Computing / Jul 01, 2004

Stahl, B. C. (2004). Responsibility for Information Assurance and Privacy. Journal of Organizational and End User Computing, 16(3), 59–77. https://doi.org/10.4018/joeuc.2004070104

Frontiers in Neuroinformatics / Apr 24, 2019

Fothergill, B. T., Knight, W., Stahl, B. C., & Ulnicane, I. (2019). Responsible Data Governance of Neuroscience Big Data. Frontiers in Neuroinformatics, 13. https://doi.org/10.3389/fninf.2019.00028

International Journal of Information Management / Feb 01, 2022

STAHL, B. C. (2022). Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence. International Journal of Information Management, 62, 102441. https://doi.org/10.1016/j.ijinfomgt.2021.102441

Journal of the Association for Information Systems / Mar 01, 2011

Shaw, M., & Stahl, B. (2011). On Quality and Communication: The Relevance of Critical Theory to Health Informatics. Journal of the Association for Information Systems, 12(3), 255–273. https://doi.org/10.17705/1jais.00261

European Journal of Information Systems / May 30, 2019

Hur, I., Cousins, K. C., & Stahl, B. C. (2019). A critical perspective of engagement in online health communities. European Journal of Information Systems, 28(5), 523–548. https://doi.org/10.1080/0960085x.2019.1620477

Journal of Information, Communication and Ethics in Society / Mar 04, 2014

Carsten Stahl, B. (2014). Participatory design as ethical practice – concepts, reality and conditions. Journal of Information, Communication and Ethics in Society, 12(1), 10–13. https://doi.org/10.1108/jices-11-2013-0044

Journal of Information, Communication and Ethics in Society / Mar 02, 2010

Carsten Stahl, B., McBride, N., & Elbeltagi, I. (2010). Development and emancipation. Journal of Information, Communication and Ethics in Society, 8(1), 85–107. https://doi.org/10.1108/14779961011024828

Interactive Technology and Smart Education / Feb 28, 2005

Carsten Stahl, B. (2005). E‐voting: an example of collaborative e‐teaching and e‐learning. Interactive Technology and Smart Education, 2(1), 19–30. https://doi.org/10.1108/17415650580000030

Computer Law &amp; Security Review / Jul 01, 2022

Stahl, B. C., Rodrigues, R., Santiago, N., & Macnish, K. (2022). A European Agency for Artificial Intelligence: Protecting fundamental rights and ethical values. Computer Law &amp; Security Review, 45, 105661. https://doi.org/10.1016/j.clsr.2022.105661

AI &amp; SOCIETY / Feb 16, 2021

Stahl, B. C., Antoniou, J., Ryan, M., Macnish, K., & Jiya, T. (2021). Organisational responses to the ethical issues of artificial intelligence. AI &amp; SOCIETY, 37(1), 23–37. https://doi.org/10.1007/s00146-021-01148-6

Ethics and Information Technology / Sep 14, 2020

Stahl, B. C. (2020). Emerging technologies as the next pandemic? Ethics and Information Technology, 23(S1), 135–137. https://doi.org/10.1007/s10676-020-09551-1

Journal of Responsible Innovation / May 04, 2021

Stahl, B. C., Akintoye, S., Bitsch, L., Bringedal, B., Eke, D., Farisco, M., Grasenick, K., Guerrero, M., Knight, W., Leach, T., Nyholm, S., Ogoh, G., Rosemann, A., Salles, A., Trattnig, J., & Ulnicane, I. (2021). From Responsible Research and Innovation to responsibility by design. Journal of Responsible Innovation, 8(2), 175–198. https://doi.org/10.1080/23299460.2021.1955613

ACM Transactions on Information Systems / Apr 20, 2016

Webb, H., Burnap, P., Procter, R., Rana, O., Stahl, B. C., Williams, M., Housley, W., Edwards, A., & Jirotka, M. (2016). Digital Wildfires. ACM Transactions on Information Systems, 34(3), 1–23. https://doi.org/10.1145/2893478

ACM Computing Surveys / Feb 22, 2016

Stahl, B. C., Timmermans, J., & Mittelstadt, B. D. (2016). The Ethics of Computing. ACM Computing Surveys, 48(4), 1–38. https://doi.org/10.1145/2871196

ACM Transactions on Computer-Human Interaction / Aug 24, 2015

Benford, S., Greenhalgh, C., Anderson, B., Jacobs, R., Golembewski, M., Jirotka, M., Stahl, B. C., Timmermans, J., Giannachi, G., Adams, M., Farr, J. R., Tandavanitj, N., & Jennings, K. (2015). The Ethical Implications of HCI’s Turn to the Cultural. ACM Transactions on Computer-Human Interaction, 22(5), 1–37. https://doi.org/10.1145/2775107

Journal of Information, Communication and Ethics in Society / Mar 09, 2015

Eke, D. O., Stahl, B. C., & Fidler, C. (2015). Understanding the relevance of ethics reviews of ICT research in UK computing departments using dialectical hermeneutics. Journal of Information, Communication and Ethics in Society, 13(1), 28–38. https://doi.org/10.1108/jices-03-2014-0015

European Journal of Information Systems / Jan 01, 2014

Stahl, B. C. (2014). Interpretive accounts and fairy tales: a critical polemic against the empiricist bias in interpretive IS research. European Journal of Information Systems, 23(1), 1–11. https://doi.org/10.1057/ejis.2012.58

ITNOW / Aug 14, 2014

Stahl, B. C., Jirotka, M., Eden, G., Timmermans, J., & Hartswood, M. (2014). Responsible Innovation. ITNOW, 56(3), 20–22. https://doi.org/10.1093/itnow/bwu068

Information Systems Frontiers / Mar 29, 2014

Wakunuma, K. J., & Stahl, B. C. (2014). Tomorrow’s ethics and today’s response: An investigation into the ways information systems professionals perceive and address emerging ethical issues. Information Systems Frontiers, 16(3), 383–397. https://doi.org/10.1007/s10796-014-9490-9

Journal of Organizational and End User Computing / Jul 01, 2012

Alzahrani, A., Stahl, B. C., & Prior, M. (2012). Developing an Instrument for E-Public Services’ Acceptance Using Confirmatory Factor Analysis. Journal of Organizational and End User Computing, 24(3), 18–44. https://doi.org/10.4018/joeuc.2012070102

Information Systems Journal / Jul 05, 2011

Stahl, B. C., Doherty, N. F., & Shaw, M. (2011). Information security policies in the UK healthcare sector: a critical evaluation. Information Systems Journal, 22(1), 77–94. https://doi.org/10.1111/j.1365-2575.2011.00378.x

European Journal of Information Systems / May 01, 2012

Stahl, B. C. (2012). Responsible research and innovation in information systems. European Journal of Information Systems, 21(3), 207–211. https://doi.org/10.1057/ejis.2012.19

European Journal of Information Systems / Jul 01, 2011

Stahl, B. C., Tremblay, M. C., & LeRouge, C. M. (2011). Focus groups and critical social IS research: how the choice of method can promote emancipation of respondents and researchers. European Journal of Information Systems, 20(4), 378–394. https://doi.org/10.1057/ejis.2011.21

European Journal of Information Systems / Jan 01, 2011

Junglas, I., Niehaves, B., Spiekermann, S., Stahl, B. C., Weitzel, T., Winter, R., & Baskerville, R. (2011). The inflation of academic intellectual capital: the case for design science research in Europe. European Journal of Information Systems, 20(1), 1–6. https://doi.org/10.1057/ejis.2010.57

Minds and Machines / Apr 10, 2009

Stahl, B. C. (2009). Lorenzo Magnani, Morality in a Technological World: Knowledge as Duty. Minds and Machines, 19(2), 297–299. https://doi.org/10.1007/s11023-009-9147-5

Ethics and Information Technology / Sep 01, 2008

Stahl, B. C. (2008). Discourses on information ethics: The claim to universality. Ethics and Information Technology, 10(2–3), 97–108. https://doi.org/10.1007/s10676-008-9171-9

Communications of the ACM / Mar 01, 2008

Stahl, B. C., & Brooke, C. (2008). The contribution of critical IS research. Communications of the ACM, 51(3), 51–55. https://doi.org/10.1145/1325555.1325566

Technology, Pedagogy and Education / Mar 01, 2007

Jefferies, P., Carsten‐Stahl, B., & McRobb, S. (2007). Exploring the relationships between pedagogy, ethics and technology: building a framework for strategy development. Technology, Pedagogy and Education, 16(1), 111–126. https://doi.org/10.1080/14759390601168122

Ethics and Information Technology / Oct 28, 2006

Stahl, B. C. (2006). Emancipation in cross-cultural IS research: The fine line between relativism and dictatorship of the intellectual. Ethics and Information Technology, 8(3), 97–108. https://doi.org/10.1007/s10676-006-9118-y

Ethics and Information Technology / Oct 25, 2006

Stahl, B. C. (2006). Responsible computers? A case for ascribing quasi-responsibility to computers independent of personhood or agency. Ethics and Information Technology, 8(4), 205–213. https://doi.org/10.1007/s10676-006-9112-4

European Journal of Information Systems / Dec 01, 2005

Stahl, B. C. (2005). The obituary as bricolage: the Mann Gulch disaster and the problem of heroic rationality. European Journal of Information Systems, 14(5), 487–491. https://doi.org/10.1057/palgrave.ejis.3000560

Nature Machine Intelligence / Jan 19, 2021

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MIS Quarterly / Apr 04, 2014

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Information Systems Research / Sep 01, 2016

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