Work with thought leaders and academic experts in information systems
Companies can benefit from working with an academic researcher in Information Systems in several ways. Firstly, they can gain valuable insights and knowledge about the latest trends and advancements in the field. Researchers can help companies solve complex problems by applying their expertise and conducting in-depth analysis. Additionally, collaborating with researchers can provide companies with access to cutting-edge technology and tools. By working with an academic researcher, companies can stay ahead of the competition and make informed decisions based on data-driven research.
Experts on NotedSource with backgrounds in information systems include Jim Samuel, Edoardo Airoldi, Jeffrey Townsend, Suhang Wang, Anindya Ghose, Ping Luo, Anna Jobin, Jennifer Aaker, Dan Baack, Mark Ryan, Athul Prasad, Catherine Tucker, Dr. Abdussalam Elhanashi, Panos Ipeirotis, Josephina Antoniou, Kevin Parker, Chloe Goldbach, Ph.D., Bernd Stahl, Kayvan Najarian, Christophe Schinckus, Yasmeen George, David Studholme, Bianca Trinkenreich, Paul Schrater, and Daniel Greenfield.
Jim Samuel
Associate Professor at Rutgers University
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Most Relevant Publications (5+)
44 total publications
Regulation of data-driven market power in the digital economy: Business value creation and competitive advantages from big data
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
Customized AI Readers: An Adaptive Framework for Flexible Human Handwriting Recognition of Numerical Digits with OCR Methods
Information / May 26, 2023
Jain, P. H., Kumar, V., Samuel, J., Singh, S., Mannepalli, A., & Anderson, R. (2023). Customized AI Readers: An Adaptive Framework for Flexible Human Handwriting Recognition of Numerical Digits with OCR Methods. Information, 14(6), 305. https://doi.org/10.3390/info14060305
Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations
International Journal of Information Management / Aug 01, 2022
Samuel, J., Kashyap, R., Samuel, Y., & Pelaez, A. (2022). Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations. International Journal of Information Management, 65, 102505. https://doi.org/10.1016/j.ijinfomgt.2022.102505
Would you please like my tweet?! An artificially intelligent, generative probabilistic, and econometric based system design for popularity-driven tweet content generation
Decision Support Systems / May 01, 2021
Garvey, M. D., Samuel, J., & Pelaez, A. (2021). Would you please like my tweet?! An artificially intelligent, generative probabilistic, and econometric based system design for popularity-driven tweet content generation. Decision Support Systems, 144, 113497. https://doi.org/10.1016/j.dss.2021.113497
COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification
Information / Jun 11, 2020
Samuel, J., Ali, G. G. Md. N., Rahman, Md. M., Esawi, E., & Samuel, Y. (2020). COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification. Information, 11(6), 314. https://doi.org/10.3390/info11060314
Edoardo Airoldi
Professor of Statistics & Data Science Temple University & PI, Harvard University
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Most Relevant Publications (5+)
106 total publications
Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook
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
A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks
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
Confidence sets for network structure
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
Network sampling and classification: An investigation of network model representations
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
An entropy approach to disclosure risk assessment: Lessons from real applications and simulated domains
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
Jeffrey Townsend
Professor of Biostatistics and Ecology & Evolutionary Biology
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Other Research Interests (71)
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Most Relevant Publications (3+)
207 total publications
Identifying modules of cooperating cancer drivers
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
Bringing Web 2.0 to bioinformatics
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
A Bayesian method for analysing spotted microarray data
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
Suhang Wang
Professor at Pennsylvania State University
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Other Research Interests (28)
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Most Relevant Publications (4+)
92 total publications
FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media
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
Exploring Hierarchical Structures for Recommender Systems
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
Facilitating Time Critical Information Seeking in Social Media
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
Self-Supervised learning for Conversational Recommendation
Information Processing & Management / Nov 01, 2022
Li, S., Xie, R., Zhu, Y., Zhuang, F., Tang, Z., Zhao, W. X., & He, Q. (2022). Self-Supervised learning for Conversational Recommendation. Information Processing & Management, 59(6), 103067. https://doi.org/10.1016/j.ipm.2022.103067
Anindya Ghose
Heinz Riehl Chair Professor of Business, NYU Stern
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Other Research Interests (23)
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Most Relevant Publications (22+)
86 total publications
Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets
Information Systems Research / Sep 01, 2008
Forman, C., Ghose, A., & Wiesenfeld, B. (2008). Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets. Information Systems Research, 19(3), 291–313. https://doi.org/10.1287/isre.1080.0193
Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics
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
An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets
Information Systems Research / Sep 01, 2013
Burtch, G., Ghose, A., & Wattal, S. (2013). An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets. Information Systems Research, 24(3), 499–519. https://doi.org/10.1287/isre.1120.0468
How Is the Mobile Internet Different? Search Costs and Local Activities
Information Systems Research / Sep 01, 2013
Ghose, A., Goldfarb, A., & Han, S. P. (2013). How Is the Mobile Internet Different? Search Costs and Local Activities. Information Systems Research, 24(3), 613–631. https://doi.org/10.1287/isre.1120.0453
Cultural Differences and Geography as Determinants of Online Prosocial Lending
MIS Quarterly / Jan 01, 2014
Burtch, G., Ghose, A., & Wattal, S. (2014). Cultural Differences and Geography as Determinants of Online Prosocial Lending. MIS Quarterly, 38(3), 773–794. https://doi.org/10.25300/misq/2014/38.3.07
The Economic Incentives for Sharing Security Information
Information Systems Research / Jun 01, 2005
Gal-Or, E., & Ghose, A. (2005). The Economic Incentives for Sharing Security Information. Information Systems Research, 16(2), 186–208. https://doi.org/10.1287/isre.1050.0053
Internet Exchanges for Used Books: An Empirical Analysis of Product Cannibalization and Welfare Impact
Information Systems Research / Mar 01, 2006
Ghose, A., Smith, M. D., & Telang, R. (2006). Internet Exchanges for Used Books: An Empirical Analysis of Product Cannibalization and Welfare Impact. Information Systems Research, 17(1), 3–19. https://doi.org/10.1287/isre.1050.0072
Internet Exchanges for Used Goods: An Empirical Analysis of Trade Patterns and Adverse Selection
MIS Quarterly / Jan 01, 2009
Ghose. (2009). Internet Exchanges for Used Goods: An Empirical Analysis of Trade Patterns and Adverse Selection. MIS Quarterly, 33(2), 263. https://doi.org/10.2307/20650292
Internet's Dirty Secret: Assessing the Impact of Online Intermediaries on HIV Transmission
MIS Quarterly / Apr 04, 2014
Chan, J., & Ghose, A. (2014). Internet’s Dirty Secret: Assessing the Impact of Online Intermediaries on HIV Transmission. MIS Quarterly, 38(4), 955–976. https://doi.org/10.25300/misq/2014/38.4.01
Secret Admirers: An Empirical Examination of Information Hiding and Contribution Dynamics in Online Crowdfunding
Information Systems Research / Sep 01, 2016
Burtch, G., Ghose, A., & Wattal, S. (2016). Secret Admirers: An Empirical Examination of Information Hiding and Contribution Dynamics in Online Crowdfunding. Information Systems Research, 27(3), 478–496. https://doi.org/10.1287/isre.2016.0642
Toward a Digital Attribution Model: Measuring the Impact of Display Advertising on Online Consumer Behavior
MIS Quarterly / Apr 04, 2016
Ghose, A., & Todri-Adamopoulos, V. (2016). Toward a Digital Attribution Model: Measuring the Impact of Display Advertising on Online Consumer Behavior. MIS Quarterly, 40(4), 889–910. https://doi.org/10.25300/misq/2016/40.4.05
The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms
Information Systems Research / Sep 01, 2018
Adamopoulos, P., Ghose, A., & Todri, V. (2018). The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms. Information Systems Research, 29(3), 612–640. https://doi.org/10.1287/isre.2017.0768
The Internet and Racial Hate Crimes: Offline Spillovers from Online Access
MIS Quarterly / Feb 02, 2016
Chan, J., Ghose, A., & Seamans, R. (2016). The Internet and Racial Hate Crimes: Offline Spillovers from Online Access. MIS Quarterly, 40(2), 381–403. https://doi.org/10.25300/misq/2016/40.2.05
Using Transaction Prices to Re-Examine Price Dispersion in Electronic Markets
Information Systems Research / Jun 01, 2011
Ghose, A., & Yao, Y. (2011). Using Transaction Prices to Re-Examine Price Dispersion in Electronic Markets. Information Systems Research, 22(2), 269–288. https://doi.org/10.1287/isre.1090.0252
The Impact of Internet Referral Services on a Supply Chain
Information Systems Research / Sep 01, 2007
Ghose, A., Mukhopadhyay, T., & Rajan, U. (2007). The Impact of Internet Referral Services on a Supply Chain. Information Systems Research, 18(3), 300–319. https://doi.org/10.1287/isre.1070.0130
Trade-Offs in Online Advertising: Advertising Effectiveness and Annoyance Dynamics Across the Purchase Funnel
Information Systems Research / Mar 01, 2020
Todri, V., Ghose, A., & Singh, P. V. (2020). Trade-Offs in Online Advertising: Advertising Effectiveness and Annoyance Dynamics Across the Purchase Funnel. Information Systems Research, 31(1), 102–125. https://doi.org/10.1287/isre.2019.0877
The Digital Sin City: An Empirical Study of Craigslist’s Impact on Prostitution Trends
Information Systems Research / Mar 01, 2019
Chan, J., Mojumder, P., & Ghose, A. (2019). The Digital Sin City: An Empirical Study of Craigslist’s Impact on Prostitution Trends. Information Systems Research, 30(1), 219–238. https://doi.org/10.1287/isre.2018.0799
Seizing the Commuting Moment: Contextual Targeting Based on Mobile Transportation Apps
Information Systems Research / Mar 01, 2019
Ghose, A., Kwon, H. E., Lee, D., & Oh, W. (2019). Seizing the Commuting Moment: Contextual Targeting Based on Mobile Transportation Apps. Information Systems Research, 30(1), 154–174. https://doi.org/10.1287/isre.2018.0792
Empowering Patients Using Smart Mobile Health Platforms: Evidence of a Randomized Field Experiment
MIS Quarterly / Feb 15, 2022
Ghose, A., Guo, X., Li, B., & Dang, Y. (2022). Empowering Patients Using Smart Mobile Health Platforms: Evidence of a Randomized Field Experiment. MIS Quarterly, 46(1), 151–192. https://doi.org/10.25300/misq/2022/16201
A Structural Analysis of the Role of Superstars in Crowdsourcing Contests
Information Systems Research / Mar 01, 2019
Zhang, S., Singh, P. V., & Ghose, A. (2019). A Structural Analysis of the Role of Superstars in Crowdsourcing Contests. Information Systems Research, 30(1), 15–33. https://doi.org/10.1287/isre.2017.0767
Research Commentary—Sponsored Search and Market Efficiency
Information Systems Research / Dec 01, 2010
Dhar, V., & Ghose, A. (2010). Research Commentary—Sponsored Search and Market Efficiency. Information Systems Research, 21(4), 760–772. https://doi.org/10.1287/isre.1100.0315
Demand Effects of the Internet-of-Things Sales Channel: Evidence from Automating the Purchase Process
Information Systems Research / Mar 01, 2021
Adamopoulos, P., Todri, V., & Ghose, A. (2021). Demand Effects of the Internet-of-Things Sales Channel: Evidence from Automating the Purchase Process. Information Systems Research, 32(1), 238–267. https://doi.org/10.1287/isre.2020.0962
Ping Luo
Postdoctoral Researcher at Princess Margaret Cancer Centre with experience in deep learning
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Most Relevant Publications (1+)
23 total publications
Evaluation of single-cell RNAseq labelling algorithms using cancer datasets
Briefings in Bioinformatics / Dec 30, 2022
Christensen, E., Luo, P., Turinsky, A., Husić, M., Mahalanabis, A., Naidas, A., Diaz-Mejia, J. J., Brudno, M., Pugh, T., Ramani, A., & Shooshtari, P. (2022). Evaluation of single-cell RNAseq labelling algorithms using cancer datasets. Briefings in Bioinformatics, 24(1). https://doi.org/10.1093/bib/bbac561
Anna Jobin
Researcher at Alexander von Humboldt Institute for Internet and Society
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Most Relevant Publications (1+)
31 total publications
Online Evaluation of Creativity and the Arts. Hiesun Cecilia Suhr (ed.).
Digital Scholarship in the Humanities / Jul 09, 2015
Jobin, A. (2015). Online Evaluation of Creativity and the Arts. Hiesun Cecilia Suhr (ed.). Digital Scholarship in the Humanities, 30(4), 609–611. https://doi.org/10.1093/llc/fqv024
Jennifer Aaker
General Atlantic Professor, Stanford University
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Other Research Interests (27)
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Most Relevant Publications (1+)
79 total publications
The Rise of Information Systems at the Graduate School of Management, UCLA
Communications of the Association for Information Systems / Jan 01, 2016
Swanson, E. B. (2016). The Rise of Information Systems at the Graduate School of Management, UCLA. Communications of the Association for Information Systems, 38, 670–677. https://doi.org/10.17705/1cais.03832
Dan Baack
Professor at the University of Denver
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Most Relevant Publications (2+)
40 total publications
Finding disseminators via electronic word of mouth message for effective marketing communications
Decision Support Systems / Nov 01, 2014
Bao, T., & Chang, T. S. (2014). Finding disseminators via electronic word of mouth message for effective marketing communications. Decision Support Systems, 67, 21–29. https://doi.org/10.1016/j.dss.2014.07.006
Partnering with Practice: How Partnerships can be Developed, Shared and Managed
Communications of the Association for Information Systems / Jan 01, 2016
Hardaway, D., Harryvan, R., Wang, X. (Frank), & Goodson, J. (2016). Partnering with Practice: How Partnerships can be Developed, Shared and Managed. Communications of the Association for Information Systems, 38, 145–156. https://doi.org/10.17705/1cais.03806
Mark Ryan
Digital Ethics Researcher at Wageningen Economic Research
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Other Research Interests (39)
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Most Relevant Publications (1+)
40 total publications
AI for Not Bad
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
Athul Prasad
5G / 6G Technology and Ventures at Samsung; D.Sc. (Tech), MBA
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Other Research Interests (41)
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Most Relevant Publications (2+)
75 total publications
Recent Trends in Standards Related to the Internet of Things and Machine-to-Machine Communications
Journal of information and communication convergence engineering / Dec 31, 2014
Husain, S., Prasad, A., Kunz, A., Papageorgiou, A., & Song, J. (2014). Recent Trends in Standards Related to the Internet of Things and Machine-to-Machine Communications. Journal of Information and Communication Convergence Engineering, 12(4), 228–236. https://doi.org/10.6109/jicce.2014.12.4.228
Wide-area IP multicast traffic characterization
IEEE Network / Jan 01, 2003
Beverly, R., & Claffy, K. C. (2003). Wide-area IP multicast traffic characterization. IEEE Network, 17(1), 8–15. https://doi.org/10.1109/mnet.2003.1174172
Catherine Tucker
Advertising & Economics Professor at MIT
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Other Research Interests (28)
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Most Relevant Publications (1+)
94 total publications
Active Social Media Management: The Case of Health Care
Information Systems Research / Mar 01, 2013
Miller, A. R., & Tucker, C. (2013). Active Social Media Management: The Case of Health Care. Information Systems Research, 24(1), 52–70. https://doi.org/10.1287/isre.1120.0466
Dr. Abdussalam Elhanashi
Researcher at University of Pisa
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Most Relevant Publications (6+)
28 total publications
Real-time video fire/smoke detection based on CNN in antifire surveillance systems
Journal of Real-Time Image Processing / Nov 10, 2020
Saponara, S., Elhanashi, A., & Gagliardi, A. (2020). Real-time video fire/smoke detection based on CNN in antifire surveillance systems. Journal of Real-Time Image Processing, 18(3), 889–900. https://doi.org/10.1007/s11554-020-01044-0
Implementing a real-time, AI-based, people detection and social distancing measuring system for Covid-19
Journal of Real-Time Image Processing / Jan 21, 2021
Saponara, S., Elhanashi, A., & Gagliardi, A. (2021). Implementing a real-time, AI-based, people detection and social distancing measuring system for Covid-19. Journal of Real-Time Image Processing, 18(6), 1937–1947. https://doi.org/10.1007/s11554-021-01070-6
Developing a real-time social distancing detection system based on YOLOv4-tiny and bird-eye view for COVID-19
Journal of Real-Time Image Processing / Feb 22, 2022
Saponara, S., Elhanashi, A., & Zheng, Q. (2022). Developing a real-time social distancing detection system based on YOLOv4-tiny and bird-eye view for COVID-19. Journal of Real-Time Image Processing, 19(3), 551–563. https://doi.org/10.1007/s11554-022-01203-5
An integrated and real-time social distancing, mask detection, and facial temperature video measurement system for pandemic monitoring
Journal of Real-Time Image Processing / Aug 16, 2023
Elhanashi, A., Saponara, S., Dini, P., Zheng, Q., Morita, D., & Raytchev, B. (2023). An integrated and real-time social distancing, mask detection, and facial temperature video measurement system for pandemic monitoring. Journal of Real-Time Image Processing, 20(5). https://doi.org/10.1007/s11554-023-01353-0
MobileRaT: A Lightweight Radio Transformer Method for Automatic Modulation Classification in Drone Communication Systems
Drones / Sep 22, 2023
Zheng, Q., Tian, X., Yu, Z., Ding, Y., Elhanashi, A., Saponara, S., & Kpalma, K. (2023). MobileRaT: A Lightweight Radio Transformer Method for Automatic Modulation Classification in Drone Communication Systems. Drones, 7(10), 596. https://doi.org/10.3390/drones7100596
A Real-Time Vehicle Speed Prediction Method Based on a Lightweight Informer Driven by Big Temporal Data
Big Data and Cognitive Computing / Jul 15, 2023
Tian, X., Zheng, Q., Yu, Z., Yang, M., Ding, Y., Elhanashi, A., Saponara, S., & Kpalma, K. (2023). A Real-Time Vehicle Speed Prediction Method Based on a Lightweight Informer Driven by Big Temporal Data. Big Data and Cognitive Computing, 7(3), 131. https://doi.org/10.3390/bdcc7030131
Panos Ipeirotis
Professor at New York University
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Most Relevant Publications (17+)
97 total publications
Duplicate Record Detection: A Survey
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
Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics
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
Internet Exchanges for Used Books: An Empirical Analysis of Product Cannibalization and Welfare Impact
Information Systems Research / Mar 01, 2006
Ghose, A., Smith, M. D., & Telang, R. (2006). Internet Exchanges for Used Books: An Empirical Analysis of Product Cannibalization and Welfare Impact. Information Systems Research, 17(1), 3–19. https://doi.org/10.1287/isre.1050.0072
Facilitating Document Annotation Using Content and Querying Value
IEEE Transactions on Knowledge and Data Engineering / Feb 01, 2014
Ruiz, E. J., Hristidis, V., & Ipeirotis, P. G. (2014). Facilitating Document Annotation Using Content and Querying Value. IEEE Transactions on Knowledge and Data Engineering, 26(2), 336–349. https://doi.org/10.1109/tkde.2012.224
Cost-Effective Quality Assurance in Crowd Labeling
Information Systems Research / Mar 01, 2017
Wang, J., Ipeirotis, P. G., & Provost, F. (2017). Cost-Effective Quality Assurance in Crowd Labeling. Information Systems Research, 28(1), 137–158. https://doi.org/10.1287/isre.2016.0661
Beat the Machine
Journal of Data and Information Quality / Mar 04, 2015
Attenberg, J., Ipeirotis, P., & Provost, F. (2015). Beat the Machine. Journal of Data and Information Quality, 6(1), 1–17. https://doi.org/10.1145/2700832
Repeated labeling using multiple noisy labelers
Data Mining and Knowledge Discovery / Mar 16, 2013
Ipeirotis, P. G., Provost, F., Sheng, V. S., & Wang, J. (2013). Repeated labeling using multiple noisy labelers. Data Mining and Knowledge Discovery, 28(2), 402–441. https://doi.org/10.1007/s10618-013-0306-1
Answering General Time-Sensitive Queries
IEEE Transactions on Knowledge and Data Engineering / Feb 01, 2012
Dakka, W., Gravano, L., & Ipeirotis, P. (2012). Answering General Time-Sensitive Queries. IEEE Transactions on Knowledge and Data Engineering, 24(2), 220–235. https://doi.org/10.1109/tkde.2010.187
Relevance-Based Retrieval on Hidden-Web Text Databases without Ranking Support
IEEE Transactions on Knowledge and Data Engineering / Oct 01, 2011
Hristidis, V., Hu, Y., & Ipeirotis, P. (2011). Relevance-Based Retrieval on Hidden-Web Text Databases without Ranking Support. IEEE Transactions on Knowledge and Data Engineering, 23(10), 1555–1568. https://doi.org/10.1109/tkde.2010.183
A quality-aware optimizer for information extraction
ACM Transactions on Database Systems / Apr 01, 2009
Jain, A., & Ipeirotis, P. G. (2009). A quality-aware optimizer for information extraction. ACM Transactions on Database Systems, 34(1), 1–48. https://doi.org/10.1145/1508857.1508862
Building query optimizers for information extraction
ACM SIGMOD Record / Mar 20, 2009
Jain, A., Ipeirotis, P., & Gravano, L. (2009). Building query optimizers for information extraction. ACM SIGMOD Record, 37(4), 28–34. https://doi.org/10.1145/1519103.1519108
Classification-aware hidden-web text database selection
ACM Transactions on Information Systems / Mar 01, 2008
Ipeirotis, P. G., & Gravano, L. (2008). Classification-aware hidden-web text database selection. ACM Transactions on Information Systems, 26(2), 1–66. https://doi.org/10.1145/1344411.1344412
Modeling and managing changes in text databases
ACM Transactions on Database Systems / Aug 01, 2007
Ipeirotis, P. G., Ntoulas, A., Cho, J., & Gravano, L. (2007). Modeling and managing changes in text databases. ACM Transactions on Database Systems, 32(3), 14. https://doi.org/10.1145/1272743.1272744
TOIS reviewers January 2006 through May 2007
ACM Transactions on Information Systems / Oct 01, 2007
Marchionini, G. (Ed.). (2007). TOIS reviewers January 2006 through May 2007. ACM Transactions on Information Systems, 25(4), 15. https://doi.org/10.1145/1281485.1281486
Towards a query optimizer for text-centric tasks
ACM Transactions on Database Systems / Nov 01, 2007
Ipeirotis, P. G., Agichtein, E., Jain, P., & Gravano, L. (2007). Towards a query optimizer for text-centric tasks. ACM Transactions on Database Systems, 32(4), 21. https://doi.org/10.1145/1292609.1292611
QProber
ACM Transactions on Information Systems / Jan 01, 2003
Gravano, L., Ipeirotis, P. G., & Sahami, M. (2003). QProber. ACM Transactions on Information Systems, 21(1), 1–41. https://doi.org/10.1145/635484.635485
Probe, count, and classify
ACM SIGMOD Record / May 01, 2001
Ipeirotis, P. G., Gravano, L., & Sahami, M. (2001). Probe, count, and classify. ACM SIGMOD Record, 30(2), 67–78. https://doi.org/10.1145/376284.375671
Josephina Antoniou
Associate Professor - University of Central Lancashire
Most Relevant Research Interests
Other Research Interests (19)
About
Most Relevant Publications (1+)
51 total publications
Supporting Context-Aware Multiparty Sessions in Heterogeneous Mobile Networks
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
Bernd Stahl
Director of the Centre for Computing and Social Responsibility
Most Relevant Research Interests
Other Research Interests (67)
Most Relevant Publications (19+)
145 total publications
The ethical nature of critical research in information systems
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
From computer ethics to responsible research and innovation in ICT
Information & 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 & Management, 51(6), 810–818. https://doi.org/10.1016/j.im.2014.01.001
Morality, Ethics, and Reflection: A Categorization of Normative IS Research
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
Critical Discourse Analysis as a Review Methodology: An Empirical Example
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
Cultural Universality Versus Particularity in CMC
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
Philosophy and information systems: where are we and where should we go?
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
ETHICS, Morality and Critique: An Essay on Enid Mumford¡¯s Socio-Technical Approach
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
Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence
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
On Quality and Communication: The Relevance of Critical Theory to Health Informatics
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
A critical perspective of engagement in online health communities
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
Digital Wildfires
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
Interpretive accounts and fairy tales: a critical polemic against the empiricist bias in interpretive IS research
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
Tomorrow’s ethics and today’s response: An investigation into the ways information systems professionals perceive and address emerging ethical issues
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
Information security policies in the UK healthcare sector: a critical evaluation
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
Responsible research and innovation in information systems
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
Focus groups and critical social IS research: how the choice of method can promote emancipation of respondents and researchers
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
The inflation of academic intellectual capital: the case for design science research in Europe
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
Exploring the relationships between pedagogy, ethics and technology: building a framework for strategy development
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
The obituary as bricolage: the Mann Gulch disaster and the problem of heroic rationality
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
Kayvan Najarian
Professor of Comp Med and Bioinf, Emergency Med, and Electrical and Comp Engineering
Most Relevant Research Interests
Other Research Interests (59)
Most Relevant Publications (5+)
106 total publications
Machine learning approaches and databases for prediction of drug–target interaction: a survey paper
Briefings in Bioinformatics / Jan 17, 2020
Bagherian, M., Sabeti, E., Wang, K., Sartor, M. A., Nikolovska-Coleska, Z., & Najarian, K. (2020). Machine learning approaches and databases for prediction of drug–target interaction: a survey paper. Briefings in Bioinformatics, 22(1), 247–269. https://doi.org/10.1093/bib/bbz157
Surface area-based focus criterion for multi-focus image fusion
Information Fusion / Jul 01, 2017
Nejati, M., Samavi, S., Karimi, N., Reza Soroushmehr, S. M., Shirani, S., Roosta, I., & Najarian, K. (2017). Surface area-based focus criterion for multi-focus image fusion. Information Fusion, 36, 284–295. https://doi.org/10.1016/j.inffus.2016.12.009
Coupled matrix–matrix and coupled tensor–matrix completion methods for predicting drug–target interactions
Briefings in Bioinformatics / Mar 18, 2020
Bagherian, M., Kim, R. B., Jiang, C., Sartor, M. A., Derksen, H., & Najarian, K. (2020). Coupled matrix–matrix and coupled tensor–matrix completion methods for predicting drug–target interactions. Briefings in Bioinformatics, 22(2), 2161–2171. https://doi.org/10.1093/bib/bbaa025
Adaptive Real-Time Removal of Impulse Noise in Medical Images
Journal of Medical Systems / Oct 02, 2018
HosseinKhani, Z., Hajabdollahi, M., Karimi, N., Soroushmehr, R., Shirani, S., Najarian, K., & Samavi, S. (2018). Adaptive Real-Time Removal of Impulse Noise in Medical Images. Journal of Medical Systems, 42(11). https://doi.org/10.1007/s10916-018-1074-7
Predictability of intracranial pressure level in traumatic brain injury: features extraction, statistical analysis and machine learning-based evaluation
International Journal of Data Mining and Bioinformatics / Jan 01, 2013
Chen, W., Cockrell, C. H., Ward, K., & Najarian, K. (2013). Predictability of intracranial pressure level in traumatic brain injury: features extraction, statistical analysis and machine learning-based evaluation. International Journal of Data Mining and Bioinformatics, 8(4), 480. https://doi.org/10.1504/ijdmb.2013.056617
Christophe Schinckus
Professor & Dean of Faculty of Business and Computing - University of the Fraser Valley, Canada
Most Relevant Research Interests
Other Research Interests (72)
Most Relevant Publications (3+)
113 total publications
Effects of the internet, mobile, and land phones on income inequality and The Kuznets curve: Cross country analysis
Telecommunications Policy / Nov 01, 2020
Canh, N. P., Schinckus, C., Thanh, S. D., & Hui Ling, F. C. (2020). Effects of the internet, mobile, and land phones on income inequality and The Kuznets curve: Cross country analysis. Telecommunications Policy, 44(10), 102041. https://doi.org/10.1016/j.telpol.2020.102041
An Essay on Financial Information in the Era of Computerization
Journal of Information Technology / Mar 01, 2018
Schinckus, C. (2018). An Essay on Financial Information in the Era of Computerization. Journal of Information Technology, 33(1), 9–18. https://doi.org/10.1057/s41265-016-0027-1
A Modern Epistemological Reading of Agent Orientation
International Journal of Intelligent Information Technologies / Jul 01, 2008
Wautelet, Y., Schinckus, C., & Kolp, M. (2008). A Modern Epistemological Reading of Agent Orientation. International Journal of Intelligent Information Technologies, 4(3), 46–57. https://doi.org/10.4018/jiit.2008070103
Yasmeen George
Lecturer - Faculty of IT at Monash University
Most Relevant Research Interests
Other Research Interests (24)
About
Most Relevant Publications (3+)
21 total publications
Remote Computer-Aided Breast Cancer Detection and Diagnosis System Based on Cytological Images
IEEE Systems Journal / Sep 01, 2014
George, Y. M., Zayed, H. H., Roushdy, M. I., & Elbagoury, B. M. (2014). Remote Computer-Aided Breast Cancer Detection and Diagnosis System Based on Cytological Images. IEEE Systems Journal, 8(3), 949–964. https://doi.org/10.1109/jsyst.2013.2279415
Real-time spatio-temporal event detection on geotagged social media
Journal of Big Data / Jun 24, 2021
George, Y., Karunasekera, S., Harwood, A., & Lim, K. H. (2021). Real-time spatio-temporal event detection on geotagged social media. Journal of Big Data, 8(1). https://doi.org/10.1186/s40537-021-00482-2
The application of multi-modality medical image fusion based method to cerebral infarction
EURASIP Journal on Image and Video Processing / Aug 16, 2017
Dai, Y., Zhou, Z., & Xu, L. (2017). The application of multi-modality medical image fusion based method to cerebral infarction. EURASIP Journal on Image and Video Processing, 2017(1). https://doi.org/10.1186/s13640-017-0204-3
David Studholme
Senior Lecturer / Associate Professor at University of Exeter
Most Relevant Research Interests
Other Research Interests (55)
Most Relevant Publications (2+)
190 total publications
Ash leaf metabolomes reveal differences between trees tolerant and susceptible to ash dieback disease
Scientific Data / Dec 19, 2017
Sambles, C. M., Salmon, D. L., Florance, H., Howard, T. P., Smirnoff, N., Nielsen, L. R., McKinney, L. V., Kjær, E. D., Buggs, R. J. A., Studholme, D. J., & Grant, M. (2017). Ash leaf metabolomes reveal differences between trees tolerant and susceptible to ash dieback disease. Scientific Data, 4(1). https://doi.org/10.1038/sdata.2017.190
De novo assembly of short sequence reads
Briefings in Bioinformatics / Aug 19, 2010
Paszkiewicz, K., & Studholme, D. J. (2010). De novo assembly of short sequence reads. Briefings in Bioinformatics, 11(5), 457–472. https://doi.org/10.1093/bib/bbq020
Bianca Trinkenreich
Research Scientist in Human Factors on Software Engineering, Ph.D.
Most Relevant Research Interests
Other Research Interests (11)
Most Relevant Publications (1+)
32 total publications
SINIS: A GQM+Strategies-based approach for identifying goals, strategies and indicators for IT services
Information and Software Technology / Aug 01, 2018
Trinkenreich, B., Santos, G., & Barcellos, M. P. (2018). SINIS: A GQM+Strategies-based approach for identifying goals, strategies and indicators for IT services. Information and Software Technology, 100, 147–164. https://doi.org/10.1016/j.infsof.2018.04.006
Paul Schrater
University of Minnesota
Most Relevant Research Interests
Other Research Interests (43)
Most Relevant Publications (2+)
96 total publications
Real-Time Tactical and Strategic Sales Management for Intelligent Agents Guided by Economic Regimes
Information Systems Research / Dec 01, 2012
Ketter, W., Collins, J., Gini, M., Gupta, A., & Schrater, P. (2012). Real-Time Tactical and Strategic Sales Management for Intelligent Agents Guided by Economic Regimes. Information Systems Research, 23(4), 1263–1283. https://doi.org/10.1287/isre.1110.0415
Detecting and forecasting economic regimes in multi-agent automated exchanges
Decision Support Systems / Nov 01, 2009
Ketter, W., Collins, J., Gini, M., Gupta, A., & Schrater, P. (2009). Detecting and forecasting economic regimes in multi-agent automated exchanges. Decision Support Systems, 47(4), 307–318. https://doi.org/10.1016/j.dss.2009.05.012
Daniel Greenfield
Ph.D. candidate (anticipated Mar 2023) in Biophysics with a focus on quantitative techniques in biomedicine
Most Relevant Research Interests
Other Research Interests (13)
Most Relevant Publications (1+)
10 total publications
Wireless Wearable Sensor Paired With Machine Learning for the Quantification of Tissue Oxygenation
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
Example information systems projects
How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on information systems?
Optimizing Supply Chain Management
An academic researcher in Information Systems can help companies optimize their supply chain management processes. By analyzing data and implementing advanced algorithms, researchers can identify bottlenecks, reduce costs, and improve overall efficiency.
Enhancing Cybersecurity Measures
With the increasing threat of cyber attacks, companies can benefit from collaborating with an academic researcher in Information Systems to enhance their cybersecurity measures. Researchers can develop innovative solutions, conduct vulnerability assessments, and provide recommendations to strengthen the company's security infrastructure.
Implementing Data Analytics Strategies
Data analytics is crucial for companies to make informed business decisions. An academic researcher in Information Systems can help companies implement data analytics strategies by developing predictive models, analyzing large datasets, and providing insights that can drive business growth.
Designing User-Friendly Interfaces
User experience is a key factor in the success of digital products and services. By collaborating with an academic researcher in Information Systems, companies can benefit from expertise in designing user-friendly interfaces. Researchers can conduct usability studies, gather user feedback, and optimize the user experience to enhance customer satisfaction.
Integrating Emerging Technologies
Emerging technologies such as artificial intelligence, blockchain, and Internet of Things (IoT) have the potential to transform industries. Academic researchers in Information Systems can help companies explore and integrate these technologies into their existing systems, enabling them to innovate and gain a competitive edge.