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2024

Journal Article

Large language models meet user interfaces: the case of provisioning feedback

Pozdniakov, Stanislav, Brazil, Jonathan, Abdi, Solmaz, Bakharia, Aneesha, Sadiq, Shazia, Gašević, Dragan, Denny, Paul and Khosravi, Hassan (2024). Large language models meet user interfaces: the case of provisioning feedback. Computers and Education: Artificial Intelligence, 7 100289, 100289. doi: 10.1016/j.caeai.2024.100289

Large language models meet user interfaces: the case of provisioning feedback

2024

Journal Article

Large language models and generative AI in telehealth: a responsible use lens

Pool, Javad, Indulska, Marta and Sadiq, Shazia (2024). Large language models and generative AI in telehealth: a responsible use lens. Journal of the American Medical Informatics Association, 31 (9), 2125-2136. doi: 10.1093/jamia/ocae035

Large language models and generative AI in telehealth: a responsible use lens

2024

Conference Publication

Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks

Wang, Zongwei, Yu, Junliang, Gao, Min, Yin, Hongzhi, Cui, Bin and Sadiq, Shazia (2024). Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks. 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671795

Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks

2024

Conference Publication

Fairness without sensitive attributes via knowledge sharing

Ni, Hongliang, Han, Lei, Chen, Tong, Sadiq, Shazia and Demartini, Gianluca (2024). Fairness without sensitive attributes via knowledge sharing. 2024 ACM Conference on Fairness, Accountability, and Transparency, Rio de Janeiro, Brazil, 3-6 June 2024. New York, NY, United States: ACM. doi: 10.1145/3630106.3659014

Fairness without sensitive attributes via knowledge sharing

2024

Conference Publication

How good are LLMs in generating personalized advertisements?

Meguellati, Elyas, Han, Lei, Bernstein, Abraham, Sadiq, Shazia and Demartini, Gianluca (2024). How good are LLMs in generating personalized advertisements?. WWW '24: The ACM Web Conference 2024, Singapore, 13-17 May 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3589335.3651520

How good are LLMs in generating personalized advertisements?

2024

Journal Article

Variational counterfactual prediction under runtime domain corruption

Wen, Hechuan, Chen, Tong, Chai, Li Kheng, Sadiq, Shazia, Gao, Junbin and Yin, Hongzhi (2024). Variational counterfactual prediction under runtime domain corruption. IEEE Transactions on Knowledge and Data Engineering, 36 (5) 10271745, 2271-2284. doi: 10.1109/tkde.2023.3321893

Variational counterfactual prediction under runtime domain corruption

2024

Journal Article

Editorial: Special Issue on Human in the Loop Data Curation

Demartini, Gianluca, Sadiq, Shazia and Yang, Jie (2024). Editorial: Special Issue on Human in the Loop Data Curation. Journal of Data and Information Quality, 16 (1) 3, 1-2. doi: 10.1145/3650209

Editorial: Special Issue on Human in the Loop Data Curation

2024

Journal Article

Impact of AI assistance on student agency

Darvishi, Ali, Khosravi, Hassan, Sadiq, Shazia, Gašević, Dragan and Siemens, George (2024). Impact of AI assistance on student agency. Computers and Education, 210 104967, 1-18. doi: 10.1016/j.compedu.2023.104967

Impact of AI assistance on student agency

2024

Journal Article

On the impact of showing evidence from peers in crowdsourced truthfulness assessments

Xu, Jiechen, Han, Lei, Sadiq, Shazia and Demartini, Gianluca (2024). On the impact of showing evidence from peers in crowdsourced truthfulness assessments. ACM Transactions on Information Systems, 42 (3) 87, 1-26. doi: 10.1145/3637872

On the impact of showing evidence from peers in crowdsourced truthfulness assessments

2024

Conference Publication

Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aid

Sai, Catherine, Sadiq, Shazia, Han, Lei, Demartini, Gianluca and Rinderle-Ma, Stefanie (2024). Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aid. 18th International Conference, RCIS 2024, Guimarães, Portugal, 14-17 May 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-59465-6_11

Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aid

2023

Conference Publication

Exploring data workers’ behaviours in data quality discovery

Chen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2023). Exploring data workers’ behaviours in data quality discovery. Australasian Conferences on Information Systems 2023, Wellington, New Zealand, 5-8 December 2023. Atlanta, GA USA: Association for Information Systems.

Exploring data workers’ behaviours in data quality discovery

2023

Conference Publication

Do process analysts care about the metadata of event logs?

Zhou, Hui, Zerbato, Francesca, Weber, Barbara, Indulska, Marta and Sadiq, Shazia (2023). Do process analysts care about the metadata of event logs?. Australasian Conference on Information Systems (ACIS) 2023, Wellington, New Zealand, 5 - 8 December 2023. Atlanta, GA United States: Association for Information Systems.

Do process analysts care about the metadata of event logs?

2023

Conference Publication

To predict or to reject: causal effect estimation with uncertainty on networked data

Wen, Hechuan, Chen, Tong, Chai, Li Kheng, Sadiq, Shazia, Zheng, Kai and Yin, Hongzhi (2023). To predict or to reject: causal effect estimation with uncertainty on networked data. 23rd IEEE International Conference on Data Mining (IEEE ICDM), Shanghai, China, 1 - 4 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm58522.2023.00184

To predict or to reject: causal effect estimation with uncertainty on networked data

2023

Journal Article

A data-driven analysis of behaviors in data curation processes

Han, Lei, Chen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2023). A data-driven analysis of behaviors in data curation processes. ACM Transactions on Information Systems, 41 (3) 72, 1-35. doi: 10.1145/3567419

A data-driven analysis of behaviors in data curation processes

2023

Conference Publication

DEI Perspectives in Information Technology Education

Sadiq, Shazia (2023). DEI Perspectives in Information Technology Education. SIGMOD/PODS '23: International Conference on Management of Data, Seattle, WA United States, 18 - 23 June 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3555041.3591053

DEI Perspectives in Information Technology Education

2023

Journal Article

Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report

Amer-Yahia, Sihem, Agrawal, Divyakant, Amsterdamer, Yael, Bhowmick, Sourav S., Bonifati, Angela, Borovica-Gajic, Renata, Camacho-Rodriguez, Jesus, Catania, Barbara, Chrysanthis, Panos K., Curino, Carlo, Darmont, Jerome, Dobbie, Gillian, El Abbadi, Amr, Floratou, Avrilia, Freire, Juliana, Jindal, Alekh, Kalogeraki, Vana, Maiyya, Sujaya, Meliou, Alexandra, Mohanty, Madhulika, Omidvar-Tehrani, Behrooz, Ozcan, Fatma, Peterfreund, Liat, Rahayu, Wenny, Sadiq, Shazia, Sellami, Sana, Sirin, Utku, Tan, Wang-Chiew, Thuraisingham, Bhavani ... Zhang, Meihui (2023). Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. Sigmod Record, 52 (2), 38-42.

Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report

2023

Journal Article

Integrating design thinking and agile approaches in analytics development: the case of Aginic

Brea, Edgar, Someh, Ida, Freya, Emma, Thebault, Brett and Sadiq, Shazia (2023). Integrating design thinking and agile approaches in analytics development: the case of Aginic. Journal of Information Technology Teaching Cases. doi: 10.1177/20438869231178035

Integrating design thinking and agile approaches in analytics development: the case of Aginic

2023

Journal Article

DataOps-4G: on supporting generalists in data quality discovery

Yu, Shaochen, Chen, Tianwa, Han, Lei, Demartini, Gianluca and Sadiq, Shazia (2023). DataOps-4G: on supporting generalists in data quality discovery. IEEE Transactions on Knowledge and Data Engineering, 35 (5), 4668-4681. doi: 10.1109/tkde.2022.3151605

DataOps-4G: on supporting generalists in data quality discovery

2023

Conference Publication

Human-in-the-loop regular expression extraction for single column format inconsistency

Yu, Shaochen, Han, Lei, Indulska, Marta, Sadiq, Shazia and Demartini, Gianluca (2023). Human-in-the-loop regular expression extraction for single column format inconsistency. WWW '23: ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, United States: Association for Computing Machinery. doi: 10.1145/3543507.3583515

Human-in-the-loop regular expression extraction for single column format inconsistency

2023

Journal Article

The biggest business process management problems to solve before we die

Beerepoot, Iris, Di Ciccio, Claudio, Reijers, Hajo A., Rinderle-Ma, Stefanie, Bandara, Wasana, Burattin, Andrea, Calvanese, Diego, Chen, Tianwa, Cohen, Izack, Depaire, Benoît, Di Federico, Gemma, Dumas, Marlon, van Dun, Christopher, Fehrer, Tobias, Fischer, Dominik A., Gal, Avigdor, Indulska, Marta, Isahagian, Vatche, Klinkmüller, Christopher, Kratsch, Wolfgang, Leopold, Henrik, Van Looy, Amy, Lopez, Hugo, Lukumbuzya, Sanja, Mendling, Jan, Meyers, Lara, Moder, Linda, Montali, Marco, Muthusamy, Vinod ... Zerbato, Francesca (2023). The biggest business process management problems to solve before we die. Computers in Industry, 146 103837, 1-14. doi: 10.1016/j.compind.2022.103837

The biggest business process management problems to solve before we die