| 2024 | GI | Challenges in Data Preservation for AI and ML Systems. | Emma L. Tonkin, Gregory J. L. Tourte |
| 2023 | KDD | Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting. | Ferdian Jovan, Catherine Morgan, Ryan McConville, Emma L. Tonkin, Ian Craddock, Alan L. Whone |
| 2023 | PERCOM | Experiencing Annotation: Emotion, Motivation and Bias in Annotation Tasks. | Teodor Stoev, Kristina Yordanova, Emma L. Tonkin |
| 2023 | PERCOM | When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations. | Taku Yamagata, Emma L. Tonkin, Benjamin Arana Sanchez, Ian Craddock, Miquel Perell-Nieto, Ral Santos-Rodrguez, Weisong Yang, Peter A. Flach |
| 2021 | EPIA | Towards Ethical Judicial Analytics: Assessing Readability of Immigration and Asylum Decisions in the United Kingdom. | Laura Scheinert, Emma L. Tonkin |
| 2021 | PERCOM | Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms. | Catherine Morgan, Farnoosh Heidarivincheh, Ian Craddock, Ryan McConville, Miquel Perell-Nieto, Emma L. Tonkin, Alessandro Masullo, Antonis Vafeas, Mickey Kim, Roisin McNaney, Gregory J. L. Tourte, Alan L. Whone |
| 2020 | PERCOM | Keynote: Privacy and Security in Real-World Data Annotation. | Emma L. Tonkin |
| 2020 | PERCOM | Towards a Methodology for Acceptance Testing and Validation of Monitoring Bodyworn Devices. | Emma L. Tonkin, Miquel Perell-Nieto, Haixia Bi, Antonis Vafeas |
| 2020 | PERCOM | Panel session: How could we build a community for sharing annotation activities, methods, and outcomes? | Emma L. Tonkin, Kristina Y. Yordanova |