Dr. D.S. (Delfina) Martinez Pandiani PhD
Faculteit der Geesteswetenschappen
Capaciteitsgroep Media & Cultuur
Bezoekadres
- Turfdraagsterpad 9
Postadres
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Postbus 94550
1090 GN Amsterdam
Contactgegevens
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Profile
I am an Assistant Professor based in the Department of Media Studies and the Institute for Logic, Language, and Computation. I research what it means (and looks like) to be human in the era of (generative) AI. I focus on human-centered and ethical AI, computational cultural analytics, cognitive-inspired visual sensemaking, and more broadly the operationalization of abstract social concepts. I emphasize multimodal and explainable AI methods for analyzing cultural (heritage) data.
I challenge and play with assumed binaries, like public/private, nature/culture, male/female, and white/colored. Overall, I am committed to producing knowledge that explores how human and non-human agents adapt within the dynamic interplay of technological advancement, societal values, and cultural diversity.
Previously, I was a post-doctoral researcher at the Human-Centered Data-Analytics (HCDA) group at Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. I have a Ph.D. in Computer Science and Engineering and a M.A. in Digital Humanities and Digital Knowledge from Università di Bologna (Italy). I have a Bachelor's degree in Human Evolutionary Biology, with a minor in Gender and Sexuality Studies, from Harvard University (U.S.A.).
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Publicaties
2024
- Ciroku, F., De Giorgis, S., Gangemi, A., Martinez Pandiani, D. S., & Presutti, V. (2024). Automated multimodal sensemaking: Ontology-based integration of linguistic frames and visual data. Computers in Human Behavior, 150, Article 107997. https://doi.org/10.1016/j.chb.2023.107997
- Martinez Pandiani, D. S. (2024). Bridging the Gap: Decoding Abstract Concepts in Cultural Heritage Images. In Decoding Cultural Heritage: A Critical Dissection and Taxonomy of Human Creativity through Digital Tools (pp. 157-189). Springer. https://doi.org/10.1007/978-3-031-57675-1_8
- Martinez Pandiani, D. S. (2024). The wicked problem of naming the intangible: Abstract concepts, binary thinking, and computer vision labels. Future Humanities, 2(1-2), e11. https://doi.org/10.1002/fhu2.11
Martinez Pandiani, D. S., Lazzari, N., & Presutti, V. (2024). Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification. In A. Salatino, M. Alam, F. Ongenae, S. Vahdati, A.-L. Gentile, T. Pellegrini, & S. Jiang (Eds.), Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI: Proceedings of the 20th International Conference on Semantic Systems, 17–19 September 2024, Amsterdam, The Netherlands (pp. 68-87). (Studies on the Semantic Web; Vol. 60). IOS Press. https://doi.org/10.3233/SSW240008 [details]
2023
- Martinez Pandiani, D. S., Lazzari, N., van Erp, M., & Presutti, V. (2023). Hypericons for Abstract Concepts: Non-traditional Approaches to Visual Explainability. International Journal of Digital Humanities, 5, 451–490. https://doi.org/10.1007/s42803-023-00077-8
2022
- Martinez Pandiani, D. S., & Pescarin, S. (2022). Beyond static colors: An interactive participatory design perspective on color-centric experiences. International Journal of Conservation Science, 13(special issue 1), 1691-1704. https://ijcs.ro/public/IJCS-22-125_Pandiani.pdf
- Martinez Pandiani, D. S., & Presutti, V. (2022). Coded Visions: Addressing Cultural Bias in Image Annotation Systems with the Descriptions and Situations Ontology Design Pattern. In Proceedings of the 6th International Conference on Graphs and Networks in the Humanities 2022: Technologies, Models, Analyzes, and Visualizations (pp. 8) https://www.academia.edu/92913461/Coded_Visions_Addressing_Cultural_Bias_in_Image_Annotation_Systems_with_the_Descriptions_and_Situations_Ontology_Design_Pattern
- Pescarin, S., & Martinez Pandiani, D. S. (2022). Factors in the Cognitive-Emotional Impact of Educational Environmental Narrative Videogames. In Extended Reality: First International Conference, XR Salento 2022, Lecce, Italy, July 6–8, 2022 : proceedings (Vol. II, pp. 101-108). (Lecture Notes in Computer Science; Vol. 13446). Springer. https://doi.org/10.1007/978-3-031-15553-6_8
- Pescarin, S., & Martinez Pandiani, D. S. (2022). The Impact of Story Structure, Meaningfulness, and Concentration in Serious Games. Information (Switzerland), 13(12), Article 567. https://doi.org/10.3390/info13120567
2021
- Martinez Pandiani, D. S., & Presutti, V. (2021). Automatic Modeling of Social Concepts Evoked by Art Images as Multimodal Frames. In Proceedings of the First International Workshop on Multisensory Data and Knowledge at the 3rd Conference on Language, Data and Knowledge (2021) https://ceur-ws.org/Vol-3064/mdk3.pdf
2018
- Benenson, J. F., White, M. M., Martinez Pandiani, D., Hillyer, L. J., Kantor, S., Markovits, H., & Wrangham, R. W. (2018). Competition Elicits more Physical Affiliation between Male than Female Friends. Scientific Reports, 8, Article 8380. https://doi.org/10.1038/s41598-018-26544-9
2024
- Martinez Pandiani, D. S., Sang, E. T. K., & Ceolin, D. (2024). Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities. (arXiv preprint arXiv:2406.07353). https://doi.org/10.48550/arXiv.2406.07353
2023
- Martinez Pandiani, D. S., & Presutti, V. (2023). Seeing the Intangible: Survey of Image Classification into High-Level and Abstract Categories. (pp. arXiv-2308). (arXiv e-prints). https://doi.org/10.48550/arXiv.2308.10562
2021
- Peñuela, A. M., Guillotel-Nothmann, C., de Berardinis, J., Martinez Pandiani, D. S., Carriero, V. A., Wigham, M., Poltronieri, A., Ciroku, F., & Rigaux, P. (2021). D2. 1: Ontology-based knowledge graphs for music objects (V1. 0). https://polifonia-project.eu/wp-content/uploads/2022/01/Polifonia_D2.1_V1.0.pdf
2021
- Carriero, V. A., Ciroku, F., de Berardinis, J., Martinez Pandiani, D. S., Meroño-Peñuela, A., Poltronieri, A., & Presutti, V. (2021). Semantic Integration of MIR Datasets with the Polifonia Ontology Network. Poster session presented at 22nd International Society for Music Information Retrieval Conference, Online. https://archives.ismir.net/ismir2021/latebreaking/000020.pdf
2020
- Martinez Pandiani, D. S. (2020). A Collaborative Color Laboratory: Using 3D Modelling, Texturization, and AR to Challenge White Supremacist Uses of Ancient Classical Sculptures. Paper presented at Building Community Online, Canadian Society for Digital Humanities (CSDH/SCHN) Annual Conference, Canada.
- Martinez Pandiani, D. S. (2020). Semantic & Interactive Technologies for Civic Education: Ancient Classical Polychromy as a Case Study. Paper presented at XII Convegno Internazionale AIES: Associazione Italiana Esperti Scientifici Beni Culturali , Naples, Italy.
Prijs / subsidie
- Martinez Pandiani, D. (2024). Best Paper Award - Research & Industry Track.
- Martinez Pandiani, D. (2023). Synapse AI Symposium Award.
- Martinez Pandiani, D. (2022). Marco Polo University Programme Fellowship.
- Martinez Pandiani, D. (2021). Best Thesis Award by AIES – Italian Association of Scientific Experts.
- Martinez Pandiani, D. (2017). George Peabody Gardner Fellowship.
- Martinez Pandiani, D. (2016). John Harvard Scholar.
- Martinez Pandiani, D. (2015). Harvard College Research Program Award.
- Martinez Pandiani, D. (2015). David Rockefeller International Experience Grant.
2024
- Martinez Pandiani, D. S. (2024). Mind the gaps: cognitive-inspired AI for high-level visual sensemaking. Towards abstract concept image classification. https://doi.org/10.48676/unibo/amsdottorato/11284
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Nevenwerkzaamheden
Geen nevenwerkzaamheden
Martinez Pandiani, D. S., Lazzari, N., & Presutti, V. (2024). Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification. In A. Salatino, M. Alam, F. Ongenae, S. Vahdati, A.-L. Gentile, T. Pellegrini, & S. Jiang (Eds.), Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI: Proceedings of the 20th International Conference on Semantic Systems, 17–19 September 2024, Amsterdam, The Netherlands (pp. 68-87). (Studies on the Semantic Web; Vol. 60). IOS Press.