Pedro Hernández Serrano (P.V.)
- (2022-2023) - The FAIR extension: A web browser extension to evaluate Digital Object FAIRness | LINK
- (2022-2023) - Circular Research Data Coursebook | LINK
- (2020-2021) - Distributed Analytics at ODISSEI Laboratory | LINK
- (2018-2021)- Catch Me If You Can: Mapping EU Company Mobility & Abuse-Detection | LINK
- (2019-2021) - LegalTech for Consumer Protection: Using AI for Consumer Protection: creating AI-based persona for mystery shopping | LINK
- (2018-2022) - Case Law Explorer: A Network Analysis toolkit to perform Legal Analytics jobs | LINK
- (2020) - Artificial Intelligence in the classroom | LINK
Moodley, K., Hernández Serrano, P., van Dijck, G., & Dumontier, M. (2019). Similarity and relevance of court decisions: A computational study on CJEU cases. In M. Araszkiewicz, & V. Rodríguez-Doncel (Eds.), Legal knowledge and information systems (pp. 63-72). IOS Press. https://doi.org/10.3233/FAIA190307
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Koretsky, Z., Hernández Serrano, P., Adekunle, S., & Dumontier, M. (2021). A qualitative-computational cataloguing of the EU-level public research and innovation portfolio of clean energy technologies (2014–2020). Current Research in Environmental Sustainability, 3. https://doi.org/10.1016/j.crsust.2021.100084
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Moodley, K., Hernández Serrano, P., Zaveri, A., Schaper, M., Dumontier, M., & van Dijck, G. (2020). The Case for a Linked Data Research Engine for Legal Scholars. European Journal of Risk Regulation, 11(1), 70-93. https://doi.org/10.1017/err.2019.51
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Serrano, P. V. H., & Zaveri, A. (2020). Venturing the Definition of Green Energy Transition: A systematic literature review. https://arxiv.org/ftp/arxiv/papers/2004/2004.10562.pdf
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Zaveri, A., Serrano, P. H., Desai, M., & Dumontier, M. (2018). CrowdED: Guideline for Optimal Crowdsourcing Experimental Design. In Companion Proceedings of the The Web Conference 2018 (pp. 1109-1116). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3184558.3191543
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Nayak, S., Zaveri, A., Serrano, P. H., & Dumontier, M. (2021). Experience: Automated Prediction of Experimental Metadata from Scientific Publications. Journal of Data and Information Quality, 13(4), Article 21. https://doi.org/10.1145/3451219
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Hernandez Serrano, P., Altenburg, L., & Kumar, P. (2020). An exploratory analysis on Agritech policies, innovations and funding for climate change mitigation. In XT. Wu, C. Jermaine, L. Xiong, XH. Hu, O. Kotevska, SY. Lu, WJ. Xu, S. Aluru, CX. Zhai, E. Al-Masri, ZY. Chen, & J. Saltz (Eds.), 2020 IEEE International Conference on Big Data (Big Data) (pp. 2365-2370). IEEE. https://doi.org/10.1109/bigdata50022.2020.9378314
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Hernández Serrano, P., & Robinson, L. (2020). The case for computationally forecasting the evolving interactions between CJEU Judgements and EU legal acts to anticipate policy adoption. Paper presented at Data for Policy 2020, London, United Kingdom. https://zenodo.org/record/3967004#.X2CfNJMzblw
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Pedro Hernández Serrano (P.V.)
Data Stewardship Services Coordinator
UB Research Support and Development
Universiteitsbibliotheek