Dublinked is a unique initiative between Dublin’s Local Authorities and National University of Ireland Maynooth. This new regional data sharing initiative sees previously unreleased public operational data being made available online for others to research or reuse. All datasets are detailed on the Dublinked Datastore, ranging from planning, transport, environment, arts, culture and heritage. Looking, for data or provide data?, simply get in touch via Data Request or email.
Z. Wang, R. Turko, O. Shaikh, H. Park, N. Das, F. Hohman, M. Kahng, and D. Chau. (2020)cite arxiv:2004.15004Comment: 11 pages, 14 figures. For a demo video, see https://youtu.be/HnWIHWFbuUQ For a live demo, visit https://poloclub.github.io/cnn-explainer/.
M. Srivastava, H. Heidari, and A. Krause. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD \textquotesingle19
, ACM Press, (2019)
R. Binns, M. Van Kleek, M. Veale, U. Lyngs, J. Zhao, and N. Shadbolt. (2018)cite arxiv:1801.10408Comment: 14 pages, 3 figures, ACM Conference on Human Factors in Computing Systems (CHI'18), April 21--26, Montreal, Canada.
D. Cosley, D. Frankowski, L. Terveen, and J. Riedl. Proceedings of the 12th international conference on Intelligent user interfaces
, page 32--41. New York, NY, USA, ACM, (2007)