TY - GEN
T1 - Info-Wild
T2 - 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023
AU - Mitra, Prasenjit
AU - Ghosh, Shreya
AU - Dilkina, Bistra
AU - Müller, Thomas
N1 - Publisher Copyright:
© 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2023/10/21
Y1 - 2023/10/21
N2 - Our primary objective is to explore and enhance AI's role for wildlife conservation, in brief, Nature Through the Lens of AI. It seeks to address crucial challenges related to data heterogeneity, scale integration, data privacy, mitigating biases, and decision-making under uncertainty. This workshop is centred around leveraging AI's prowess in deciphering complex spatio-temporal data patterns for wildlife conservation, thereby contributing significantly to the broader canvas of AI for social good. The workshop intends to create an interdisciplinary platform bringing together computer scientists, data scientists, geospatial experts, ecologists, and conservation practitioners, fostering collaboration and driving real-world impact. The program will include keynote speeches, panel discussions, and interactive sessions focusing on efficient knowledge extraction and management, remote sensing technologies, predictive modeling, species distribution modeling, habitat quality assessment, and human-wildlife conflict mitigation. Workshop URL is: https://wildinfo.ist.psu.edu/.
AB - Our primary objective is to explore and enhance AI's role for wildlife conservation, in brief, Nature Through the Lens of AI. It seeks to address crucial challenges related to data heterogeneity, scale integration, data privacy, mitigating biases, and decision-making under uncertainty. This workshop is centred around leveraging AI's prowess in deciphering complex spatio-temporal data patterns for wildlife conservation, thereby contributing significantly to the broader canvas of AI for social good. The workshop intends to create an interdisciplinary platform bringing together computer scientists, data scientists, geospatial experts, ecologists, and conservation practitioners, fostering collaboration and driving real-world impact. The program will include keynote speeches, panel discussions, and interactive sessions focusing on efficient knowledge extraction and management, remote sensing technologies, predictive modeling, species distribution modeling, habitat quality assessment, and human-wildlife conflict mitigation. Workshop URL is: https://wildinfo.ist.psu.edu/.
UR - http://www.scopus.com/inward/record.url?scp=85178163218&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85178163218&partnerID=8YFLogxK
U2 - 10.1145/3583780.3615313
DO - 10.1145/3583780.3615313
M3 - Conference contribution
AN - SCOPUS:85178163218
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 5281
EP - 5284
BT - CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
PB - Association for Computing Machinery
Y2 - 21 October 2023 through 25 October 2023
ER -