Agenda Outline:
8-8:15am Welcome - Vipin, Shashi, Imme
8:15-9:50am Session 1
10am-10:15am Break
10:15-12:10pm Session 2
12:15- 1:30pm Lunch
1:30-2:35 Session 3
2:40-3:30pm Poster session
3:30-3:45 Break
3:45-5pm Panel (incl. closing remarks)
5pm Workshop ends
Program Details:
Session 1, 8:15-9:50am:
Paper: Machine Learning for the Geosciences - Opportunities, Challenges, and Implications for the ML process | Anuj Karpatne, Hassan Ali Babaie, Sai Ravela, Vipin Kumar, Imme Ebert-Uphoff
Invited talk by James Faghmous: Precision global health: An endeavor at the nexus of Big Data, climate, and health
Paper: Mapping Plantations in Indonesia: A Summary of Results | Xiaowei Jia, Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul West, Vipin Kumar
Paper: Edge-based Remote Sensing for the Next Green Revolution: A Position Paper | John Jernigan, Ranga Raju Vatsavai
Paper: Structure Learning in Spectral Space with Applications in Climate Science | Savini Samarasinghe, Yi Deng, Imme Ebert-Uphoff
Paper: delta-MAPS: From Spatio-temporal Data to a Weighted and Lagged Network Between Functional Domains | Ilias Fountalis, Annalisa Bracco, Bistra Dilkina, Constantine Dovrolis
Session 2, 10:15am-12:15pm:
Invited talk by Yulia Gel: Data mining, model fusion and uncertainty quantification for mitigating climate-induced risks in insurance
Paper: Modeling Weather-induced Home Insurance Risks with Support Vector Machine Regression | Asim Kumer Dey, Vyacheslav Lyubchich, Yulia Gel
Paper: On Employing Multi-Resolution Weather Data in Crop Insurance | Azar Ghahari, Yulia Gel, V. Lyubchich, Yongwan Chun, Daniel Uribe
Invited talk by Suzanne Pierce: The Research Collaboration Network on Intelligent Systems in the Geosciences - What is it and how can you get involved?
Paper: Data-Driven Koopman Analysis of Tropical Climate Space-Time Variability | J. Slawinska, E. Szekely, D. Giannakis
Paper: Coherent Spatial Clusters for Indian Rainfall Anomalies across Time Scales | Adway Mitra
Paper: Future Perspectives and the Ethics of Data Science Problem Statements | Anne Denton
Session 3 1:30-2:35pm:
Paper: A Hybrid Deep Learning Framework for Long Term Drought Prediction | Norbert Agana, Abdollah Homaifar
Invited talk by Raju Vatsavai: Mining Global Earth Observations: Algorithms, Applications, and Challenges
Paper: Discovering Sub-Interval Relationships In Time Series Data: An Application to Global Sea Level Pressure Data | Saurabh Agrawal, Anuj Karpatne, Vipin Kumar
Paper: Monitoring Dynamics of Water Bodies at Global Scale using Remote Sensing Data: Opportunities, Challenges and New Research Directions | Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
Poster session 2:40-3:30pm:
Your opportunity to engage with authors of all workshop papers next to their posters.
Panel 3:45-5pm:
Topic: Understanding and narrowing gaps between Data Science (e.g., Data Mining, Machine Learning, Statistics) and Mechanistic theories in physical scienes (e.g., underlying processes driving patterns, extrapolating beyond observed conditions)
Detailed panel information can be found here.
Panelists: Chid Apte (IBM), Joydeep Ghosh (U Texas- Austin), Sai Ravela (MIT), Anuj Karpatne (UMN)