+34 942 20 16 16 prietoc@unican.es

Programme

 Day 0: Wednesday, May 16
  Morning
8:45 –  9:00
9:00 – 9:159:00 – 16:00:
Tutorial day
9:15 – 16:00Lecturer: Uwe Ehret (http://hyd.iwg.kit.edu/english/Staff_Ehret.php)
Introduction to the basic concepts and terms of Information Theory: Information, Uncertainty, Shannon Entropy, Mutual Information, Joint Entropy, Conditional Information, Kullback-Leibler divergence, Cross Entropy.

The tutorial will be a mixture of presentation and hands-on examples (no computer needed).

We will also briefly discuss the connection of Bayesian approaches and Information Theory, and some concepts of Data-based Learning (Curse of Dimensionality)
 Day 1: Thursday, May 17
  Morning
8:45 –  9:00Coffee & Greetings
9:00 – 9:15Welcome & Overview
Raúl Medina Santamaría (General Director of IHCantabria)
9:15 – 10:15Keynote Talk (Hoshin Gupta)
– Introduction to Information Theory: Main Concepts, Methods and Relation with Other Fields
10:15 – 10:45Plenum Discussion
10:45 – 11:00Coffee Break
11:00 – 12:30Session 1 : IT and Uncertainty as Basic Concepts of Science
Poster talks by:
1.     Entropy-Based Experimental Design for Optimal Model Discrimination in the Geosciences. Guthke and Nowak
2.    Information-Based Hypothesis Testing. Nearing and Gupta
3.     Assessment of parametric uncertainty and calibration of basin-scale depositional models Patani et al.
4.    Accounting for Uncertainty by Using Data Ensembles. Waelchli
5.   How to Make Data a Blessing to Parametric Uncertainty Quantification and Reduction? Ye, M et al.
12:30 – 1:30Lunch
Afternoon
1:30 – 2:00Contributed Talk (Rui Perdigao): Dynamic Predictability Beyond Memory Loss in Nonlinear Statistical Mechanics: Unveiling the Information Physics of Black Swans
2:00 – 3:15Session 2 : IT for Model-Building
Poster talks by:
6.     Probabilistic measures of expansion rates and uncertainty quantification in stochastic flows . Branicki
7.    Interactions of Information Transfer Along Separable Causal Paths, Peishi Jiang and Kumar,
8.     The hydrologic pendulum: Using information-theory to balance physically-based and empirical approaches for improved streamflow prediction Larsen et al,
9.    Self-organization in river deltas: Nonlocal Entropy Rate Tejedor et al,
10.  Nonparametric predictive models based on Information Theory: A case study to identifying ‘events’ in discharge time series. Thiesen et al
3:15 – 3:30Coffee Break
3:30 – 4:30Breakout Discussion Groups
Topics:
–    Philosophical underpinnings: Uncertainty, hypothesis testing, information
–    How to join information and knowledge of many types and from many sources in models?
–    Can we formulate generalized Null-models based on Information Theory?
4:30 – 5:00Reports from Breakout Groups
5:00 – 5:30Plenum Discussion – Summary of Day 1
5:30Guided tour to IHCantabria facilities (CCOB, IHLab)
AfterDinner & Socializing
 Day 2: Friday, May 18
  Morning
8:45 –  9:00
9:00 – 9:15
9:15 – 10:15Keynote Talk (Praveen Kumar)
- Information flow in complex process networks
10:15 – 10:45Plenum Discussion
10:45 – 11:00
11:00 – 12:30Session 3 : IT for Diagnostics
Poster talks by:
1.  Investigating Multiscale Land-Atmosphere Interactions Using Information Theory. Brunsell,
2.     Bit by bit: A generalized approach for model evaluation by comparing bits invested versus bits of information gained Ehret et al,
3.     It’s raining information: information partitioning of daily rainfall reveals trends across the U.S. Goodwell and Kumar,
4.     Comparison of transfer entropy and information flow methods in idealized test cases and real- world applications Kumar Pothapakual and Ahrens,
5.     How to identify a representative subset of hydro-climatic simulations for impact modeling studies? An information theory approach Pechlivanidis et al,
6.    Stepping up to the challence of reproducing information in ungauged basins. Prieto et al 1,
7.    Estimation of multivariate entropy measures for geospatial analyses Wellmann
12:30 – 1:30
1:30 – 2:00Contributed Talk (Saalem Adera): How does deforestation affect rainfall recycling in the southern Amazon and northern Cerrado?
2:00 – 3:15  Session 4 : Applications to real-world problems
Poster talks by:
8.     Can training data counteract topographic effects in supervised image classification? A sensitivity analysis in the Cantabrian Mountains (Spain). Alvarez et al.
9.    Evaluating the role of groundwater in integrated hydrologic simulations Condon, L.
10.  Moment-based Metrics for Global Sensitivity Analysis of Hydrological Systems Dell’Oca et al.
11.  Habitat models to predict fish distributions and spatial coherence with unbalanced data Gonzalez et al,
12.  Designing Green Infrastructure Networks (GINs) in mountain catchments: how can the Information Theory help us? Perez et al,
13.  What information is needed to predict dominant mechanisms in ungauged basins? Prieto et al 2
3:15 – 3:30
3:30 – 4:30  Breakout Discussion Groups    ||   Tutorial by Allison Goodwell and Praveen Kumar
 opics:-    IT website: structure, content, glossary
–    Workshop special issue or joint paper
4:30 – 5:00 Reports from Breakout Groups
5:00 – 5:30 Plenum Discussion – Summary of Day 2
After
Day 3: Saturday, May 19  
 Coffee & Greetings8:45 – 9:00
 Workshop Summary9:00 – 9:30
Breakout Discussion Groups9:30 – 10:30
Topic: What are barriers to practical applications of IT concepts and how to overcome them?
 10:30 – 10:45
 Reports from Breakout Groups 10:45 – 11:15
Plenum Discussion11:15 – 12:00
 Workshop Ends 12:00

Contact The Organizers

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