STAHY Workshop 2023

STAHY 2023 - 13th International Workshop on Statistical Hydrology from 8th - 10th November 2023 at The Institute for Experiential AI, Northeastern University in Boston, Massachusetts

The International Commission on Statistical Hydrology (ICSH) of the International Association of Hydrological Sciences (IAHS) invites researchers to submit abstracts for presentation at the 13th International Workshop on Statistical Hydrology (STAHY2023), which will be hosted by Northeastern University in Boston, Massaschuetts (USA), from 8-10 November 2023.

The STAHY 2023 workshop brings together the international statistical hydrology community for vibrant scientific discussions and debates on advanced statistical methods for hydrological applications. This year's theme aims to provide a bridge between the environmental statistics and artificial intelligence communities with methodological discussions, exchange of knowledge, and identification of opportunities for mutual support to solve climate, water, and sustainability issues.

Focusing on the broader scope of the Sustainable Development Goals (SDGs) established by the United Nations in 2015, the theme of the workshop is expected to address several goals but are not limited to Clean Water and Sanitation (SDG 6), Sustainable Cities and Communities (SDG 11), Climate Action (SDG 13), and Life on Land (SDG 15). 

Artificial intelligence and machine learning are creating a renaissance for environmental and hydrologic statistics that STAHY 2023 wishes to capture in its theme. For example, machine learning, including the latest generative pre-trained transformers (GPTs), cannot work without probability theory, and similarly nonlinear statistics can benefit from the flexibility offered by neural network processing. Integrating AI technologies with environmental and hydrologic statistics would provide valuable insights for policymakers to devise informed planning and robust water resources management decisions. Similarly, in this era of Big Data and automated decisions, a wide range of statistical theories such as extreme value theory and human-in-the-loop decisions, continue to remain relevant.  

We welcome contributions that use machine learning, artificial intelligence, hydrologic statistics and/or environmental statistics and address climate, water, and sustainability issues. Sessions will be arranged by scientific topic and aim to include the diverse ways in which traditional environmental statistics, artificial intelligence, and machine learning are applied within these topics.

Expression of Interest:

If you are interested in participating in the workshop, please send an email to [email protected] at your earliest convenience, under the subject “Expression of Interest for STAHY2023”. Please include your name, surname and contact details (i.e. affiliation and email). We will be keeping you updated with the latest workshop news (dates, venue, deadlines, agenda, accommodation options, etc.).

Important deadlines:

17 July – SYSTA Travel Grant Application deadline: CLOSED
15 September – Abstract submission deadline: CLOSED 
20 October – Registration deadline for all participants: NOW OPEN 


8 November - Early Career Workshop
9-10 November - STAHY Workshop

Presenter instruction are here.


Registration is now open. 


Organizing committee members:

Stacey Archfield, U.S. Geological Survey
Auroop Ganguly, Northeastern University
Liz Roderick, Northeastern University
Richard Vogel, Tufts University.

Planning committee members:

Stacey Archfield, U.S. Geological Survey
Richard Vogel, Tufts University
Elena Volpi, Università Roma Tre
Auroop Ganguly, Northeastern University
Sankar Arumugam, North Carolina State University
Jonathan Lamontagne, Tufts University
Svenja Fischer, Ruhr University Bochum
Jew Das,  National Institute of Technology Warangal
Veronica Webster, Michigan Technical University
Jared Smith, U.S. Geological Survey
Salvatore Grimaldi, Università degli Studi della Tuscia.


STAHY 2023 will take place at the The Institute for Experiential AI, Northeastern University, conveniently located on public transportation and Boston Logan Airport. Please click here for hotels near the event venue.


Please feel free to contact Stacey Archfield [email protected] if you have any queries.

We are grateful to our sponsors!

The Institute for Experiential AI at Northeastern University
The Data Intensive Studies Center at Tufts University 
The Sustainability and Data Science Lab at Northeastern University


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