The Issam Fares Institute for Public Policy and International Affairs
Cordially invites you to a lecture and discussion
Making Sense of Crowd-Sensing Water Data
Co-founder and CEO of hydrosolutions Ltd.
Friday, March 24th, 2017
11:00am - 1:00pm
Issam Fares Institute - Conference room (4th floor) - AUB (Green Oval)
In developing and transitional countries and despite significant global investments in hydrometeorology, data on water remain scarce/fragmented. One key reason is that traditional sensing in hydro-meteorology does not scale because of high investment costs and difficult operation and maintenance of traditional technology, especially in remote and/or poor regions and because vandalism is an issue in many places. Even where there are data, these are often difficult to access and interpret for local stakeholders due to outdated data transmission and the lack of access to modern tools for data management/analysis/synthesis and exchange.
In recent years, there have been substantial technology developments in environmental sensing and mobile communication technologies as well as web-based accounting that enable the application and deployment of affordable and scalable high-tech solutions for better water management at different scales (local to transboundary levels). This talk will present insights and learnings from the multi-year global iMoMo Initiative that is supported by the Swiss Agency for Development and Cooperation and that focuses on crowd-sensing water data and the application of such data for resource management and conflict resolution.
Tobias Siegfried obtained an MSc Degree in Environmental Physics at the Swiss Federal Institute of Technology (ETH, 1992 - 1997). He obtained a second MSc Degree in International Relations at the London School of Economics and Political Sciences (1998 - 1999). From 2000 - 2005, he carried out his PhD at the Institute of Environmental Engineering at ETH. Siegfried is the co-founder and CEO of hydrosolutions Ltd., a Swiss-based consulting company that focuses on the development and deployment of modern technologies for better water resources management, including on technologies for crowd-sensing water data.
Tobias Siegfried's work is strongly interdisciplinary, using a host of statistical and physical simulation methods for simulating, forecasting and optimizing human-environment interactions in the context of irrigation and hydropower production. Siegfried has extensive work experience in Sub-Saharan Africa, the Middle East and Northern Africa region, India, Central Asia, the United States of America, and in Europe.
Note: Lecture will be in English