Hungary, Budapest

Geospatial Solutions for Water Management

when 2 July 2018 - 6 July 2018
language English
duration 1 week
credits 1 ECTS
fee EUR 300

This course is part of a series of “Bridging ICTs and the Environment” workshops that aim to address that gap: providing in-service education and professional training for environmental decision-makers and practitioners, who are in a position to greatly benefit from this data revolution to better shape management strategies and to make more informed, data-driven decisions.

The primary focus of this workshop is ICT application in water management and water security. It will cover a number of technologies including remote sensing, geospatial technologies, data publishing, and decision-support systems, among others. In particular, the role of satellite-based earth monitoring and remote sensing for environmental studies and management will be discussed, highlighting their potential and limitations. The course will contribute to disseminating recent research results and raising awareness about potential ICT benefits. The workshop provides a timely opportunity to get updated on the latest advances in geospatial technologies and remote sensing, and their application to the monitoring of water related SDGs.

The course will begin with a plenary session featuring presentations by the world ICT leaders (Google, Esri, etc) and practitioners (e.g. DG JRC and UNOOSA), setting the stage in applying geospatial technologies and highlighting the importance of “data revolution” in monitoring SDGs. The lessons learnt by participants from these theoretical sessions will be accompanied by practical sessions later during the week.

Course leader

Viktor Lagutov, Systems Laboratory, Central European University, Budapest, Hungary
Lorant Czaran, United Nations Office for Outer Space Affairs, Vienna, Austria
Course Faculty:
Anupam Anand, Global Environment Facility, World Bank Group, USA
Douglas

Target group

The target group for the workshop includes: National Focal Points of international conventions, environmental practitioners, and researchers involved in water and SDG-related issues.

Participants will be required to prove professional and/or academic focus on environmental, water, and/or SDG related issues. Intermediate computer user skills are required for this course, but previous experience with geographic information systems (GIS) or remote sensing software is not required.

Course aim

With the recent adoption of the Sustainable Development Goals (SDGs) and the call by UN Secretary General for a “revolution” in the use of data for sustainable development, geospatial technologies have tremendous potential to effectively and efficiently monitor SDG progress. In the fifteen years since the adoption of the Millennium Development Goals (MDGs), the amount of data available, as well as data collection and processing methods have changed substantially.

Geospatial technologies and remote sensing offer a crucial location element to the monitoring of SDGs and their corresponding targets and indicators. The unprecedented “power of where” allows for unbiased observation and analysis across borders, administrative boundaries, and nations.

Yet there is still a gap between the technology world and the world of environmental decision- and policy-makers. Despite the tremendous potential geospatial technologies offer, there are still traditional fears among practitioners that prevent their uptake. Furthermore, these technologies are constantly changing and improving, making it even more difficult for practitioners to track the updates about the potential use and application of technologies, such as geographic information systems (GIS) and remote sensing.

This course is part of a series of “Bridging ICTs and the Environment” workshops that aim to address that gap: providing in-service education and professional training for environmental decision-makers and practitioners, who are in a position to greatly benefit from this data revolution to better shape management strategies and to make more informed, data-driven decisions.

Credits info

1 ECTS
Our courses offer ECTS points, which may be accepted for credit transfer by the participants' home universities. Those who wish to obtain these credits should inquire about the possible transfer at their home institution prior to their enrollment.

Fee info

EUR 300: payable until May 28, 2018
EUR 270: The early bird fee option is available until April 30, 2018

Scholarships

Financial aid is available