Summer School on ‘Water Informatics: Science and Systems’ at LUMS
Centre for Water Informatics and Technology, Lahore University of Management Sciences (WIT-LUMS)
Date: May 20-23, 2017
Time: 9:00 am to 5:00 pm (Daily)
Venue: 10-201 Auditorium, 2nd Floor, SBASSE building, LUMS
The Lahore Univeristy of Management and Sciences (LUMS) Centre for Water Informatics and Technology will host its third School on ‘Water Informatics: Science and Systems’ from November 20, 2017 till May 23, 2017 at LUMS. This School follows the Fall School that was held in November 2016; it had attracted a large body of students, academics and professionals engaged with water management.
The aim of the workshop is to bring together academics (students, researchers, scientists) and practitioners (policy makers, government representatives) and engage them in addressing water management through a multidisciplinary approach. This is important because addressing water challenges requires water managers to apply an integrated and interdisciplinary approach, involving hydrological, economic, institutional, legal, policymaking and planning aspects.
The workshop is critical for building capacity in the water sector and will help to bridge the gap between academia and practice, and establish a fruitful co-operation between the academic community and industry, development agencies, NGOs, public administration, local communities, and other relevant institutions for building capacity in innovation and technology for water management.
Interested applicants should complete online registration by May 10, 2017 on the following link: https://goo.gl/hggIMX
The registration fees are highlighted in the table below:
Registration Fee per participant
Academia - Faculty & Staff
Academia - Students (Outside LUMS)
Academia - Students (Group of Ten)
Academia - Students (Group of Fifteen)
Public Sector / Non-Government Sector (NGOs)
Industry / Private Sector
The Summer School on ‘Water Informatics: Science and Systems’ is focused on building capacity through two key modules on, Systems Analysis and Remote Sensing. The two modules will be knit together by demonstrations, field visits and case studies on how the two aspects of sensor data collection (science) and data analysis (systems) can be combined in unified water informatics framework.
The module on Systems Analysis aims to introduce students to systems theory, systems analysis, and applications for quantitatively and qualitatively analyzing critical linkages between water, energy, and food systems in the Indus Basin that are vital for effective policy making and sustainable management of natural resources.
The module on Remote Sensing aims to give participants an introduction to the science and principles of remote sensing of the Earth, remote sensing data acquisition (specifically satellite data sets in public domain), as well as hydrological applications of remote sensing.
The two modules will be knit together by demonstrations, field visits and case studies on how the two aspects of sensor data collection (science) and data analysis (systems) can be combined in unified Water Informatics framework.
Module 1: Systems Analysis
Systems Analysis as a method of inquiry provides a holistic or system view of the problem at hand by decomposing it into smaller components and solving each one independently whilst simultaneously accounting for the interconnections among the components. This philosophy makes Systems Analysis a perfect candidate to tackle the global transformation challenges such as climate change, pollution, the energy crisis and nexus problems such as the water-energy-food nexus. Systems Analysis has now begun to be viewed as an art, which requires experience in linking extremely disparate disciplines and an ability to form integrated solutions to complex issues. This module seeks to provide the audience with an exposure to Systems Analysis techniques through the following Module Learning Objectives (MLO’s)
- Methods for understanding complex systems
- Multi-criteria Decision Making
- Technical advances in Systems Analysis
- Harnessing Systems Analysis tools for solving global issues
- Water-Energy-Food Nexus
Module 2: Remote Sensing
Remote sensing is the science and technology enabling acquisition and interpretation of information from a distance, using sensors that are not in physical contact with the subject. Remote sensing of the Earth’s environment is a vast subject with many compelling applications in diverse areas such as natural resource management e.g. agriculture, forestry, mining, hazard assessment, urban monitoring, and climate change. This module will provide a broad introduction of remote sensing of the Earth’s environment, with particular emphasis on hydrological applications. This module will present:
- An introduction to the science and principles of remote sensing of the Earth
- Remote sensing data acquisition (specifically satellite data sets in public domain)
- Hydrological applications of remote sensing
The audience for this event is not only limited to water professionals and researchers, but also managers in the corporate and public spheres who are striving to reorient their focus towards water issues. The audience may include policy-makers, engineers and managers responsible for planning, developing and implementing water resources projects and programmes. Participants will gain a new understanding and a broad view of management tools aimed at tackling water-related issues in water scarce regions.
Each module will be 4 - 5 sessions of 90 minute session. A list of confirmed lecturers and speakers include:
- Dr. Afreen Siddiqi - MIT, USA
- Dr. Susan L. Ustin - UC Davis, USA
- Dr. Stefano Vignudelli - CNR, Italy
- Dr. Elena Rovenskaya - IIASA, Austria
- Dr. Waqas Qazi - IST, Islamabad
- Dr. Danial Hashmi - IST, Islamabad
- Dr. Zubair Khalid - LUMS
- Dr. Abubakr Muhammad - WIT, LUMS
- Mr. Asif Khan - UET, Peshawar
Registration payment should be in the form of a Bank draft named to the “Lahore University of Management Sciences”.
Deadline for payment is May 12, 2017.
Postal address for Bank draft
Soban Hameed Saigol
WIT Center, SBASSE 4th Floor, Room No 10-413,
Lahore University of Management Science
Opposite Sector U, DHA,
For more details, please contact
Soban Hameed Saigol,
Administrator, LUMS WIT
Phone: +92 332 4495057