Home Webinars An Overview of Decision Support System (DSS)

Event Details

  • An Overview of Decision Support System (DSS)

  • Virtual

  • Webinar

  • Agriculture, Disaster Management, Finance, Planning

  • Pichsinee Chuayrod
    +66 97426 5953

This webinar provides an introduction to the components and functionalities of Decision Support System (DSS), and on the use of information generated from DSS in development plans and investment decisions. This is the first of the six-episode webinar series, Decision Support System (DSS) for Understanding and Reducing Climate Risks.

Time Session
Opening Session
Decision Support System: An Overview
Amir, Rajak, RIMES
DSS Application for Agriculture
Itesh, Dash, RIMES
DSS Application for Disaster Risk Management
Jothiganesh Shanmugasundaram, RIMES
Q&A teaser
Breakout Session
(Sector-based session: Agriculture, Planning and Finance, Water Resource and Transport)
Highlights from the Breakout Session
Q&A and Discussions
Closing Session

Contact Person

Pichsinee Chuayrod    

Speakers 4

Amir, Rajak, RIMES    
Itesh, Dash, RIMES    
Jothiganesh Shanmugasundaram, RIMES    

Participants (47)

Mr. Andrew Oliver-Smith Independent United Kingdom of Great Britain and Northern Ireland
Mrs. Annesha Das Hasi Roads and Highways Department Bangladesh
Mrs. Anusha Warnasooriya Department of Meteorology Sri Lanka
Mrs. Arie Ratna Agustien Independent Consultant Indonesia
Dr. Ashis Kumar Samanta SAARC Agriculture Centre Bangladesh
Mr. Damodar Kanel NA Nepal
Dr. Dharam Raj Uprety Practical Action South Asia Nepal
Dr. Dilip Kumar Gautam RIMES Nepal
Dr. Muhammad Abul Kalam Mallik Bangladesh Meteorological Department Bangladesh
Dr. Indira Kadel Department of Hydrology and Meteorology Nepal
Ms. Keerati Lakhamma Thailand
Mr. Krishna Bahadur Katwal Department of Local Infrastructre (DoLI), Ministry of Federal Affairs and Gneeral Administration Nepal
Mr. Lasakusa Samir Shrestha DHM Nepal
Mr. Mahmood Reaz Climate Resilient Local Infrastructure Centre (CReLIC), LGED Bangladesh
Dr. Mazharul Aziz Department of Agricultural Extension Bangladesh
Dr. Md Abdul Muyeed RIMES Bangladesh
Dr. Md Golam MAHBOOB Bangladesh Agricultural Research Institute Bangladesh
Mr. Md Hasan Shahriar Water Resources Planning Organization (WARPO) Bangladesh
Mr. Md. Shaheenul Islam Bangladesh Meterological Department Bangladesh
Mr. Mohammad Ishaq Noori State Ministry for Disaster Managenet /ANDMA Afghanistan
Ms. Monju Subba National center for Hydrology and Meteorology Bhutan
Dr. Muhammad Fahim Ahmad Pakistan Meteorological Department, Peshawar Pakistan
Mr. Muhammad Irfan Virk PMD Pakistan
Dr. Mukunda Bhattarai National Earthquake Monitoring and Research Center, Department of Mines and Geology, Government of Nepal Nepal
Mr. Niaz Md. Farhat Rahman Bangladesh Rice Research Institute Bangladesh
Mr. Phil N RIMES Philippines
Ms. Pichsinee Chuayrod RIMES Thailand
Mr. Purna Chandra Lal Rajbhadnari ADPC Nepal
Mrs. Pushpanjali Khanal Department of Roads Nepal
Mr. Raihanul Haque Khan RIMES Bangladesh
Mr. Salman Irfan Abbasi Pakistan
Mr. Sanjib Dash India
Dr. Sardar Muhammad Amanullah Bangladesh Livestock Research Institute Bangladesh
Mr. Saroj Kumar Pradhan RIMES Nepal
Dr. Shiromani Jayawardena Department of Meteorology Sri Lanka
Mr. Singay Dorji NCHM Bhutan
Mr. SM Quamrul Hassan Storm Warning Centre Bangladesh
Mr. Subesh Dhakal RIMES Nepal
Mr. Subhajit Ghosh Asian Institute of Technology India
Ms. Syeda Novera Anwar Care Bangladesh
Mr. Uddhav Guragain Asian Institute of Technology (AIT) Nepal
Mr. Usman Butt RIMES Pakistan
Mr. Yoga Raj Pokhrel RIMES Nepal
Mr. Yos Malole caribencana.id Indonesia
Dr. Zaheer Babar Pakistan Meteorological Department Pakistan

Frequently asked question (FAQ)

What Is a Decision Support System?

A decision support system (DSS) is a computerized program used to support determinations, judgments, and courses of action in an organization or a business. A DSS sifts through and analyzes massive amounts of data, compiling comprehensive information that can be used to solve problems and in decision-making.

What is real-time decision support?

At a fundamental level, the hope has always been that our information and decision support systems will help decision makers monitor events, and evaluate, choose and act on alternatives as events actually unfold.

Who uses computerized decision support?

Users including managers, staff, customers, the general public, and workers in business, government and not-for-profit organizations.

Can decision support help political leaders make decisions?

The rational, analytical decision-making approaches often thwarted by political and self-interest decision making.

Can DSS impact decision outcomes?

In some cases, a DSS has little impact on decision outcomes, but it may have other desirable benefits like faster decision making or reduced training costs for new decision makers. Some DSS actually increase the likelihood targeted users will make "good" decisions.

Can DSS improve strategic planning?

Decision support (DSS) can improve strategic planning and strategic control. Many organizations have not defined performance objectives and that limits possibilities. Setting measurable performance objectives is the first step toward using information technology to improve implementation of strategic plans.

Can multi-user visual simulations provide real world decision support?

The computing technology for creating realistic visual simulations has improved tremendously in the past 20 years. Today, Internet-based multi-user visual simulations like Second Life (www.secondlife.com) are creating excitement and interest in the possibilities of virtual reality for entertainment, e-business and education. My experiences suggest the possibilities for decision support are also exciting.

Can using a DSS have unintended negative consequences?

YES. Decision support is not a cure-all or a panacea. Researchers and managers often focus too much on the anticipated positive consequences of using a specific Decision Support System (DSS). Using a computerized system to support decision making can have anticipated and unanticipated negative consequences.

Do entrepreneurs need decision support?

Generally, decision support theory identified bureaucratic managers as the primary business decision makers who needed and wanted computerized decision support.

How smart is IBM Watson?

IBM is heavily promoting a cognitive system named Watson in television ads. A major selling point is that "IBM Watson thinks with us to help outthink competitors." This claim positions IBM Watson as a business decision support system. Has Watson advanced to the point where this claim of "help outthink competitors" is true?

What is the current state of decision support tools for climate change planning?

We researched over 50 tools for climate change planning. Of those, 58% were designed primarily to inform and engage, 38% enabled scenario planning, while just 26% supported decision analysis—comparing, analyzing, and ranking decision alternatives. (These functions were not mutually exclusive.)

What are the advantages of creating DSS tools that support effective climate change planning?

The Primary Advantage of a Decision Support Tool is its ability to promote coordination and collaboration across city departments, organizations, sectors, jurisdictions, regions, and countries. More than anything, effectively mitigating and adapting to the global impacts of climate change will require sharing information and collaborating on solutions at every level.

Is it possible for a DSS to assist non-expert forecasters in the selection and use of appropriate forecasting methods?

An expert system approach for this kind of DSS is possible to implement considering two factors. Firstly, Expert systems are good at encompassing judgment and 'rules of thumb'. Secondly, the ability of the program to explain how the system came to a certain conclusion.

How can DSS help in agriculture?

DSS can help farmers to solve issues related to crop productivity. DSS can help in better water management and optimized irrigation. A French research institute, Irstea (http://www.irstea.fr/accueil), has developed a software called "Pilot" which is capable of estimating future yields of crops based on climate conditions and irrigation.