Login
Login
Register
Complete Your Profile
Change Password
Request a Password Reset
Download Documents
Download Documents
Get Help to Participate in This Tender
Change Password
For better security, update the account password.
WORLD BANK(WB) has floated a tender for Droughtwise - Ai-Powered Language Model for Drought Forecasting and Decision Support. The project location is Afghanistan and the tender is closing on 30 Jul 2025. The tender notice number is 0002017343, while the TOT Ref Number is 122685211. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.
Procurement Summary
Country: Afghanistan
Summary: Droughtwise - Ai-Powered Language Model for Drought Forecasting and Decision Support
Deadline: 30 Jul 2025
Other Information
Notice Type: Tender
TOT Ref.No.: 122685211
Document Ref. No.: 0002017343
Financier: World Bank (WB)
Purchaser Ownership: Public
Tender Value: Refer Document
Purchaser's Detail
Name: Login to see tender_details
Address: Login to see tender_details
Email: Login to see tender_details
Login to see detailsTender Details
BackgroundAfghanistanis highly vulnerable to intense and recurring natural hazards that further riskgrowth and stability. Since 2000, natural disasters (i.e., droughts, earthquakes, epidemics, extreme temperature, floods, landslides, storms) have affected closeto 19 million people, resulting in 10, 656 deaths and US$173.11 million in totaldamages. Of these hazards, droughts have the most widespread impact and affecta larger population. The 5 significant drought events, occurring in 2000, 2006, 2008, 2011/12, and 2017/18, have affected over 17 million people with estimateddamages totaling US$142.05 million. With its diverse topography, isolation ofmany vulnerable communities, and limited coping mechanisms, hazard events inAfghanistan, regardless of security factors, are ever more likely to turn intodisasters with significant humanitarian and economic consequences.TheWorld Bank, through the Improving Livelihood Resilience to Climate Changein Afghanistan PASA (P500817), aims to identifyinvestment opportunities for improving livelihoods through moreclimate-resilient agriculture and water sectors, including by enhancingproactive decision making to effectively mitigate the adverse impacts ofnatural hazards on life, livelihoods, and property.Withinthis PASA, the World Bank, with the technical support of a consulting firm, hasrecently developed the Afghanistan Drought Decision Support Platform(AF-DDSP). This first of its kind innovative tool brings drought monitoring& seasonal forecasting for Afghanistan, utilizing high resolution remotesensing data to enhance predictive capabilities. The AF-DDSP aims to enable theBank and other stakeholders to better monitor and forecast the droughtconditions in the country and inform the design and prioritization of futureoperations. The AF-DDSPsystem is built on a modular server-based architecture designed to supportefficient data processing, storage, and access. This includes a Data ProcessingServer (dedicated to processing Earth Observati...
Documents
Procurement Documents for Afghanistan
Access a comprehensive library of standard procurement documents specific to Afghanistan. Here, you'll find all the essential forms, guidelines, and templates required for tender applications and submissions in Afghanistan
Want To Bid in This Tender?
Get Local Agent Support in Afghanistan and 60 More Countries.
View Tenders By
Sign in with Google