A centralized data collection & analysis hub for the govt to assess existing & emerging global food security threats & their possible impact on Qatar's food security. The system will be a future extension to the National Food Security Analytics use case
for MME & other key govt stakeholders to search and use when needed
Enabler of pro-active action
by finding and alerting users to emerging threats ahead of time.
Ability to assess impact on Qatar’s food security
of emerging global or international food security threats
Related personas
Manager at Microsoft
Maria
Age
31
Status
Married
Country
About Maria
Maria just moved to Doha for the job of her dreams, together with her daughter, born just 6 months ago. Unfortunately, she has to stay away from her husband until he finds a new job in Doha. She’s found an apartment and settled down now, taking on a full-time job while making sure her baby grows up healthy. She’s hopeful and excited about this vibrant city.
Income Level
50% Income Level
Tech Knowledge
90% Tech Knowledge
Farmer
Khalid
Age
42
Job Title
Agribusiness consumer
Country
About Khalid
Khalid produces tomatoes, potatoes, cucumbers & eggplant. 17% of vegetables consumed in Qatar are sourced locally and he thinks that the local market size will be on the rise in the near future. Soil in Qatar may not be very fertile, and the water quality is not always great, but as agricultural technologies keep improving, there is no reason for Khalid’s business not to grow.
Income Level
50% Income Level
Tech Knowledge
90% Tech Knowledge
Commercial Building Owner
Abdulaziz
Age
46
Country
About Abdulaziz
Opening in 2022, the mall is expected to receive a high number of visitors in a short period of time. While the design phase is being finalized, the municipality will be closely monitoring energy usage through construction. Moreover, the mall will have to adapt to different seasonal trends including hot summers, unusual opening patterns during Ramadan months, and high visitor traffic from large events. This high-stress of managing this business has left Abdulaziz to retain his heavy smoking habits.
Income Level
90% Income Level
Tech Knowledge
50% Tech Knowledge
User Journey
1
The system monitors online news, publications, academia and uses natural language processing to filter for food security related pieces
2
The system collates food security intelligence/reports created by the Qatari govt or shared from allies in a central repository.
The system houses data from data & research providers like Bloomberg or The Global Food Security Index by the Economist
3
The systems uses AI to filter and organize info from its various sources, allowing the official to search for rice related reports & data
4
The system automatically alerts key MME & govt. officials when its analysis finds a threat that could potentially impact Qatar.
MME & govt. officials can use the system’s analytics capabilities to scenario test the impact to Qatar’s food security
5
Based on results of scenario test, government takes measures to tackle emerging international food security threats
Integration of multitude of global data & information sources
NLP based filtering
Scenario Testing Analytics
Implementation Analysis
IMPLEMENTATION TIMELINE
progress 50%
Short
Medium
Long
TECHNOLOGY COMMERCIAL VIABILITY
progress 50%
Currently Viable
Viable in Short Term
Viable in Long Term
REGULATORY CONDUCIVENESS
progress 20%
Favorable
Challenging
Complex
INVESTMENT REQUIREMENTS
progress 50%
Small
Medium
Large
Key Implementation Consideration
1
Vendor Selection
Due diligence to identify ones with high competence in NLP, data base architecture, big data analytics, and scenario testing software.
2
Discovery Phase
Research phase to identify existing APIs that can be built on, govt. food security priorities, and enablers for use case development
3
Development
Initial rollout for MME to assess the impact of the system with readily available data, gradual integration of more sources & inputs
4
Testing & Monitoring
Routine maintanace of bins & testing of sensors & availability & accuracy of data upload to Smart Waste Mgmt. System