UNICEF works in some of the world’s toughest places, to reach the world’s most disadvantaged children. To save their lives. To defend their rights. To help them fulfill their potential.
Across 190 countries and territories, we work for every child, everywhere, every day, to build a better world for everyone.
And we never give up.
For every child, Hope
The EMOPS Risk Assessment and Analysis Section (RAPS) has a mandate to improve risk analysis and forecasting related to contextual risks, at HQ, RO and CO levels. This includes developing methods and tools to support these activities.
Being able to identify slow and sudden changes in the volume of reporting of online media regarding events connected to potential natural and human-induced events will help UNICEF Country Offices (CO), Regional Offices (RO) and Headquarters (HQ) – including RAPS – identify places where anomalies may indicate growing risk. A system that can automatically point out these situations can act as an efficient searchlight to pinpoint where human analysts need to pay more attention. Trend data can also act as an analytical input.
CATS will directly support existing UNICEF tools and processes such as the Horizon Scan and the Emergency Preparedness Package (EPP), as well as UNICEF’s contributions to inter-agency contextual risk analysis fora.
How can you make a difference?
Advertised: Nov 17 2020 Eastern Standard Time
Application close: Nov 27 2020 Eastern Standard Time
Location: Home-based, United States
Application link: https://bom.to/1d1zAvl
UNICEF’s Office of Emergency Programmes is seeking a Python/SQL Developer Consultant to support UNICEF’s contextual risk analysis and emergency preparedness efforts. The Consultant will develop the back and front end of a system to analyse trends and identify sudden spikes in online country-level media reports about specific types of events. This system will leverage existing natural language processing capabilities (e.g. the Global Database of Event, Language and Tone (GDELT)) and concentrate on querying API, managing data returned from these queries, running calculations on these data, and displaying the results in an interactive interface.
In short, the Context Alert and Trend System CATS will identify real-time points and trend conditions where current country/event reporting (as well as article tone scores, and Goldstein score that rate event significance) exceeds long term averages by defined thresholds.
The Consultant will work closely with the EMOPS Risk Analysis and Preparedness Section. This is a remote / home-based consultancy. The contract starts on 15 January 2021 and ends on 30 April 2021.
To qualify as an advocate for every child you will have…
Work Assignment Overview | ||
Tasks/Milestone: | Deliverables/Outputs: |
Due before |
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29 January 2021 |
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12 February 2021 |
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26 February 2021 |
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12 March 2021 |
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26 March 2021 |
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30 April 2021 |
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07 May 2021 |
- At least two years of Python and SQL project development experience
- Strong Python skills (experience with libraries such as NumPy and Panda are an asset)
- Experience in SQL database development and management
- Experience integrating RESTful APIs with interfaces
- Experience with data analytics (Databricks preferred)
- Experience with data visualization tools such as PowerBI
- Working knowledge of front-end tools such as JavaScript frameworks like React, HTML5/CSS3 is an asset
- Working knowledge of Leaflet for interactive maps is an asset
- Experience with scripting, shell environments, and version control systems is an asset
- Spoken and written fluency in English
- Submit a CV and cover letter outlining how the candidate meets the consultancy requirements
- Include 3 references with accurate phone and email contact information
- Include a financial proposal following the template above, with daily rate covering all expenses. Applications without a financial proposal will not be considered. Rates shall be all-inclusive and include all cost components required to perform the deliverables identified in the TOR.
- Payment schedule is according to deliverable acceptance.
Tags: UNICEF, United States
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