syria-economic-monitor

Support for the Syria Economic Monitor

https://github.com/datapartnership/syria-economic-monitor

Science Score: 59.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    1 of 11 committers (9.1%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.1%) to scientific vocabulary

Keywords

ais-data data-for-good data-good data-science datapartnership global-development mobility nighttime-lights ntl syria syria-economic-monitor
Last synced: 6 months ago · JSON representation

Repository

Support for the Syria Economic Monitor

Basic Info
Statistics
  • Stars: 7
  • Watchers: 4
  • Forks: 4
  • Open Issues: 12
  • Releases: 2
Topics
ais-data data-for-good data-good data-science datapartnership global-development mobility nighttime-lights ntl syria syria-economic-monitor
Created over 3 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

Support for World Bank Syria Economic Monitor

DOI

Using Alternative Data to Understand Changing Trends in Trade and Economic Activity

Challenge

The Syria Economic Monitor is a semi-annual economic publication of the World Bank, which provides updates on key economic developments, outlook, risks, and policies.

The conflict in Syria has inflicted a devastating impact on the inhabitants and economy, but measuring the true extent of the damage has been challenging. With the prolonged conflict, the countrys statistical capacity has been weakened, and reliable and timely information regarding many areas of economic activity, particularly trade, is inaccessible. Further, the Bank has no formal communication with the Syrian government, making basic data access and verification unusually challenging.

Solution

The Syria Economic Monitor team requested the WB Data Lab to explore use of alternative data to better understand changing trends in trade and economic activity, focusing on: port activity, surface cross-border transport routes, changes in observed agricultural production, observed nighttime lights, and reported conflict. The team, comprised of colleagues from the Global Operations Support Team (GOST), the Development Impact Monitoring and Evaluation team (DIME), the Development Data Partnership, and the WB Data Lab, worked with the Syria Economic Monitor team to explore use of alternative open and proprietary data sources to generate new data products that can be sustainably updated. With the datasets and methods provided, over time, the Syria team should be able to create a clearer picture of the state of the Syrian economy.

Results

Datasets and methods used to generate insights for this project have been prepared as Data Goods. Data Goods are comprised of data, reproducible methods (code), documentation, and sample insights. Unlike a traditional data analysis, which results in a single-use report or visualization, Data Goods are designed to be re-used for future updates and projects, thereby building the capacity of the World Bank and partner organizations to quickly and effectively deliver complex data science solutions to pressing global challenges.

{important} In February 2022, the *Syria Economic Monitor* team received a [Data Corps Strategic Brief](https://worldbankgroup-my.sharepoint.com/:b:/r/personal/hkrambeck_worldbank_org/Documents/00%20-%20Labs/%200%20SD%20Data%20Lab%20-%20Shared/Data%20Corps/Data%20Corps%20-%20Projects/2022-02%20DC%20Syria%20Economic%20Brief/Data%20Corps%20Strategic%20Brief%20-%20Syria%20Economic%20Report.pdf?csf=1&web=1&e=5kiAIp), of which the following working methodologies are a result and waiting peer-review.

The following reports featured insights from our projects data and analyses.

Contents

{tableofcontents}

Data

Data Availability Statement

Restrictions may apply to the data that support the findings of this study. Data received from the private sector through the Development Data Partnership are subject to the terms and conditions of the data license agreement and the "Official Use Only" data classification. These data are available upon request through the Development Data Partnership. Licensing and access information for all other datasets are included in the documentation.

License

This project is licensed under the Mozilla Public License - see the LICENSE file for details.

Owner

  • Name: Development Data Partnership
  • Login: datapartnership
  • Kind: organization
  • Email: datapartnership@worldbank.org

Public-Private Data Partnerships for International Development

GitHub Events

Total
  • Issues event: 27
  • Delete event: 2
  • Issue comment event: 42
  • Push event: 89
  • Pull request review event: 2
  • Pull request review comment event: 2
  • Pull request event: 19
  • Fork event: 1
  • Create event: 11
Last Year
  • Issues event: 27
  • Delete event: 2
  • Issue comment event: 42
  • Push event: 89
  • Pull request review event: 2
  • Pull request review comment event: 2
  • Pull request event: 19
  • Fork event: 1
  • Create event: 11

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 158
  • Total Committers: 11
  • Avg Commits per committer: 14.364
  • Development Distribution Score (DDS): 0.684
Past Year
  • Commits: 137
  • Committers: 10
  • Avg Commits per committer: 13.7
  • Development Distribution Score (DDS): 0.65
Top Committers
Name Email Commits
Holly j****y@g****m 50
Sahiti Sarva s****a@g****m 28
Gabriel Stefanini Vicente g****e@w****g 23
Rob Marty r****y@e****u 21
Maria m****s@g****m 13
Benny Istanto b****o@o****m 5
Rob Marty r****3@g****m 5
Holly H****t@g****m 4
andresfchamorro a****8@g****m 4
SahitiSarva 5****a 4
Gabriel Stefanini Vicente g****e@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 17
  • Total pull requests: 58
  • Average time to close issues: 4 months
  • Average time to close pull requests: 1 day
  • Total issue authors: 3
  • Total pull request authors: 7
  • Average comments per issue: 0.76
  • Average comments per pull request: 0.1
  • Merged pull requests: 52
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 13
  • Pull requests: 5
  • Average time to close issues: 5 months
  • Average time to close pull requests: less than a minute
  • Issue authors: 2
  • Pull request authors: 2
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • Holly-Transport (13)
  • SahitiSarva (8)
  • g4brielvs (5)
Pull Request Authors
  • SahitiSarva (31)
  • g4brielvs (12)
  • ramarty (10)
  • bennyistanto (6)
  • Isha957 (6)
  • pre-commit-ci[bot] (4)
  • dmatekenya (2)
  • Holly-Transport (2)
  • mariaruth (2)
  • andresfchamorro (2)
  • dependabot[bot] (1)
Top Labels
Issue Labels
bug (5) documentation (3) 0 Agriculture (1) 0 Conflict (1) enhancement (1) 0 Maritime & Aviation (1)
Pull Request Labels
documentation (11) mobility (4) bug (2) enhancement (2) ntl (2) surveys (1) ndvi (1) 0 Surveys (1) 0 Agriculture (1) 0 Conflict (1) 0 Digital Connectivity (1) 0 Environment & Natural Disaster (1) 0 Maritime & Aviation (1) 0 NTL (1) 0 Population Movement & Activity (1) dependencies (1)

Dependencies

.github/workflows/gh-pages.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v4 composite
  • peaceiris/actions-gh-pages v3 composite
package-lock.json npm
  • dotenv 16.4.5
package.json npm
  • dotenv ^16.4.5
notebooks/environment.yml pypi
pyproject.toml pypi
requirements.txt pypi
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  • bokeh ==3.6.0
  • branca ==0.8.0
  • certifi ==2024.8.30
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  • comm ==0.2.2
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  • executing ==2.1.0
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  • ipython ==8.28.0
  • jedi ==0.19.1
  • jupyter_client ==8.6.3
  • jupyter_core ==5.7.2
  • matplotlib-inline ==0.1.7
  • nest-asyncio ==1.6.0
  • numpy ==2.1.2
  • packaging ==24.1
  • pandas ==2.2.3
  • parso ==0.8.4
  • pexpect ==4.9.0
  • pillow ==10.4.0
  • platformdirs ==4.3.6
  • prompt_toolkit ==3.0.48
  • psutil ==6.0.0
  • ptyprocess ==0.7.0
  • pure_eval ==0.2.3
  • pyogrio ==0.10.0
  • pyproj ==3.7.0
  • python-dateutil ==2.9.0.post0
  • python-dotenv ==1.0.1
  • pytz ==2024.2
  • pyzmq ==26.2.0
  • requests ==2.32.3
  • shapely ==2.0.6
  • six ==1.16.0
  • stack-data ==0.6.3
  • tornado ==6.4.1
  • traitlets ==5.14.3
  • tzdata ==2024.2
  • urllib3 ==2.2.3
  • wcwidth ==0.2.13
  • xyzservices ==2024.9.0