DEEP — Using Artificial Intelligence to improve global coordination between humanitarian actors

Mitigating data collection challenges in humanitarian contexts during COVID-19 pandemic through United Nations (UN) partnerships and other actors

Improving the efficiency of data processes allows organizations to focus on what matters the most — saving lives

  • Needs assessment and analysis: Connect DEEP to any online data source and carry out data collection and needs assessment studies through its AI-assisted secondary data review, and the — coming soon — Kobo integration for primary data collection.
  • Strategic response planning: After carrying out needs assessment and analysis, you will be able to access actionable geolocalized data and prepare your response plan. Define country strategy — narrative, strategic objectives and indicators — and cluster plans consisting of objectives, activities and accompanying projects, which detail implementation and costing of the strategy.
  • Resource mobilization: Map projects & activities, resources, budgets and beneficiaries reached into a user-friendly interface, and fasten collaboration with your team members. Export data, infographics and maps to present it to stakeholders, funders and donors.
  • Implementation and monitoring: Carry out multidimensional analysis to gain real time insights on your response plan, from project and activity mapping to monitoring. Assess targeted and reached beneficiaries. DEEP could be used for activities such as 3W : Who does What & Where, 4W : & When, 5W : & for Whom.
  • Operational peer review and Evaluation: Support the enhancement of the collective response and identify good practice & learning to share with other operations: leadership arrangements; key obstacles affecting operational, coordination mechanisms, accountability to affected people, and implementation of the humanitarian programme cycle.
  • Preparedness: Anticipatory Actions, using historical data on the impact of crises enable the humanitarian community to better estimate expected needs in case of a crisis event of similar magnitude happening in the future.
  • Research Centers & Academics: Organize research paper production within DEEP, by defining custom analysis framework, simplifying your workflow, automating your tasks and centralizing your information within DEEP.
  • Information Management (IM), Coordination between organizations and Clusters, such as GIMAC or Cluster Coordination Teams working with Local & National NGOs, INGOs and Governments.

Towards a global humanitarian data platform for insights based action

  • Hundreds of monthly analysis points at sub-national levels (here is a sample for Syria), thematic reports analyzing the evolution of ongoing situations, e.g. quarantine effects, protection concerns, access to basic goods and services, market prices, etc.
  • Hundreds of weekly snapshots of available information at sub-national levels summarized visually in dashboards for each country.
A dashboard in DEEP showing assessment data for the Venezuala migration crisis

Improving global coordination with the help of Artificial Intelligence (AI)

Data Friendly Space and DEEP Now

  • Share COVID-19 related data. Partner organizations could for example access geolocalized data on the number of COVID-19 cases with underlying factors, people in need for humanitarian response on the ground, population displacement information, legal measures adopted by governments, effects of confinements on local economies, schools, health systems etc.
  • Partner with academic and private sector organizations to improve the platform’s AI and NLP functionalities. DFS and DEEP are willing to share NLP datasets and models created with standard humanitarian taxonomies. DEEP provides NLP services to help humanitarian organizations automate data collection and classification, which could be opened to new actors or connected to existing systems on demand.
  • Secure support for both additional improvements to the DEEP platform and foster adoption of DEEP amongst additional humanitarian organizations, research centers, foundations, or any other interested organization.

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Improved humanitarian response through better data

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