Coming soon

Joint Analysis Workspace (JAWS)

The Joint Analysis Workspace (JAWS) uses available advanced technologies to integrate qualitative and quantitative data and elicit expert judgement. JAWS is designed to be an agile platform, supporting various usages such as needs, situation and risk analysis, response analysis and decisions, and outcome monitoring.

The workspace will ingest and display quantitative and qualitative data from identified platforms, data lake, or import of ad hoc cleaned and validated datasets.
Guided screens will allow experts to progress through different levels of analysis and workspace participants will be able to complete different steps based on their user role.
Natural Language Processing and Machine Learning will be developed for JAWS based on the extensive DEEP research on automated analysis and topic modelling.
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A stakeholder group from the humanitarian data ecosystem is overseeing system development, including identifying use cases, setting data standards and system requirements.

JAWS offers

Data preparation and access

Fast qualitative and quantitative data preparation, indexing and storing enabling instant access to and use of consolidated and curated datasets at the crisis level.

Data visualization

Customizable and interactive display of quantitative and qualitative data for review by experts.

Guided analysis process

Guided analytical flow from data to insights ensuring analytical rigour, reproducibility and transparency.

Expert input elicitation

Structured approach to and recording of expert input including assumptions, limitations and use of SEJ-methods.

Audited process

Audit trail of analytical tasks, inputs, participation and confidence in conclusions.

Workspace for Joint Analysis

JAWS ANALYSIS Flow*

*Analysis is an iterative process, so while the steps indicate a forward movement, earlier steps will be revisted when needed

Analysis Flow for JAWS

The generic Joint Analysis Method that guides the analysis flow in JAWS can be customized and adapt based on the purpose of the analysis and the depth and rigour required.
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Joint analysis enables organizations to leverage the strengths of diverse expertise, engage stakeholders effectively, and generate insights that are robust, actionable, and well-informed.
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JAWS facilitates real-time collaboration, data sharing, and communication among participants, enhancing the efficiency and effectiveness of joint analysis and enabling access to tacit knowledge and mitigating biases like group thinking.
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Learn more
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Co-Creation of Insights
Encourages open dialogue and collaboration among experts, allowing them to explore hypotheses together and co-create insights.
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Integration of Diverse Perspectives
By incorporating insights from multiple disciplines and backgrounds, joint analysis leads to more comprehensive and well-rounded analyses.
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Stakeholder Engagement
Involving stakeholders in the analysis process ensures that there is a vested interest in the outcome leading to more actionable insights and better decision-making.

DEVELOPMENT PLAN

WHAT'S NEXT

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USE CASES

CCM Sector analysis

The goal is to support the CCM cluster in their HNO analysis by streamlining the process, ensuring quality, and incorporating diverse inputs. It will exemplify using JAWS, with results integrated into the JIAF 2.0 workspace on JAWS.

GPC Protection analysis

To enhance analytical practices, featuing a risk prioritization process and joint analysis workshop to incorporate qualitative and expert knowledge systematically using PAF and KoBo Tollbox's enchanced qualitative data support.

RNRC Analysis support

To foster multi-sectoral joint analysis within NRC, mitigating siloed practices, and piloting a unified approach through standardized methodology and program design workflow towards a streamlined evidence-based programming.

DRC Measuring change

To assess protection program effectiveness by comparting situational and needs data with results data, facilitating the detection of correlations, clarification of change pathways, and attribution of outcomes to DRC interventions.

JIAF

To provide a comprehensive understanding of humanitarian needs, People in Need (PiN), and their severity for effective crisis response planning through collaborative efforts across sectors, integrating quantitative data, qualitative analysis, and expert judgemennts.

UNDRR Risk analysis

To integrate quantitative data and more structures and documented expert discussions into UNDRR's joint risk analysis process for enhanced analysis in humanitarian and development planning documents such as HNOs and CCAs, expert discussions.

INFORM Warning

To utilize expert opinions, document sharing, and structured workflows, qualitative inputs complement INFORM Warning's quantitative data, enhancing crisis forecasts that serve as actionable early warnings.

Get involved

Join our JAWS stakeholders and put forward a use case or contact us for further questions

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