HOW DOES
DEEP WORK?
DEEP is an intelligent web-based platform that offers collaborative tools tailored for qualitative secondary data review. It combines the power of qualitative data analysis with AI-powered features to make the process as efficient and streamlined as possible. But what does this really mean?
Let’s dive a bit more into qualitative data analysis and understand the AI power behind DEEP.
DEEP Qualitative Analysis
DEEP helps conduct more effective and efficient qualitative data analysis. In ever-changing and diverse contexts like humanitarian crises, there is a need to organize and break down reality into different categories. DEEP facilitates this division of information through customizable analytical frameworks.
With its multiple functionalities, DEEP provides analysts with a range of tools for collecting, processing, collating, visualizing, exporting, and analyzing data, ensuring a comprehensive understanding of complex scenarios.
simplify the PROCESS
DEEP facilitates the different steps involved in qualitative secondary data review
Various formats: DEEP supports a wide array of inputs to support the qualitative data review process (URLs, PDFs, Word files, Excel files, graphics).
Online vs local sources: Add documents to your projects from
a wide variety of sources such as online portals, cloud services or your local disk.
Connectors: Connect data platforms with your project in order to find sources easily.
Create new projects to monitor, identify, and request to join and collaborate on existing projects; Clone, adapt or design your analysis framework and approach.
Tagging & Assessments registry:
Add own leads and sources;
Connect to multiple real-time data sources or feeds; Access structured and organized historical data.
Streamline your analytical process, making it more efficient and insightful; address critical aspects of your analysis by identifying information gaps and crafting analytical statements.
Get a visualization of all data gathered in your project;
Filter information.
Excel & Word exports:
Export all your data in either Excel or Word for sharing.
Reporting module: Design, edit, and share web reports
DEEP AI
DEEP is the first humanitarian platform to integrate AI in the form of Natural Language Processing (NLP). This field of study is focused on developing techniques and algorithms for processing and analyzing human language. It draws on knowledge from computer science, linguistics, and artificial intelligence, among other areas. NLP is concerned with tasks such as text classification, sentiment analysis, language translation, speech recognition, and text summarization, among others.
In DEEP we use this technology to support the humanitarian sector with classification and categorization for analysis tasks and report generation for crises. It is embedded in the platform to quickly categorize, extract, summarize, and analyze texts to generate reports in a more efficient manner. DEEP has practical applications of Artificial intelligence making it the pioneer in bringing NLP to the humanitarian and development sectors.
FEATURES
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FAQ
We identified some risks such as potential harm coming to those affected by the tools, for example beneficiaries of humanitarian aid, risks to human rights of beneficiaries, discriminatory or stereotypical treatment of certain groups in the tool, threats to the safety of certain groups, impact on the humanity, neutrality, impartiality and independence of humanitarian organisations and cybersecurity risks. In our attempt to create technology with the highest ethical considerations, we make sure we work to mitigate those risks in research and practice. We start then our first application as follows:
As part of the humanitarian imperatives of neutrality and impartiality, it is important to be aware and to reduce the societal biases and stereotypes encoded in the models. Part of our research is focused on defining, measuring and mitigating the possible societal and harmful biases reflected in the classification models, while maintaining the high accuracy and performance of the models.
DEEP prioritizes data security and privacy. All data uploaded to the platform is encrypted both in transit and at rest. You control who can access your data by setting permissions within your workspace. Only authorized users—those you explicitly invite—can view or edit the information. Additionally, DEEP complies with data protection regulations to ensure your data is handled responsibly.
Currently DEEP is only available in English. However, we have an open-source platform that means that it can be adapted for other languages and we have it on the technical roadmap.
DEEP is designed for anyone involved in humanitarian analysis, including data analysts, researchers, and decision-makers. You don’t need advanced technical skills to get started, however you will need an understanding of qualitative analysis. DEEP offers training materials and support to help new users quickly become proficient. If you need additional support, please reach out to support@thedeep.io
DEEP allows for seamless collaboration through shared workspaces. You can invite team members to join a project, assign specific roles, and work together on the same datasets in real time. The platform tracks changes and provides an activity log, making it easy to coordinate efforts and ensure consistency across the analysis being conducted.
DEEP is regularly updated to improve functionality and user experience. Updates typically include new features, performance enhancements, and bug fixes. The development team actively gathers feedback from users to prioritize improvements. Keep an eye on the DEEP website or community announcements for the latest updates.
WHAT'S NEW IN DEEP?
LATEST FEATURES
TECHNICAL ROADMAP
Latest Initiative:
JAWS
The Joint Analysis Workspace (JAWS) will use advanced technologies to integrate qualitative and quantitative data and elicit expert judgement. JAWS is designed to be an agile platform, supporting various use cases such as needs and situation analysis, research, learning, and outcome monitoring.
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