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A Greek spin-off company has developed an innovative solution for sensing and monitoring social media during disaster events and is seeking partners to collaborate on the implementation of pilot projects.

Summary

Profile Type
  • Technology offer
POD Reference
TOGR20241210015
Term of Validity
10 December 2024 - 10 December 2025
Company's Country
  • Greece
Type of partnership
  • Research and development cooperation agreement
Targeted Countries
  • All countries
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General information

Short Summary
A Greek spin-off company with expertise in spatial and multimodal AI analytics has developed a social media sensing and monitoring solution. This tool enables effective monitoring of social media activity during disaster events, allowing for real-time analysis of the relevant content. The company is looking for partners in the field of crisis management, emergency response or public policy, who are interested in implementing pilot projects under research and development cooperation agreements.
Full Description
The Greek company is a business intelligence spin-off focused on promoting green and digital transformation within both public and industrial sectors. Leveraging expertise in earth observation, AI, and Computer Vision, the company turns advanced research into sustainable digital solutions. Specializing in the environmental and Industry 4.0 fields, it provides decision-support systems and visual analytics tools that foster greater sustainability and operational efficiency.

Their latest innovation is a social media sensing and monitoring solution designed for first responders and civil protection organizations. This tool facilitates the efficient monitoring of social media content during disaster events. By analyzing social media streams, which often provide vital information and multimodal event descriptions (e.g., individuals in danger), the tool uncovers "hidden" insights. These insights offer a comprehensive view of events from various perspectives, enhancing situational awareness and decision-making in critical scenarios.

The social media monitoring solution involves the crawling, representation, and analysis of Twitter content, aiming to classify tweets as relevant or irrelevant to each use case scenario for multiple languages. Relevance classification analysis aims to deliver to the end user information that is potentially useful for decision makers, emergency managers and operators, through effective visualizations. The social media information is filtered through a text analysis solution to extract concepts and locations from text for further integration, visualization and decision making.

The company is looking to collaborate with organizations involved in crisis management, emergency response, and public safety, including government agencies, disaster management centers, municipalities, and NGOs. The goal is to implement pilot projects that will validate the business value of their social media sensing and monitoring solution under research and development cooperation agreement.
Advantages and Innovations
The company's innovative nature is evident in its significant achievements, including recognition in renowned innovation competitions and acceptance into a leading space technology incubation program. Supported by a team of experts in earth observation, AI, and computer vision, the company has proven its ability to provide impactful and sustainable solutions across various industries.

The company’s social media monitoring solution is equipped with advanced functionalities designed to support effective crisis management and disaster response. It includes a dashboard for tracking crisis-related tweets, offering a centralized view of relevant updates. The tool features multimodal disambiguation, which filters out irrelevant tweets to ensure the accuracy of the collected data, and a cluster view that organizes event monitoring by grouping related information. Additionally, it provides geo-localization capabilities, using text data to identify geographic locations, and visualizes this information through geographic information systems (GIS). A built-in notification system delivers real-time alerts, and the tool can be extended to integrate seamlessly into command-and-control room environments. These features enable efficient data gathering and real-time analysis, facilitating timely and informed decision-making during emergencies.
Stage of Development
  • Available for demonstration
Sustainable Development Goals
  • Goal 3: Good Health and Well-being
  • Goal 11: Sustainable Cities and Communities

Partner Sought

Expected Role of a Partner
The company is seeking early adopters to perform pilot implementations and testing of its social media monitoring solution under research and development cooperation agreement.

Partners include organizations in crisis management, emergency response, and public safety, such as government agencies, disaster management centers, municipalities, and NGOs. The tool is also well-suited for environmental monitoring agencies and private companies focused on security, real-time data analysis, and public sentiment monitoring. Additionally, academic and research institutions could utilize the tool to explore the role of social media in crisis prediction and event response. Insights gained from these implementations will be critical in validating the tool’s business value and refining its functionality for wider applications.
Type and Size of Partner
  • SME 50 - 249
  • SME <=10
  • SME 11-49
  • Big company
  • University
  • Other
  • R&D Institution
Type of partnership
  • Research and development cooperation agreement

Dissemination

Technology keywords
  • 01003006 - Computer Software
  • 10002009 - Natural Disasters
  • 01003003 - Artificial Intelligence (AI)
  • 11005 - Infrastructures for social sciences and humanities
Market keywords
  • 01004007 - Network test, monitoring and support equipment
  • 02007016 - Artificial intelligence related software
  • 02007001 - Systems software
  • 02007015 - Integrated software
Sector Groups Involved
  • Digital
Targeted countries
  • All countries

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