TENSOR

Retrieval and Analysis of Heterogeneous Online Content for Terrorist Activity Recognition



Project Description

Law Enforcement Agencies (LEAs) across Europe face today important challenges in how they identify, gather and interpret terrorist generated content online. The Dark Web presents additional challenges due to its inaccessibility and the fact that undetected material can contribute to the advancement of terrorist violence and radicalisation. LEAs also face the challenge of extracting and summarising meaningful and relevant content hidden in huge amounts of online data to inform their resource deployment and investigations.
The main objective of the TENSOR project is to provide a powerful terrorism intelligence platform offering LEAs fast and reliable planning and prevention functionalities for the early detection of terrorist organised activities, radicalisation and recruitment. The platform integrates a set of automated and semi-automated tools for efficient and effective searching, crawling, monitoring and gathering online terrorist-generated content from the Surface and the Dark Web; Internet penetration through intelligent dialogue-empowered bots; Information extraction from multimedia (e.g., video, images, audio) and multilingual content; Content categorisation, filtering and analysis; Real-time relevant content summarisation and visualisation; Creation of automated audit trails; Privacy-by-design and data protection.

Relevance for beAWARE

Extract information from multimedia, automatic speech recognition
Classification and topic and event detection approaches
Semantic reasoning
Text generation techniques

TENSOR Website

hackAIR

Collective Awareness for Air Quality



Project Description

hackAIR is an EU-funded project aiming to develop an open technology platform for citizen observatories on air quality. It is supported through the EU programme on “Collective Awareness Platforms for Sustainability and Social Innovation” until December 2018.
Following a co-creation process with users and the development of the hackAIR platform and its components, the hackAIR platform will be pilot tested in Norway and Germany starting in September 2017 in order to validate the service platform and contribute towards individual and collective awareness about air quality in Europe, encouraging changes in behaviour towards air quality improvements.
By pilot testing the hackAIR platform and related collective sensing tools, the project aims to raise collective awareness about the daily levels of human exposure to air pollution.

Relevance for beAWARE

Social media mining
Visual analysis
Sensing technology

hackAIR Website

MULTISENSOR

Mining and Understanding of multilinguaL contenT for Intelligent Sentiment Enriched coNtext and Social Oriented inteRpretation



Project Description

MULTISENSOR is an EU funded research project, which aims at advancing the research and development of multilingual media analysis technologies. The goal is to enable users (e.g. journalists, entrepreneurs) to attain a comprehensive and exact understanding of topics they are engaged in, not only from their own but from multiple viewpoints.
MULTISENSOR stands for Mining and Understanding of multilinguaL contenT for Intelligent Sentiment Enriched coNtext and Social Oriented inteRpretation. Scanning multiple heterogeneous sources MULTISENSOR will help gather and semantically integrate various local subjective and biased views disseminated via TV, radio, mass media websites and social media. Using sentiment, social and spatiotemporal methods MULTISENSOR will then help to interpret, relate and summarize economic information and news items.

Relevance for beAWARE

Classification and topic and event detection approaches
Semantic reasoning
Text generation techniques

MULTISENSOR Website

ANYWHERE

EnhANcing emergencY management and response to extreme WeatHER and climate Events



Project Description

The principal objective of ANYWHERE is to enable society as a whole and the main civil protection agencies to respond more rapidly than today to extreme climate and weather events, and to better cope with the high social, environmental and economic impacts related to these extremes.
The Project will establish a pan-European platform on extreme climate risks that will enable to identify, in a number of geographic regions, critical situations that could lead to loss of life and economic damages. Such early-warning should enable to improve protection measures and, in case of catastrophic situations, ameliorate the coordination of rescue operations.
The platform will therefore serve as decision-making tool for various authorities when faced with a situation of crisis, and will provide state-of-the-art early warning systems to help exposed populations avert disaster.

Relevance for beAWARE

Integration of emergency management data coming from multiple sources
Climate crisis managements solutions
Coordination of the emergency response operations

ANYWHERE Website

I-REACT

Improving Resilience to Emergencies through Advanced Cyber Technologies



Project Description

I-REACT is an innovation project funded by the European Commission. The project aims to integrate emergency management data coming from multiple sources, including that provided by citizens through social media and crowdsourcing. This way, it will be possible to produce information faster and allow citizens, civil protection services and policimakers to effectively prevent and/or react against natural disasters.

Relevance for beAWARE

Integration of emergency management data coming from multiple sources
Climate crisis managements solutions
Coordination of the emergency response operations

I-REACT Website