Ceci est une version HTML d'une pièce jointe de la demande d'accès à l'information 'Documents and statistics on the EMM Open Source Intelligence Suite'.

Bus transfer to evening dinner
20:30 -
Evening Dinner Ristorante Belvedere
Bus transfer to hotel
Friday, 21.10.2016
Building 58, Room 11 (Plenary Sessions), Building 26a Michelangelo 231 and Raffaello 026 hands-on sessions
Bus transfer Hotel to Ispra Site
Welcome Day 2
09:15 -
Strategic Monitor
National Forensics Institute, The Netherlands
(abstract see below)
EMM Server
hands-on session 
10:15 -
Coffee Break
10:30 -
EMM Server
hands-on session
hands-on session
hands-on session
12:00 -
Wrap-Up & Feedback
Lunch (Piccola Mensa)
Bus transfer to airports
Expert Presentations Abstracts
Detecting Radicalization Elements through Social Media - Case Study, Romanian Intelligence

Staying at the cutting edge of information technology advances and capabilities is our main
goal, which adds value to operative counter terrorist investigations.
Monitoring social media, especially Facebook Islamic groups and individuals from Romania,
has revealed that sympathizers, potential adepts and recruiters share their common
ideological beliefs and purposes through virtual public or restricted comments, Jihadist
appeals or video messages, disseminated mainly in Arabic.
The case study focuses on Facebook investigation techniques which proved to be useful in
analyzing the content of personal accounts created by Arab residents living in Romania,
subsequently expelled in the last two years,
OSINT for the next generation: Workin' Together, University of Applied Sciences Leiden
How is EMM OSINT suite used in education for students IT Forensics from the UoAS Leiden?
These students work together in projects doing a case study for an external organisation. At
this moment they are working for Terre de Hommes on the project WATCH, a project about
uncovering sexual exploitation of children in the Netherlands.
JRC Presentation on the latest developments in Social Media Analysis

Recently, the Text and Data Mining Unit of the JRC has been working on the integration between
Twitter and the traditional EMM tools. In order to do so, we get in real time a stream with 10% of all
the tweets posted in the world, and digest it by means of the EMM categorisation engine, based on
user defined keywords and patterns. The tweets caught by the categorisation process are analysed
in order to extract the most relevant hashtags, links and users, that in turn are used to enrich the
information associated with the EMM categories. We have also developed a query language and an
interactive tool that allow users to filter and analyse in real time the tweets flowing in, combining
together EMM categories and Twitter metadata.
Another line of activities in the context of social media analysis focused on the topic of “refugees”
which has received a lot of attention on social networks. The impact of the topic, as well as the
controversies related to it, have motivated people to voice their attitudes either directly, using
evaluative expressions, or indirectly, by bringing forward (factual) arguments that put the topic
under a positive or negative light. We have collected several millions of tweets in English language
which mention the words "refugees", "immigrants" and "asylum seekers". Since the standard
techniques for sentiment analysis proved not to be efficient for processing this data set, we have
developed our in-house methodology for detection of topics on which people express and elicit
attitudes (sentiments, backed up by factual arguments) on refugees. The final outcome of the
application of our approach was a distribution of these topics along the positive and negative scale.
Strategic Monitor, National Forensics Institute, NL
The growing demand for information and the need for overview and insight herein, in combination
with the growing amount of (potential) relevant information, is our motivation for our search for an
innovative solution, that will enhance and extend our analytical capabilities. These capabilities should
and will enable us to transfer “raw” data to level(s) of information on which decisions can be based
and made (actionable intelligence): delivering situational awareness on a strategic, tactical and
operational level to empower timely and adequate insight and action perspective. In this project,
that started recently we are developing a prototype that holds these capabilities.