1. Présentation EPFL-Public | 2014 1 Ecole Polytechnique Fédérale de Lausanne EPFL

2. Présentation EPFL-Public | 2014 2 LSIR Projects Goal: Develop a participatory platform towards the conceptualization of scientific knowledge and its large scale analysis. Achievements:  Developed a web-based system already used by many scientists for semantically importing, storing and searching scientific data.  Obtained a crowdsourced ontology with over 15K concepts for physics and life science Motivation:  The volume of research information outgrows our individual capacity to process it  Publications and knowledge are scattered across different sources  Scientific achievements rely on multiple disciplines http://sciencewise.info ScienceWise – JRA1 A web-based scientific platform to boost research

3. Présentation EPFL-Public | 2014 3 LSIR Projects CloudSpaces –JRA5 Open Service Platform for the Next Generation of Personal Clouds  Easily usable privacy enhancing tools for end-users.  Also allow users to transparently access data stored at multiple cloud services  Allow small datacenters to share their resources to meet user demand  For privacy, we have proposed a novel framework that relies not just on content but also the context or semantics of data sharing  We base our framework on psychologically grounded models in order to determine privacy preferences  We use Crowdsourcing for determining sensitivity of sharing operations  Our software provides policy recommendations to users in order to share their files safely on any cloud platform http://cloudspaces.eu

4. Présentation EPFL-Public | 2014 4 LSIR Projects Motivation:  Internet has become the primary source of information  Misleading, questionable and factually incorrect Web pages  Serious consequences for decision-making in critical domains Achievements:  Novel Web credibility evaluation mechanisms by leveraging crowdsourcing, big data analytics, machine learning, etc.  Game theoretic models for robust credibility evaluation.  A unique large-scale credibility corpus  Web credibility evaluation prototype system (http://www.reconcile.pl/) Use cases:  Credible Web search  Online medical information credibility evaluation  Credibility control in an open shared knowledge base (http://sciencewise.info) Goal: Creation of new mechanisms for supporting users in the evaluation of Web content credibility. Machine learning based credibility assessment Snapshot of Reconcile credibility evaluation system prototype http://reconcile.pjwstk.edu.pl/ Reconcile – JRA5 Robust Online Credibility Evaluation of Web Content

5. Présentation EPFL-Public | 2014 5 LSIR Projects  Providing incentives to consumers to alter their behaviour and ensure energy balance  Observing energy consumption data to infer patterns and measure the influence of DR on energy consumption Approach:  Energy consumption disaggregation, prediction and segmentation using statistical machine learning methods  Game-theoretic, economic and behavioural models of energy consumers  Field trials with residential and commercial consumers Results:  Design guidelines for effective incentives to change energy consumption patterns  Tools and algorithms for energy data analytics http://wattalyst.org Wattalyst –JRA8 Modelling and Analysing Demand Response (DR) Systems