The EU-funded CREXDATA project plans to develop a platform for real-time critical situation management, including flexible action planning and agile decision-making. CREXDATA will produce the algorithmic apparatus, software architecture and tools for gathering federated predictive analytics and forecasting in the face of uncertainty. The proposed framework will facilitate proactive decision-making, by providing highly accurate and transparent short- and long-term forecasts, explainable via advanced visual analytics and accurate, real-time, augmented reality facilities.
Projects List
Projects
Team work is a fundamental part of our activity: we are the first Lab in Italy for EU projects proposals accepted. Here you'll find some of the european, national, industrial and internal projects of the KDD Lab. You can also browse our Projects Wall.
Type: European Project
Start Date: 1 January 2023
End Date: 31 December, 2025
Type: National Project
Start Date: 2 January 2023
End Date: 31 December, 2025
The FAIR – Future Artificial Intelligence Research Foundation is a non-profit foundation whose main purpose is to implement the interventions financed under the National Recovery and Resilience Plan (NRRP), and any subsequent funding, in the artificial intelligence field.
Type: European Project
Start Date: 1 January 2020
End Date: 31 December, 2024
SoBigData++ strives to deliver a distributed, Pan-European, multi-disciplinary research infrastructure for big social data analytics, coupled with the consolidation of a cross-disciplinary European research community, aimed at using social mining and big data to understand the complexity of our contemporary, globally-interconnected society. SoBigData++ is set to advance on such ambitious tasks thanks to SoBigData, the predecessor project that started this construction in 2015.
Type: European Project
Start Date: 1 January 2021
End Date: 31 December, 2024
The emergence of data science has raised a wide range of concerns regarding its compatibility with the law, creating the need for experts who combine a deep knowledge of both data science and legal matters. The EU-funded LeADS project will train early-stage researchers to become legality attentive data scientists (LeADS), the new interdisciplinary profession aiming to address the aforementioned need. These scientists will be experts in both data science and law, able to maintain innovative solutions within the realm of law and help expand the legal frontiers according to innovation needs.
Type: European Project
Start Date: 30 September 2019
End Date: 30 September, 2024
Black box AI systems for automated decision making, often based on machine learning over (big) data, map a user’s features into a class or a score without exposing the reasons why. This is problematic not only for lack of transparency, but also for possible biases inherited by the algorithms from human prejudices and collection artifacts hidden in the training data, which may lead to unfair or wrong decisions.
Type: European Project
Start Date: 1 February 2021
End Date: 31 January, 2024
The recent wave of machine-learning (ML) based Artificial-Intelligence (AI) technologies is having a huge societal and economic impact, with AI being (often silently) embedded in most of our everyday experiences (such as virtual assistants, tracking devices, social media, recommender systems). The research community (and society in general) has already realised that the current centralised approach to AI, whereby our personal data are centrally collected and processed through opaque ML systems (“black-boxes”), is not an acceptable and sustainable model in the long run.
NoBIAS - Artificial Intelligence without Bias
Type: European Project
Start Date: 1 January 2020
End Date: 31 December, 2023
Systems based on artificial intelligence (AI) are increasingly being used in applications automatically issuing decisions or assessments. They can impact individuals or groups of people with regard to important questions like payments or medical treatment but AI bias can be an issue. The sources of biases of AI decisions can be automatically derived data; algorithms processing data; or use of applications. To eliminate AI biases on all of three stages, the EU-funded NoBIAS project will develop fairness-aware algorithms.
Type: European Project
Start Date: 1 December 2019
End Date: 30 November, 2023
Migration represents a constantly rising social and political concern for many governments. As a result, a better understanding of the drivers and dynamics of migration is important to ensure effective and successful migration governance. The EU-funded HumMingBird project intends to study the origins of migration and their interrelation with the tendency of people to emigrate. In this effort, the role migration data play is instrumental. Data will provide key information concerning drivers, geography, incentives and instruments related to the migration movements.
Type: European Project
Start Date: 1 September 2020
End Date: 31 August, 2023
Maximising opportunities and minimising risks associated with artificial intelligence (AI) requires a focus on human-centred trustworthy AI. This can be achieved by collaborations between research excellence centres with a technical focus on combining expertise in theareas of learning, optimisation and reasoning. Currently, this work is carried out by an isolated scientific community where research groups are working individually or in smaller networks.
HumanE-AI-Net - HumanE AI Network
Type: European Project
Start Date: 1 September 2020
End Date: 31 August, 2023
The EU-funded HumanE-AI-Net project brings together leading European research centres, universities and industrial enterprises into a network of centres of excellence. Leading global artificial intelligence (AI) laboratories will collaborate with key players in areas, such as human-computer interaction, cognitive, social and complexity sciences. The project is looking forward to drive researchers out of their narrowly focused field and connect them with people exploring AI on a much wider scale.
Type: European Project
Start Date: 1 January 2019
End Date: 31 December, 2021
AI4EU is the European Union’s landmark Artificial Intelligence project, which seeks to develop a European AI ecosystem, bringing together the knowledge, algorithms, tools and resources available and making it a compelling solution for users. Involving 80 partners, covering 21 countries, the €20m project kicked off in January 2019 and will run for three years. AI4EU will unify Europe’s Artificial Intelligence community. It will facilitate collective work in AI research, innovation and business in Europe.
Type: European Project
Start Date: 1 May 2018
End Date: 30 April, 2021
PRO-RES project aims to produce a guidance framework regarding the delivery of Responsible Research and Innovation (RRI), which is required from researchers and research funding and performing organizations (RFPO), in order to balance political, institutional and professional contradictions and constraints.
This framework aims to:
• cover the spectrum of non-medical sciences and
• offer practical solutions for all stakeholders, that will comply with the highest standards of research ethics and integrity.
T&K - Track and Know
Type: European Project
Start Date: 1 January 2018
End Date: 31 December, 2020
Track&Know will research, develop and exploit a new software framework that aims at increasing the efficiency of Big Data applications in the transport, mobility, motor insurance and health sectors.
SBD@RT - SoBigData @ Regione Toscana
Type: Local Project
Start Date: 1 November 2019
End Date: 31 October, 2020
L’interesse nella Data Science e nei Big Data è in forte crescita perché le organizzazioni, le aziende e le
persone basano sempre di più le decisioni sulle evidenze che emergono dai dati. La grande disponibilità di
dati, combinata con tecniche sofisticate di analisi e infrastrutture scalabili di calcolo, sta cambiando
rapidamente il modo con cui si fa business, si socializza, si fa ricerca e si governa la società.
In questo contesto, ricco di opportunità ma anche di rischi, questo progetto si rivolge allo sviluppo di
HumanE AI - Toward AI Systems That Augment and Empower Humans by Understanding Us, our Society and the World Around Us
Type: European Project
Start Date: 1 March 2019
End Date: 30 April, 2020
The Humane AI Flagship will develop the scientific foundations and technological breakthroughs needed to shape the ongoing artificial intelligence (AI) revolution.
SoBigData.eu - SoBigData: Social Mining and Big Data Ecosystem
Type: European Project
Start Date: 15 June 2015
End Date: 31 December, 2019
One of the most pressing and fascinating challenges scientists face today, is understanding the complexity of our globally interconnected society. The big data arising from the digital breadcrumbs of human activities promise to let us scrutinize the ground truth of individual and collective behaviour at an unprecedented detail and scale. There is an urgent need to harness these opportunities for scientific advancement and for the social good.
CIMPLEX - Bringing Citizens, Models and Data together in Participatory, Interactive SociaL Exploratories
Type: European Project
Start Date: 1 January 2015
End Date: 31 December, 2017
We propose visionary research to develop modeling, computational, and ICT tools needed to predict and influence disease spread and other contagion phenomena in complex social systems. To achieve non-incremental advances we will combine large scale, realistic, data-driven models with participatory data-collection and advanced methods for Big Data analysis. In particular we will go beyond the one-dimensional focus of current approaches tackling one aspect of the problem at a time. We will interconnect contagion progression (e.g.
MineTheNet - MineTheNet
Type: Internal Project
Start Date: 1 January 2007
End Date: 31 December, 2017
.
SiemensPRA - Privacy Risk Assessment in Siemens
Type: Industrial Project
Start Date: 18 August 2017
End Date: 30 September, 2017
Nowadays we have an unprecedented opportunities of sensing, storing and analysing data describing human activities at extreme detail and resolution.
Unfortunately, personal data are sensitive, because they may allow re-identification of individuals in a de-identified database.
Type: European Project
Start Date: 1 February 2014
End Date: 31 January, 2017
The aim of this project is to develop a service platform that connects the providers and controllers of transport in cities with the travellers in a way that information flows are optimized while respecting and supporting the individual freedom safety and security of the traveller. Cities will get an integrated platform to enable the provision of citizen-centric, demand-adaptive city-wide transportation services. Travellers will get mobile applications that facilitate them in making travel priorities and choices for route and modality.
Type: Industrial Project
Start Date: 1 January 2015
End Date: 31 December, 2016
This project proposes a unified, open-source execution framework for scalable data analytics. Data analytics tools have become essential for harnessing the power of our era's data deluge. Current technologies are restrictive, as their efficacy is usually bound to a single data and compute model, often depending on proprietary systems. The main idea behind ASAP is that no single execution model is suitable for all types of tasks and no single data model (and store) is suitable for all types of data. The project makes the following innovative contributions:
LivLab - LivLab Livorno
Type: Local Project
Start Date: 8 April 2015
End Date: 31 December, 2016
LivLab is a living laboratory that aims at creating a participatory eco-system for setting-up experiments on a trusted user-centric platform, and based on personal mobility and purchasing data. Goals are: (i) Creating and managing a community of volunteers, (ii) Realizing services built on top of users’ data, and (iii) Increasing users’ awareness about their daily activities.
The living lab, created by Unicoop Tirreno, in partenership with CNR, Telecomitalia and FBK, started on April 2015 and involve Unicoop Tirreno's customers with a fidelity card.
Irpet - IRPET
Type: Internal Project
Start Date: 3 November 2015
End Date: 2 November, 2016
This project is the result of a scientific collaboration between KDD Lab and the Regional Institute for the Economic Planning in Tuscany (Istituto Regionale per la Programmazione Economica della Toscana – IRPET), for the realization of an informative system of the mobility in Tuscany through the use of big data.
In particular, it aims at providing models and tools for the analysis of the mobility at urban and regional level, by integrating Big Data of GPS and GSM sources with other more conventional data sources.
BDSE - Big Data For Smart Energy
Type: Industrial Project
Start Date: 1 July 2014
End Date: 31 December, 2015
The project has the objective of creating a framework to aggregate data collected by sensors deployed in a portion of a distribution grid. The system provides functionalities to model the topological properties of the distribution grid, to harmonize and integrate readings coming from the sensors, to store and query efficiently the data, to visualize with a clear interface the timeseries collected.
Type: European Project
Start Date: 1 September 2014
End Date: 31 December, 2015
EIT ICT Labs' Trusted Cloud initiative is an ambitious approach to find a European solution to store digital data and contents, so that consumers and businesses in Europe do not have to worry on where and by whom their valuable digital age assets are handled. With EIT ICT Labs support the partners will gain European wide coverage to create an ecosystem that really matters in creating new business opportunities around trusted cloud services.
Type: European Project
Start Date: 1 January 2012
End Date: 30 June, 2015
In industry, society and science advanced software is used for solving planning, scheduling and resource allocation problems, collectively known as constraint satisfaction or optimization problems. At the same time, one continuously gathers vast amounts of data about these problems. This project starts from the observation that current software typically does not exploit such data to update schedules, resources and plans. It aims at developing a new approach in which gathered data is analysed systematically in order to dynamically revise and adapt constraints and optimization criteria.
Type: Industrial Project
Start Date: 1 July 2014
End Date: 31 March, 2015
Mobility data are an important source of knowledge useful for understanding human behaviour and for developing a wide range of user services. Unfortunately, this kind of data is sensitive, because people's whereabouts may allow re-identification of individuals in a de-identified database. Therefore, Data Providers, before sharing those data, must apply any sort of anonymization to lower the privacy risks, but they must be aware and capable of controlling also the data quality, since these two factors are often a trade-off.
Persons&Places - Persons&Places
Type: Internal Project
Start Date: 1 January 2014
End Date: 31 December, 2014
The project aims at investigating to what extent ”big data” - Mobile calls data - in integration with administrative data, could be a support in producing reliable and timely
estimates of inter-city mobility.
This study, jointly developed by ISTAT, CNR, and University of Pisa, wants to experiment an analysis process built on top of the so-called Sociometer, a data mining tool for classifying users by means of their of their calls habits, in order to study the composition of the population and their mobility behaviors.
Type:
Start Date: 1 January 2014
End Date: 31 December, 2014
The aim of the project is to realize a novel service for Event Managers to sense their City Scale Events by fusing a variety of volatile and massive data available in digitized cities such as: mobile telecom data (GSM, GPRS, UMTS, and LTE); social media streams from multiple location-aware social networks (twitter, instagram, and foursquare); and pollution, traffic, public transport status data.
ORANGE - ORANGE Telecom Projects
Type: Industrial Project
Start Date: 1 August 2011
End Date: 31 December, 2014
This project includes several experiences we have done with Orange Telecom. The first was in the in 2010 with the objective of analysing GSM data by means of algorithms developed in our lab integrated in M-Atlas system. A second experience in 2012 lead to the developing of GSM-specific algorithms able to cope with the uncertainty of this kind of data and taking advantage from the representativeness of the population presence in the long period, the result was the correlation pattern algorithm.
Type: National Project
Start Date: 1 April 2009
End Date: 30 September, 2014
Mobility in urban areas poses serious problems to both the local administration and to who is having to move within the city either citizen or tourist. The situation becomes more complicated in those cities or areas where traffic produced by residents overlaps massive flows of tourists.
DataSIM - DataSIM
Type: European Project
Start Date: 1 October 2011
End Date: 1 September, 2014
DATASIM aims at providing an entirely new and highly detailed spatial-temporal microsimulation methodology for human mobility, grounded on massive amounts of Big data of various types and from various sources, e.g. GPS, mobile phones and social networking sites, with the goal to forecast the nation-wide consequences of a massive switch to electric vehicles, given the intertwined nature of mobility and power distribution networks.
Type: National Project
Start Date: 1 December 2010
End Date: 31 March, 2014
The greater presence and pervasiveness of ICT in everyday life poses new concerns about personal rights such as non-discrimination and individual privacy. Since these concerns limit the practical applicability and the broad acceptance of advanced technologies, such as decision support systems (DSS) and location-based services (LBS), the diffusion of these applications relies on the existence of technical tools to enforce personal rights. Developing these tools requires a constant reference to what is legal and what is not, in measurable and formal terms.
Type: European Project
Start Date: 30 November 2010
End Date: 31 October, 2013
As the scale of today’s networked techno-social systems continues to increase, the analysis of their global phenomena becomes increasingly difficult, due to the continuous production of streams of data scattered among distributed, possibly resource-constrained nodes, and requiring reliable resolution in (near) real-time.
Type: Local Project
Start Date: 1 September 2012
End Date: 1 August, 2013
The aim of the project is to study the touristic flows in Pisa thanks to the analysis and the integration of different types of data: GPS traces, GSM call, Flickr photos and social and demographical data.
Pisa Mobilità - Pisa Mobilità
Type: Local Project
Start Date: 1 April 2012
End Date: 30 June, 2013
The project aims at realizing a systematic study starting from the observation of mobility phenomena around the Municipality of Pisa and the five Municipalities that contribute to the Strategic Plan. The objective of the study is to supply a full view of the mobility demand inside the area, and thus give a support to the decision makers in compiling the Integrated Strategic Plan.
TETRis - TETRA Innovative Open Source
Type: National Project
Start Date: 1 November 2011
End Date: 15 May, 2013
The project aims at realizing a framework for the construction of innovative components able to exploit both the TETRA net and the corresponding commercial nets. The objective is to realize complex Smart Environments for the supply of advanced services and other typical utilities of the public administrations operating on the urban areas and on the territory.
Type: European Project
Start Date: 1 January 2012
End Date: 1 May, 2013
D4D - is an open data challenge, encouraging research teams around the world to use datasets of anonymous call patterns to help address society development questions in novel ways. The data sets are based on anonymized Call Detail Records extracted from Orange’s customer base. The goal of the D4D challenge, in line with our Group’s Orange for Development initiative, is to contribute to the socio-economic development and well-being of populations.
Type: National Project
Start Date: 1 January 2009
End Date: 31 December, 2010
ANONIMO is an inter-disciplinary project and is based on the observation that research in the area of privacy protection is currently pursued both from the legal regulation viewpoint and the information and communication technology viewpoint.
VisMaster - VisMaster
Type: European Project
Start Date: 1 August 2008
End Date: 31 July, 2010
VisMaster is a European Coordination Action Project focused on the research discipline of Visual Analytics: One of the most important challenges of the emerging Information Age is to effectively utilise the immense wealth of information and data acquired, computed and stored by modern information systems. On the one hand, the appropriate use of available information volumes offers large potential to realize technological progress and business success.
MiningForLife - MiningForLife
Type:
Start Date: 1 May 2009
End Date: 31 May, 2010
As part of this project KDDlab intends to explore and experiment data mining techniques applied specifically to data from medical records by S. Chiara and Umberto I of Rome hospitals. Such structured data will be the result of a number of techniques for automatic extraction from texts of reports and clinical history. On these data should be applied a number of data mining techniques, in particular the temporal aspect allows to establish correlations between diagnostic reports and/or interventions surgical and diagnosis and/or development of disease.
Type: Local Project
Start Date: 1 April 2009
End Date: 1 March, 2010
[i]Mobility Marketplace[/i] includes the development of models for analysis of data collected from mobile sensors and wireless networks and the testing of specific services, to promote the use of public transport and optimize the use of private vehicles in the path home-to-work.
The data are collected from the monitoring of cells visited in a GSM and GPS surveys. This information will be subject to various steps of analysis to extract individual profiles and global models on the habits of users.
Type: European Project
Start Date: 1 December 2005
End Date: 31 March, 2009
The technologies of mobile communications and ubiquitous computing pervade our society, and wireless networks sense the movement of people and vehicles, generating large volumes of mobility data. Miniaturization, wearability, pervasiveness is producing traces of our mobile activity, with increasing positioning accuracy and semantic richness: Location data from mobile phones: (GSM cell positions), GPS tracks from mobile devices receiving geo-positions from satellites, etc.
Type:
Start Date: 29 April 2008
End Date: 1 January, 2009
is an industrial R&D project funded by Unicoop, one of largest italian retail companies. KDDLab created a very large sales data warehouse, equipped with advanced BI solutions for strategic marketing and customer care based on data mining predictive analytics.
Type: Internal Project
Start Date: 1 June 2013
End Date:
Sports analytics have evolved in recent years in an amazing way, thanks to automated or semi-automated sensing technologies that provide high-fidelity data streams extracted from every game. In the lab we are investigating data-driven approaches to boost the understanding of sports performance, in two main context: cycling and football..
MBD - Master Big Data
Type: Internal Project
Start Date: 1 June 2014
End Date:
Today we have an unprecedented opportunity to observe and measure how our society intimately works, by analyzing the big data, i.e, the digital breadcrumbs of human activities sensed as a by-product of the ICT systems that we use everyday. Digital breadcrumbs record the real individual and collective human behaviors at great detail and resolution. Big Data are transforming the science and the business and are becoming the key resource – the new oil – of the next future.
DSPhD - Data Science Ph.D.
Type: Internal Project
Start Date: 1 November 2017
End Date:
Data Science is emerging as a disruptive consequence of the digital revolution. Based on the combination of big data availability, sophisticated data analysis techniques, and scalable computing infrastructures, Data Science is rapidly changing the way we do business, socialize, conduct research, and govern society. It is also changing the way scientific research is performed. Model-driven approaches are supplemented with data-driven approaches. A new paradigm emerged, where theories and models and the bottom up discovery of knowledge from data mutually support each other.
Type: Internal Project
Start Date: 1 January 2013
End Date:
An open research question is whether measurements made on Big Data recording human activities, such as mobile phone data, can yield us high-fidelity proxies of socio-economic development. Can we monitor and predict the socio-economic development of a territory just by
observing the behavior of its inhabitants? The goal of this project is design a data-driven analytical framework that uses mobility measures and social measures extracted from mobile phone data to estimate indicators for socio-economic development.
Type: Internal Project
Start Date: 1 January 2013
End Date:
The aim of this project is to observe, analyze, understand and possibly predict the patterns of human migration flows. This is a crucial topic in contexts like urban planning, disease spreading and energy consumption.