DELix is aimed to professionals interested in deepening their knowledge in the fields of data science and engineering.

If knowledge is power, then sharing and enhancing knowledge and information are an order of magnitude more powerful. The 3rd Platform and Innovation Accelerators are impelling all organizations to face the challenge of digital transformation. Information is at the core of the new digital ecosystem.

In this context, organizations will need to treat data and information as they would any existing asset, invest in a range of technology and people to distill insight into value, and invest in the establishment of organizational competencies focused on leveraging data.

The general focus of DELix is on all information transformation cycle, providing an updated view of the state of the art of technology relevant for of data science and engineering, and advanced analytics.

DELix 2019 will focus on BPM (business process management) and process mining. Past issues were focused on data privacy and security (DELix 2018) and data stream (DELix 2017)

DELix sessions are assured by reputed professors and researchers, but the approach to the subjects will cover from introductory to “middle level”. This makes DELix specially relevant for middle managers and technical professionals pursuing an update on data science and engineering!

DELix is organised by Técnico, INESC-ID and IDC Portugal.


  13th February 14th February 15th February
09:00 Opening – Arlindo Oliveira (IST President), José Borbinha (INESC-ID, IST/UL), Gabriel Coimbra (IDC)

IDC Maturity Model – Gabriel Coimbra (IDC)

Systems Sciences: From Optimization to Contracting in Digital Economy – Luis Valadares Tavares (IST/UL) Real-Time Data Mining – João Gama (University of Porto, INESC-TEC)
10:30 break
11:00 Process Mining – José Borbinha (INESC-ID, IST/UL)

Adaptive Workflow – Rito Silva (INESC-ID, IST/UL)

Enterprise Cartography – Pedro Sousa (INESC-ID, IST/UL)

Process Compliance and Maturity Assessment – Diogo Proença (INESC-ID)

Challenges of IoT and Cyber-physical systems – Alberto Cunha (IST/UL)

Stream Processing with Apache Flink – Miguel Coimbra (INESC-ID)

12:30 lunch (included in registration)
13:30 Data Science Fundamentals – Cláudia Antunes (IST/UL)

Entity Recognition – Miguel Won (INESC-ID)

Mining Event Data – Rui Henriques (INESC-ID, IST/UL)

Data Cleaning
 – Luís Cruz (INESC-ID)
An Introduction to Network Science – Francisco Santos (INESC-ID, IST/UL)

Graph Analysis and Mining
 – Alexandre Francisco (INESC-ID, IST/UL)
15:00 break
15:30 Business Intelligence and Analytics – Elsa Cardoso (ISCTE-IUL, INESC-ID)

Data Visualization
 – Daniel Gonçalves (INESC-ID, IST/UL)
Technology and Tool Demonstrations

LEGO Serious Play® – creative thinking through team building (exercise) – Bruno Horta Soares (NOVA IMS, IDC)

Open Panel – 
José Tribolet(INESC-ID, IST/UL), José Borbinha (INESC-ID, IST/UL), Gabriel Coimbra (IDC)
Closing Session
20:00 social dinner (included in registration)
Arlindo Oliveira is a professor of the Department of Computer Science and Engineering of Instituto Superior Técnico (IST), and a researcher of the IDSS Laboratory of the INESC-ID. He is presently the President of IST and member of its executive board. His major areas of interest are Algorithms and Complexity, Machine Learning, Bioinformatics and Digital Circuit Design. He recently published the book “The Digital Mind: How Science is Redefining Humanity“.

José Borbinha is professor of the Department of Computer Science and Engineering of Instituto Superior Técnico (IST), and coordinator of the IDSS Laboratory of the INESC-ID. His research interests are in conceptual modeling, requirements engineering, enterprise architecture and information management. He is the project manager of the ISO/TC 46/SC 11/WG 15 on Records Requirements in Enterprise Architecture, and is member of the coordination team of the of the eArchiving Building Block of the European CEF program. He was the CIO of the National Library of Portugal from 1998 to 2005.

Process Mining

This talk will introduce the fundamental concepts of process mining, namely what is an event log and how to analyze an event log in order to discover:

  • the sequence of tasks;
  • the interactions and collaborations between users;
  • the average time that is spent on performing each task;
  • etc.

With more than 20 years’ experience in ICT, Gabriel Coimbra is IDC’s country manager for Portugal. In addition to his management duties, Coimbra is personally involved in planning and coordinating IDC’s market intelligence and advisory services in Portugal. Gabriel has a master’s degree in statistics and information management from NOVA Information Management School, and a postgraduate degree in advanced management from the Católica Lisbon School of Business & Economics.

Luís Valadares Tavares is a professor emeritus of Systems and Management of the University of Lisbon (IST – Instituto Superior Técnico), President of OPET – Portuguese Observatory of Technology Foresight, President of APMEP – Portuguese Society of Portuguese Markets, Chairman of the European Conferences on E-Public Procurement, Non-Executive Member of the Board of Martifer.

Systems Sciences: From Optimization to Contracting in Digital Economy

João Gama is Associate Professor of the Faculty of Economy, University of Porto and researcher and vice-director of the INESC TEC research group LIAAD. He has researched on Incremental and Adaptive learning systems, Ubiquitous Knowledge Discovery, Learning from Massive, and Structured Data, etc. He is author of several books in Data Mining and authored a monograph on Knowledge Discovery from Data Streams.

Data Mining

Nowadays, there are applications where data is best modelled not as persistent tables, but rather as transient data streams. This keynote discusses:

  • The limitations of current machine learning and data mining algorithms;
  • The fundamental issues in learning in dynamic environments like learning decision models that evolve over time, learning and forgetting, concept drift and change detection.

Data streams are characterized by huge amounts of data that introduce new constraints in the design of learning algorithms: limited computational resources in terms of memory, processing time and CPU power. This talk will present some illustrative algorithms designed to taking these constrains into account. We identify the main issues and current challenges that emerge in learning from data streams, and present open research lines for further developments.

António Rito is a professor of the Department of Computer Science and Engineering of Instituto Superior Técnico (IST), and researcher at INESC-ID, in the Software Engineering group, where he promotes activity on Social Software Engineering research, focusing on the interaction between people and software.

Adaptive Workflow

Pedro Sousa is professor of the Department of Computer Science and Engineering of Instituto Superior Técnico (IST), and a researcher at INESC-ID, in the IDSS laboratory.

Enterprise Cartography

Diogo Proença is a Post-Doctoral researcher at INESC-ID, in the IDSS laboratory, and lecturer at the Department of Computer Science and Engineering of Instituto Superior Técnico (IST). He is currently working in research projects in information retrieval and in technology transfer in long-term information assurance (this one in the scope of the eArchiving Building Block of the European CEF program).

Process Compliance and Maturity Assessment

This lecture will provide the fundamental concepts on process compliance and maturity models, and will show how this technique can be used to support process compliance. The lecture will make reference to the main standards in industry and the state of the art in research.

Alberto Cunha is a professor of the Department of Computer Science and Engineering of Instituto Superior Técnico (IST).

IoT Challenges

Electronics and sensor technologies enable mobile and personal devices and equipment (smartphones, smart cards and tags) with considerable computing and communication power, and will enrich our surrounding environment with sensory and reactive capabilities. The orchestration of all this potential, integrating Internet-based as well as specialized heterogeneous sub-systems, is the foundation of cyber-physical systems able to adapt in time to the context of use. In this lesson we will address:

  • the architecture of intelligent sensors and embedded systems, its processing and communications constraints;
  • the basic models for local cyber-physical interaction;
  • models for data integration from sensor to IT infrastructure.

Finally we will analyze some cases of application of these technologies to monitor human activities and services.

Miguel Coimbra is currently a PhD student at Instituto Superior Técnico, hosted as a researcher at INESC-ID. Miguel is currently researching distributed graph processing, in the scope and with the support of the Distributed Systems Group (GSD) and the Decision Support Systems (IDSS) laboratory of the INESC-ID.

Apache Flink (demo)

This talk will introduce and detail the architecture and internal mechanisms of Apache Flink that make it a suitable basis for easily developing stream processing-based applications. Quoting from https://flink.apache.org/: “Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams.”

Cláudia Antunes is a professor of the Department of Computer Science and Engineering of Instituto Superior Técnico (IST). She has been working on algorithms and methodologies for pattern mining, from transactional to structured data. Her main interests are centered on mining complex knowledge from complex data, with emphasis on the incorporation of background knowledge in the data mining process. Her work has been around the usage of domain ontologies to represent that knowledge, and she has been working on methods to efficiently mine patterns, guided by that knowledge.

Data Science Fundamentals

Miguel Won is a Post-Doctoral researcher at INESC-ID, in the IDSS laboratory. He is currently working in the domain of Natural Language Processing (NLP) applied to Political and Communication Sciences.

Named Entity Recognition in Text-as-data (demo)

Within the context of text-as-data paradigm, new type of analysis and metrics are today available to the political science research, allowing new and different approaches that previously were virtually impossible. In this short talk Miguel will show how text processing, in particular named entity recognition and key-phrase extraction tools, can help and guide political scientists in their research questions.

Rui Henriques is professor of the Department of Computer Science and Engineering of Instituto Superior Técnico (IST), and a researcher at INESC-ID, in the IDSS laboratory. He was AI and Data Science team leader at Tekever, and a Post-Doctoral Researcher at Kyushu University.

Mining Event Data

Luis Cruz is currently a Ph.D. Student at the University of Porto, hosted as a researcher of the Information and Decision Support Systems Lab at INESC-ID. He is also a member of the Green Software Lab. His research interests are mainly Green Software, Mobile Development, Machine Learning and Living Analytics. He has been involved in data science projects with companies such as PARC, a Xerox company, and Procter & Gamble.Luis is currently applying data science principles and techniques in his Ph.D. to improve mobile development processes concerning energy consumption of smartphone applications.

Data Cleaning

Clean your data if you care about its quality. Data wrangling is crucial to ensure that data is appropriate and ready to be used for analytic purposes. Often raw data comes with a myriad of different types of errors and inconsistencies. Thus, data transformations have to be performed before we can extract meaningful knowledge from our data. Raw data has to be transformed until we reach a criteria of data quality. This is why data wrangling comes with a distinct but no less important task: data quality assessment. In this lesson, we will first introduce the notion of data quality as an activity that encompasses two main tasks:

  1. data quality assessment; and
  2. data wrangling.

Second, we will explain the notion of data profiling which enables to assess the quality of a data set. Third, we will describe one of the main tasks of a data cleaning process that consists on the identification and consolidation of records that concern the same real world entity, also called approximate duplicate records. Finally, we will list some of the main data quality tools.

Francisco Santos is a professor of the Department of Computer Science and Engineering of Instituto Superior Técnico (IST) and researcher at the Group on Artificial Intelligence for People and Society (GAIPS) of the INESC-ID. He is interested in applying and developing modelling tools to understand collective dynamics in social and life sciences. He has been working on problems related to the evolution of cooperation, human social norms, network science, and environmental governance, among others. Francisco was distinguished with the 2017 Young Scientist Award for Socio- and Econophysics of the German Physical Society.

An Introduction to Network Science 

Alexandre Francisco is a professor of the Department of Computer Science and Engineering of Instituto Superior Técnico (IST), and a researcher and co-coordinator of the IDSS Laboratory of the INESC-ID. He is interested in algorithm engineering and computational science, and has been involved in several projects on computational biology, bioinformatics, graph mining, data and network analysis.

Graph Analysis and Mining

Elsa Cardoso is Assistant Professor at Instituto Universitário de Lisboa (ISCTE-IUL), in the Information Sciences and Technologies Department of the School of Technology and Architecture, and a researcher of the IDSS Laboratory of the INESC-ID. She is the Director of the Master in Integrated Business Intelligence Systems at the same university and the leader of the Business Intelligence Task Force of EUNIS (European University Information Systems organization). She is also a researcher at the IIDSS Group of INESC-ID. Elsa has a PhD in Information Sciences and Technologies from ISCTE-IUL, with a specialization in Business Intelligence. Her research interests include business intelligence and data warehouse, data visualization, and strategic information systems (balanced scorecard) applied to Higher Education, Healthcare and Digital Humanities.

Business Intelligence and Analytics

Daniel Gonçalves is a professor of the Department of Computer Science and Engineering of Instituto Superior Técnico (IST),and a researcher at the Visualization and Multimodal Interfaces Group of INESC-ID. His research encompasses the areas of Information Visualization, Personal Information Management and Accessibility. He has published over 160 peer-reviewed papers publications in those areas, as well as being the co-author of a textbook on Human-Computer Interaction.

Data Visualization

One of the most effective ways to make sense of a dataset is to leverage our ability to visually identify interesting items patterns, by using Information Visualization (InfoVis) techniques. In this lesson we will focus on how Information Visualization can be effectively used to make sense of, for example, time-dependent data (such as streams). We will cover the following topics:

  • Introduction to InfoVis
  • Basic Perceptual Principles
  • Representing Time-Dependent data
  • Dealing with complexity

Bruno Horta Soares is IT Executive Senior Advisor at IDC Portugal, for Digital Transformation, Governance, Strategy and Security. He has a 5 years degree in Management and Computer Science, from ISCTE and a post-degree in Project Management, from ISLA Campus Lisboa. He is certified in Project Management Professional (PMP), from PMI, Certified Information Systems Auditor (CISA), Certified in the Governance of Enterprise IT (CGEIT) and Certified in Risk and Information Systems Control (CRISC) and COBIT 5 Foundation from ISACA, ITIL® version 3 Foundation and ISO/IEC 27001 LA . He’s also APMG individual accredited trainer for COBIT 5. He is the founding President of the ISACA Lisbon Chapter, member of several professional associations in the areas of Auditing (IIA), IT Governance (ISACA, IPCG), and Project Management (PMI) and keynote speaker at various conferences and seminars.

José Tribolet is a professor of the Department of Computer Science and Engineering of Instituto Superior Técnico (IST), and a researcher of the IDSS Laboratory of the INESC-ID. He co-founded in 1980 the INESC – Institute for Systems and Computer Engineering, the first not-for-profit, non-state-owned contract based research organization of Portugal, which he presides ever since. His research interests are in the fields of organizational modeling, business process engineering and information systems architecture.

13-15 February 2019 – DELix 2019 Winter School !!!






Edições Anteriores:



Data: 13 a 15 de Fevereiro 2019

Horário: 9h-18h

Local: Instituto Superior Técnico, Lisboa


Rafaela Mendes Ferreira

E-mail: rmendes@idc.com

Tel: (+351) 936 951 565

Perguntas Frequentes


Este programa tem acesso a Certificação?