Innovation Ecosystem

Below are some of the industry contracts and collaborations made with private companies and other type of organizations, such as institutes and national research centers.

Collaboration protocol for the Dept. MSc courses

Accenture Company recently signed an agreement that will bring new opportunities of collaboration with LaSIGE. As coordinator of the Master in Bioinformatics and Computational Biology (MBBC), Francisco Couto reached an agreement with Accenture for awarding a prize in the value of the 1st year tuitions for the best candidate of the first phase of applications in that MSc course, and also for the Master in Informatics Engineering (MEI) and the Master in Informatics (MI). This will be the first initiative of that protocol starting already in the 2015/2016 academic year.

Collaboration in the study and development of novel cognitive stimulation technologic tools for people with dementia and their caregivers.

This collaboration is focused in the design, study and development of digital applications to support people with dementia, caregivers and clinical staff, and the relationships with them. The main goal is to translate and augment the current paper-based tools into digital counterparts that are accessible and usable. The team includes researchers from LaSIGE and psychologists and therapists from Alzheimer Portugal. The collaboration already included participation of LaSIGE researchers in Alzheimer Portugal initiatives (e.g., presentations and focus groups at Café Memória), interviews with Alzheimer Portugal professionals, and visits and contextual enquirires at Alzheimer Portugal carehomes. This consortium is seeking funding together to improve the digital tools around people with dementia.

Collaboration in the development of novel automated methods to improve infection control and antibiotic resistance

This collaboration has been established between LaSIGE members, BioISI members and Maxdata Healthcare solutions. The aim is to support a technology transfer environment whereby the expertise in semantic technologies, data analysis and epidemiology of the academic partners is combined with the market experience of Maxdata. The expected output is the development of novel automated methods to improve infection control and antibiotic resistance, to be made available in healthcare software suites. Other relevant collaborators are part of the effort, including Hospital de Santa Maria, Instituto Nacional de Saúde Dr. Ricardo Jorge and Direcção Geral de Saúde.

Smart electrical grid laboratory

The aim of this collaboration is the creation in LASIGE of a laboratory containing elements that are nowadays being deployed in the smart electrical grid that is currently being built in Portugal. This lab will support several activities, including the test and evaluation of more resilient communication solutions under a realistic environment.

Collaboration in the study and development of novel mobile and wearable interfaces for blind and visually impaired people

This long-lasting collaboration is developing and evaluating novel solutions to improve access to and through mobile devices to blind and visually impaired people. Particularly, the collaboration has focused in the development of systems and applications that enable blind people to use mobile and wearable devices. The main goal is to deploy interfaces that make mainstream devices accessible to this population. The collaboration leverages the technologic and human-centric backgrounds of LaSIGE researchers and professionals at the foundation (psychologists, technicians, therapists). This colalboration also grants access to a large pool of participants in the user studies, pivotal in human-computer interaction.

Spinoff from LaSIGE research

IT management of green parks irrigation system.

Design, creation, development, trade, installation and distribution of equipment for irrigation systems using information engineering / computer science.

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A Systems Medicine approach to improve diagnosis and prognosis in Autism Spectrum Disorders (ASD), based on extensive genomic, biochemical and clinical data

This collaboration is developing a Systems Medicine frameworkthat allows the integration of previously collected clinical, biochemical and genomic data for the definition of computational models that can improve medical care for ASD, in a 4P-Medicine (Predictive, Personalized, Preventive and Participatory) perspective. The main objective of this project is to identify disease signatures for Autism Spectrum Disorder (ASD), making effective use of the extensive clinical information and myriad genomic changes identified in large population samples, and to translate this knowledge into diagnostic tools.

Collaboration in the development of novel data mining techniques for electronic health records

This collaboration began in late 2014, and its aims are two-fold: (1) explore the potential knowledge contained in Europe's largest cancer registry and (2) support the development for novel semantic-based data mining techniques. The Cancer registry corresponds to the "South" region of Portugal, including Lisbon, Setúbal, Alentejo, Algarve and Madeira. We are currently actively seeking funding.

Collaboration in developing and implemening metaheuristics for combinatorial optimization in decision support systems design

Since 2004, LaSIGE and the Department of Forest Engineering (DEF/CEF) of ISA have collaborated in the developement of decision support tools and implementation of heuristic procedures for solving complex optimization projects in forest management and planning. From this collaboration several publications emerged and systems were developed that are used in private companies and forest associations in Portugal.

Collaboration in the development of novel automated methods to improve infection control and antibiotic resistance

This collaboration has been established between LaSIGE members, BioISI members and Maxdata Healthcare solutions. The aim is to support a technology transfer environment whereby the expertise in semantic technologies, data analysis and epidemiology of the academic partners is combined with the market experience of Maxdata. The expected output is the development of novel automated methods to improve infection control and antibiotic resistance, to be made available in healthcare software suites. Other relevant collaborators are part of the effort, including Hospital de Santa Maria, Instituto Nacional de Saúde Dr. Ricardo Jorge and Direcção Geral de Saúde.

Education and training in cyber-security and cyber-defense

The objective of this project is to design and implement a number of activities related to Education and Training (E&T) in the area of Cyber-security and Cyber-defense, with the aim of fulfilling the current needs of Portugal and eventually other Allied Nations (in the context of NATO). Among the various activities we participate, we are involved in the definition of a future international master degree in the area of Cyber-defense.

Collaboration in the study of cyber-security solutions for large-scale organizations

This collaboration has started in 2010 and aims at creating or improving solutions deployed by the cyber-security, privacy and business continuity department of PT Comunicações. Over the years, several projects have been undertaken, with the participation of LaSIGE members and students of the Informatics Department. Some examples, among others, include solutions for monitoring, analysis and detection of worm propagation, for detection, analysis and impact measurement of events with relevance for the quality of protection (QoP), for classification, agregation and analysis of identities and sensitive data accesses, or for the identification and classification of suspicious activities in sensitive databases.

Social Impact Identification of quotes to literary works in social networks

This collaboration is developing the framework Social Impact as an approach to match shared messages in social networks to the original literary works from a particular author. Two applications are also presented, regarding this framework: O Mundo em Pessoa to apply the framework to the context of poetry, Lusica, to the music context. For these two projects, the following was evaluated: the collection of information, precision and recall, execution time and public acceptance.

Annotating biomedical terms in electronic health records using crowd-sourcing

This collaboration is developing a crowd-sourcing method to improve the precision of extraction and normalization of biomedical terms. Although crowd-sourcing has been applied in other fields, it has not been applied yet to the annotation of health records. We expect this method to improve the precision of supervised machine learning classifiers, by letting the users fix the boundaries of the terms, as well as the respective ontology concept. We intend to apply this method to the recognition and normalization of disorder, drug, gene and protein names, in electronic health records.