Towards Smarter Environments bringing together Human and Machine Intelligence
Diego López-de-Ipiña
Diego Casado Mansilla
DeustoTech [1] is a private non-profit institution of the Faculty of Engineering at the University of Deusto for applied research in new technologies. Since 2005 DeustoTech mission is to support the ICT activity in business and society through research, the development of technologies, innovation and knowledge transfer. We focus our activity around TRLs 2-7 and articulate it into four applied fields: Industry, Mobility, Energy and Environment and Societal Challenges, having a fifth, the Chair of Applied Mathematics, as a transversal activity and support for the previous four. We are characterized for working with data of heterogeneous nature, throughout its life cycle and in compliance with ethical principles and humanists who define the University of Deusto.
In this project the Societal Challenges [2] groups is involved through the DEUSTEK Basque University System. Societal Challenges research unit has a strong background in humanizing, i.e. giving place to human-centric and human-driven, application of Data Science, IoT and Human Interaction technologies. That includes, sustainable awareness rising through IoT, empowering the citizen towards participating in the city daily decisions and governance, or engaging employees towards promoting healthy or sustainable habits in the workplace avoiding attrition of campaigns.
[1] http://deustotech.deusto.es/
[2] https://morelab.deusto.es/
The candidate would be integrated in a highly multidisciplinary research group. As such it is of utter importance the communication skills and their ability to understand the different perspectives that the research topic has. Moreover, experience in one or more of the following fields in needed:
• Crowdsourcing techniques – user-generated data verification and processing
• Cognitive technologies to transform unstructured data into structured information
• Recommender systems and conversational agents
• Gamification and persuasion for designing behaviour change interventions
• Knowledge modelling and exploitation
• Transparent and Interpretable AI
- Information Sciences and Engineering (ENG)
- Mathematics (MAT)
This position will explore the potential of smart solutions and environments grounded on the extensive usage of data and analytics through the collaboration of machines and humans. It faces the challenge of how to make sense out of data, progressing from data into knowledge, through the collaboration of people & machines. A Data Scientist is sought with expertise on Hybrid Intelligence (HI), which is an approach for combining human and machine intelligence for decision making and data interpretation. HI benefits from the human ability to express and deal with complexities and the automation, availability and accuracy that machines provide. The interception of the following areas to give place to Smart Environments will be explored:
• Machine Learning: ML methods can be used for activity recognition performed to detect what a user is doing, e.g. walking or resting. ML can also be used to correlate user actions into activities that configure behaviours.
• Human Computation: is about involving citizens to annotate the world or correct/validate inferences performed by machines, gamification can be used to improve and validate the results driven by machines.
• Knowledge modelling & exploitation: human and machine-driven knowledge can be effectively merged and represented in a Knowledge Graph (KG), combining data gathered from machine learning and human contributions. KGs are exploited to infer new knowledge or build recommenders through transparent and interpretable algorithms
EXCELLENCE OF THE HOST RESEARCH UNIT
1. Diego Casado-Mansilla, Ioannis Moschos, Oihane Kamara-Esteban, Apostolos C. Tsolakis, Cruz E. Borges, Stelios Krinidis, Ane Irizar-Arrieta, Konstantinos Kitsikoudis, Ander Pijoan, Dimitrios Tzovaras, Diego López-de-Ipiña. (2018) «A Human-centric & Context-aware IoT Framework for Enhancing Energy Efficiency in Buildings of Public Use» In IEEE Access. vol. 6. p. 31444-31456. DOI: 10.1109/ACCESS.2018.2837141. Q1: Impact factor 3.244 (2018)
2. Diego López-de-Ipiña, Liming Luke Chen, Nathalie Mitton, Gang Pan. (2017) «Ubiquitous Intelligence and computing for enabling a smarter world» In Personal and Ubiquitous Computing. p. 1-3. DOI: 10.1007/s00779-017-1015-3.
3. Unai Aguilera, Diego López-de-Ipiña, Jorge Pérez Velasco. (2016) «Collaboration-Centred Cities through Urban Apps Based on Open and User-Generated Data» In Sensors. vol. 16. p. 1022. DOI: 10.3390/s16071022
4. Diego Casado-Mansilla, López-de-Armentia, Juan, Ventura, Daniela, Garaizar, Pablo, López-de-Ipiña, Diego. (2015) «Embedding Intelligent Eco-aware Systems within Everyday Things to Increase People’s Energy Awareness» In Soft Computing Journal. Springer Berlin Heidelberg. vol. 20. p. 1695-1711. DOI: 10.1007/s00500-015-1751-0.
5. Unai Aguilera, Oscar Peña, Oscar Belmonte, Diego López-de-Ipiña. (2016) «Citizen-centric data services for smarter cities» In Future Generation Computer Systems. ISSN: 0167-739X. JCR Impact Factor (2017): 3.997, Q1(COMPUTER SCIENCE, THEORY & METHODS), ranked 10/104, (2017), http://dx.doi.org/10.1016/j.future.2016.10.031
1. H2020 – GREENSOUL (Persuasive Eco-awareness for User Engagement through Networked Data Devices). GA 696129. UDEUSTO is developing and testing a set of persuasion mechanism to reduce the energy consumption in public buildings.
2. H2020 – PARITY (Pro-sumer AwaRe, Transactive Markets for Valorization of Distributed flexibilITY enabled by Smart Energy Contracts) – GA 864319. UDEUSTO is developing a socioeconomic model of the barriers that hinder the participation on flexibility markets.
3. Basic Research – SentienThings (Towards augmented everyday objects that self-adapt and co-educate users to underpin their pro-environmental behaviour through persuasive technologies) – TIN2017-90042-R. UDEUSTO is developing several augmented objects connected to internet that will interact with their users in order to foster more sustainable behaviours.
4. Industrial project – FOODBAR (Eata, Cognitive and social intelligence for competitiveness of miniature food sector project). IBM Coorporation. UDEUSTO develop a cognitive app to recommend food based on the profile and tastes of the user.
5. H2020 – WeLive (A neW concept of pubLic administration based on citizen co-created mobile urban services). GA 645845. UDEUSTO was the Technical coordinator of this Project fostering the co-creation of open and user-generated data public services. INTERDISCIPLINARY COLLABORATION
• Knowledge modelling and enhancing
• Behaviour and persuasion theories
• Gamification & persuasive Technology
• Human and Machine Intelligence
• Transparent and Interpretable AI
The candidate will work on a highly interdisciplinary group where all the previous knowledge will be worked on. The candidate will collaborate with researchers of different background (UX experts, Big Data experts, engineers, experts in behaviour change, interface designers, Internet of Things, and social scientists) in order to achieve the objectives of the project. INTERNATIONAL COLLABORATION
The topic is a cross-sectional topic covered in several of the calls of the H2020. See for example:
• DT-TRANSFORMATIONS-02-2019
• DT-SPACE-EGNSS-2-2019
• ICT-13-2019-2019 INTERSECTORAL COLLABORATION
We traditionally work on these projects with public sector in projects involving piloting in cities and public buildings. We also work with innovative research centres and companies across Europe:
• Councils (Bilbao, Vitoria-Gasteiz)
• CERTH (Greece) & Foundazione Bruno Kessler (Italy)
• European companies, e.g. ENG (Italy) IMPACT
A better modelling, enhancement and understanding of knowledge is paramount to give place to smarter environments, where more intelligent processes and collaboration between people and environment can take place. AI by itself cannot give place to truly smart environments which please the demands and needs and users. Users may adapt their behaviour to optimize process, e.g. reduce energy consumption, but systems have to adapt, adequate to people profiles and preferences, to really regard them as “intelligent”. Smarter environments can be applied to have more energy efficient, more secure and healthy, more efficient working and living environments. Its applications are ample. INNOVATION
This research will serve as demonstrator of how hybrid intelligence can supply the deficiencies and social reservations of raw AI. Intelligent processes and services have to be designed for the people and taking into account people’s rights, needs and demands. This research work will pursue Transparent and Interpretable AI. INCLUSION
One of the University of Deusto’s key duties is to be fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. DeustoTech, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.
In this project this policy will be fully taken into account. In fact, profiles will be created in an inclusive way including factors like the gender, the socio-economic status, the functional diversity, the cultural background, etc. User models for every profile should have to be created and conclusions for every group should be made. Finally, a holistic assessment has to be made not only contrasting the results but also assessing interventions that works in an inclusive way.
1. Diego Casado-Mansilla, Ioannis Moschos, Oihane Kamara-Esteban, Apostolos C. Tsolakis, Cruz E. Borges, Stelios Krinidis, Ane Irizar-Arrieta, Konstantinos Kitsikoudis, Ander Pijoan, Dimitrios Tzovaras, Diego López-de-Ipiña. (2018) «A Human-centric & Context-aware IoT Framework for Enhancing Energy Efficiency in Buildings of Public Use» In IEEE Access. vol. 6. p. 31444-31456. DOI: 10.1109/ACCESS.2018.2837141. Q1: Impact factor 3.244 (2018)
2. Diego López-de-Ipiña, Liming Luke Chen, Nathalie Mitton, Gang Pan. (2017) «Ubiquitous Intelligence and computing for enabling a smarter world» In Personal and Ubiquitous Computing. p. 1-3. DOI: 10.1007/s00779-017-1015-3.
3. Unai Aguilera, Diego López-de-Ipiña, Jorge Pérez Velasco. (2016) «Collaboration-Centred Cities through Urban Apps Based on Open and User-Generated Data» In Sensors. vol. 16. p. 1022. DOI: 10.3390/s16071022
4. Diego Casado-Mansilla, López-de-Armentia, Juan, Ventura, Daniela, Garaizar, Pablo, López-de-Ipiña, Diego. (2015) «Embedding Intelligent Eco-aware Systems within Everyday Things to Increase People’s Energy Awareness» In Soft Computing Journal. Springer Berlin Heidelberg. vol. 20. p. 1695-1711. DOI: 10.1007/s00500-015-1751-0.
5. Unai Aguilera, Oscar Peña, Oscar Belmonte, Diego López-de-Ipiña. (2016) «Citizen-centric data services for smarter cities» In Future Generation Computer Systems. ISSN: 0167-739X. JCR Impact Factor (2017): 3.997, Q1(COMPUTER SCIENCE, THEORY & METHODS), ranked 10/104, (2017), http://dx.doi.org/10.1016/j.future.2016.10.031
1. H2020 – GREENSOUL (Persuasive Eco-awareness for User Engagement through Networked Data Devices). GA 696129. UDEUSTO is developing and testing a set of persuasion mechanism to reduce the energy consumption in public buildings.
2. H2020 – PARITY (Pro-sumer AwaRe, Transactive Markets for Valorization of Distributed flexibilITY enabled by Smart Energy Contracts) – GA 864319. UDEUSTO is developing a socioeconomic model of the barriers that hinder the participation on flexibility markets.
3. Basic Research – SentienThings (Towards augmented everyday objects that self-adapt and co-educate users to underpin their pro-environmental behaviour through persuasive technologies) – TIN2017-90042-R. UDEUSTO is developing several augmented objects connected to internet that will interact with their users in order to foster more sustainable behaviours.
4. Industrial project – FOODBAR (Eata, Cognitive and social intelligence for competitiveness of miniature food sector project). IBM Coorporation. UDEUSTO develop a cognitive app to recommend food based on the profile and tastes of the user.
5. H2020 – WeLive (A neW concept of pubLic administration based on citizen co-created mobile urban services). GA 645845. UDEUSTO was the Technical coordinator of this Project fostering the co-creation of open and user-generated data public services.
• Knowledge modelling and enhancing
• Behaviour and persuasion theories
• Gamification & persuasive Technology
• Human and Machine Intelligence
• Transparent and Interpretable AI
The candidate will work on a highly interdisciplinary group where all the previous knowledge will be worked on. The candidate will collaborate with researchers of different background (UX experts, Big Data experts, engineers, experts in behaviour change, interface designers, Internet of Things, and social scientists) in order to achieve the objectives of the project.
INTERNATIONAL COLLABORATION
The topic is a cross-sectional topic covered in several of the calls of the H2020. See for example:
• DT-TRANSFORMATIONS-02-2019
• DT-SPACE-EGNSS-2-2019
• ICT-13-2019-2019 INTERSECTORAL COLLABORATION
We traditionally work on these projects with public sector in projects involving piloting in cities and public buildings. We also work with innovative research centres and companies across Europe:
• Councils (Bilbao, Vitoria-Gasteiz)
• CERTH (Greece) & Foundazione Bruno Kessler (Italy)
• European companies, e.g. ENG (Italy) IMPACT
A better modelling, enhancement and understanding of knowledge is paramount to give place to smarter environments, where more intelligent processes and collaboration between people and environment can take place. AI by itself cannot give place to truly smart environments which please the demands and needs and users. Users may adapt their behaviour to optimize process, e.g. reduce energy consumption, but systems have to adapt, adequate to people profiles and preferences, to really regard them as “intelligent”. Smarter environments can be applied to have more energy efficient, more secure and healthy, more efficient working and living environments. Its applications are ample. INNOVATION
This research will serve as demonstrator of how hybrid intelligence can supply the deficiencies and social reservations of raw AI. Intelligent processes and services have to be designed for the people and taking into account people’s rights, needs and demands. This research work will pursue Transparent and Interpretable AI. INCLUSION
One of the University of Deusto’s key duties is to be fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. DeustoTech, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.
In this project this policy will be fully taken into account. In fact, profiles will be created in an inclusive way including factors like the gender, the socio-economic status, the functional diversity, the cultural background, etc. User models for every profile should have to be created and conclusions for every group should be made. Finally, a holistic assessment has to be made not only contrasting the results but also assessing interventions that works in an inclusive way.
The topic is a cross-sectional topic covered in several of the calls of the H2020. See for example:
• DT-TRANSFORMATIONS-02-2019
• DT-SPACE-EGNSS-2-2019
• ICT-13-2019-2019
We traditionally work on these projects with public sector in projects involving piloting in cities and public buildings. We also work with innovative research centres and companies across Europe:
• Councils (Bilbao, Vitoria-Gasteiz)
• CERTH (Greece) & Foundazione Bruno Kessler (Italy)
• European companies, e.g. ENG (Italy)
IMPACT
A better modelling, enhancement and understanding of knowledge is paramount to give place to smarter environments, where more intelligent processes and collaboration between people and environment can take place. AI by itself cannot give place to truly smart environments which please the demands and needs and users. Users may adapt their behaviour to optimize process, e.g. reduce energy consumption, but systems have to adapt, adequate to people profiles and preferences, to really regard them as “intelligent”. Smarter environments can be applied to have more energy efficient, more secure and healthy, more efficient working and living environments. Its applications are ample. INNOVATION
This research will serve as demonstrator of how hybrid intelligence can supply the deficiencies and social reservations of raw AI. Intelligent processes and services have to be designed for the people and taking into account people’s rights, needs and demands. This research work will pursue Transparent and Interpretable AI. INCLUSION
One of the University of Deusto’s key duties is to be fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. DeustoTech, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.
In this project this policy will be fully taken into account. In fact, profiles will be created in an inclusive way including factors like the gender, the socio-economic status, the functional diversity, the cultural background, etc. User models for every profile should have to be created and conclusions for every group should be made. Finally, a holistic assessment has to be made not only contrasting the results but also assessing interventions that works in an inclusive way.
A better modelling, enhancement and understanding of knowledge is paramount to give place to smarter environments, where more intelligent processes and collaboration between people and environment can take place. AI by itself cannot give place to truly smart environments which please the demands and needs and users. Users may adapt their behaviour to optimize process, e.g. reduce energy consumption, but systems have to adapt, adequate to people profiles and preferences, to really regard them as “intelligent”. Smarter environments can be applied to have more energy efficient, more secure and healthy, more efficient working and living environments. Its applications are ample.
This research will serve as demonstrator of how hybrid intelligence can supply the deficiencies and social reservations of raw AI. Intelligent processes and services have to be designed for the people and taking into account people’s rights, needs and demands. This research work will pursue Transparent and Interpretable AI.
INCLUSION
One of the University of Deusto’s key duties is to be fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. DeustoTech, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.
In this project this policy will be fully taken into account. In fact, profiles will be created in an inclusive way including factors like the gender, the socio-economic status, the functional diversity, the cultural background, etc. User models for every profile should have to be created and conclusions for every group should be made. Finally, a holistic assessment has to be made not only contrasting the results but also assessing interventions that works in an inclusive way.
One of the University of Deusto’s key duties is to be fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. DeustoTech, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.
In this project this policy will be fully taken into account. In fact, profiles will be created in an inclusive way including factors like the gender, the socio-economic status, the functional diversity, the cultural background, etc. User models for every profile should have to be created and conclusions for every group should be made. Finally, a holistic assessment has to be made not only contrasting the results but also assessing interventions that works in an inclusive way.