[rede.APPIA] EPIA-2019 – Deadline Extension: April 30, 2019 (Reminder 2)

 

 

 

 

 

 

 

 

 

Due to numerous requests we announce that the deadline for paper submission is extended to 30th of April. Please note that there will not be no extension after this deadline.

 

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CALL FOR PAPERS
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EPIA 2019
19th EPIA Conference on Artificial Intelligence
http://www.epia2019.utad.pt/index.php/call-for-papers
September 3-6, 2019
Vila Real – Portugal
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The EPIA Conference on Artificial Intelligence is a well-established European conference in the field of AI. The 19th edition, EPIA 2019, will take place at UTAD University, Vila Real in September 3rd-6th, 2019. As in previous editions, this international conference is hosted with the patronage of the Portuguese Association for Artificial Intelligence (APPIA). The purpose of this conference is to promote research in all Artificial Intelligence (AI) areas, covering both theoretical/foundational issues and applications, as well as the scientific exchange among researchers, engineers and practitioners in related disciplines.
 

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Thematic Tracks
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EPIA 2019 will feature the following thematic tracks covering a wide spectrum of AI topics:

AIEd – Artificial Intelligence in Education
AI4G – Artificial Intelligence for Games
AIoTA – Artificial Intelligence and IoT in Agriculture
AIL – Artificial Intelligence and Law
AIM – Artificial Intelligence in Medicine
AICPDES – Artificial Intelligence in Cyber-Physical and Distributed Embedded Systems
AIPES – Artificial Intelligence in Power and Energy Systems
AITS – Artificial Intelligence in Transportation Systems
ALEA – Artificial Life and Evolutionary Algorithms
AmIA – Ambient Intelligence and Affective Environments
BAAI – Business Applications of Artificial Intelligence
GAI- General AI
IROBOT – Intelligent Robotics
KDBI – Knowledge Discovery and Business Intelligence
KRR – Knowledge Representation and Reasoning
MASTA – Multi-Agent Systems: Theory and Applications
SDIA – Doctoral Symposium on Artificial Intelligence
SSM – Social Simulation and Modelling
TeMA – Text Mining and Applications
 

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Submission and Reviewing
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All papers should be submitted in PDF format through the EPIA 2019 EasyChair submission page. Prospective authors should select the thematic track to which their paper is to be submitted. The papers should be prepared according to the Springer LNCS format, with a maximum of 12 pages. Some thematic tracks (see each track specific page) may accept short papers (max 6 pages). Submitted papers will be subject to a double-blind review process, and will be peer-reviewed by at least three members of the respective track Program Committee. It is the responsibility of the authors to remove names and affiliations from the submitted papers, and to take reasonable care to assure anonymity during the review process.
 

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Proceedings and Presentations
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Accepted papers will be included in the conference proceedings (a volume of Springer’s LNAI-Lecture Notes in Artificial Intelligence), provided that at least one author is registered in EPIA 2019 by the early registration deadline. EPIA 2019 proceedings are indexed in Thomson Reuters ISI Web of Science, Scopus, DBLP and Google Scholar.

Each accepted paper must be presented by one of the authors in a track session.
 

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Awards
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The conference will grant the following award:
* Best Paper Award, for the best research paper presented at the conference sponsored by Springer

Only papers that have been submitted to a thematic track and presented at the conference will be eligible for this award.
 

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Important Dates
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Paper submission deadline: April 30, 2019
Paper acceptance notification: May 31, 2019
Camera-ready deadline: June 15, 2019
Conference: September 3-6, 2019
 

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EPIA 2019 Committees
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Event and Program Chairs:
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Paulo Moura Oliveira, INESC-TEC, UTAD, Portugal
Paulo Novais, ALGORITMI, UMinho, Portugal
Luís Paulo Reis, LIACC, UPorto, Portugal
 

International Steering Committee:
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Amedeo Cesta, CNR-ISTC, Italy
Ana Bazzan, Universidade Federal do Rio Grande do Sul, Brazil
Ana Paiva, Instituto Superior Técnico, Portugal
Ernesto Costa, Universidade de Coimbra, Portugal
Eugénio Oliveira, Universidade do Porto, Portugal
François Pachet, Spotify, France
Hélder Coelho, Universidade de Lisboa, Portugal
José Júlio Alferes, Universidade Nova de Lisboa, Portugal
Juan Pavón, Universidad Complutense Madrid, Spain
Luís Paulo Reis, Universidade do Porto, Portugal
Marco Dorigo, Université Libre de Bruxelles, Belgium
Paulo Novais, Universidade do Minho, Portugal
Pavel Brazdil, Universidade do Porto, Portugal
Peter McBurney, King’s College London, UK
Ulrich Furbach, University of Koblenz, Germany
 

Organization Chairs:
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Eduardo Solteiro Pires, INESC-TEC, UTAD, Portugal
José Boaventura Cunha, INESC-TEC, UTAD, Portugal
Paulo Jorge Matos, IPB, Portugal

[rede.APPIA] DEADLINE EXTENDED – CFP -Artificial Intelligence for Games (AI4G’19) Track of EPIA’19

===> DEADLINE EXTENDED – 30th APRIL

*********** CALL FOR PAPERS ***********

Artificial Intelligence for Games (AI4G’19) Track of EPIA’19

AI4G 2019 will be held at the 18th Portuguese Conference on
Artificial Intelligence (EPIA 2019) taking place at Vila Real,Portugal, from

3rd to 6th September, 2019.  The call for papers of EPIA’19 and all information
about other tracks can be found at the EPIA URL:

Playing games has been considered a relevant task for AI research since
the very inception of the field. Some of the AI accomplishments have been
based on solving Games like Checkers, Chess and Go. Often, competitions
based on games are organized to foster the research on AI and define
frameworks for comparison of work. One example is the General Game Playing
that challenges AI players to play and win games they do not know beforehand.
Games can also be the base of research on computational creativity. The procedural
design of new levels for games or the design of complete games with novel gameplay
has been an interesting challenge. The generation of game content has been
addressed in the sense of story creation and interactive storytelling as well, which is
one of the very promising fields of research on AI for games, and one that attracts the
interest of the game development industry. Finally, the social nature of games, and in
particular of videogames, present good scenarios for exploring the social skills of AI
agents, in particular by interacting with humans. This thematic track brings together leading researchers to discuss recent advances and explore future directions in the applied field of
Artificial Intelligence for Games.

– TOPICS OF INTEREST

    Decision Making
    Learning in games
    Search-based approaches for games
    Neural-based approaches for games
    Player/Opponent modeling
    AI based game design
    Procedural content generation
    Intelligent interactive narrative
    Character development and narrative
    AI for virtual cinematography
    AI for non-player characters
    Multi-agent and multi-strategy learning in games    General game playing
    Theoretical or empirical analysis of AI techniques for games
    Comparative studies and game-based benchmarking of AI algorithms
    Applications of artificial intelligence in (non-inclusive list):
        Digital games (any platform)
        Board and card games
        Economic or mathematical games
        Serious games
        Realistic games for simulation or training
        Augmented and mixed-reality games

– IMPORTANT DATES

  APRIL 30, 2019: Paper submission deadline
  May 31, 2019: Notification of paper acceptance
  June 15, 2019: Deadline for camera‐ready versions
  September 3‐6, 2019: Conference dates

– PAPER SUBMISSION

Submissions must be full technical papers on substantial, original,
and previously unpublished research. Papers can have a maximum length
of 12 pages. All papers should be prepared according to the formatting
instructions of Springer LNAI series. Authors should omit their names
from the submitted papers, and should take reasonable care to avoid
indirectly disclosing their identity. References to own work may be
included in the paper, as long as referred to in the third person. All
papers should be submitted in PDF format through the conference
management website at:
https://www.easychair.org/conferences/?conf=epia2019

– TRACK FEES

Track participants must register at the main EPIA 2019 conference.
No extra fee shall be paid for attending this track.

– ORGANIZING COMMITTEE

Alberto Simões, Polytechnic Institute of Cávado and Ave, Portugal
Antonios Liapis, University of Malta, Malta
Gustavo Reis, Polytechnic Institute of Leiria, Portugal

– PROGRAM COMMITEE

Carlos Martinho, IST, Universidade de Lisboa, Portugal
Christoph Salge, University of Hertfordshire, UK
David Carneiro, Universidade do Minho, Portugal
Daniele Gravina, University of Malta, Malta
Daniel Karavolos, University of Malta, Malta
David Melhart, University of Malta, Malta
Diego Perez Liebana, University of Essex, UK
Duarte Duque, Instituto Politécnico do Cávado e do Ave, Portugal
Éric Jacopin, ESM Saint-Cyr, France
Eva Hudlicka, Psychometrix Associates, US
Fernando Silva, New York University, USA
Gabriella A. B. Barros, New York University, USA
João Dias, IST, Universidade de Lisboa, Portugal
José Valente de Oliveira, Universidade do Algarve, Portugal
Konstantinos Karpouzis, National University of Athens, Greece
Luís Paulo Reis, Universidade do Porto, Portugal
Marco Scirea, University of Southern Denmark, Denmark
Michael Green, New York University, USA
Pedro Moreira, Portugal
Penousal Machado, Universidade de Coimbra, Portugal
Phil Lopes, GAIPS, Portugal
Rui Prada, INESC-ID / IST, Lisboa, Portugal


Alberto Simões
Responsável pela Área Estratégica dos Sistemas de Informação
Direção de Curso da Licenciatura em Engenharia de Sistemas Informáticos
Escola Superior de Tecnologia – Instituto Politécnico do Cávado e do Ave



Alberto Simões

Responsável pela Área Estratégica dos Sistemas de Informação

Direção de Curso da Licenciatura em Engenharia de Sistemas Informáticos
Escola Superior de Tecnologia – Instituto Politécnico do Cávado e do Ave

[rede.APPIA] CFP: Artificial Intelligence in Medicine (AIM@EPIA-2019) – EXTENDED DEADLINE (April 30, 2019)

(Apologies for cross-posting)

======================================================================  CFP: Artificial Intelligence in Medicine (AIM@EPIA-2019)  Thematic track of the 19th Portuguese Conference on Artificial Intelligence (EPIA 2019)  3-6 September 2019, Vila Real, Portugal  Webpage: https://epia2019.utad.pt/index.php/83-thematic-tracks/99-aim  ======================================================================    IMPORTANT DATES  - Extended Full Paper Submission: April 30, 2019  - Notification of Acceptance: May 31, 2019  - Camera ready Papers: June 15, 2019  - Conference Date: September 3-6, 2019    IMPORTANT NEWS  - LNCS/LNAI Proceedings (Springer)  - Special issue of the journal Medical Systems with selected papers*     INTRODUCTION  Every day medicine is facing new challenges: new diseases, cost reductions, new therapeutics, rapid and accurate decisions, new techniques and technologies.   Artificial Intelligence (AI) is playing an important role in the decision making process, in the way the data of the patients are collected, treated, processed, anticipating and avoiding critical situations, as well to test and simulate new treatments and devices.   The big question to be answered is: How Artificial Intelligence can help to overcome these challenges and improve the efficiency of medicine?   Data Science, Sensing, Pervasiveness, Ubiquity and Intelligent Agents in Medicine, can contribute with new artefacts and new knowledge for health professionals.   AI aims to improve the usability of programs for assisting physicians in figuring out what is wrong with the patients and provide new solutions to help making better decisions.   AI systems are intended to support healthcare practitioners in the normal course of their duties, assisting with tasks that rely on the manipulation of data and knowledge.   In particular, these systems have for example the capacity to learn, leading to the discovery of new phenomena and the creation of medical knowledge improving human health and longevity.  This track promotes a forum to discuss and present emergent topics, new projects and ideas about how AI can contribute to the field of Medicine and, improve patient conditions.   By bringing together researchers from two distinct areas is expected to produce new scientific and technical knowledge in a particular area as is medicine.   Special attention will be given to the social impact/gain of the AI contributions in medicine.     TOPICS OF INTEREST  Innovative and exciting works are welcome in areas including but not limited to:    Medical methodologies, architectures, environments, and systems.  •	Agents for information retrieval;  •	AI in Medical Education and Clinical Management;  •	Wellbeing and lifestyle support;  •	Interoperability, Security, Pervasiveness, Ubiquity and Cloud Computing in Medicine;  •	Methodological, philosophical, ethical, and social issues of AI in Medicine;  •	Pervasive Healthcare Environments;  •	Software architectures.  Knowledge engineering and Decision Support Systems:  •	AI-based clinical decision making and Clinical Decision Support Systems;  •	Automated reasoning, Case-Based Reasoning or Reasoning with medical knowledge;  •	Business Intelligence in Health Care;  •	Clinical Data Mining;  •	Data Streaming;  •	Diagnostic assistance;  •	Expert, agent-based or knowledge-based systems;  •	Medical knowledge engineering;  •	Pervasive or Real-Time Intelligent Decision Support Systems in Critical Health Care.  Medical Applications and Devices  •	Computational intelligence in bio- and clinical medicine;  •	Electronic Health Records (eHealth);  •	Image recognition and interpretation;  •	Intelligent devices and instruments;  •	Sensor-based applications;  •	Telemedicine and mHealth solutions;  •	Ubiquitous devices in the storage, update, and transmission of patient data;  •	Usability and acceptability.  AI in Healthcare Information Systems  •	Autonomous systems to support independent living;  •	Healthcare System Based on Cloud Computing;  •	Intelligent Healthcare information systems;  •	Pervasive Information Systems;  •	Pervasiveness and Security in Clinical Systems;  •	Smart homes, hospitals and Intelligent Systems;  •	Simulation Computer systems.     PAPER SUBMISSION  Submissions must be full technical papers on substantial, original, and previously unpublished research. Papers can have a maximum length of 12 pages.   All papers should be prepared according to the formatting instructions of Springer LNCS series (Springer Lecture Notes in Computer Science).   Authors should omit their names from the submitted papers, and should take reasonable care to avoid indirectly disclosing their identity.  All papers should be submitted in PDF format through the EPIA2019 submission Website (https://easychair.org/conferences/?conf=epia2019) selecting the track Artificial Intelligence in Medicine (AIM).  All accepted papers will be published by Springer in a volume of the LNAI Lecture Notes in Artificial Intelligence series (indexed by the Thomson ISI Web of Knowledge).  *Authors of the best papers presented at the AIM track of EPIA will be invited to submit extended versions of their manuscripts for a Special Issue in Journal of Medical Systems (Springer)    ORGANIZING COMMITTEE  * Manuel Filipe Santos, University of Minho, Portugal (contact person) mfs@dsi.uminho.pt  * Carlos Filipe Portela, University of Minho, Portugal cfp@dsi.uminho.pt  * Allan Tucker, Brunel University London, Uk, allan.tucker@brunel.ac.uk  

[rede.APPIA] First Interdisciplinary Summer School on AI (ISSAI 2019)

*Apologies for cross-postings*
*ISSAI 2019: First Interdisciplinary Summer School on AI* (issai.dei.uc.pt) *Focus Theme: “New paths for Intelligence”*
*Jointly organised by APPIA and AEPIA* *June 5-7, 2019* *Fórum Cultural de Cerveira, Vila Nova de Cerveira, Portugal*
The ISSAI is intended as an interdisciplinary forum with the aim to create a multi-directional flow between AI and other disciplines. The spirit of the meeting is that a forum where practitioners from different fields both present ideas from their fields and learn about ideas from other fields is the best atmosphere for all the disciplines to prosper together.
The event is an initiative of the Portuguese and Spanish associations for AI (APPIA and AEPIA). It is aimed at graduate students, post-docs and researchers willing to advance their knowledge and gain new insights by actively participating in an interdisciplinary dialogue.
The focus theme for the first edition in 2019 will be “New paths for Intelligence”.
*Confirmed Lecturers*: – Luc Steels (Catalan Institute for Advanced Studies (ICREA)) – ai.vub.ac.be/members/steels – Matteo Valleriani (Max Planck Institute for the History of Science) – www.mpiwg-berlin.mpg.de/users/valleriani – Itziar de Lecuona (Universitat de Barcelona) – www.bioeticayderecho.ub.edu/en/itziar-de-lecuona – JJ Merelo (University of Granada) – kal-el.ugr.es/jj/jj.html – Jochen Büttner (Max Planck Institute for the History of Science) – www.topoi.org/person/buettner-jochen/cv/ – Nuno Sousa (University of Minho) – www.icvs.uminho.pt/research-scientists/people/njcsousa – Tony Veale (University College Dublin) – people.ucd.ie/tony.veale
*We invite all the graduate students, post-docs and researchers interested in this interdisciplinary forum to book these dates and pay attention to our website. The registration will open soon.*
*Venue*: The ISSAI will take place in the Fórum Cultural de Cerveira, which is the main stage of the prestigious Biennial of Art of Vila nova de Cerveira. This venue offers an excellent set up for three intensive days of lecturers, panels, formal and informal discussions, networking and fun.
*Accommodations*: We have booked a number of places with controlled prices, primarily for students, in the Youth Hostel (Pousada da Juventude). Detailed information on how to apply will be available in ISSAI website soon. Vila Nova da Cerveira has a good offer of alternative accommodations available in the most known booking platforms.
*Chairs*: – Amparo Alonso (University of A Coruña) – Amílcar Cardoso (University of Coimbra) – Luís Correia (University of Lisbon) – Pablo Gervás (University Complutense of Madrid) – Paulo Novais (University of Minho) – Alicia Troncoso Lora (University Pablo de Olavide)

[rede.APPIA] ***Business Applications of Artificial Intelligence (BAAI – EPIA 2019) *** Call For Papers – EXTENDED DEADLINE

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*** Distinguished Colleague, please distribute *** Apologies for cross-postings ***

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CALL FOR PAPERS

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Business Applications of Artificial Intelligence (BAAI – EPIA 2019)

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Thematic Track of 19th Conference on Artificial Intelligence (EPIA 2019)

September 3-6, 2019, Vila-Real, Portugal

https://epia2019.utad.pt/
Paper submission deadline: April 15, 2019 April 30, 2019

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Scope

AI is undoubtedly becoming a commodity in the business world. In fact, AI technology is increasingly used in major industries such as health, manufacturing, retail, automotive, education, marketing, sales, financial services, entertainment and security, to increase productivity and reduce costs. The Business Applications of Artificial Intelligence (BAAI) track will focus on bringing new insights on successful applications of AI technology in business as well as identifying challenges that can only be addressed by collaborative efforts between industry and academia.  Industry leaders need to learn with researchers how and where AI technologies can be applied in their organizations. On the other hand, researchers need to understand the challenges that companies are facing, the potential for solving them with AI technologies but also the additional challenges raised by developing solutions to real world problems with those technologies. The track will promote the discussion concerning challenges and potential solutions and the sharing of ideas and experiences between researchers (especially young ones, such as M.Sc. and Ph.D. students) and industry leaders. It also aims to disseminate recent research, innovative approaches and techniques, current trends and concerns.

Topics of Interest

The topics relevant to the track include, but are not limited to, the following:

AI applications in business, industry and government, involving technologies such as:

-Agent based systems

– Data science (data mining, big data, machine learning and deep learning)

– Evolutionary computation

– Expert and decision support systems

– Intelligent search

– Metaheuristics

– Intelligent planning

– Robotics

– Solutions based on the integration of multiple AI and other types of technologies

– Methodological issues in the development of AI projects

– Social impact of AI

– Business problems in need of AI solutions

 

Program Committee

Adam Woznica, Expedia, Switzerland
António Castro, FEUP/LIACC-NIADR, University of Porto, Portugal
Carlos Rodrigues, Marionete, United Kingdom

Carmela Comito, ICAR-CNR, Italy

Dario Oliveira, IBM Research, Brazil

Efi Papatheocharous, Swedish Institute of Computer Science, Sweden
Elaine Ribeiro de Faria, Universidade Federal Uberlândia, Brazil
Francesca Spezzano, College of Engineering, Boise State University, Italy

Gustavo Batista, Universidade de São Paulo, Brazil

Ida Mele, Universita’ della Svizzera, Italy
Jean-Pierre Briot, Laboratoire d’Informatique de Paris 6 (Paris6-CNRS) & PUC-Rio, Brazil

Kaustubh Patil, MIT, USA

Lourdes Borrajo, Universidad de Vigo, Spain

Marisa Affonso Vasconcelos, IBM Research, Brazil

Paulo Cavalin, IBM Research, Brazil
Pedro Henriques Abreu, FCTUC-DEI/CISUC, Portugal
Peter Van der Putten, Pegasystems /U. Leiden, Netherlands

Rodrigo Mello, Universidade de São Paulo, Brazil
YongHong Peng, University of Sunderland, United Kingdom

 

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Submission Information

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All accepted papers will be published by Springer in a volume of Springer’s Lecture Notes in Artificial Intelligence (LNAI) corresponding to the proceedings of the 19th EPIA Conference on Artificial Intelligence, EPIA 2019.

We accept three types of submissions, regular EPIA papers, M.Sc. project posters and industrial solutions and case studies, as detailed next.

Regular Submission

Submissions must be original and not published elsewhere. Papers should not exceed twelve (12) pages in length and must adhere to the formatting instructions of the conference. Each submission will be peer reviewed by at least three members of the Program Committee. The reviewing process is double blind, so authors should remove names and affiliations from the submitted papers, and must take reasonable care to assure anonymity during the review process. References to own work may be included in the paper, as long as referred to in the third person. Acceptance will be based on the paper’s significance, technical quality, clarity, relevance and originality. All accepted papers must be presented orally the conference by one of the authors and at least one author of each accepted paper must register for the conference.

All papers should be submitted in PDF format through the EPIA 2019 EasyChair submission page. Prospective authors should select the thematic track to which their paper is to be submitted.

Student project posters

M.Sc. students are invited to submit a 2 pages summary of their project (same formatting rules as for the regular papers). Although the discussion of results will be beneficial, it is not required. This means that students at early phases of their projects are encouraged to submit. Accepted submission will present their work at a poster session, where they will have the opportunity to interact with participants from the companies. Accepted submissions will be published in the local (online) web-page.

Industrial solutions and case studies

Submissions are invited for industrial solutions and case studies. Submit a 2 pages summary of solutions (general-purpose or specific tools) and case studies (success stories, lessons learned and challenges). The same formatting rules for the regular papers apply. Accepted submissions will present their work at a specific session, where the speakers will have the opportunity to discuss their work with academic experts on AI. Accepted submissions will be published in local (online) proceedings.

Participation

Registrations associated with student project posters and Industrial solutions and case studies have access to the technical program, participation in the welcome session, coffee-breaks and lunch on the first day. More information about registration can be found at the EPIA 2019 site.

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Important Dates

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Paper submission deadline: April 15, 2019 April 30, 2019
Notification of paper acceptance: May 31, 2019
Camera ready papers deadline: June 15, 2019
Conference dates: September 3-6, 2019

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Organizing Committee

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Célia Talma Gonçalves, CEOS.PP – ISCAP, P.Porto / LIACC, Portugal
Ana Paula Appel, IBM Research, São Paulo, Brazil

Eunika Mercier-Laurent, Global Innovation Strategies, France

Eva Lorenzo Iglesias, UVigo, Spain

Eugénio Oliveira, LIACC, FEUP-UPorto, Portugal
Carlos Soares, FEUP / INESC TEC, Porto, Portugal

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Please see more instructions for authors on the BAAI web page

https://www.epia2019.utad.pt/index.php/83-thematic-tracks/104-baai

 

 

[rede.APPIA] Fwd: [Distinguished Lecture Series] Prof. Milind Tambe – AI for Social Good: Learning and Planning in the End-to-End, Data-to-Deployment Pipeline – 17 April – 13h30

——– Mensagem reencaminhada ——– Assunto: [Distinguished Lecture Series] Prof. Milind Tambe – AI for Social Good: Learning and Planning in the End-to-End, Data-to-Deployment Pipeline – 17 April – 13h30 Data: Tue, 16 Apr 2019 10:11:49 +0100 De: Ana Paiva <paiva.a@gmail.com> Para: Jose Alferes <jja@fct.unl.pt>, Margarida Abecasis <mabecasis@gulbenkian.pt>, Paulo Novais <pjon@di.uminho.pt>, Eugénio Oliveira <eco@fe.up.pt>

Por favor, divulgar… É já amanhã.
> Begin forwarded message: > > *From: *”Manuela Sado” <manuela.sado@inesc-id.pt > <mailto:manuela.sado@inesc-id.pt>> > *Subject: **Reminder – [Distinguished Lecture Series] Prof. Milind > Tambe – AI for Social Good: Learning and Planning in the End-to-End, > Data-to-Deployment Pipeline – 17 April – 13h30* > *Date: *15 April 2019 at 17:47:28 GMT+1 > *To: *<investigadores@inesc-id.pt <mailto:investigadores@inesc-id.pt>> > *Cc: *Sandra Sá <sandra.sa@inesc-id.pt <mailto:sandra.sa@inesc-id.pt>> > *Reply-To: *manuela.sado@inesc-id.pt <mailto:manuela.sado@inesc-id.pt> > > Reminder – [Distinguished Lecture Series] Prof. Milind Tambe – AI for > Social Good: Learning and Planning in the End-to-End, > Data-to-Deployment Pipeline – 17 April – 13h30 > Prof. Milind Tambe > University of Southern California > /AI for Social Good: Learning and Planning in the End-to-End, > Data-to-Deployment Pipeline > /17 April 2019, 13h30 > Room 0.19/0.20, IST – Pavilhão de Informática II, Alameda > > Abstract: With the maturing of AI and multiagent systems research, we > have a tremendous opportunity to direct these advances towards > addressing complex societal problems. I will focus on the problems of > public safety and security, wildlife conservation and public health in > low-resource communities, and present research advances in multiagent > systems to address one key cross-cutting challenge: how to > strategically deploy our limited intervention resources in these > problem domains. I will discuss the importance of conducting this > research via building the full data to field deployment  end-to-end > pipeline rather than just building machine learning or planning > components in isolation. Results from our deployments from around the > world show concrete improvements over the state of the art. In pushing > this research agenda, we believe AI can indeed play an important role > in fighting social injustice and improving society. > > Bio: Milind Tambe is Helen N. and Emmett H. Jones Professor in > Engineering at the University of Southern California(USC) and the > Founding Co-Director of CAIS, the USC Center for Artificial > Intelligence in Society, where his research focuses on advancing AI > and multiagent systems research for Social Good. He is recipient of > the IJCAI (International Joint Conference on AI) John McCarthy Award, > ACM/SIGAI Autonomous Agents Research Award from AAMAS (Autonomous > Agents and Multiagent Systems Conference), AAAI (Association for > Advancement of Artificial Intelligence) Robert S Engelmore Memorial > Lecture award, INFORMS Wagner prize, the Rist Prize of the Military > Operations Research Society, the Christopher Columbus Fellowship > Foundation Homeland security award, International Foundation for > Agents and Multiagent Systems influential paper award; he is a fellow > of AAAI and ACM. He has also received meritorious Commendation from > the US Coast Guard and LA Airport Police, and Certificate of > Appreciation from US Federal Air Marshals Service for pioneering > real-world deployments of security games. Prof. Tambe has also > co-founded a company based on his research, Avata Intelligence , where > he serves as the director of research. Prof. Tambe received his Ph.D. > from the School of Computer Science at Carnegie Mellon University. > > *****Manuela Sado* > Secretariado / Secretariat > INESC-ID > URL:___www.inesc-id.pt_<www.inesc-id.pt/> > Rua Alves Redol, 9, sala 434 > 1000-029 Lisboa > Portugal > Tel.: +351 213 100 317 > Email:___manuela.sado@inesc-id.pt_<mailto:manuela.sado@inesc-id.pt> > Skype: maria.manuela.sado >