Realização

22/05 - Segunda-feira

Horários Atividades
08:00 - 08:30
Credenciamento
08:30 - 09:00
Abertura
09:00 - 10:00

Palestra de Abertura:

 

Utilizando Psicologia e Inteligência Artificial para auxiliar no controle de stress e desenvolvimento de talentos.

com Renato Barbosa (Gria)

10:00 - 10:30
Intervalo
10:30 - 12:30
12:30 - 14:00
Almoço
14:00 - 16:00
16:00 - 16:30
Intervalo
16:30 - 17:30
17:30 - 18:00
Intervalo
18:00 - 19:30

Reunião Anual

 

CESC - Comissão Especial de Sistemas Colaborativos

23/05 - Terça-feira

Horários Atividades
08:00 - 08:30
Credenciamento
08:30 - 10:00
10:00 - 10:30
Intervalo
10:30 - 12:30
12:30 - 14:00
Almoço
14:00 - 16:00

Sessão técnica 4:

 

Desenho de Pesquisa

16:00 - 16:30
Intervalo
16:30 - 17:30

Palestra Nacional:

 

Práticas colaborativas em educação: antigos e novos desafios.

 


com Flavia Santoro (Inteli)

17:30 - 19:00
Intervalo
19:00 - 21:00

Coquetel

 

Com participantes do CSCWD - International Conference on Computer Supported Cooperative Work in Design

 

e participantes do SBSC - Simpósio Brasileiro de Sistemas Colaborativos 

24/05 - Quarta-feira

Horários Atividades
08:00 - 08:20
Credenciamento
08:20 - 08:30

Abertura CSCWD

 

International Conference on Computer Supported Cooperative Work in Design

08:30 - 10:30

Palestras Internacionais

 

Promoting the diversity of digital technologies

 

com Myriam Lewkowicz (Université de Technologie de Troyes, France)

 

Apresentação Virtual com Huayong Yang

10:30 - 11:00
Intervalo
11:00 - 12:30

Palestra da Industria

 

Colaboração na indústria: casos de inspiração no estado do Rio​

 

com Julia Zardo e Natany Borges

12:30 - 14:00
Almoço
14:00 - 16:00

Minicurso

​Os Benefícios de ser Polarizado nas Redes Sociais: Há?

com Ana Paula Pimentel, Eduardo Oliveira, Daniel Schneider e Claudia Motta

16:00 - 16:30
Intervalo
16:30 - 17:30

Premiações

& Encerramento

Minicurso

Os benefícios de ser polarizado nas redes sociais: há?

A polarização de ideias é um assunto controverso que voltou a ser pauta em diversos cenários principalmente pela onipresença das redes sociais. Geralmente considerada a grande vilã dentro da política mundial e pivô em divergências privadas entre amigos e parentes, a polarização ainda levanta mais dúvidas do que certezas. Apesar de desencadear efeitos colaterais nocivos descritos e comprovados na literatura científica, a polarização de ideias é um fenômeno natural resultado da interação humana e pode ter benefícios. Há inúmeras soluções testadas para mitigar os comportamentos áridos de falta de comunicação e cooperação consequência direta da polarização, mas nada unânime. Realizar uma análise dos agentes, tipos, atributos e mecanismos da polarização pode proporcionar novas reflexões sobre como desenvolver cenários de investigação sobre a dinâmica da cognição nos ambientes das redes sociais.

Neste minicurso teremos uma dinâmica dividida em três partes: apresentação das perspectivas científicas sobre a polarização de ideias, exposição de ferramentas de análise dos mecanismos de polarização e um Debate colaborativo sobre opiniões, estudos futuros e conclusões.

Ana Paula Pimentel
UFRJ
Eduardo Gomes de Oliveira
UNIRIO
Daniel Schneider
UFRJ
Claudia Motta
UFRJ

Palestra de Abertura

Renato Barbosa

Gria

Utilizando Psicologia e Inteligência Artificial para auxiliar no controle de stress e desenvolvimento de talentos

A psicologia junto com a inteligência artificial pode ajudar a controlar o estresse e desenvolver talentos em sistemas colaborativos. Algoritmos identificam fatores de estresse e sugerem soluções personalizadas. A IA também pode identificar talentos e habilidades em potencial, permitindo investimentos estratégicos em funcionários. Uma combinação valiosa para promover saúde mental e desenvolvimento profissional.

Sobre a palestrante:

Renato Barbosa é ex Diretor de Dados e Inteligência Artificial da Amazon e EBANX (Unicórnio brasileiro). Empreendedor desde os 14 anos co-fundou uma das mais relevantes consultorias de nuvem e Ti do BR. Após 13 anos deixou seu negócio para atuar na Amazon AWS. Lá criou o time de inovação para clientes e liderou o business de Inteligência artificial na America latina. Hoje ministra palestras e aulas em cursos de graduação e pós-graduação e também é Co-Fundador da Gria, empresa que foca no desenvolvimento profissional das pessoas por meio da inovação e Inteligência Artificial.

Palestra Nacional

Flavia Santoro

Inteli - Instituto de Tecnologia e Liderança

Práticas colaborativas em educação: antigos e novos desafios

Muito se fala sobre a importância da colaboração no contexto educacional. A aprendizagem é estimulada quando estudantes se apoiam em trabalhos em grupo, de acordo com alguns teóricos. Apesar de ser um tema debatido há muito tempo, ainda enfrentamos desafios na implantação de metodologias ativas e colaborativas em sala de aula. O objetivo desta apresentação é discutir possibilidades de práticas concretas e o papel fundamental que os sistemas colaborativos têm no suporte e mitigação dos desafios educacionais.

Sobre a palestrante:

Flavia Santoro é doutora em Engenharia de Sistemas e Computação pelo COPPE-UFRJ, com pós-doutorado na Université Pierre et Marie Curie (França) e Queensland University of Technology (Austrália). Bolsista de Produtividade em Pesquisa do CNPq desde 2009. Sua pesquisa tem foco em Sistemas de Informação, especialmente nas áreas: Gestão de Processos de Negócios, Processos Intensivos em Conhecimento, Sistemas Colaborativos, Aprendizagem Baseada em Projetos e Ética em Sistemas de Informação e Processos. Atua como consultora na área de Gestão de Processos de Negócios e coordena projetos de pesquisa em parceria com instituições científicas em âmbito internacional. Atualmente é Diretora Acadêmica do Instituto de Tecnologia e Liderança e professora na Universidade do Estado do Rio de Janeiro.

Palestra Internacional (em colaboração com CSCWD)

Myriam Lewkowicz

Université de Technologie de Troyes, France

Promoting the diversity of digital technologies

Digital technologies have invaded all aspects of our daily work and life and are essential to sustain economic and social life. However, these technologies are far from diverse; we end up using monolithic technologies not necessarily adapted to our needs, or not aligned with our values. How can we achieve a digital transformation of a society that values social interactions as a common good rather than as a source of income and accumulation? And thus how can we promote a diversity of digital technologies adapted to various situations and aligned with European values (human dignity, freedom, democracy, equality, rule of law, and human rights) – that go beyond the geographical borders of the continent. In order to meet this challenge, we must adopt a practice-centered approach to the design of digital technologies.

This design approach has existed for more than 30 years and was conceptualized by CSCW researchers. A bit more than ten years ago, a group of researchers and companies based in Europe decided to make this approach more visible to students, researchers, companies, and European institutions by creating the international (but European-based) association EUSSET. In the socio-technical approach we promote, traditional design criteria in computer science such as performance, correctness, robustness, or usability must be complemented by methods and perspectives that illuminate how technology and practice develop each other. The particular emphasis that is put on social practices requires understanding the social characteristics of the context in which the tools are going to be used and integrating the understanding of individual and social activities in the innovative design and development of digital technologies. Getting this rich understanding of the diversity of the world is the only way to take advantage of human and social capacities and to increase them with diverse digital technologies that people find useful, usable, consistent with their values, and respectful of their rights.

About keynote speaker:

Myriam Lewkowicz is Professor at Troyes University of Technology where she heads the pluridisciplinary research group Tech-CICO and the master program. She is interested in defining digital technologies to support existing collective practices or to design new collective activities. This interdisciplinary research proposes reflections and approaches for the analysis and the design of new products and services to support cooperative work. The main application domains for this research for the last fifteen years have been healthcare (social support, coordination, telemedicine) and the industry (digital transformation, maintenance). She is a member of the program committees of the main conferences in Cooperative Work, Social Software, and Human-Machine Interaction, chairs the European scientific association EUSSET, and is deputy editor-in-chief of the CSCW journal, « The Journal of Collaborative Computing and Work Practices.

Palestra da Indústria

Julia Zardo

Federação das Indústrias do Rio de Janeiro (Firjan)

Natany Borges

Federação das Indústrias do Rio de Janeiro (Firjan)

Colaboração na indústria: casos de inspiração no estado do Rio

Julia Zardo e Natany Borges irão apresentar o trabalho da Gerência de Ambientes de Inovação da Federação das Indústrias do Rio (Firjan), um dos braços de inovação da Firjan que fomenta a colaboração entre indústria, academia, empresas e startups e trabalha para fortalecer o ecossistema do Rio de Janeiro. Também irão mostrar diferentes casos de colaboração da indústria fluminense e os impactos dessas iniciativas para fomentar a competitividade e a melhoria do ambiente de negócios.

Sobre as palestrantes:

Julia Zardo é Doutora em Políticas Públicas, Estratégia e Desenvolvimento pelo Instituto de Economia da UFRJ; Mestre em Comunicação e Cultura pela Escola de Comunicação Social da UFRJ; Jornalista pelo Departamento de Comunicação Social da PUC-Rio. Gerente de Ambientes de Inovação da Firjan. Professora de disciplinas de empreendedorismo, desenvolvimento local, inovação e economia criativa na graduação da PUC-Rio e em diversos programas de Pós-graduação. Foi gerente do Instituto Gênesis da PUC-Rio por 18 anos, onde desenvolveu e coordenou entre diversos projetos, o Rio Criativo, Incubadoras de Empreendimentos da Economia Criativa do Estado do Rio de Janeiro. Colunista da Veja Rio sobre inovação e sociedade.

Natany Borges é Jornalista com especialização em Convergência Digital pela Universidade do Vale do Rio dos Sinos. Tem experiência em reportagem impressa e online e assessoria de imprensa na área de inovação. Hoje é especialista de projetos na Casa Firjan e uma das apresentadoras do Pensa Rio, podcast que reúne especialistas, pensadores, empresas e sociedade para discutir novos caminhos para o estado do Rio de Janeiro.

Palestrantes CSCWD

Huayong Yang

Zhejiang University, China

Development of Intelligent Tunnel Boring Machine

The key technology in tunnel boring machines in China has experienced significant progress in recent years, some of which are leading the world. Intelligent tunnel boring machine, based on automation, unmanned, and intelligence, is the future trend of tunnel boring technology. It can realize the safety, adaption, and coordination of the tunnel boring process. The presentation focuses on four aspects, including intelligent design, intelligent perception, intelligent manipulation, and intelligent maintenance. A recent development and outlook on the key technology of the intelligent tunnel boring machine is also discussed.

About keynote speaker:

Prof. Huayong Yang received his B.Sc. from Huazhong University of Science and Technology, China in 1982 and Ph.D. degree from University of Bath in 1988. He has been with Zhejiang University since 1989, and was made a full professor in 1996. He is currently the head of School of Mechanical Engineering Zhejiang University. He is a member of the Chinese Academy of Engineering. He was awarded Joseph Bramah Medal in 2017 and is a member in the board of directors in Global Fluid Power Society (GFPS) since 2018. Prof. Huayong Yang holds more than 200 invention patents and published authored over 500 peer reviewed journal papers. His research interests are in motion control and energy saving of mechatronic systems, development of fluid power component and system, integration of electro-hydraulic system and engineering applications, 3D bioprinting machine and biofabrication applications. Prof. Huayong Yang has been named the recipient of the 2021 Robert E. Koski Medal from the American Society of Mechanical Engineers (ASME).

Chunsheng Yang

National Research Council Canada

Be Ready for AI Third Wave!?

We have witnessed the achievements of AI research and its impact on human life and society over the past few decades. Since its inception at the Dartmouth Conference 1956, AI has gone through several boom and bust cycles. Each bust pushed AI research from one boom to yet another prosperous boom. For example, the most recent bust from 1987 to 1993 led to another AI research boom which has lasted almost 20 years (2000-2019). During the last two decades, many dreams in AI research have become reality. However, today AI development run into many barriers in meeting the expectations of public in the commercialization of AI technologies such as safe-driving, self-abstracting, self-learning, etc. In this talk the speaker will explore where is boundary to impede the AI advancement by reviewing the AI history, and the major achievements from the first and second AI waves. Then speaker will share the vision of next AI wave in order to be ready for AI third wave. We believe in that the AI third wave is coming and will be a much stronger torrent!.

About keynote speaker:

Dr. Chunsheng Yang is a Fellow of the Canadian Academy of Engineering (FCAE) and Fellow of the Asia-Pacific Artificial Intelligence Association (FAAIA). He is a Principal Research Officer at the National Research Council Canada and was a distinguished Professor with Nagoya Institute of Technology (Japan). Dr. Yang is an Adjunct Professor with Carleton University (Canada). He is interested in data science, machine learning, hybrid reasoning, intelligent systems, digital twins and Prognostic and Health Management (PHM). He received an Hons. B.Sc. in Electronic Engineering from Harbin Engineering University, China, an M.Sc. in computer science from Shanghai Jiao Tong University, China, and a Ph.D. from the National Hiroshima University, Japan. He worked with Fujitsu Inc., Japan, as a Senior Engineer and engaged on the development of intelligent traffic management for ATM backbone telecommunication networks. Yang has been the author for 226 technical papers (book chapters) and reporters published in the referred journals and conference proceedings. Dr. Yang is a Program Co-Chair of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2016) and a Program Co-Chair for the 17th International Conference on Industry and Engineering Applications of Artificial Intelligence and Expert Systems in 2004. He is also a guest editor for the International Journal of Applied Intelligence and the Journal of Clustering Computing. He severs scientific advisor for several instructions such as NSERC, Irish Research Council.

Cristina Bicharra Garcia

UNIRIO, Brasil

The Good, The Bad, and The Ethical: Exploring Artificial Intelligence in Automatic Decision-Making

This presentation will focus on the ethics of using artificial intelligence (AI) in automatic decision-making. Various domains use AI algorithms for decision-making, from criminal justice and healthcare to hiring and credit scoring. While these algorithms offer the potential for increased efficiency and objectivity, they also raise several ethical concerns.

The presentation will begin with an overview of the current state of AI and automatic decision-making, including the different types of AI algorithms and their use. It will then discuss some of the key ethical considerations associated with these applications of AI. These may include issues of fairness and bias, transparency and explainability, privacy and data protection, and accountability and responsibility.

The presentation will also explore some potential consequences of using AI in automatic decision-making, both positive and negative. For example, AI may help to reduce human error and bias, but it may also perpetuate existing social inequalities or create new ones. In addition, it may improve efficiency and productivity. However, on the other hand, it may lead to job losses or other unintended consequences.

This presentation will address these ethical concerns and propose several guidelines and best practices for developing and deploying AI algorithms. These may include the need for transparency and explainability, ongoing monitoring and evaluation, and interdisciplinary collaboration between technical experts and other stakeholders. The presentation will also exemplify the issue of bias using our current study in loan decision-making using data from a Brazilian bank as a case study.

The presentation will conclude by highlighting the ongoing importance of ethical considerations in using AI and automatic decision-making and the need for continued discussion and debate around these issues. Taking a proactive and ethical approach to AI can help ensure that these technologies are used in ways that benefit society.

About keynote speaker:

Cristina Bicharra Garcia received a Ph.D. degree in Computer-Aided Civil Engineering from Stanford University(1992), an M.Sc. degree also from Stanford (1988), and an Engineer degree in Civil Engineering from the Federal University of Rio de Janeiro (UFRJ). She is a Full Professor at the Applied Informatics Department at the State of Rio de Janeiro Federal University (UNIRIO), a Research Affiliate of the Massachusetts Institute of Technology (MIT), and an IEEE senior member. She is currently the head of the Applied Artificial Intelligence Laboratory (SPID) at UNIRIO. She was the founder and coordinator for 21 years of the ADDLabs, where she developed over 20 AI software solutions for the petroleum domain. She is the author of over 44 journal papers and 140 conference papers. She has supervised 13 Ph.D. Thesis and 36 M.Sc. Dissertations. Her current research interests include explainable AI, algorithmic discrimination, computational intelligence methods, and applications for the social good.