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Promoting Discussion with Collective Intelligence
HAQBEEN JAWAD
Nagoya Institute of Technology
自己紹介 is a Ph.D. student at Nagoya Institute of Technology, Japan. He received his B.Sc.
and M.Sc. in Computer Sciences from Nangarhar University (AFG) and Waseda University
(Japan) in 2010 and 2013, respectively. His research interest includes Civic Tech, AI for Social
Good, Knowledge-based Software Engineering, Crowd-AI collaboration, Internet of People
and Conversational AI systems.
研究概要 My research is about promoting discussion for social good, and studying methods
to analyze gathered opinion to extract valuable insights in collective intelligence.
We are using conversational agent platform with NLP and mining technologies as a key
method to facilitate social discussion and extract real-world data. First, we want to extend
the impact of AI outside of Lab zone and give people the chance to discuss about their social
issues and its solution. Second, we want to promote the contribution of socially-aware AI for
the good of society.
Also, we want to verify the impact of such works on the real situation in the ground knowing
the context where it has been performed such as AI for city planning and AI for Public Health.
Notably, we are working in Collaboration with Kabul Municipality and Ministry of Public
Health to promote citizens participation as a (I-A-G) Collaboration.
2
References
[1] Jawad Haqbeen, Takayuki Ito, Sofia Sahab, Takumi Sato, Shun Okuhara and Murtaza
Hofaini,. “Insights from a Large-Scale Discussion on COVID-19 in Collective Intelligence”. The
2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent
Technology (WI-IAT ‘20)
[2] Jawad Haqbeen, Takayuki Ito, Rafik Hadifi, Tomohiro Nishida, Zoia Sahab, Sofia Sahab,
Shafiq Roghmal and Ramin Amiryar, “Promoting Discussion with AI-based Facilitation: Urban
Dialogue with Kabul City”. The 8th ACM Collective Intelligence 2020, Boston-Copenhagen,
June 18-19, 2020
[3] Jawad Haqbeen, Takayuki Ito, Sofia Sahab, Rafik Hadfi, Shun Okuhara, Nasim Saba,
Murtaza Hofaini and Umar Baregzai “A Contribution to COVID-19 Prevention through Crowd
Collaboration using Conversational AI & Social Platforms”, IJCAI 2019 Workshop on AI for
Social Good, 2020
[4] Jawad Haqbeen, Takayuki Ito, Hadfi, Sahab, Sahab, Amiryar and Nishida “Usage &
application of AI-based discussion facilitation system for city issues and town meeting: Kabul
experimental view”, The 2nd International Workshop on Agent-based Crowd Decision-making
(AgentCrowd2020) in conjunction with AAMAS2020, Auckland, New Zealand. May 9, 2020
[5] Jawad Haqbeen, Takayuki Ito, Rafik Hadfi, Zoia Sahab, Sofia Sahab, Ramin Amiryar, and
Tomohiro Nishida. “Usage & application of AI-based discussion facilitation system for urban
renewal in selected districts of Kabul city: Afghanistan Experimental View”, The Japanese
Society for Artificial Intelligence (JSAI2020), Kumamoto, Japan. June 9-12, 2020

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Jawad

  • 1. 1 Promoting Discussion with Collective Intelligence HAQBEEN JAWAD Nagoya Institute of Technology 自己紹介 is a Ph.D. student at Nagoya Institute of Technology, Japan. He received his B.Sc. and M.Sc. in Computer Sciences from Nangarhar University (AFG) and Waseda University (Japan) in 2010 and 2013, respectively. His research interest includes Civic Tech, AI for Social Good, Knowledge-based Software Engineering, Crowd-AI collaboration, Internet of People and Conversational AI systems. 研究概要 My research is about promoting discussion for social good, and studying methods to analyze gathered opinion to extract valuable insights in collective intelligence. We are using conversational agent platform with NLP and mining technologies as a key method to facilitate social discussion and extract real-world data. First, we want to extend the impact of AI outside of Lab zone and give people the chance to discuss about their social issues and its solution. Second, we want to promote the contribution of socially-aware AI for the good of society. Also, we want to verify the impact of such works on the real situation in the ground knowing the context where it has been performed such as AI for city planning and AI for Public Health. Notably, we are working in Collaboration with Kabul Municipality and Ministry of Public Health to promote citizens participation as a (I-A-G) Collaboration.
  • 2. 2 References [1] Jawad Haqbeen, Takayuki Ito, Sofia Sahab, Takumi Sato, Shun Okuhara and Murtaza Hofaini,. “Insights from a Large-Scale Discussion on COVID-19 in Collective Intelligence”. The 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT ‘20) [2] Jawad Haqbeen, Takayuki Ito, Rafik Hadifi, Tomohiro Nishida, Zoia Sahab, Sofia Sahab, Shafiq Roghmal and Ramin Amiryar, “Promoting Discussion with AI-based Facilitation: Urban Dialogue with Kabul City”. The 8th ACM Collective Intelligence 2020, Boston-Copenhagen, June 18-19, 2020 [3] Jawad Haqbeen, Takayuki Ito, Sofia Sahab, Rafik Hadfi, Shun Okuhara, Nasim Saba, Murtaza Hofaini and Umar Baregzai “A Contribution to COVID-19 Prevention through Crowd Collaboration using Conversational AI & Social Platforms”, IJCAI 2019 Workshop on AI for Social Good, 2020 [4] Jawad Haqbeen, Takayuki Ito, Hadfi, Sahab, Sahab, Amiryar and Nishida “Usage & application of AI-based discussion facilitation system for city issues and town meeting: Kabul experimental view”, The 2nd International Workshop on Agent-based Crowd Decision-making (AgentCrowd2020) in conjunction with AAMAS2020, Auckland, New Zealand. May 9, 2020 [5] Jawad Haqbeen, Takayuki Ito, Rafik Hadfi, Zoia Sahab, Sofia Sahab, Ramin Amiryar, and Tomohiro Nishida. “Usage & application of AI-based discussion facilitation system for urban renewal in selected districts of Kabul city: Afghanistan Experimental View”, The Japanese Society for Artificial Intelligence (JSAI2020), Kumamoto, Japan. June 9-12, 2020