Promoting a sustainable, inclusive and comprehensive
framework for the use of AI that delivers global benefit.
Speakers
Manuel Garcia Herranz
UNICEF
Dr. Manuel García-Herranz is Chief Scientist at UNICEF’s Office of Innovation and ICT’s Big Data, Data Science and AI initiative. At UNICEF he focuses on bridging the gap between Data Science and the most vulnerable, exploring how to apply Big Data, Complex Systems theory, and Artificial Intelligence to help the most deprived and invisible. Fields of application include growing humanitarian problems such as epidemics, natural disasters, and migration as well as transversal issues such as poverty, data representativeness and algorithmic equity. Manuel holds a PhD in computer science from the Universidad Autonoma de Madrid.
Celia Cintas
IBM Research - Africa
Dr Celia Cintas is a Research Scientist at IBM Research Africa - Nairobi, Kenya.
She is a member of the AI Science team at the Kenya Lab. Her current research focus on improvement of ML techniques to address challenges on Global Health in developing countries.
Previously, grantee from National Scientific and Technical Research Council (CONICET) working on Deep Learning and Geometrics Morphometrics for populations studies at IPCSH-CONICET (Argentina) as part of the Consortium for Analysis of the Diversity and Evolution of Latin America (CANDELA). During her PhD she was a visitor researcher at University College of London (UK).
Nathalie Munyampenda
Next Einstein Forum
Nathalie Munyampenda is the Managing Director of the Next Einstein Forum (NEF), an initiative of the African Institute for Mathematical Sciences (AIMS). The NEF is driving Africa’s scientific agenda through the premier science and innovation conference as well as providing key foresight to African governments and businesses on how to prepare the Fourth Industrial Revolution. Nathalie is Editor-in-chief of the NEF’s public magazine, Scientific African Magazine.
Nathalie is a passionate advocate for science-driven innovation and tech transfer as a means for industrialization and job creation in Africa.
Stefaan Verhulst
GovLab
Stefaan G. Verhulst is Co-Founder and Chief Research and Development Officer of the Governance Laboratory @NYU (GovLab) where he is responsible for building a research foundation on how to transform governance using advances in science and technology. He is the Curator and Editor of the Living Library and The Digest. Verhulst’s latest scholarship centers on how technology can improve people’s lives and the creation of more effective and collaborative forms of governance. Specifically, he is interested in the perils and promise of collaborative technologies and how to harness the unprecedented volume of information to advance the public good.
Speakers
Manuel Garcia Herranz
UNICEF
Dr. Manuel García-Herranz is Chief Scientist at UNICEF’s Office of Innovation and ICT’s Big Data, Data Science and AI initiative. At UNICEF he focuses on bridging the gap between Data Science and the most vulnerable, exploring how to apply Big Data, Complex Systems theory, and Artificial Intelligence to help the most deprived and invisible. Fields of application include growing humanitarian problems such as epidemics, natural disasters, and migration as well as transversal issues such as poverty, data representativeness and algorithmic equity. Manuel holds a PhD in computer science from the Universidad Autonoma de Madrid.
Celia Cintas
IBM Research - Africa
Dr Celia Cintas is a Research Scientist at IBM Research Africa - Nairobi, Kenya.
She is a member of the AI Science team at the Kenya Lab. Her current research focus on improvement of ML techniques to address challenges on Global Health in developing countries.
Previously, grantee from National Scientific and Technical Research Council (CONICET) working on Deep Learning and Geometrics Morphometrics for populations studies at IPCSH-CONICET (Argentina) as part of the Consortium for Analysis of the Diversity and Evolution of Latin America (CANDELA). During her PhD she was a visitor researcher at University College of London (UK).
Nathalie Munyampenda
Next Einstein Forum
Nathalie Munyampenda is the Managing Director of the Next Einstein Forum (NEF), an initiative of the African Institute for Mathematical Sciences (AIMS). The NEF is driving Africa’s scientific agenda through the premier science and innovation conference as well as providing key foresight to African governments and businesses on how to prepare the Fourth Industrial Revolution. Nathalie is Editor-in-chief of the NEF’s public magazine, Scientific African Magazine.
Nathalie is a passionate advocate for science-driven innovation and tech transfer as a means for industrialization and job creation in Africa.
Stefaan Verhulst
GovLab
Stefaan G. Verhulst is Co-Founder and Chief Research and Development Officer of the Governance Laboratory @NYU (GovLab) where he is responsible for building a research foundation on how to transform governance using advances in science and technology. He is the Curator and Editor of the Living Library and The Digest. Verhulst’s latest scholarship centers on how technology can improve people’s lives and the creation of more effective and collaborative forms of governance. Specifically, he is interested in the perils and promise of collaborative technologies and how to harness the unprecedented volume of information to advance the public good.
Speakers
Manuel Garcia Herranz
UNICEF
Dr. Manuel García-Herranz is Chief Scientist at UNICEF’s Office of Innovation and ICT’s Big Data, Data Science and AI initiative. At UNICEF he focuses on bridging the gap between Data Science and the most vulnerable, exploring how to apply Big Data, Complex Systems theory, and Artificial Intelligence to help the most deprived and invisible. Fields of application include growing humanitarian problems such as epidemics, natural disasters, and migration as well as transversal issues such as poverty, data representativeness and algorithmic equity. Manuel holds a PhD in computer science from the Universidad Autonoma de Madrid.
Celia Cintas
IBM Research - Africa
Dr Celia Cintas is a Research Scientist at IBM Research Africa - Nairobi, Kenya.
She is a member of the AI Science team at the Kenya Lab. Her current research focus on improvement of ML techniques to address challenges on Global Health in developing countries.
Previously, grantee from National Scientific and Technical Research Council (CONICET) working on Deep Learning and Geometrics Morphometrics for populations studies at IPCSH-CONICET (Argentina) as part of the Consortium for Analysis of the Diversity and Evolution of Latin America (CANDELA). During her PhD she was a visitor researcher at University College of London (UK).
Nathalie Munyampenda
Next Einstein Forum
Nathalie Munyampenda is the Managing Director of the Next Einstein Forum (NEF), an initiative of the African Institute for Mathematical Sciences (AIMS). The NEF is driving Africa’s scientific agenda through the premier science and innovation conference as well as providing key foresight to African governments and businesses on how to prepare the Fourth Industrial Revolution. Nathalie is Editor-in-chief of the NEF’s public magazine, Scientific African Magazine.
Nathalie is a passionate advocate for science-driven innovation and tech transfer as a means for industrialization and job creation in Africa.
Stefaan Verhulst
GovLab
Stefaan G. Verhulst is Co-Founder and Chief Research and Development Officer of the Governance Laboratory @NYU (GovLab) where he is responsible for building a research foundation on how to transform governance using advances in science and technology. He is the Curator and Editor of the Living Library and The Digest. Verhulst’s latest scholarship centers on how technology can improve people’s lives and the creation of more effective and collaborative forms of governance. Specifically, he is interested in the perils and promise of collaborative technologies and how to harness the unprecedented volume of information to advance the public good.
Why attend?
TRAIF2020 is your chance to:
- Discuss the most relevant and pressing issues relating to responsible AI
- Connect with other experts
- Share stories, research & practical applications
- Help create a sustainable, inclusive and comprehensive framework for AI
Showcase your work!
Submit proposals to:
- Present your research
- Workshop your company‘s ideas
-
Organise roundtables to discuss issues
that matter to you -
Share your vision of responsible,
human-centred AI
Join the Expo!
Do you want to show your company‘s most cutting edge AI solutions?
Does your company want to share its ideas and visions for a future with sustainable, fair and transparent AI?
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Venue
Holiday Inn Munich City Centre
Hochstr. 3
81669 Munich
T: +49 89 4803-0
https://www.hi-hotel-muenchen.de