Keynote Speakers

The ECSCW 2017 Opening and Closing Keynotes will be delivered, respectively, by Gloria Origgi and by David A. Shamma.

Gloria Origgi
Institut Nicod – Centre National de la Recherche Scientifique, Paris (France)

origgiSENTGloria Origgi is a philosopher and a social scientist based in Paris, Institut Nicod (ENS-EHESS).

She has been trained in Philosophy, Logic and Cognitive Science at the University of Milano and at the CREA, Ecole Polytechnique, Paris.

In her research work she tries to understand the impact of social relations and institutions on knowledge processes. She has worked extensively on the evaluation of knowledge and science. She is member of two advisory boards at the European Commission for Horizon 2020 strategy: Future and Emerging Technologies and Gender.

She has taught in France, Italy, Brazil, and is regularly invited in many institutions in United States, England and Germany. Her last book is: Reputation: What it is and Why it Matters (Princeton University Press, 2017). She also works on the epistemology of gender and its applications to social cognition.
She is also involved in research on Epistemic Democracy. Her research work has been covered by many newspapers and media such as The Financial Times, The Guardian, Le Monde, BBC, France Culture.

Keynote Talk: Why Do We Use Social Media? Social Ego and the Management of Reputation
Abstract: People use social media for two primary reasons: (i) to connect with others; and (ii) to manage the impression they make on others. The time investment of managing our reputation online is a sign of the importance of our social image as a primary motive of our action. In this talk I will present a definition of reputation and its application to online reputation and will stress the importance of analysing social media data in social and cognitive research to understand the human mind and its motivations.

David A. Shamma
FX Palo Alto Laboratory (USA)

Shamma web

Dr. David A. Shamma is a senior research scientist at FX Palo Alto Laboratory (FXPAL). Prior to FXPAL, he was a principal investigator at Centrum Wiskunde & Informatica (CWI) where he led a project on Artificial Intelligence (AI), wearables, and fashion. Before CWI, he was the founding director of the HCI Research Group at Yahoo Labs and Flickr.

He investigates social computing systems (how people interact, engage, and share media experiences both online and in-the-world) through three avenues: AI, systems & prototypes, and qualitative research; his goal is to create and understand methods for media-mediated communication in small environments and at web scale.

Ayman holds a B.S./M.S. from the Institute for Human and Machine Cognition at The University of West Florida and a Ph.D. in Computer Science from the Intelligent Information Laboratory at Northwestern University. He has taught courses at the Medill School of Journalism and also in many Computer Science and Studio Art departments. Prior to his Ph.D., he was a visiting research scientist in the Center for Mars Exploration at NASA Ames Research Center. Ayman’s research on technology and creative acts has attracted international attention from Wired, New York Magazine, and the Library of Congress to name a few. Outside of the lab, Ayman’s media art installations have been reviewed by The New York Times and Chicago Magazine and exhibited internationally, including the Amsterdam Dance Event, Second City Chicago, the Berkeley Art Museum, SIGGRAPH, Chicago Improv Festival, and Wired NextFest/NextMusic.

Keynote Talk: AI as a promise. AI as a practice. AI as HCI.
Abstract:
Modern Artificial Intelligence (AI) fuels our online social systems, however it is not a monolithic construct. AI comprises multiple approaches and techniques while it recommends articles to us, glams up our selfies, decides what we should or shouldn’t see, and picks who we should or shouldn’t talk to.  Both successes and failures of AI techniques the past few years reveal a disconnect in how we research, engineer, and use social computing systems. In this talk, I will highlight the struggle of promise versus practice in Social Computing AI and how HCI research will be the key to addressing these challenges.

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