Talks & Panel Discussions
BEYOND THE FRAME: image in action
On the occasion of the 2020 edition of the World Philosophy Day organized by UNESCO, artists and photographers from the exhibition Beyond the Frame: Image in Action, alongside Mémoire de l’Avenir curators and invited scholars, participated in the discussion on the roles of images within today's global society.
SPEAKERS:
Mila Ovchinnikova
Founder and director of L'AiR Arts.
Margalit Berriet
Founder and director of Mémoire de l’Avenir
Co-director of Humanities, Arts and Society
Marie-Cécile Berdaguer
Head of exhibitions and communication at Mémoire de l’Avenir
Project manager of Humanities, Arts and Society
Raina Lampkins-Fielder
Curator and cultural programmer. She currently serves as a curator for the Souls Grown Deep Foundation the Atlanta-based nonprofit that documents, preserves, and showcases art by African-American artists of the American South.
Klaus Fruchtnis
Artist, researcher and educator. His projects involve art, technology, cultural, social and political aspects. He is associate Dean of Graduate Studies and Chair of Photography / Transdisciplinary New Media departments at Paris College of Art.
With the resident artists:
Barbara Boissevain - USA
Candice Inc - USA
Chris Lashbrook - Canada
Chris Lee - UK
Peggy Stevenson - Philippines / USA
Sofyan Syamsul – Indonesia
For more information, please visit the event page and the exhibition page
Postponed
Networks and Novelty: Drivers of Artists' Fame
by Mitali Banerjee, Assistant Professor, Strategy & Business Policy Division, HEC Paris
Presented as part of the Open Studio event for the Drawing Research Residency
Dr. Mitali Banerjee studies the relationship between fame, creativity and social networks in creative industries. As part of this research, she examines how innovator's social networks shape how well-known they are beyond their peers. In related research she is examining, how producers' reputation among their peers shapes the amount of attention they receive in mainstream press. Her research combines cutting edge tools in machine learning with unique empirical contexts – modern art, jazz and more recently executive search. Her work with machine learning based measures of novelty has led to her interest in examining organizational principles to combine AI and human evaluations to address some of the historic inequalities in labor markets and uncover new talent. Dr. Banerjee will present the results of her research which combines cutting edge tools in machine learning with unique data on early 20th century artists' social networks, which shows that artists with nationally diverse social networks were more likely to be famous independent of the novelty of their work. In another study, she examines the role of artists' peak and average creativity in shaping their fame.
Mitali Banerjee completed her Ph.D. in Management from Columbia Business School. She graduated Summa Cum Laude, Phi Beta Kappa with a double major in Mathematics (BS) and Economics (BA) from the University of Rochester. Before embarking on her PhD, she worked in investment banking and was a research associate in the Strategy division at Harvard Business School.
Networks and Novelty: Drivers of Artists' Fame
by Mitali Banerjee, Assistant Professor, Strategy & Business Policy Division, HEC Paris
Presented as part of the Open Studio event for the Drawing Research Residency
Dr. Mitali Banerjee studies the relationship between fame, creativity and social networks in creative industries. As part of this research, she examines how innovator's social networks shape how well-known they are beyond their peers. In related research she is examining, how producers' reputation among their peers shapes the amount of attention they receive in mainstream press. Her research combines cutting edge tools in machine learning with unique empirical contexts – modern art, jazz and more recently executive search. Her work with machine learning based measures of novelty has led to her interest in examining organizational principles to combine AI and human evaluations to address some of the historic inequalities in labor markets and uncover new talent. Dr. Banerjee will present the results of her research which combines cutting edge tools in machine learning with unique data on early 20th century artists' social networks, which shows that artists with nationally diverse social networks were more likely to be famous independent of the novelty of their work. In another study, she examines the role of artists' peak and average creativity in shaping their fame.
Mitali Banerjee completed her Ph.D. in Management from Columbia Business School. She graduated Summa Cum Laude, Phi Beta Kappa with a double major in Mathematics (BS) and Economics (BA) from the University of Rochester. Before embarking on her PhD, she worked in investment banking and was a research associate in the Strategy division at Harvard Business School.
