Our speakers are renowned scholars doing research on the psychology of technology. They are psychologists, organizational behavior scholars, computer scientists, sociologists, and economists. Topics will range from the psychological consequences of technology on communication, coordination, and decision making, to the ways in which technology is transforming the very experience of what it means to be human and find meaning in one's life.
more to come...
Matt Beane, UC Santa Barbara
Matt Beane is an Assistant Professor in the Technology Management Program at the University of California, Santa Barbara and a Research Affiliate with MIT's Institute for the Digital Economy. Matt studies deviance in work involving machine intelligence - and specifically robotics. He asks questions like "When, where and how will workers, organizations and even AI engage in deviance in the 21st century, and what are the consequences?" Matt has done extensive field research on robotic surgery, robotic materials transport, and robotic telepresence in healthcare, elder care and knowledge work.
He received his Ph.D. from the Sloan School of Management at the Massachusetts Institute of Technology in the Information Technologies department. His research on robotic surgery is published in 2018 at Administrative Science Quarterly and his work on robotic telepresence was published in 2014 in Organization Science. He was selected in 2012 as a Human Robot Interaction Pioneer, and is a regular contributor to popular outlets such as Wired, MIT’s Technology Review, TechCrunch, Forbes and Robohub. Matt also took a two-year hiatus from his doctoral studies to help found and fund Humatics, an MIT-connected, full-stack IoT startup.
Angèle Christin, Stanford University
Angèle Christin is an assistant professor in the Department of Communication and affiliated faculty in the Sociology Department and Program in Science, Technology, and Society at Stanford University. She studies how algorithms and analytics transform professional values, expertise, and work practices.
Kevin Crowston, Syracuse University
Kevin Crowston is a Distinguished Professor of Information Science in the School of Information Studies at Syracuse University. He received his Ph.D. (1991) in Information Technologies from the Sloan School of Management, Massachusetts Institute of Technology (MIT).
His research examines new ways of organizing made possible by the extensive use of information and communications technology. Specific research topics include the development practices of Free/Libre Open Source Software teams and work practices and technology support for citizen science research projects, both with NSF support.
He is currently Editor-in-Chief for the journals ACM Transaction on Social Computing and Information, Technology & People.
amir goldberg, Stanford GSB
Professor Goldberg received bachelors’ degrees in Computer Science and Film Studies from Tel Aviv University, and an MA in Sociology from Goldsmith’s College, University of London. Before pursuing a PhD in Sociology at Princeton University, he worked for several years as a software programmer, an IT consultant and a technology journalist. An Associate Professor of Organizational Behavior in Stanford’s Graduate School of Business, his research projects all share an overarching theme: the desire to understand the social mechanisms that underlie how people construct meaning, and consequently pursue action. His work has been published in the American Journal of Sociology, the American Sociological Review, Management Science and the Review of Financial Studies.
Malte Jung, Cornell University
Malte Jung is an Assistant Professor in Information Science at Cornell University and the Nancy H. ’62 and Philip M. ’62 Young Sesquicentennial Faculty Fellow. His research focuses on the intersections of teamwork, robots, and emotion. The goal of his research is to inform our basic understanding of robots in work teams as well as to inform how we design technology to support teamwork across a wide range of settings. Malte Jung received his Ph.D. in Mechanical Engineering from Stanford University. Prior to joining Cornell, Malte Jung completed a postdoc at the Center for Work, Technology, and Organization at Stanford University. He holds a Diploma in Mechanical Engineering from the Technical University of Munich and Ph.D. Minor in Psychology from Stanford University.
Poruz Khambatta, Stanford GSB
Poruz Khambatta is a PhD candidate in Organizational Behavior at Stanford University. He uses tools from social psychology and artificial intelligence to shed light on how people form and manage first impressions. His research has been published in the Proceedings of the National Academy of Sciences as well as the Journal of Experimental Psychology and been featured on CNN, ABC, FOX, and NPR.
Hila Lifshitz-Assaf, New York UNIVERSITY Stern
Hila Lifshitz-Assaf joined New York University Stern School of Business as an Assistant Professor of Information, Operations and Management Sciences in July 2013. She is also a faculty associate at the Berkman Center for Internet and Society at Harvard University.
Professor Lifshitz-Assaf’s research focuses on developing an in-depth empirical and theoretical understanding of the micro-foundations of scientific and technological innovation and knowledge creation processes in the digital age. She explores how the ability to innovate is being transformed, as well as the challenges and opportunities the transformation means for R&D organizations, professionals and their work. She conducted an in-depth 3-year longitudinal field study of NASA’s experimentation with open innovation online platforms and communities, resulting in a scientific breakthrough. Her dissertation received the best dissertation Grigor McClelland Award at the European Group for Organizational Studies (EGOS) 2015.
She investigates new forms of organizing for the production of scientific and technological innovation such as crowdsourcing, open source, open online innovation communities, Wikipedia, hackathons, makeathons, etc. Her work received the prestigious INSPIRE grant from the National Science Foundation and has been presented and taught at a variety of institutions including MIT, Harvard, Stanford, INSEAD, Wharton, London Business School, Bocconi, IESE, UCL, UT Austin, Columbia and Carnegie Mellon. Most recently, she received the Industry Studies Association Frank Giarrantani Rising Star award (2017).
Prior to academia, Professor Lifshitz-Assaf worked as a strategy consultant for seven years, specializing in growth and innovation strategy in telecommunications, consumer goods and finance.
Professor Lifshitz-Assaf earned a doctorate from Harvard Business School, an MBA from Tel Aviv University, magna cum laude, a BA in Management and an LLB in Law from Tel Aviv University, Israel, both magna cum laude.
Sandra Matz, Columbia Business SCHOOL
Sandra Matz is an Assistant Professor in the Management Division at Columbia Business School. Taking a Big Data approach to studying human behavior in a variety of business-related domains, herwork explores the relationships between digital footprints (e.g. Facebook Likes, credit card transactions), people’s psychological characteristics (e.g. their personality), as well as their preferences and choices (e.g. click and purchasing data). More specifically, her research focuses on the following three questions: (1) What can people’s digital footprints tell us about their socio-psychological characteristics? (2) What can people’s digital footprints tell us about the real-life consequences of their unique psychological characteristics? (3) How can insights extracted from people’s digital footprints help individuals and businesses make better decisions?
Andrew Schwartz, STONY BROOK UNIVERSITY
Andrew Schwartz is an Assistant Professor of Computer Science at Stony Brook University (SUNY) and Co-PI of the World Well-Being Project. His interdisciplinary research focuses on large and scalable language analyses for health and social sciences. Utilizing natural language processing and machine learning techniques he seeks to discover new behavioral and psychological factors of health and well-being as manifest through language in social media. From 2012 to 2015, he was Lead Research Scientist for the World Well-Being Project at the University of Pennsylvania, an interdisciplinary team that grew to 15 full-time researchers studying how big language analyses can reveal and predict differences in health, personality, and well-being. He received his PhD in Computer Science from the University of Central Florida in 2011 with research on acquiring lexical semantic knowledge from the Web. His work has been featured in The New York Times, Wired, and The Washington Post.