Presented by the Penn State Center for Socially Responsible Artificial Intelligence (CSRAI), the AI for Social Impact Seminar Series will continue with a talk by Dashun Wang, professor of management and organizations at the Kellogg School of Management and the McCormick School of Engineering at Northwestern University. Wang’s talk, titled “Initial Progress on the Science of Science,” will be held from 2:30 to 3:30 p.m. Friday, Jan. 28, via Zoom.
The Seminar Series brings together researchers and thought leaders from a variety of fields to explore the diverse applications of artificial intelligence for a societal benefit. Through the series, CSRAI aims to inspire new ideas and collaborations and to identify novel approaches that can advance discovery in the field at Penn State and beyond.
All events in the series are free and open to the public. Penn State students, postdoctoral scholars, and faculty with an interest in socially responsible AI applications are encouraged to attend. You can view the full schedule and watch recordings of past events on the CSRAI website.
About “Initial Progress on the Science of Science”
The increasing availability of large-scale datasets that trace the entirety of the scientific enterprise have created an unprecedented opportunity to explore scientific production and reward. Parallel developments in data science, network science, and artificial intelligence offer us powerful tools and techniques to make sense of these millions of data points. Together, they tell a complex yet insightful story about how scientific careers unfold, how collaborations contribute to discovery, and how scientific progress emerges through a combination of multiple interconnected factors. These opportunities – and challenges that come with them – have fueled the emergence of a multidisciplinary community of scientists that are united by their goals of understanding science. These practitioners of the science of science use the scientific methods to study themselves, examine projects that work as well as those that fail, quantify the patterns that characterize discovery and invention, and offer lessons to improve science as a whole. In this talk, Wang will highlight some examples of research in this area, hoping to illustrate the promise of science of science as well as its limitations.
About Dashun Wang
Dashun Wang is a professor of management and organizations at the Kellogg School of Management, and the McCormick School of Engineering, Northwestern University. He is the founding director of the Center for Science of Science and Innovation. He is also a core faculty at the Northwestern Institute on Complex Systems. His current research focus is on Science of Science, a quest to turn the scientific methods and curiosities upon science itself, hoping to use and develop tools from complexity sciences and artificial intelligence to broadly explore the opportunities for innovation and promises of prosperity offered by the recent data explosion in science. His research has been published repeatedly in journals like Nature and Science, and has been featured in virtually all major global media outlets, including The New York Times, Wall Street Journal, The Economist, Bloomberg, Financial Times, The Today Show, Harvard Business Review, The Atlantic, World Economic Forum, Forbes, The Guardian, The Washington Post, and The Boston Globe, among others. Wang is a recipient of multiple awards for his research and teaching, including the AFOSR Young Investigator award, Poets & Quants Best 40 Under 40 Professors, Complex Systems Society’s Junior Scientific Award, Network Science Society’s Erdos-Renyi Award, Thinkers50 Radar List 2021, and more. His first book, The Science of Science, co-authored with Albert- Laszlo Barabasi, was published in March 2021.
About the Center for Socially Responsible Artificial Intelligence
Penn State’s Center for Socially Responsible Artificial Intelligence promotes high-impact, transformative AI research and development, while encouraging the consideration of social and ethical implications in all such efforts. The center supports a broad range of activities from foundational research to the application of AI to all areas of human endeavor.