University of Pittsburgh Leading Meeting on Modeling Complex Systems With AI and Data Science
May 22, 2018 — At every scale, in every domain, from intracellular molecular signaling pathways to global carbon emissions, we need to model complicated systems and their interactions.
Modeling is difficult work, but new technologies from artificial intelligence and data science promise to make it easier and more accurate. Managing systems also is challenging, though the challenges are political, economic and social rather than technical.
The University of Pittsburgh, through its newly formed School of Computing and Information, leads an initiative to enhance the technological and policy aspects of modeling and managing the world’s complicated, interacting systems.
This goal – rational analysis and management of complicated systems – is shared by unusually diverse stakeholders from government, industry, non-profits, foundations and academics. The meeting is therefore a convening of stakeholders, not an academic conference.
The meeting will recognize and mobilize a latent community of diverse stakeholders, and organize a professional society and develop modes of communication; it will survey the state of the art in technologies for modeling and managing complicated systems, and discuss important applications; and it will celebrate the first year of the School of Computing and Information at the University of Pittsburgh.
Learn more: pittmodelingconference.sci.pitt.edu
Monday, May 21 and Tuesday, May 22
Pittsburgh Marriott City Center
112 Washington Place
Pittsburgh, PA 15219
Source: University of Pittsburgh