In celebration of Love Data Week 2026, join ASU Library Researcher Support to learn about Indigenous Data Sovereignty and the ways our library is working together to help communities, students and researchers responsibly engage in data sovereignty.
This panel will provide a general overview of data sovereignty and discuss ways that our library community is working to support data sovereignty.
Etzkowitz and Leydesdorff proposed the triple helical model of innovation (government, industry, and academe) three decades ago. Previously, Vannevar Bush attributed victory in World War II to successful partnerships among the three strands, and proposed that creation of new knowledge through research was a crucial government responsibility. Biomedical research subsequently grew by several orders of magnitude, driven by public investment, transformation of the pharmaceutical and medical device industries, and the emergence of biotechnology.
Be part of ASU Health’s signature speaker series: Grand Rounds, a platform for dynamic discussions on the innovations, breakthroughs and challenges shaping the future of health. Grand Rounds brings together leading experts to explore bold ideas, from cutting-edge research to the use of technology in improving health care at scale.
Join us for a talk by Federico Sanabria, Ph.D., titled Collective Learning and Memory in Animals. Sanabria will explore how groups acquire, store, and use information, and what collective learning reveals about cognition beyond the individual.
Join us for a talk by Joan Silk, PhD, titled The Phylogenetic and Ontogenetic Origins of Prosocial Preferences. Silk will discuss how prosocial behaviors develop across evolutionary history and individual lifespans, offering insight into why and how cooperation emerges in social species.
Join us for a talk by Stephen Pratt, PhD, titled Collective Cognition in Ant Societies. Dr. Pratt will explore how ant colonies make decisions as a group and what these systems can teach us about collective intelligence.
Topological Data Analysis (TDA), a relatively new field at the intersection of mathematics and data science, provides a powerful framework for revealing qualitative structure in complex biological data. At its core, TDA uses concepts from geometry and topology to describe the “shape” of data in a rigorous and interpretable way.
Envisioning and implementing desirable futures requires a deep understanding of developments in science and technology as well as the ability to both simulate and communicate the likely impact of alternative actions. At a time when our relationship to a vulnerable planet Earth is especially important, such a profound awareness of complex, interlinked systems is needed more than ever. Atlas of Forecasts, from the creator of Atlas of Science and Atlas of Knowledge shows how we can use data to map possible futures.
Manfred Laubichler is Global Futures Professor and President's Professor of Theoretical Biology and History of Biology. He is director of the School of Complex Adaptive Systems and the Decision Theater at Arizona State University.
AI is rapidly transforming every aspect of our lives. Join our panel of experts from science, engineering and communication for an engaging discussion of how we can innovate for the future with AI while safeguarding our humanity.
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