Science and Technology
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Abstract: China’s participation in venture deals financing is at a record level of 10-16% of all venture deals (2015-2017) and has grown quite rapidly in the past seven years.  Technologies where Chinese firms are investing are foundational to future innovation:  artificial intelligence, autonomous vehicles, augmented/virtual reality, robotics and blockchain technology. Moreover, since these technologies are dual use--designed for commercial use but also equally applicable for military applications, these are some of the same technologies of interest to the U.S. Defense Department.  

Investing is itself only a piece of a larger story of massive technology transfer from the U.S. to China. China has a long-term, systematic effort to attain global leadership in many industries, partly by transferring leading-edge technologies from around the world.

U.S. military superiority since World War II has relied on both U.S. economic scale and technological superiority. If we allow China access to these same technologies concurrently, then not only may we lose our technological superiority but we may even be facilitating China’s technological superiority. 

Speaker bio: Michael Brown is a White House Presidential Innovation Fellow in the U.S. Defense Department. He is the co-author of a Pentagon study on China’s participation in the U.S. venture ecosystem which served as key input for the proposed Foreign Investment Risk Review Modernization Act (FIRRMA) being reviewed with bipartisan support by both the House and Senate.

Michael is the former CEO of Symantec Corporation, the global leader in cybersecurity and the world’s 10th largest software company with revenues of $4 billion and more than 10,000 employees worldwide. During his tenure as CEO, Michael led a turnaround as the company developed a new strategy focusing on its security business.

Michael is the former Chairman & CEO of Quantum, a leader in the computer storage industry specializing in backup and archiving products. After leaving Quantum, Michael served as Chairman of EqualLogic, a storage array company. 

He serves on the Board of Trustees of the Berklee College of Music in Boston, received his BA degree in economics from Harvard University in 1980 and his MBA degree from Stanford University in 1984.  

Michael Brown U.S. Department of Defense
Seminars
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Abstract: In this talk, based on his new book “Experience on Demand: What Virtual Reality is, How it Works, and What it Can Do,” Bailenson draws upon two decades spent researching the psychological effects of virtual reality (VR) to help people understand this powerful new tool. ​He describes the profound ways this technology can be put to use—not to distance ourselves from reality, but to enrich our lives and influence us to treat others, the environment, and ourselves better.

Speaker Bio: Jeremy Bailenson is founding director of Stanford University’s Virtual Human Interaction Lab, Thomas More Storke Professor in the Department of Communication, Professor (by courtesy) of Education, Professor (by courtesy) Program in Symbolic Systems, a Senior Fellow at the Woods Institute for the Environment, and a Faculty Leader at Stanford’s Center for Longevity. He earned a B.A. cum laude from the University of Michigan in 1994 and a Ph.D. in cognitive psychology from Northwestern University in 1999. He spent four years at the University of California, Santa Barbara as a Post-Doctoral Fellow and then an Assistant Research Professor.

Bailenson studies the psychology of Virtual Reality (VR), in particular how virtual experiences lead to changes in perceptions of self and others. His lab builds and studies systems that allow people to meet in virtual space, and explores the changes in the nature of social interaction. His most recent research focuses on how VR can transform education, environmental conservation, empathy, and health.

He consults pro bono on VR policy for a wide variety of government agencies, has published numerous papers and opinion pieces, and has produced three VR documentary experiences which were official selections at the Tribeca Film Festival in 2016 and 2017. His new book, “Experience on Demand” will be published by Norton in January.

Jeremy Bailenson Professor of Communication Stanford University
Seminars
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Abstract: As the orbital space around earth becomes increasingly crowded, there is an increasing need to capture and manipulate objects ranging from satellites and antennas to “uncooperative” space debris. Robots have been proposed as a solution for clearing debris and manipulating objects in space. However, many of the traditional techniques used for robotic grasping and manipulation will not work. Gecko-inspired adhesives are promising technology, as they work in vacuum, at high and low temperatures, and do not require special hand-holds or other fixtures. Tests in microgravity and in the International Space station have shown that “gecko grippers” are a viable option for eliminating space debris in low Earth orbit and for enhancing missions in space.

Speaker Bio: Professor Mark Cutkosky applies analyses, simulations, and experiments to the design and control of robotic hands, tactile sensors, and devices for human/computer interaction. In manufacturing, his work focuses on design tools for rapid prototyping.

Mark Cutkosky Professor Department of Mechanical Engineering, Stanford University
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Abstract: We live in a world where the risks from a changing climate are clear. New research highlights the magnitude of the risks and the benefits of rapid, ambitious action. We also live in a world where the technologies for addressing climate change, for limiting the amount of climate change that occurs and for dealing as effectively as possible with the changes that cannot be avoided, are increasingly mature, affordable, and rich with co-benefits. In many ways and in many places, progress in deploying solutions is dramatic. But worldwide, progress is much slower than it needs to be, if we are to avoid the worst impacts. We need to find a global accelerator pedal for climate solutions. Key enablers include steps to level the economic playing field, government investments to drive down the costs and risks of technology solutions, and novel mechanisms to spur international collaboration.

Speaker Bio: Chris Field is the Perry L. McCarty Director of the Stanford Woods Institute for the Environment and Melvin and Joan Lane Professor for Interdisciplinary Environmental Studies. His research focuses on climate change, ranging from work on improving climate models, to prospects for renewable energy systems, to community organizations that can minimize the risk of a tragedy of the commons. Field was the founding director of the Carnegie Institution’s Department of Global Ecology, a position he held from 2002 to 2016. He was co-chair of Working Group II of the Intergovernmental Panel on Climate Change from 2008-2015, where he led the effort on the IPCC Special Report on “Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation”  (2012) and the Working Group II contribution to the IPCC Fifth Assessment Report (2014) on Impacts, Adaptation, and Vulnerability. His widely cited work has earned many recognitions, including election to the US National Academy of Sciences, the Max Planck Research Award, and the Roger Revelle Medal.

William J. Perry Conference Room

Encina Hall, 2nd floor

616 Serra Street

Stanford, CA 94305

Chris Field Professor for Interdisciplinary Environmental Studies Woods Institute for the Environment, Stanford University
Seminars
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Abstract: As a potential measure of mitigating the contribution of fossil fuel emissions to global warming, carbon dioxide (CO2) capture and storage (CCS) entails capturing CO2 from from large industrial sources, compressing it to a dense supercritical form (scCO2), injecting it deep into suitable reservoirs, and storing it permanently. After 20+ years of research on CCS, including various applied studies involving pilot and demonstration projects, many stakeholders believe that the world is now ready to move from demonstration to industrial-scale implementation. Yet many hurdles remain, ranging from mostly technical nature to economic and public perception issues. This talk provides a broad overview of the decades of research on CO2 and discusses what has been learned versus what challenges remain. The presentation also elaborates on California as an interesting example for the complicated road to deployment at scale, as ambitious climate goals and generous carbon credits should provide for project economics to work, yet no California CCS project has materialized to date.

Speaker Bio: Jens Birkholzer is an internationally recognized expert in subsurface energy applications and environmental impact assessment. He is a Senior Scientist at the Lawrence Berkeley National Laboratory (LBNL, Berkeley Lab) in Berkeley, California, and currently serves as the Director for the Energy Geosciences Division (EGD) at LBNL. He received his Ph.D. in water resources, hydrology, and soil science from Aachen University of Technology in Germany in 1994. Jens joined LBNL in 1994, left for a management position in his native Germany in 1999, and eventually returned to LBNL in 2001. He has over 400 scientific publications, about 125 of which are in peer-reviewed journals, in addition to numerous research reports. He serves as the Associate Editor of the International Journal of Greenhouse Gas Control (IJGGC) and is also on the Board of Editorial Policy Advisors for the Journal of Geomechanics for Energy and Environment (GETE). Jens leads the international DECOVALEX Project as its Chairman, is a Fellow of the Geological Society of America, and serves as a Senior Fellow of the California Council on Science and Technology.

William J. Perry Conference Room

Encina Hall, 2nd floor

616 Serra Street

Stanford, CA 94305

Jens Birkholzer Lawrence Berkeley National Laboratory
Seminars
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Abstract: Artificial intelligence (AI) is rapidly improving. The opportunities are tremendous, but so are the risks. Existing and soon-to-exist capabilities pose several plausible extreme governance challenges. These include massive labor displacement, extreme inequality, an oligopolistic global market structure, reinforced authoritarianism, shifts and volatility in national power, and strategic instability. Further, there is no apparent ceiling to AI capabilities, experts envision that superhuman capabilities in strategic domains will be achieved in the coming four decades, and radical surprise breakthroughs are possible. Such achievements would likely transform wealth, power, and world order, though global politics will in turn crucially shape how AI is developed and deployed. The consequences are plausibly of a magnitude and on a timescale to dwarf other global concerns, leaders of governments and firms are asking for policy guidance, and yet scholarly attention to the AI revolution remains negligible. Research is thus urgently needed on the AI governance problem: the problem of devising global norms, policies, and institutions to best ensure the beneficial development and use of advanced AI.

This problem can be broken into three complementary research clusters:

  1. The technical landscape: What are the trends and possibilities in AI capabilities? What are their likely consequences? What are the externalities from AI, and how can they best be addressed?
  2. AI politics: Who are the relevant actors, what are their interests, and what can they do? What is the nature of the conflict and cooperation challenges that they are likely to face? How can they overcome dangerous conflictual dynamics, in particular an international arms race?
  3. AI governance: Given our understanding of the technical landscape and AI politics, what options are available to us for global governance of AI and what should we work towards?

 

Work on the AI governance problem must draw on the full body of social science and policy expertise. Solutions are needed by an unknown, but plausibly impending, deadline.

Speaker Bio: Allan Dafoe is an Assistant Professor of Political Science at Yale University and a Research Associate at the Future of Humanity Institute, University of Oxford. His research seeks to understand the causes of world peace and stability. Specifically, his research has examined the causes of the liberal peace, and the role of reputation and honor as motives for war. He develops methodological tools and approaches to enable more transparent, credible causal inference. Allan is beginning research on the international politics of transformative artificial intelligence.

William J. Perry Conference Room

Encina Hall, 2nd floor

616 Serra Street

Stanford, CA 94305

Allan Dafoe Assistant Professor of Political Science Yale University
Seminars
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Abstract: Over decades, assessment by the Intergovernmental Panel on Climate Change and many others has bolstered understanding of the climate problem: unequivocal warming, pervasive impacts, and serious risks from continued high emissions of heat-trapping gases. Societies are increasingly responding with early actions to decarbonize energy systems and prepare for impacts. In this emerging era of climate solutions, new assessment opportunities arise. They include learning from ongoing real-world experiences and helping close the gap between aspirations and the pace of progress. Against this backdrop, I will consider core challenges in assessment, in particular: (1) integrating diverse evidence; (2) applying rigorous expert judgment; and (3) deeply embedding interactions between experts and decision-makers. Examples span climate risks and portfolios of mitigation and adaptation responses. For climate and broader global change, the presentation will explore how transparent, high-traction assessment can support decisions about contested and uncertain futures. 

About the Speaker: Katharine Mach is a Senior Research Scientist at Stanford University, an Adjunct Assistant Professor at Carnegie Mellon University, and a Visiting Investigator at the Carnegie Institution for Science. She leads the Stanford Environment Assessment Facility (SEAF). From 2010 until 2015, Mach co-directed the scientific activities of Working Group II of the Intergovernmental Panel on Climate Change, which focuses on impacts, adaptation, and vulnerability. This work culminated in the IPCC’s Fifth Assessment Report and its Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. Mach received her PhD from Stanford University and AB from Harvard College.

What next for climate? Assessing the risks and the options
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Katharine J. Mach Senior Research Scientist Stanford University
Seminars
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Abstract: In 2015 nations agreed to the Sustainable Development Goals, including ending poverty, protecting the planet, and ensuring prosperity for all. To accomplish them, we need to find synergies across the seventeen goals. Fortunately, some co-benefits are clear.  Cutting greenhouse gas emissions does much more than fight climate change.  It saves water and improves water quality. It saves lives, too, as witnessed by the ~20,000 or more people who die from coal pollution each year in the United States, with a million more people worldwide. The low-carbon economy will help stabilize national security, create net jobs, and more.

About the Speaker: Rob Jackson is Douglas Provostial Professor and Chair of the Earth System Science Department at Stanford University and a Senior Fellow in Stanford's Woods Institute for the Environment and Precourt Institute for Energy (jacksonlab.stanford.edu).  As an environmental scientist, he chairs the Global Carbon Project (globalcarbonproject.org), an international organization that tracks natural and anthropogenic greenhouse gas emissions.  His photographs have appeared in many media outlets, including the NY Times, Washington Post, and USA Today, and he has published several books of poetry. Jackson is a Fellow of the American Geophysical Union and the Ecological Society of America and was honored at the White House with a Presidential Early Career Award in Science and Engineering.

Rob Jackson Douglas Provostial Professor and Chair Earth System Science Department, Stanford University
Seminars
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Abstract: Fueled with rapidly growing data sets and with breakthroughs in machine learning, algorithms are informing and often even making decisions that affect all aspects of life. All the way from which news articles we are exposed to and which ads we see to input to sentencing decisions and in the foreseeable future to the life-and-death emergency decisions of our cars. 
 
The centrality of automatic classification brings great utility to individuals, companies and society as a whole. Nevertheless, to unleash the full potential of such algorithms we must address substantial challenges in terms of the privacy of individuals, the protection of individuals from discrimination and the accuracy of the classification algorithms under adversarial manipulations.
 
In this talk, we will discuss some of the insights we learn from recent research in computer science. Specifically, we will discuss surprising connections and differences between privacy, fairness and correctness. We will also discuss the challenges and opportunities in stronger collaborations between computer science and social sciences on these topics.
 
About the Speaker: Omer Reingold is a Professor of Computer Science at Stanford University. Past positions include Samsung Research America, the Weizmann Institute of Science, Microsoft Research, the Institute for Advanced Study in Princeton, NJ, and AT&T Labs. His research is in the Foundations of Computer Science and most notably in Computational Complexity and the Foundations of Cryptography with emphasis on randomness, derandomization and explicit combinatorial constructions. He is an ACM Fellow and among his distinctions are the 2005 Grace Murray Hopper Award and the 2009 Gödel Prize.
Omer Reingold Professor of Computer Science Stanford University
Seminars
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Abstract: The heat generated by semiconductor devices and electronic components is a big problem for a variety of products and systems ranging from radar and satellites to vehicle electronics, smartphones, and servers. “Extreme” is a unifying theme, from nanometer features and 10+ kW chips to severe materials heterogeneity.  In this talk I’ll summarize these challenges and our research progress on breakthrough thermal solutions involving nanoscale heat conduction physics, advanced thermal conduction materials, as well as two phase microfluidic heat sinks.  This presentation will also highlight two decades of collaborations with the semiconductor industry, Silicon Valley startups, and defense companies.  In this talk, I’ll also spend some time introducing you to the Mechanical Engineering department at Stanford.

About the Speaker: Ken Goodson chairs the Mechanical Engineering Department at Stanford University, where he holds the Davies Family Provostial Professorship.  His lab has graduated 40 PhDs, nearly half of whom are professors at schools including MIT, Stanford, and UC Berkeley. Honors include the Kraus Medal, the Heat Transfer Memorial Award, the AIChE Kern Award, and recent named lectureships at MIT, Purdue, and UIUC. Goodson received BS (1989) and PhD (1993) from MIT and is a Fellow with ASME, IEEE, APS, and AAAS. He co-founded Cooligy, which built microfluidic cooling systems for the Apple G5. As Mechanical Engineering Department Vice Chair from 2008-2013, Goodson led faculty recruitment and hiring and continued these efforts from 2013 as ME Chair. These years have brought 15 new faculty into a roster of 40 total, dramatically increasing the scope and depth of the department’s research and teaching and transforming its demographics and diversity.

 

Encina Hall, 2nd floor

Kenneth Goodson Davies Family Provostial Professor Bosch Chairman, Mechanical Engineering Department Davies Family Provostial Professor Bosch Chairman, Mechanical Engineering Department Stanford University
Seminars
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