Stanford University

Innovation

Artificial Intelligence (AI), Intelligence Augmentation (IA), Human Machine Interfaces (HMI): Frontier Research and Policies for Navigating the Future Together

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The diffusion and deployment of technology is not simply shaped by the technology itself. Complementary technologies are often required to derive value from the technology, and other factors such as business models for which the technology solves significant “pain points.” Business organizations that can harness the set of technologies, along with societal factors such as regulations, employment regimes, demographics, social norms, and political dynamics can critically affect how technologies diffuse.

This conference is centered on the technological development, deployment, and diffusion of various forms of human-machine interfaces. In the morning, it examines technologies utilizing AI, IA, and pushing human-machine interfaces to the next level of commercial development (morning session A). It also introduces frontier research in medical fields and focuses on how a design approach has been effective for how medical products and solutions have been developed (morning session B). In the afternoon, it turns to a discussion of policy dynamics and considerations surrounding the use of AI and IA, particularly in broad societal deployments

This conference is a joint production of the Shorenstein Asia Pacific Research Center (APARC) Japan Program’s Stanford Silicon Valley - New Japan Project, and Japanese venture community, Mistletoe, Inc.

Agenda

*Agenda subject to change

9:00 - 9:30             Registration

9:30 - 9:40             Welcome Remarks

9:40 - 11:00           Morning Session A: Next Generation Human Machine Interfaces: From Science Fiction to Reality to Industrial Deployment

Presentations followed by discussion:

Ryoichi Togashi, Program Director, Komatsu

Andrew Pedtke, Co-founder and CEO, Lim Innovations

Lochlainn Wilson, CEO, SE4

Moderator: Kenji Kushida, Research Scholar, Stanford University

11:00 - 11:15         Break

11:15 - 12:30         Morning Session B: Bio Design and Medical Technologies, and University-Industry Ecosystems

Presentations followed by discussion:

Atsushi Taira, Chief Growth Officer, Mistletoe, Inc.

Gordon Miller Saul, Executive Director,  Stanford Byers Center for Biodesign

Christoph Leuze, Research Scientist, Stanford Radiological Sciences Lab

Pushkar Apte, Director of Strategic Initiatives, CITRIS and the Banatao Institute, UC Berkeley

Moderator: Kenji Kushida, Research Scholar, Stanford University

12:30 - 13:30        Lunch

1:30 - 15:00          Afternoon Discussion: Regulations, politics, and industry dynamic with considerations of accountability and ethics

Presentations followed by discussion:

Kenji Kushida, Research Scholar, Stanford University

Mei Lin Fung, Co-Founder, People-Centered Internet

Rosanna Guadagno, Director, Information Warfare Working Group, Stanford University

Mike Nelson, Head of Public Policy, CloudFlare

Moderator: Jaclyn Selby, Research Scholar, Stanford University

15:00                    Closing Remarks

RSVP REQUIRED

Limited seating available. Seats will be filled on a first come, first serve basis.

RSVP Deadline: May 20, 2019

RSVP link: http://www.stanford-svnj.org/52119conference

Stanford Silicon Valley-New Japan Project

Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans

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Eradicating hunger and malnutrition is a key development goal of the twenty first century. This paper addresses the problem of optimally identifying seed varieties to reliably increase crop yield within a risk-sensitive decision making framework. Specifically, a novel hierarchical machine learning mechanism for predicting crop yield (the yield of different seed varieties of the same crop) is introduced. This prediction mechanism is then integrated with a weather forecasting model and three different approaches for decision making under uncertainty to select seed varieties for planting so as to balance yield maximization and risk. The model was applied to the problem of soybean variety selection given in the 2016 Syngenta Crop Challenge. The prediction model achieved a median absolute error of 235 kg/ha and thus provides good estimates for input into the decision models. The decision models identified the selection of soybean varieties that appropriately balance yield and risk as a function of the farmer’s risk aversion level. More generally, the models can support farmers in decision making about which seed varieties to plant.

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Publication Type
Journal Articles
Publication Date
Journal Publisher
Environment Systems and Decisions
Authors
Huaiyang Zhong, Xiaocheng Li
David Lobell
Stefano Ermon
Margaret Brandeau
External URL

Deep Transfer Learning for Crop Yield Prediction with Remote Sensing Data

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Accurate prediction of crop yields in developing countries in advance of harvest time is central to preventing famine, improving food security, and sustainable development of agriculture. Existing techniques are expensive and difficult to scale as they require locally collected survey data. Approaches utilizing remotely sensed data, such as satellite imagery, potentially provide a cheap, equally effective alternative. Our work shows promising results in predicting soybean crop yields in Argentina using deep learning techniques. We also achieve satisfactory results with a transfer learning approach to predict Brazil soybean harvests with a smaller amount of data. The motivation for transfer learning is that the success of deep learning models is largely dependent on abundant ground truth training data. Successful crop yield prediction with deep learning in regions with little training data relies on the ability to fine-tune pre-trained models.

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Publication Type
Working Papers
Publication Date
Journal Publisher
COMPASS '18 Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies
Authors
Anna Wang
Caelin Tran
Nikhil Desai
David Lobell
Stefano Ermon
External URL

Japan in the Bay Area: From Competition to Collaboration

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The Bay Area Council Economic Institute and the Walter H. Shorenstein Asia-Pacific Research Center Japan Program invite you to a forum on the critical transformations underway in Japan’s economy and the unique synergies that connect it to the Bay Area. The program will include a discussion of the high-level findings of a new report by the Bay Area Council Economic Institute on Japan’s economic engagement in the San Francisco/Silicon Valley Bay Area, and the role the region is playing as California and Japan look to expand trade and investment and accelerate innovation. Leading experts and practitioners from both Japan and the Bay Area will join us for this discussion. 

This event is brought to you by the Shorenstein Asia-Pacific Research Center Japan Program and the Bay Area Council Economic Institute, in cooperation with the Japan Society of Northern California.

 

Agenda

 

1:00pm          Welcome

     Jim Wunderman, President & CEO, Bay Area Council

     Hon. Tomochika Uyama, Consul General of Japan

     Takeo Hoshi, Director, Shorenstein APARC Japan Program

1:10pm          Introduction of Bay Area Council Economic Institute Report: High-Level Findings

     Sean Randolph, Senior Director, Bay Area Council Economic Institute

1:30pm          Observations and Silicon Valley Overview

     Kenji Kushida, Research Scholar, Stanford University

1:45pm          Panel 1: The Emerging New Japan 

     Kanetaka Maki, Associate Professor, Waseda Business School

     Mio Takaoka, CFO, Medical Note and Partner, Arbor Ventures

     Takeshi Ebihara, Founding GP, Rebright Partners

     Emre Yuasa, Principal, Globis Capital Partners

     Sean Randolph, Senior Director, Bay Area Council Economic Institute (Moderator)

2:45pm          Panel 2: Japanese Companies in Silicon Valley Creating Value in New Ways

     Hiroshi Menjo, Managing Partner, Net Service Ventures

     Tsunehiko Yanagihara, Executive VP, Mitsubishi Corp M-LAB

     Gen Isayama, General Partner & CEO, World Innovation Lab

     Dennis Clark, Managing Director, Honda Innovations

     George Saikalis, SVP & CTO, Hitachi America, Ltd.

     Kenji Kushida, Research Scholar, Stanford University (Moderator)

4:00pm         Closing Remarks 

Bechtel Conference Center
Encina Hall
616 Serra Mall, Stanford, CA 94305

Panel Discussions
Stanford Silicon Valley-New Japan Project

HOW DOES VENTURE CAPITAL WORK AND HOW DO JAPANESE CORPORATIONS LEVERAGE VENTURE CAPITAL?

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Since its establishment, DNX Ventures (formerly Draper Nexus Ventures) has acted as a bridge between growing Silicon Valley businesses and large Japanese firms. Since 2011, DNX Ventures has created more than 100 partnerships between its portfolio companies and its over 25 large Japanese corporate LPs. During this seminar, Managing Director of DNX Ventures Hiro Rio Maeda will extrapolate from his over 15 years of experience in both corporate venture capital and venture capital and extensive experience working with both startups and large Japanese corporations to discuss the basics of venture capital, and how Japanese corporations leverage venture capital to push forward open innovation initiatives. From a VC perspective: how are decisions about strategic investments made? How does money flow? What ratio of successful investments to non-successful investments do VCs aim for? From a large Japanese corporate perspective: how do large Japanese firms use VC to achieve open innovation goals? What are some of the obstacles to Japanese large firm-startup partnerships, and what are some of the ways to overcome these challenges? Maeda will answer these questions and more, as well as share examples of successful partnerships and large Japanese firms that are successfully harnessing Silicon Valley to further open innovation efforts.  

SPEAKER:

Hiro Rio Maeda, Managing Director, DNX Ventures (formerly Draper Nexus)

BIO:

Hiro Rio Maeda is a Managing Director at venture capital firm DNX Ventures (formerly Draper Nexus). Rio focuses on investing in innovative companies in Cyber Security, mobile, storage, and retail tech area that could work on a global scale. His portfolio companies include Cylance, SafeBreach, JASK, vArmour, AppDome, Ayasdi, Remotium, Klout, Fyde, JoyMode, and Hom.ma. 

Prior to joining DNX Ventures (formerly Draper Nexus), Rio spent six years at Globespan Capital Partners where he had put his resource on both investment and business development of Japan/US portfolio companies. Palo Alto Networks(NYSE: PANW) was a good example portfolio company that he took a lead on taking them to the Japanese market.

Prior to Globespan, Rio spent seven years at Sumitomo Corporation, a Japanese conglomerate trading company in which he had built expertise his international business skill in IT technologies and consumer web services in Tokyo and his capitalist career at Presidio Ventures (Sumitomo’s corporate venture capital arm) in Santa Clara.Japanese conglomerate trading company in which he had built expertise his international business skill in IT technologies and consumer web services in Tokyo and his capitalist career at Presidio Ventures (Sumitomo’s corporate venture capital arm) in Santa Clara.

AGENDA:

4:15pm: Doors open
4:30pm-5:30pm: Talk and Discussion
5:30pm-6:00pm: Networking

RSVP REQUIRED:

Register to attend at http://www.stanford-svnj.org/22819-public-forum

For more information about the Silicon Valley-New Japan Project please visit: http://www.stanford-svnj.org/

 

Hiro Rio Maeda, Managing Director, DNX Ventures (formerly Draper Nexus)
Seminars
Stanford Silicon Valley-New Japan Project

A New Approach to Economic Development

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Abstract

From the point of view of institutional economics, growth is related to the implementation and enforcement of property rights. The system that emits, and enforces those rights needs to have very low transactions costs leading to the least possible frictions. The lowest the transactions costs the highest the level of security of investment, as well as the benefits of direct and indirect socioeconomic impacts. However, traditional economic development models do not focus on transactions costs and property rights systems, both of which seem to be the suspects for low productivity, slow growth, and informality. Many developing countries suffer from systems of property rights that are unpredictable because they are inundated with overwhelming bureaucracy, difficult to follow, track, and measure. The speaker has developed a methodology to best diagnose the reasons why a country has such high transactions costs and how to reduce them systematically. This diagnostic method is called Reality Check Analysis (RCA) and its outcomes allow for the best design of policy reforms and strategic application. The presentation will focus on the theoretical definition of the problem, the analysis of Reality Check Analysis, its application and important results measured through a socioeconomic 3,000 household survey. This survey presented the direct benefits of applying a simple property rights system to investment, savings, property values, trust, child labor, to mention a few.

Speaker Bio

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Elena Panaritis until recently served as a senior economic advisor, handling the Euro and Greek Economic Crisis, to two Greek Governments (2009; 2015). In 2015 she also served as the Special Envoy for Negotiating the Greek Sovereign debt and lending program of Greece. Elena worked directly with 3 Greek Prime Ministers and the Minister of Finance, as well as EU and IMF high-level officials, lenders to Greece. In 2015 she was appointed the Alternate Director to the IMF of Italy, Greece, Portugal, Malta, Albania and San Marino, from which position she resigned the same year after strong political pressures. In 2009 she was appointed honorary Member of the Hellenic Parliament until 2012. She is the founder of Panel Group, a triple-bottom-line business that focuses in the informal sector, transforming the wealth base of poor property holders, to proud middle class owners. She has also founded Thought4Action, an Action Tank that works as an educational foundation to create awareness and calls for action, about transforming countries under solvency, economic crisis and informality. Elena Panaritis has taught economic development, housing finance and property markets reform courses at the Wharton Business School, University of Pennsylvania, INSEAD, and the Johns Hopkins University- School of Advanced International Studies (SAIS).

Elena Panaritis Founder and CEO Thought 4 Action - Panel Group
Seminars

Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques

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Crop type mapping at the field level is necessary for a variety of applications in agricultural monitoring and food security. As remote sensing imagery continues to increase in spatial and temporal resolution, it is becoming an increasingly powerful raw input from which to create crop type maps. Still, automated crop type mapping remains constrained by a lack of field-level crop labels for training supervised classification models. In this study, we explore the use of random forests transferred across geographic distance and time and unsupervised methods in conjunction with aggregate crop statistics for crop type mapping in the US Midwest, where we simulated the label-poor setting by depriving the models of labels in various states and years. We validated our methodology using available 30 m spatial resolution crop type labels from the US Department of Agriculture's Cropland Data Layer (CDL). Using Google Earth Engine, we computed Fourier transforms (or harmonic regressions) on the time series of Landsat Surface Reflectance and derived vegetation indices, and extracted the coefficients as features for machine learning models. We found that random forests trained on regions and years similar in growing degree days (GDD) transfer to the target region with accuracies consistently exceeding 80%. Accuracies decrease as differences in GDD expand. Unsupervised Gaussian mixture models (GMM) with class labels derived using county-level crop statistics classify crops less consistently but require no field-level labels for training. GMM achieves over 85% accuracy in states with low crop diversity (Illinois, Iowa, Indiana, Nebraska), but performs sometimes no better than random when high crop diversity interferes with clustering (North Dakota, South Dakota, Wisconsin, Michigan). Under the appropriate conditions, these methods offer options for field-resolution crop type mapping in regions around the world with few or no ground labels.

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Publication Type
Journal Articles
Publication Date
Journal Publisher
Remote Sensing of Environment
Authors
Sherrie Wang
George Azzari
David Lobell
External URL

Food system failures in our age of abundance

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News Type
Blogs
Date
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This article is part of the World Economic Forum Annual Meeting.

Twelve-year-old Lena is growing up poor and malnourished on Chicago’s West Side. She buys Blue Juice and Hot Chips from the corner store on her way to school. She and her classmates can afford the flavoured sugar water and salty starch, but this cheap “food” that fills up her stomach provides no nutritional value. 

Lena is one of over 20 million Americans living in food deserts, places without access to a full-service grocery store within two miles. Yet while Lena buys her Hot Chips, an affluent family nearby uses an online retail platform to order their weekly delivery of fresh, nutritious food – at prices that Lena and her family can’t afford. Despite a surge of technology innovations in food retail, Lena and her family represent a growing number of underserved customers around the world.

Read full story.

 

 

 

 

 

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Innovative Japanese Companies Harnessing Silicon Valley - Part 2

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This is part 2 of a talk presenting how innovative large Japanese companies are harnessing Silicon Valley. It is a review of the fireside chats and panels presented at the Silicon Valley – New Japan Summit last November at Stanford, which was in Japanese. The talk adds some historical context, and introduces through many of the company cases from the summit, including Panasonic, Fuji Film, Itochu, Rakuten, Obayashi, Nomura Holdings, Sourcenext, Komatsu, SMBC, and Toyota Research Institute.

The current surge of large Japanese companies into Silicon Valley is focused on firms aiming to identify new opportunities to collaborate with the startup ecosystem in order to understand future technological and industry trajectories, to facilitate new forms of “open” innovation within the company, and in some cases to even redefine how to add value to their core offerings. However, given a vast differently economic context from their core operations in Japan, many of the large Japanese firms’ initial forays tend to fall into patterns of “worst practices” that are ineffective. Yet, a small but growing number of innovative Japanese companies are producing novel and valuable collaborations with a variety of Silicon Valley firms, investors, and ecosystem players. The talk will survey a range of strategic options available to Japanese companies, with implications for how to better adapt companies from Japan to Silicon Valley, and more broadly from different political economic systems.

SPEAKER:

Kenji Kushida, Research Scholar, Shorenstein APARC Japan Program and Stanford Silicon Valley-New Japan Project Leader

BIO:

Kenji E. Kushida is the Japan Program Research Scholar at the Shorenstein Asia-Pacific Research Center at Stanford University (APARC), Project Leader of the Stanford Silicon Valley – New Japan Project (Stanford SV-NJ), research affiliate of the Berkeley Roundtable on the International Economy (BRIE), International Research Fellow at the Canon Institute for Global Studies (CIGS), and Visiting Researcher at National Institute for Research Advancement (NIRA). He holds a PhD in political science from the University of California, Berkeley, an MA in East Asian studies and BAs in economics and East Asian studies, all from Stanford University.

Kushida’s research streams include 1) Information Technology innovation, 2) Silicon Valley’s economic ecosystem, 3) Japan’s political economic transformation since the 1990s, and 4) the Fukushima nuclear disaster. He has published several books and numerous articles in each of these streams, including “The Politics of Commoditization in Global ICT Industries,” “Japan’s Startups Ecosystem,” “Cloud Computing: From Scarcity to Abundance,” and others. His latest business book in Japanese is “The Algorithmic Revolution’s Disruption: a Silicon Valley Vantage on IoT, Fintech, Cloud, and AI” (Asahi Shimbun Shuppan 2016).

He has appeared in media including The New York Times, Washington Post, Nihon Keizai Shimbun, Nikkei Business, NHK, PBS NewsHour, and NPR.

He is also a trustee of the Japan ICU Foundation, a fellow of the US-Japan Leadership Program, an alumni of the Trilateral Commission David Rockefeller Fellows, and a member of the Mansfield Foundation Network for the Future.

AGENDA:

4:15pm: Doors open
4:30pm-5:30pm: Talk and Discussion
5:30pm-6:00pm: Networking

RSVP REQUIRED:

Register to attend at http://www.stanford-svnj.org/12819

For more information about the Silicon Valley-New Japan Project please visit: http://www.stanford-svnj.org/

 

Kenji E. Kushida

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Former Research Scholar, Japan Program
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MA, PhD
Kenji E. Kushida was a research scholar with the Japan Program at the Walter H. Shorenstein Asia-Pacific Research Center from 2014 through January 2022. Prior to that at APARC, he was a Takahashi Research Associate in Japanese Studies (2011-14) and a Shorenstein Postdoctoral Fellow (2010-11).
 
Kushida’s research and projects are focused on the following streams: 1) how politics and regulations shape the development and diffusion of Information Technology such as AI; 2) institutional underpinnings of the Silicon Valley ecosystem, 2) Japan's transforming political economy, 3) Japan's startup ecosystem, 4) the role of foreign multinational firms in Japan, 4) Japan's Fukushima nuclear disaster. He spearheaded the Silicon Valley - New Japan project that brought together large Japanese firms and the Silicon Valley ecosystem.

He has published several books and numerous articles in each of these streams, including “The Politics of Commoditization in Global ICT Industries,” “Japan’s Startup Ecosystem,” "How Politics and Market Dynamics Trapped Innovations in Japan’s Domestic 'Galapagos' Telecommunications Sector," “Cloud Computing: From Scarcity to Abundance,” and others. His latest business book in Japanese is “The Algorithmic Revolution’s Disruption: a Silicon Valley Vantage on IoT, Fintech, Cloud, and AI” (Asahi Shimbun Shuppan 2016).

Kushida has appeared in media including The New York Times, Washington Post, Nihon Keizai Shimbun, Nikkei Business, Diamond Harvard Business Review, NHK, PBS NewsHour, and NPR. He is also a trustee of the Japan ICU Foundation, alumni of the Trilateral Commission David Rockefeller Fellows, and a member of the Mansfield Foundation Network for the Future. Kushida has written two general audience books in Japanese, entitled Biculturalism and the Japanese: Beyond English Linguistic Capabilities (Chuko Shinsho, 2006) and International Schools, an Introduction (Fusosha, 2008).

Kushida holds a PhD in political science from the University of California, Berkeley. He received his MA in East Asian Studies and BAs in economics and East Asian Studies with Honors, all from Stanford University.
Stanford Silicon Valley-New Japan Project

An Insider’s Vantage on 20 years of Japan’s Startup Ecosystem, its Current Challenges, And Attempts to Harness Silicon Valley

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Hiroaki Yasutake has had a front row seat in the development of Japan’s startup ecosystem for the past 20 years as he joined Rakuten as one of its earliest employees, spending many years at its CTO. In this talk, he will share various insights gained from being an integral part of the rise of Rakuten as it grew rapidly by introducing new services, buying much larger and established companies, and the process by which it made itself a reputable, established company in Japan. He also experienced Rakuten’s famed “English-nization” and the company’s aggressive global push. More broadly, many of his friends, associates and acquaintances fanned out to drive the growth of Japan’s startup ecosystem, which has transformed dramatically in the past two decades, and he will share many of their experiences, along with challenges facing Japan’s stage of the startup ecosystem. Yasutake also co-founded Junify, and he will introduce the business itself, his motivations for moving to Silicon Valley, and his observations of specific efforts by Japanese entrepreneurs in Silicon Valley. 

SPEAKER:

Hiroaki Yasutake, Co-founder and CSO, Junify, and former CTO, Rakuten

BIO:

Hiroaki Yasutake joined Rakuten (founded 1997) in its infancy in 1998 as an engineer after briefly working at NTT. At Rakuten, he was in charge of creating various services and served as CTO before departing in 2016. He moved to Silicon Valley and co-founded a new startup, Junify, and currently also assists various large and small Japanese companies about their technology and innovation strategies as external board member and advisor. He graduated from Waseda University’s Graduate School of science research, mathematical sciences, and in 2015, attended the Stanford Executive Program (SEP) at the Graduate School of Business.

AGENDA:

4:15pm: Doors open
4:30pm-5:30pm: Talk and Discussion
5:30pm-6:00pm: Networking

RSVP REQUIRED:

Register to attend at http://www.stanford-svnj.org/112718-public-forum

For more information about the Silicon Valley-New Japan Project please visit: http://www.stanford-svnj.org/
 

PARKING ON CAMPUS:

Please note there is significant construction taking place on campus, which is greatly affecting parking availability and traffic patterns at the university. Please plan accordingly.

Philippines Conference Room
Encina Hall, 3rd Floor
616 Serra Mall
Stanford, CA 94305

Hiroaki Yasutake, Co-founder and CSO, Junify, and former CTO, Rakuten
Seminars
Stanford Silicon Valley-New Japan Project
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