Prior Seed Grant Recipients
2019 HAI Seed Grant Recipients
Artificial Intelligence for Scientific Discovery
- Susan Athey (Business)
- David Hirshberg (Economics)
- Guido Imbens (Business, Economics)
- Stefan Wager (Business)
A Causal Decision-Learning Approach for Identifying Cost-Effective Clinical Pathways
- Mohsen Bayati (Business)
- Merle Ederhof (CERC)
- James Martin (Stanford Health Care)
- Alex Chin (Radiation Oncology)
- Jeffrey Jopling (Surgery)
Virtual Multisensory Interaction: From Robots to Humans
- Jeannette Bohg (Computer Science)
- Allison Okamura (Mechanical Engineering)
- Doug James (Computer Science)
Statistical Machine Learning for Understanding and Improving Social Mobility Among the Poor: A Precision Approach to Intervention
- Emma Brunskill (Computer Science)
- Geoff Cohen (Education)
Understanding and Addressing Ethical Challenges with Implementation of Machine Learning to Advance Palliative Care
- Danton Char (Anesthesiology)
- Henry Greely (Law)
- Nigam Shah (Medicine, Biomedical Data Science)
Administering by Algorithm: Artificial Intelligence in the Regulatory State
- David Freeman Engstrom (Law)
- Dan Ho (Law)
- Tino Cuellar (Law)
RoboIterum: An Augmented Reality Interface for Iterative Design of Situated Interactions with Intelligent Robots
- Sean Follmer (Mechanical Engineering)
- James Landay (Computer Science)
- Parastoo Abtahi (Computer Science)
Urbanization at the Margins: Edges & Seams in the Global South
- Roz Naylor (Earth System Science)
- Zephyr Frank (History)
- Erik Steiner (Spatial History Project)
- Deland Chan (H&S)
- Leonardo Barleta (History)
Deep Neural Network for Real-Time EEG Decoding of Musical Rhythm Imagery: Towards a Brain-Computer Interface Application for Stroke Rehabilitation
- Takako Fujioka (Music)
- Irán Román (Music, Neuroscience)
- Jay McClelland (Psychology)
Multi-modal Inference in Brains, Minds, and Machines
- Tobias Gerstenberg (Psychology)
- Justin Gardner (Psychology)
- Hyo Gweon (Psychology)
- Scott W. Linderman (Statistics, Neuroscience)
Video-based Real Time Monitoring of Respiratory Conditions in the Pediatric Emergency Department
- Sumit Bhargava (Pediatrics)
- Dan Imler (Emergency Medicine)
- Peyton Greenside (Computer Science)
- Karan Goel (Computer Science)
Learning to Play: Understanding Infant Development with Intrinsically Motivated Artificial Agents
- Daniel LK Yamins (Psychology)
- Fei-Fei Li (Computer Science)
- Mike Frank (Psychology)
- Nick Haber (Psychology)
- Damian Mrowca (Computer Science)
- Stephanie Wang (Computer Science)
- Kun Ho Kim (Computer Science)
- Eli Wang (Electrical Engineering)
- Bria Long (Psychology)
- Judy Fan (Psychology)
- George Kachergis (Psychology)
- Hyo Gweon (Psychology)
Folk Theories of AI Systems: An Approach for Developing Interpretable AI
- Jeffrey Hancock (Communication)
- Michael Bernstein (Computer Science)
- Sunny Liu (Communication)
- Danae Metaxa (Computer Science)
“Personality Design” in Artificial Intelligence-enabled Robots, Conversational Agents and Virtual Assistants
- Pamela Hinds (Management Science and Engineering)
- Angele Christine (Communication)
- Prachee Jain (Management Science and Engineering)
Using AI to Safeguard Our Drinking Water
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Kate Maher (Earth System Science)
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Jef Caers (Geological Sciences)
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Bill Mitch (Civil and Environmental Engineering)
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James Dennedy-Frank (Biology)
Predicting Learning Outcomes with Machine Teachers
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Roy Pea (Education), Emma Brunskill (Computer Science), Bethanie Maples (Computer Science), Joyce He (Education)
Developing a Computational Approach for Identifying Characteristics of Psychotherapy
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Bruce Arnow (Psychiatry and Behavioral Sciences)
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Stewart Agras (Psychiatry and Behavioral Sciences)
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Nigam Shah (Medicine, Biomedical Data Science)
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Fei-Fei Li (Computer Science)
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Adam Miner (Psychiatry and Behavioral Sciences)
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Albert Haque (Computer Science)
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Michelle Guo (Computer Science)
Crowdsourcing Concept Art: An Art Style Classifier to Maintain Consistent Artistic Vision at Scale
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Michael Bernstein (Computer Science)
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Camille Utterback (Art and Art History)
Modeling Finger Sense Training and Math Learning in Children
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Allison Okamura (Mechanical Engineering)
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Jo Boaler (Education)
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Dorsa Sadigh (Computer Science, Electrical Engineering)
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Melisa Orta Martinez (Mechanical Engineering)
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Julie Walker (Mechanical Engineering)
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Margaret Koehler (Mechanical Engineering)
PopBots: An Army of Conversational Agents for Daily Stress Management
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Dan Jurafsky (Computer Science, Linguistics)
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Pablo E. Paredes (Radiology, Psychiatry and Behavioral Sciences)
Opportunistic Screening for Coronary Artery Disease Using Artificial Intelligence
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David Maron (Cardiovascular Medicine)
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Alex Sandhu (Cardiovascular Medicine)
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Fatima Rodriguez (Cardiovascular Medicine)
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Bhavik Patel (Radiology)
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Matthew Lungren (Radiology)
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Curtis Langlotz (Radiology)
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Christopher Chute (Computer Science)
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Pranav Rajpurkar (Computer Science)
Promoting Well-Being by Predicting Behavioral Vulnerability in Real-Time
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Jeffrey Hancock (Communication)
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Gabriella Harani (Communication)
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Jure Leskovec (Computer Science)
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Adam Miner (Psychiatry and Behavioral Sciences)
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Róbert Pálovics (Computer Science)
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Katie Roehrick (Communication)
Using Artificial Intelligence to Optimize Patient Mobility and Functional Outcomes
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Arnold Milstein (Medicine)
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Fei-Fei Li (Computer Science)
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Francesca Rinaldo Salipur (CERC, General Surgery)
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Bingbin Liu (Computer Science)
Predicting Malaria Outbreaks: AI to Learn, Classify and Predict Across Diverse Paleo-demographic, Climatic and Genomic Data
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Krish Seetah (Anthropology)
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Robert Dunbar (Earth System Science)
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Carlos Bustamante (Biomedical Data Science, Genetics)
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Giulio De Leo (Biology)
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Erin Mordecai (Biology)
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Michelle Barry (CIGH)
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Bright Zhou (Medicine)
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David Pickel (Classics)
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Hannah Moots (Anthropology)
Robust Deep Neural Network Optimization with Second Order Method for Biomedical Applications
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Stephen Boyd (Electrical Engineering)
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Mohsen Bayati (Business)
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Lei Xing (Radiation Oncology)
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Varun Vasudevan (ICME)
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Kate Horst (Radiation Oncology)
The Economic Consequences of Artificial Intelligence
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Nick Bloom (Economics)
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Matt Gentzkow (Economics)
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Pete Klenow (Economics)
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Caroline Hoxby (H&S, Hoover Institution, SIEPR)
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Tim Bresnahan (Economics)
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Michael Webb (Economics)
Uncovering gender inequalities in East Africa: Using AI to gain insights from media data
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Gary Darmstadt (Pediatrics-Neonatology)
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James Zou (Biomedical Data Science)
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Londa Schiebinger (History)
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Ann Weber (Pediatrics)
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Valerie Meausoone (Population Health Sciences)
Developing Artificial Intelligence Tools for Dynamic Cancer Treatment Strategies
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Daniel Rubin (Radiology, Biomedical Data Science)
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Michael Gensheimer (Radiation Oncology)
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Susan Athey (Business)
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Ross Shachter (Management Science and Engineering)
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Jiaming Zeng (Management Science and Engineering)
Want out? Removing Individuals’ Data from Machine Learning Models
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James Zou (Biomedical Data Science)
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Greg Valiant (Computer Science)
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Amy Motomura (Law)
2018 HAI Seed Grant Recipients
Adversarial Examples for Humans?
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Gregory Valiant
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Noah Goodman
Automated Moderation of Small Group Deliberation
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Ashish Goel
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James Fishkin
“Always On” Genetic Patient Diagnosis
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Gill Bejerano
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Jon Bernstein
Correcting Gender and Ethnic Biases in AI Algorithms
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James Zou
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Londa Schiebinger
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Serena Yeung
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Carlos Bustamante
Dynamic Artificial Intelligence-Therapy for Autism on Google Glass
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Dennis Wall
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Tom Robinson
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Terry Winograd
Enabling Natural-Language Interactions in Educational Software
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Alex Kolchinski
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Sherry Ruan
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Dan Schwartz
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Emma Brunskill
Fast, Multiphase Human-in-the-loop Optimization of Exoskeleton Assistance
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Steven Collins
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Emma Brunskill
Free Exploration in Human-Centered AI Systems
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Mohsen Bayati
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Ramesh Johari
Gender Bias in Conversations with Chatbots
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Katie Roehrick
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Jeff Hancock
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Byron Reeves
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Londa Schiebinger
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James Zou
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Garrick Fernandez
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Debnil Sur
Harnessing AI to Answer Questions about Diversity and Creativity
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Dan McFarland
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Londa Schiebinger
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James Zou
The Impact of Artificial Intelligence on Perceptions of Humanhood
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Benoît Monin
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Erik Santoro
The Impact on Society of Autonomous Mobile Robots: A Pilot Study
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Marco Pavone
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Mark Duggan
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David Grusky
Improving Refugee Integration Through Data-Driven Algorithmic Assignment
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Jens Hainmueller
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Kirk Bansak
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Andrea Dillon
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Jeremy Ferwerda
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Dominik Hangartner
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Duncan Lawrence
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Jeremy Weinstein
Learning Behavior Change Interventions At Scale
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Michael Bernstein
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James Landay
Learning Decision Rules with Complex, Observational Data
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Xinkun Nie
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Stefan Wager
Learning Haptic Feedback for Motion Guidance
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Julie Walker
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Andrea Zanette
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Mykel Kochenderfer
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Allison Okamura
Mining the Downstream Effects of Artificial Intelligence on How Clinicians Make Decisions
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Ron Li
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Jason Ku Wang
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Lance Downing
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Lisa Shieh
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Christopher Sharp
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Jonathan Chen
New Moral Economy in an Age of Artificial Intelligence
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Margaret Levi
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Justice Mariano-Florentino Cuellar
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Roberta Katz
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John Markoff
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Jane Shaw
Novel Approach to Map Seasonal Changes in Infection Risk for Schistosomiasis: a Multi-Scale Integration of Satellite Data and Drone Imagery by Using Artificial Intelligence
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Giulio De Leo
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Susanne Sokolow
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Eric Lambin
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Zac YC Liu
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Chris Re
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I. Jones
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R. Grewelle
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A. Ratner
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A. Lund
Planning for Multi-Modal Human-Robot Communication
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Yuhang Che
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Cara Nunez
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Allison Okamura
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Dorsa Sadigh
Scaling Collection of Labeled Data for Creating AI Systems through Observational Learning
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Daniel Rubin
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Chris Re
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Jared Dunnmon
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Alex Ratner
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Darvin Yi
Smart Learning Healthcare System for Human Behavior Change
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Michelle Guo
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Fei-Fei Li
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Arnold Milstein
Using AI to Facilitate Citizen Participation in Democratic Policy Deliberations
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Deger Turan
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Frank Fukuyama
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Jerry Kaplan
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Larry Diamond
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Eileen Donahoe
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Chris Potts
Using Computer Vision to Measure Neighborhood Variables Affecting Health
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Jackelyn Huang
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Nikhil Naik
Using Deep Learning for Imaging Alzheimer’s Disease with Simultaneous Ultra-low-dose PET/MRI
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Greg Zaharchuck
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Bill Dally
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John Pauly
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Elizabeth Mormino