Google Academic Research Award Program recipients
Previous years:
- 2024
Creating ML benchmarks for climate problems
Christian Frankenberg, California Institute of Technology
Daniel Jacob, Harvard University
Benchmark dataset of top-of-atmosphere spectra to enable machine learning for satellite observations of greenhouse gases
Duncan Watson-Parris, University of California, San Diego
Rose Yu, University of California, San Diego
ClimateBench2.0: Probabilistic climate model scoring
Jonathan Wang, University of Utah
Improving natural climate solutions and carbon budget estimates with high-resolution benchmark maps of aboveground biomass from airborne lidar scanning across ecosystems
Ronald Cohen, University of California, Berkeley
A Benchmark for Inferring CO2 Emissions de-novo From Measurements of a Real-Time Sensor Network
Xiaopeng Song, University of Maryland - College Park
Establishing global benchmarks for crop production forecasting
Making education equitable, accessible and effective using AI
Ann Devitt, Trinity College Dublin
Fostering the student/teacher relationship in the GenAI enabled classroom
Chenyi Zhang, Georgia State University
Lauren Margulieux, Georgia State University
Leveraging Prekindergarten(Pre-K) Teachers’ Routinized Literacy Activities with Integration of AI for Multicultural and Multilingual Teaching
Dongwook Yoon, University of British Columbia
Hwajung Hong, Korea Advanced Institute of Science and Technology
Designing Inclusive AI Tutors: Empowering Neurodivergent Learners through Participatory Design
Ekaterina Kochmar, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
Kaushal Kumar Maurya, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
2σ-ITS: A Pedagogical Intelligent Tutoring System Grounded in Learning Science Principles
Hua-Chen Wang, Macquarie University
Penny Van Bergen, University of Wollongong
Breaking Language Barriers for Multilingual Learners: An AI tool for boosting academic vocabulary
James Prather, Abilene Christian University
Brent Reeves, Abilene Christian University
Scaffolding Metacognition in Novice Programmers with GenAI through Negative Expertise
John DeNero, University of California, Berkeley
LLM-Powered Homework Bot with Knowledge Tracing Capabilities for Personalized Tutoring in Introductory CS1 Courses
Josiah Hester, Georgia Institute of Technology
Kumu Connect: Community-informed AI Teacher Support Tools for Place-Based CS Curriculum in Hawaiian Schools
Justin Reich, Massachusetts Institute of Technology
Integrating AI Powered EdTech: Evaluating Adoption of AI Tools in School Environments.
Lucy Lu Wang, University of Washington
AI-Driven Accessibility Solutions for STEM Educational Materials: Bridging Accessibility Gaps for Blind and Visually Impaired Students
Michael Gallagher, University of Edinburgh
Marvin Ggaliwango, Makerere University
Responsible Generative AI for Accelerated Competency-Based Teacher Training in Fragile Contexts (RGAI-FCT)
Olga Viberg, KTH Royal Institute of Technology
Yael Maggor-Feldman, KTH Royal Institute of Technology
Self-Regulated Learning for Using Generative AI as a Vehicle for Advancing Equity and Inclusion in Education
Oluwakemi Olurinola, Olabisi Onabanjo University, Ago-Iwoye
Sakinat Folorunso, Olabisi Onabanjo University, Ago-Iwoye
AI in Pedagogy: Developing Literacy and Integration Guides (EDAIL) for Teachers in LMICs
Paulo Carvalho, Carnegie Mellon University
Aniket Kittur, Carnegie Mellon University
From Engagement to Learning: Augmenting Videos for Skill Learning with LLMs
Rafael Ferreira Leite de Mello, CESAR - Centro de Estudos e Sistemas Avançados do Recife
Using LLM and AIED unplugged to support teaching at the right level program in Brazil
Sarah Sterman, University of Illinois at Urbana-Champaign
Teaching Debugging Skills in an Age of LLMs: Version control for process as a “material to think with”
Sherry Wu, Carnegie Mellon University
Ken Koedinger, Carnegie Mellon University
Explicitly Train Humans towards Human-AI Collaboration
Suchetana Chakraborty, Indian Institute of Technology - Jodhpur
Sandip Chakraborty, Indian Institute of Technology - Kharagpur
Pervasive and Personalized Aid for Continuous Monitoring of Behavioral Disorders and Timely Intervention Toward Addressing Special Needs in Child Education
Thi Huong Nhu Do, RMIT University
Son Vu Truong Dao, RMIT University
Empowering Early Childhood Education (ECE) Teachers with AI: Enhancing Professional Growth through Personalized Support and Timely Feedback
William Cross, North Carolina State University
A Curriculum on Responsible AI and Information Policy for Educators
Ying Tang, Rowan University Foundation
Nidhal Bouaynaya, Rowan University Foundation
Personalized Instruction and Need-aware Gaming (PING)
Quantum transduction and networking for scalable computing applications
Alp Sipahigil, University of California, Berkeley
Quantum transduction via interface piezoelectricity in superconducting circuits
Christopher Anderson, University of Illinois at Urbana-Champaign
Microwave-to-optical transduction with quantum paraelectric strontium titanate
Erik Viirre, University of California, San Diego
(QBO) Quantum Brain Observatory: Science, Computation and Engineering Specification
Harald Schwefel, University of Otago
Electro-optic microwave to optics transduction -- reaching 80% efficiency
Jelena Vuckovic, Stanford University
Cross-platform entanglement using a strontium titanate transducer
Jhih-Sheng Wu, National Yang Ming Chiao Tung University
Nano-Focusing Quantum Transducer
John Bartholomew, University of Sydney
Andrew Doherty, University of Sydney
Hybrid entangled photon source with in-built quantum memory
Liang Jiang, The University of Chicago
Robust Quantum Transduction Protocols & Distributed Quantum System Applications
Quntao Zhuang, University of Southern California
Distributed quantum state learning empowered by novel transduction protocols
Simon Devitt, University of Technology Sydney, Australia
Quantum Sneakernet and the entanglement economy
Using Gemini and Google's open model family to solve systems and infrastructure problems
Ana Klimovic, ETH Zurich
Fast, Cost-Efficient Serving of Fine-tuned Gemma Model Variants
Ayse Coskun, Boston University
Gianluca Stringhini, Boston University
LLM-Based Tracing Management for User-Friendly Performance Analysis in the Cloud
Danyang Zhuo, Duke University
LLM-assisted Host Network Stack Verification
Jose Renau, University of California, Santa Cruz
Building and Evaluating Hardware Agents
Quanquan Liu, Yale University
Gemini-Accelerated Software Performance Engineering
Udit Gupta, Cornell University
Going Beyond Efficiency: Life Cycle Carbon Footprint of AI Inference
Yiying Zhang, University of California, San Diego
Learned Tiered Memory System: Optimizing Tiered Memory Performance with ML-Based Memory Access Pattern Prediction
Zhihao Jia, Carnegie Mellon University
An ML-Optimized System for ML
Society-Centered AI
Ana Maguitman, Universidad Nacional del Sur
Carlos Chesnevar, Universidad Nacional del Sur
Empowering Inclusive E-Deliberation by Harnessing Collective Wisdom and Minority Perspectives
Anhong Guo, University of Michigan
WorldScribe: Context-Aware Live Visual Descriptions for Blind People
Anna Feigenbaum, Bournemouth University
Edward Apeh, Bournemouth University
HumAIne: Building Society-Centered Responsible AI Open Educational Resources
Bal Krishna Bal, Kathmandu University
Balaram Prasain, Tribhuvan University
Empowering Information Access Rights: Developing a Trilingual Translation System for English, Nepali, and Tamang
Brittany Johnson-Matthews, George Mason University
Angela Smith, University of Texas at Austin
For Us By Us: AI Assistants for the Black Lived Experience
Catherine Holloway, University College London
Giulia Barbareschi, Keio University
Leveraging Local Language & Culture within AI Applications for People with Communication Challenges in Africa
Derry Wijaya, Monash University
Ika Idris, Monash University
Contextualizing LLMs use for women’s sexual and reproductive health support in Indonesia
Dhruv Jain, University of Michigan
Enhancing Auditory Scene Understanding for Deaf and Hard of Hearing People
Elizabeth Bondi-Kelly, University of Michigan
Alex Peahl, University of Michigan
MI-OB-Now: Advancing Access to Reproductive Health Information with Gen-AI Clinical Messaging Systems
Emmanuel ADETIBA, Covenant University, Ota, Ogun State, Nigeria
A Direct Speech-to-Speech Model for English-to-Yoruba Translation Towards Bridging Language Barriers in Public Health Education Outreaches
Guanjin Wang, Murdoch University
Jayne Kotz, Murdoch University
A Co-designed AI Solution using Aboriginal Women’s Lived Experience to Improve Perinatal Mental Health Screening Outcomes
Jacob Wobbrock, University of Washington
Jon Froehlich, University of Washington
Exploring AI-Enhanced Mixed-Ability Social Interactions
Jagan Mohan Obbineni, Vellore Institute of Technology
Ilanthenral Kandasamy, Vellore Institute of Technology
Personalized Indigenous Rice Recommender System for Enhancing Societal Health and Nutrition using GraphRAG and Explainable AI
Jed Brubaker, University of Colorado
Generative Ghosts: Empirically evaluating a design space for death and generative agents
Jerry Li-Chia Tai, National Yang Ming Chiao Tung University
Chukwuebuka Ogwo, Temple University
AI-Empowered Teledentistry for Equitable Healthcare Access in Malawi’s Secondary School Communities
Jesús M Siqueiros, Universidad Nacional Autónoma de México
Carlos Hernández, Universidad Nacional Autónoma de México
Community weavers of artificial intelligence and nature-based solutions. A grassroots-participatory AI approach to urban transformations towards sustainability
Karen Cochrane, University of Waterloo
Daniel Harley, University of Waterloo
Using GenAI to Develop Low-Cost Accessible Switches of Individuals with Complex Disabilities
Kathryn Henne, Australian National University
Sarah Logan, Australian National University
Large Language Model Development for Low-Resource Languages in Southeast Asia: Lessons from Thailand
Ken Holstein, Carnegie Mellon University
Haiyi Zhu, Carnegie Mellon University
Participatory AI Measurement Design: Supporting Early Stakeholder Engagement in the Design of AI Measurements
Luciana Benotti, Universidad Nacional de Córdoba
Laura Alonso Alemany, Universidad Nacional de Córdoba
Empowering teachers with AI for participatory bias assessment of language technologies: Scaling teachers’ engagement to Latin America
Maarten Sap, Carnegie Mellon University
PARTICIP-AI: Studying Lay People’s Needs, Judgments, and Impact Assessment for Future AI Use Cases and AI Dilemmas
Mai ElSherief, Northeastern University
Morgan Vigil-Hayes, Northern Arizona University
Native American Bias and Cultural-responsiveness in Large Language Models
Maryam Mustafa, Lahore University of Management Sciences
Beena Ahmed, University of New South Wales
APPA: AI Antenatal and Postnatal Pregnancy Assistant
Meiyi Ma, Vanderbilt University
A Generative AI Enabled System for 9-1-1 Call-taker Training
Motahhare Eslami, Carnegie Mellon University
Kayhan Batmanghelich, Boston University
Bias Awareness and Mitigation in Breast Cancer Risk Prediction for Marginalized Groups through Participatory AI
Nikki Rickard, University of Melbourne
Simon D'Alfonso, University of Melbourne
Connecting the Disconnected: An AI-driven mentor to empower youth to engage in social prescribing
Ryan Shi, University of Pittsburgh
Empowering Smallholder Farmers Through Personalized Engagement
Tera Reynolds, University of Maryland - Baltimore County
Building a Framework and Toolkit for Effective Participatory AI Engagement in Hard-to-Reach Populations: A Case Study in Leveraging AI to Empower Underserved Patients in Understanding and Using their Medical Records
Víctor Manuel Sánchez Cartagena, University of Alicante
Generating textual resources to foster the development of language technologies for Mayan languages
Wei Xu, Georgia Institute of Technology
Charlotte Alexander, Georgia Institute of Technology
Improving Accessibility of Legal Documents with AI to Support Civil Rights Litigation
Trust & Safety
Alice Hutchings, University of Cambridge
Medical misinformation: Fake cancer treatments
Allison McDonald, Boston University
Building Pathways to Ethical Use of AI in Research on Image-Based Sexual Abuse
Amelia Johns, University of Technology Sydney
Paul Byron, University of Technology Sydney
Building co-designed digital literacy campaigns and resources to combat LGBTQ+ misinformation and hate speech
Deepak Kumar, University of California, San Diego
Jeremy Foote, Purdue University
Automated Conversational Interventions to Curb Toxic Content in Online Communities
Dilrukshi Gamage, University of Colombo School of Computing
Decoding AI Deception: Strategies for Identifying and Educating on AI-Generated Social Media Misinformation
Gary Hsieh, University of Washington
Combating Health Misinformation with LLM-Powered Living Summaries
Harmanpreet Kaur, University of Minnesota
Loren Terveen, University of Minnesota
High Reliability Group Work in a Human-AI Organization: A Case Study of Wikipedia
Joana Cook, Leiden University
Graig Klein, Leiden University
Countering violent extremist content online: A multidisciplinary approach
Joshua Tucker, New York University
From Search Engines to Answer Engines: Testing the Effects of Traditional and LLM-Based Search on Belief in Misinformation
Karla Badillo-Urquiola, University of Notre Dame
Investigating the Online Safety of Youth In Out-of-Home-Care
Kyle Crichton, Georgetown University
Dewey Murdick, Georgetown University
Harmonizing and Operationalizing Guidance for AI Safety and Security
Maggie Brennan, Dublin City University
Melvin Jabar, De La Salle University, Manila
Understanding Youth-Involved IBSA, Online Sexual Abuse and Exploitation of Children and Safety In The Philippines: Youth And Survivor Perspectives
Monica Whitty, Monash University
Chris Lawrence, Monash University
Balai (Lookout/Beware): Understanding and preventing cyber scams that impact Indigenous people
Nicholas Lane, University of Cambridge
Democratizing EU AI Act Compliance with LLMs and Computational Transparency Artifacts
Nicola Dell, Cornell University
Catalyzing Clinical Computer Security for Survivors of Human Trafficking
Nicolas Flammarion, Ecole Polytechnique Federale de Lausanne
Safe GenAI via Robust Content Moderation Models
Sarita Schoenebeck, University of Michigan
Eric Gilbert, University of Michigan
Beyond captchas: identity signals for a new internet full of AI
Savvas Zannettou, Technische Universiteit Delft
Rolf Van Wegberg, Technische Universiteit Delft
DM-STADD: Detecting and Mitigating Sextornion Targeting Dutch Adolescents Using Data Donations
Sharon Levy, Rutgers University
Characterizing Selective Refusal Bias in Large Language Models
Tanushree Mitra, University of Washington
Tools for Proactive Preparedness to Support Online Information Integrity Work in the LLM-era
Yixin Zou, Max Planck Institute
Mainack Mondal, Indian Institute of Technology - Kharagpur
Safeguarding Emerging Adults from Scams on Short-Form Video Platforms