Google Academic Research Award Program recipients

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See here for proposal details.

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

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See award recipients.

See here for proposal details.

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, The 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 Feldman-Maggor, 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 Vietnam
Son Vu Truong Dao, RMIT University Vietnam
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)

See here for proposal details.

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, New Zealand
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

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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 Machine Translation System for English, Nepali, and Tamang

Brittany Johnson-Matthews, George Mason University
Angela D.R. 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, Harvard School of Dental Medicine
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 (LUMS), Pakistan
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 M. 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

See here for proposal details.

See award recipients.

See here for proposal details.

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 - Twin Cities
Loren Terveen, University of Minnesota - Twin Cities
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, Center for Security and Emerging Technology, Georgetown University
Dewey Murdick, Center for Security and Emerging Technology, 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, TU Delft
Rolf Van Wegberg, TU Delft
DM-STADD: Detecting and Mitigating Sextortion 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

See here for proposal details.

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

See here for proposal details.