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Award for Inclusion Research recipients

Previous years:

  • 2023
  • 2022
  • 2021
  • 2020
  • Andrew Begel, Carnegie Mellon University: Inclusive Remote Communication Tools for Blind and Sighted Collaborators
  • Bilge Mutlu, University of Wisconsin Madison: Supporting Social Participation for Older Adults through Robotic Telepresence
  • Eric Nalisnick, University of Amsterdam, Floris Roelofsen, University of Amsterdam: Adaptive, Efficient Collection of Sign Language Data
  • Gary W Behm, Rochester Institute of Technology: NTID Announcements: A Dataset for Aligning English Captions and Speech with American Sign Language Video
  • Julian Brinkley, Clemson University: Exploring The Design of Accessible Self-Driving Vehicles with Trained Co-Designers with Disabilities
  • Jennifer Mankoff, University of Washington: Assessing the accessibility of AI generated artifacts
  • Takeo Igarashi, The University of Tokyo: Enhance E-Learning Accessibility: Exploring AI Supported Temporal Approaches for Inclusive Online Education
  • Xin Yu, University of Queensland, Jessica Korte, University of Queensland: Breaking the Communication Barrier for the Australian Deaf Community: Vision Based Australian Sign Language Translation and Production
  • Xiaojun Bi, State University of New York Stony Brook, IV Ramakrishnan, State University of New York: Accessible Touchscreen Keyboards for People with Visual Impairments
  • Yvonne Tran, Macquarie University, Kelly Miles, Macquarie University: Enhancing Inclusion and Communication for Adults with Hearing Loss through Sensor-Fusion Empowerment Networks
  • Angelique Taylor, Cornell University, Hee Rin Lee, Michigan State University: Towards Robots for Inclusive Clinical Teamwork: Empowering Nurses to Promote Patient Safety
  • Chinmay Kulkarni, Emory University: Encouraging Expression of Appreciation to Improve Inclusion in Open Source
  • Edwin Ip, University of Exeter, Loukas Balafoutas, University of Exeter: Harnessing Behavioral Insights to Design and Test Inclusive AI Practice in Hiring
  • Golnoosh Farnadi, McGill University: Collaboration Strategies for Marginalized Communities with Data, Value and Resource Heterogeneity in Federated Learning
  • Rafael Prikladnicki, Pontifical Catholic University of Rio Grande do Sul, Andre van der Hoek, University of California, Irvine: How do blind and low vision developers co-create software design artifacts?
  • Sridhar Chimalakonda, Indian Institute of Technology Tirupati: No One Is Left Behind - Fostering DEI and Nurturing Communication, Collaboration and Computing skills in Underrepresented Rural Students of India through a Collaborative Game
  • Azra Ismail, Emory University: Towards culturally-sensitive design of conversational AI for community health
  • Ben Green, University of Michigan, Tawanna Dillahunt, University of Michigan: Community-Driven Anticipation of AI Impacts
  • Bryan Ranger, Boston College: Toward multimodal generalist AI for portable ultrasound to support frontline healthcare workers in Ethiopia
  • Carl DiSalvo, Georgia Institute of Technology: Secondhand Economies and their Algorithmic Ecosystems
  • Chris Biemann, University of Hamburg, Adem Chenie Ali, Bahir Dar University, Ethiopia: AI-driven Monitoring of Attitude Polarization in Conflict-Affected Countries for Inclusive Peace Process and Women’s Empowermen
  • Dr. Morgan Wack, Clemson University, Sukrit Venkatagiri, University of Washington: Understanding and Co-Designing Responsible Generative AI Tools with Historically Marginalized Communities in South Africa and Kenya
  • Dr Guanjin Wang, Murdoch University, Dr Jayne Kotz, Murdoch University: Bridging Service Gaps in Aboriginal Perinatal Mental Health: An Embeddable Interpretable Generative AI
  • Gillian R. Hayes, University of California, Irvine: Youth Perceptions and Use of AI Using a Nationally Representative Sample
  • Hannah Kerner, Arizona State University: A Data-Centric Approach to Improve Geographic Equity in Geospatial ML
  • Johannes Bjerva, Aalborg University, Heather Christine Lent, Aalborg University: CREOLE: Creating Resources for Disadvantaged Language Communities
  • John Bradley, Monash University, Lele Sha, Monash University: Empowering Indigenous Language Learning through Co-created Knowledge Graph
  • Kurt Squire, University of California, Irvine: Designing Equitable MR Computing Futures with Recently Incarcerated and Gang Affiliated Black and Latino/a youth - Community Based Participatory Design at Homeboy Industries Art Academy
  • Magdalena Fuentes, New York University: Including Latin American Culture in Music Information Research
  • Melissa Densmore, University of Cape Town, Naveen Bagalkot, Srishti Manipal Institute of Art, Design & Technology, Manimal Academy of Higher Education: Collectively Reimagining Chatbots and Voice-based automation for Content Creation tools from the “Margins” in South Africa and India
  • Maristella Matera, Politecnico di Milano Dep. Electronics, Information and Bioengineering Italy, Salvatore Andolina, Politecnico di Milano: Conversational Patterns for Inclusive Prompt Engineering
  • Rahman Sanya, Makerere University, Stella Achen, Makerere University: Collaborative Development of AI Solution for Scaling Up Adolescent Access to Sexual and Reproductive Health Education and Services in Uganda
  • Sandip Chakraborty, Indian Institute of Technology Kharagpur: AI-assisted Distributed Collaborative Indoor Pollution Meters: A Case Study, Requirement Analysis, and Low-cost Healthy Home Solution for Indian Slums
  • Syed Ishtiaque Ahmed, University of Toronto: Developing a Community-Centered Culturally-Aligned Data Visualization Framework in Rural Bangladesh
  • David Weintrop, University of Maryland College Park, Joel Chan, University of Maryland: "Computer, Help Me With My Code!": Understanding the Impact of Conversational Large Language Models in Introductory Programming Courses for Students from Historically Excluded Populations in Computing
  • Ibrahim Osman Adam, University for Development Studies: Integrating Generative AI Tools in Ghanaian Higher Education for Advancing Computing Education: A Constructivist Learning Approach
  • Jake Renzella, University of New South Wales, Sasha Vassar, University of New South Wales: Generating Adaptive Compiler Error Explanations with Large Language Models to Support Underrepresented CS1 Cohorts
  • James Prather, Abilene Christian University, Brent Reeves, Abilene Christian University: Supporting Novice Programmers Through Large Language Models
  • Leo Porter, University of California, San Diego, Daniel Zingaro, University of Toronto: Exploring the Value of LLMs in Teaching Introductory Programming
  • Narges Norouzi, University of California, Berkeley, John DeNero, University of California, Berkeley: Conversational Programming with LLM: An Automated Assistant in Introductory Programming Courses
  • Polo Chau, Georgia Institute of Technology: Scaling Up Educators' Capacities: Automating Visualization Assessment via Generative AI
  • Therese Keane, La Trobe University, Tianchong Wang, Swinburne University of Technology: Managing the double-edged sword: A framework for harnessing generative AI towards female inclusion in primary and secondary schools (K-12)
  • Andrea Parker, Georgia Institute of Technology: Combating Mental Health Inequities Amongst Perinatal Black Women Through Digital Health Innovation
  • Josiah Poon, University of Sydney, Caren Han, University of Sydney: Multimodal Mental Illness Detection and Explanation
  • Prof. Emmanuel Adetiba, Covenant University, Ota, Ogun State, Nigeria: A Generative Natural Language Processing Model for Transcription of an Indigenous African Language Towards Inclusive Public Health Education
  • Yang Song, University of New South Wales, Maurice Pagnucco, University of New South Wales: Interactive Concept Learning for Debiasing in Biomedical Imaging
  • Aakash Gautam, San Francisco State University: Community-Driven Socio-Technical Approach to Language Preservation and Promotion in Nepal
  • Aditya Grover, University of California, Los Angeles: Characterizing & Mitigating Geographical Bias in Climate Downscaling
  • Andrea Bellucci, Universidad Carlos III de Madrid, Jason Nolan, Toronto Metropolitan University: Radical Accessibility Tools for Extended Reality Musicking (RATERM)
  • Angela D. R. Smith, University of Texas at Austin, Christina N. Harrington, Carnegie Mellon University: Transforming theory into practice: eliciting cultural imaginaries and design thinking to understand Black-Centered Design
  • Apryl Williams, University of Michigan, Jenny Davis, The Australian National University: Algorithmic Reparations + Participatory ML
  • Bianca Kremer, Caitlin Sampaio Mulholland, Pontifícia Universidade Católica do Rio de Janeiro: Mitigating racial algorithmic bias in Brazil: building equitable and accountable AI
  • Bogdan Vasilescu, Carnegie Mellon University: Understanding the Relationship Between Team Diversity and Innovation in Open Source
  • Chris Brown, Sang Won Lee, Virginia Tech: Supporting Under-Resourced Software Engineering Job Seekers through Facilitating Online Collaboration in Technical Interview Preparation
  • Daniela Rosner, University of Washington: Toward Equitable and Community-Collaborative Approaches to Mitigating Racial Disparities in Automated Speech Recognition and Language Technologies Alongside African American Speakers of African-American Vernacular English (AAVE)
  • Enzo Ferrante, Universidad Nacional del Litoral - CONICET: Unsupervised bias discovery: anticipating fairness issues in machine learning models for medical imaging without ground-truth annotations
  • Felipe Tobar, Universidad de Chile, Darinka Radovic, Universidad de Chile: Data Science at the service of gender equality in STEM education: A case study at Universidad de Chile’s School of Engineering
  • Gireeja Ranade, University of California, Berkeley: Inclusive study groups at scale
  • Gizeaddis Lamesgin Simegn, Jimma Institute of Technology: AI based Integrated English and Amharic Text-to-speech Synthesis with OCR: Hardcopy text reader for visually impaired people
  • Jason Wiese, University of Utah: Designing and Building Personal Informatics Systems with and for Power Wheelchair Users
  • Jinjuan Feng, Towson University: Making Health Data Accessible to People with Down Syndrome
  • Joanne Evans, Monash University, Misita Anwar, Monash University: Cultivating multicultural approaches to diversity and inclusion in IT education
  • John Grundy, Monash University, Tanjila Kanij, Monash University: Towards a More Inclusive Computer Science Teaching and Learning Environment
  • Juan M Banda, Georgia State University: Towards more equitable representation of Latin American Spanish natural language processing resources for social media mining of health-related applications
  • Kangning Huang, New York University: Future Heat Stress in Urban Slums: Projections and Mitigations
  • Laura Sikstrom, University of Toronto, Sean Hill, University of Toronto: A Computational Ethnographic Approach to Building Fair Models of Inpatient Violence in Emergency Psychiatry
  • Leysia Palen, University of Colorado: Investigating the Emergent Data Practices of a Marginalized Community Fighting Enviro-Racial Injustice to Co-Create an Information Infrastructure for Wider Mobilization
  • Lighton Phiri, University of Zambia: Exploring the Use of Enterprise Medical Imaging and Artificial Intelligence for Efficient and Effective Radiological Workflows in Public Health Facilities in Zambia
  • Matthias Ihme, Stanford University: Forecasting of wildfire pollutant transport using physics-informed machine learning to mitigate long-term health ef-fects from wildfire smoke on vulnerable communities
  • Michelle Mazurek, University of Maryland: Toward Principled Semi-Customized Security and Privacy Advice for At-Risk Populations
  • Morteza Dehghani, University of Southern California, Ellie Graeden, Georgetown University: Police Communication During Traffic Stops: Annotator Diversity in the Study of Multi-Modal Communication
  • Nicola Dell, Cornell University, Tom Ristenpart, Cornell University: Digital Safety for LGBTQ+ Survivors of Intimate Partner Violence
  • Patricia Garcia, University of Michigan: Examining Algorithmic Decision-Making in Homeless Service Systems
  • Pedro Lopes, University of Chicago: Designing & Engineering Glove-based Exoskeletons From the Ground Up for Accessible Communication
  • Rodrigo Coelho Barros, Pontifícia Universidade Católica do Rio Grande do Sul: Bidirectional Neural Machine Translation for the Brazilian Sign Language
  • Sandra Eliza Fontes de Avila, Universidade Estadual de Campinas: Dark Skin Matters: Fair and Unbiased Skin Lesion Models
  • Shiri Azenkot, Cornell University, Brian Smith, Columbia University: Designing Interactive Scene Description Abilities for People with Visual Impairments
  • Stefano Zacchiroli, Télécom Paris, Davide Rossi, University of Bologna: What Causes the Lack of Diversity in Open Source?
  • Surangika Ranathunga, University of Moratuwa, Nisansa de Silva, University of Moratuwa: Multi-domain Neural Machine Translation (NMT) System for Sinhala, Tamil and English
  • Tiffanie R. Smith, Lincoln University (PA): The POUNC2E (Preparing Our Undergrads New to Computing and College Environments) Program
  • Vicente Ordonez, Rice University: Measuring and Mitigating Societal Biases in Vision and Language Models for Open Recognition
  • Wenjie Zhang, University of New South Wales: Accessible Learning Analytics for Students with Cognitive Deficits in TAFE Australia
  • Wilkerson de Lucena Andrade, Universidade Federal de Campina Grande: Including People with Cognitive Disabilities in Programming Teaching
  • Xinru Zhu, Tokyo Institute of Technology: Development and Practical Application of Typefaces and Typeface Customization System for Readers with Developmental Dyslexia in East Asian Languages
  • Yasin Silva, Loyola University of Chicago, Deborah Hall, Arizona State University: Toward Safer Online Experiences for LGBTQ+ Communities
  • Yoshihiro Kawahara, The University of Tokyo: Augmenting Spatial Hearing of People with Unilateral Hearing Loss for Inclusive AR/VR Communication
  • Anita Sarma, Oregon State University: Improving A Sense of Belonging in Open Source by Supporting Diverse Roles
  • Arya Farahi, University of Texas at Austin, Danai Koutra, University of Michigan: Reducing Disparity in Resource Allocation: The Case of Mobility Infrastructure in the City of Detroit
  • Chris Creed, Birmingham City University, Sayan Sarcar, Birmingham City University: Collaborative Multimodal Coding for Developers with Physical Impairments
  • Christina Harrington, Carnegie Mellon University: Establishing a Speculative Design Toolkit to Support Technology Futuring among Marginalized Communities
  • Christopher Brooks, University of Michigan, Rene Kizilcec, Cornell University: Investigating How to Mitigate Bias in Predictive Models of Student Success Across Diverse Institutions
  • Daniel L. Chen, Toulouse School of Economics: Predicting and Remedying Gender and Ethnic Biases in the Kenyan Judiciary through AI
  • Daniela Damian, University of Victoria: Understanding Barriers and Designing Guidelines for Effective Collaboration in Diverse technology teams that are Inclusive of Indigenous People
  • Darakhshan Mir, Bucknell University, Vanessa Massaro, Bucknell University: Experiences of Algorithmic (Un)Fairness: Integrating qualitative and quantitative analysis to understand experiences of incarcerated individuals in Pennsylvania.
  • Gema Rodriguez-Perez, University of British Columbia, Meiyappan Nagappan, University of Waterloo: To understand the sources of discrimination faced by Hispanic and Black open-source developers in online social-coding platforms
  • Joyce Nakatumba-Nabende, Makerere University, Andrew Katumba, Makerere University: Using Machine Learning for Localised and Targeted Agricultural Advisory to Smallholder Farmers in Uganda
  • Manmohan Chandraker, University of California, San Diego: Computer Vision for Road Safety in Low and Mid-Income Geographies: Data Equity, Algorithmic Fairness and Educational Access
  • Marine Carpuat, University of Maryland - College Park: Auditing Low-Resource Machine Translation for Computational Harms
  • Miguel Nussbaum, Pontificia Universidad Católica de Chile, Isabel Hilliger, Pontificia Universidad Católica de Chile: Predictive learning analytics to provide socioeconomically disadvantaged students with timely support
  • Nandana Sengupta, Indian Institute of Technology Delhi, India, Aditya Medury, Indian Institute of Technology Kanpur, India: The Road Less Travelled: Contextualizing and Measuring Bias in Crowdsourced Street Safety Ratings in India
  • Philip S. Thomas, University of Massachusetts - Amherst, Yuriy Brun, University of Massachusetts - Amherst: Supervised Learning with Long-Term Fairness Guarantees
  • Renata Borovica-Gajic, University of Melbourne, Marion Zalk, University of Melbourne: Improving the learning environment through bias awareness in curriculum design and assessment tasks
  • Sarita Schoenebeck, University of Michigan, Robin Brewer, University of Michigan: Designing Interpretable AI for People with Disabilities
  • Sheena Erete, DePaul University: Designing Community-centered, Data-driven Technologies and Processes to Support the Transformation of Local Learning Ecosystems
  • Simon J. L. Billinge, Columbia University, Dinsefa Mensur, Adama Science and Technology University: Developing Accessible Educational and Research Resources for East African Graduate Students in Computational Materials Science and Sustainability
  • Vandana Singh Avasty, University of Tennessee, Knoxville, Jeffrey Carver, University of Alabama: Educating Students to be Better Citizens of Tech Communities: DEI Focus
  • Zhen Bai, University of Rochester: Augmenting Immersive Language Environment for Deaf Children in Early Childhood
  • Anicia Peters, University of Namibia, Shaimaa Lazem, City for Scientific Research and Technological Applications, Egypt: Human Centred Technology Design for Social Justice in Africa
  • Antonios Anastasopoulos, George Mason University: Modern NLP for Regional and Dialectal Language Variants
  • Aqueasha Martin-Hammond, Indiana University - Purdue University Indianapolis, Tanjala S. Purnell, Johns Hopkins University: Culturally Relevant Collaborative Health Tracking Tools for Motivating Heart-Healthy Behaviors Among African Americans
  • Destenie Nock, Carnegie Mellon University, Constantine Samaras, Carnegie Mellon University,: Characterizing Energy Equity in the United States
  • Erin Walker, University of Pittsburgh Leshell Hatley, Coppin State University: Developing a Dialogue System for a Culturally-Responsive Social Programmable Robot
  • Hinrich Schuetze, LMU Munich: Eliminating Gender Bias in NLP Beyond English
  • Jacob O. Wobbrock, University of Washington: The Ability-Based Design Mobile Toolkit: Enabling Accessible Mobile Interactions through Advanced Sensing and Modeling
  • Jasmine McNealy, University of Florida: Mutual aid and community engagement: Community-based mechanisms against algorithmic bias
  • Karen Elizabeth Fisher, University of Washington, Yacine Ghamri-Doudane, University of La Rochelle: Empowering Syrian Girls through Culturally Sensitive Mobile Technology and Media Literacy
  • Latifa Jackson, Hasan Jackson, Howard University: Broadening participation in data science through examining the health, social, and economic impacts of gentrification
  • Legand Burge, Howard University, Marlon Mejias, University of North Carolina at Charlotte: Understanding How Peer and Near Peer Mentors co-Facilitating the Active Learning Process of Introductory Data Structures Within an Immersive Summer Experience Effected Rising Sophomore Computer Science Student Persistence and Preparedness for Careers in Silicon Valley
  • Maria De-Arteaga, University of Texas at Austin: Who is Most Likely to Advocate for this Case? A Machine Learning Approach
  • Meenakshi Balakrishnan, Indian Institute of Technology Delhi, India, Volker Sorge, University of Birmingham: Contextual Rendering of Equations for Visually Impaired Persons
  • Nicki Washington, Duke University: Measuring the Cultural Competence of Computing Students and Faculty Nationwide to Improve Diversity, Equity, and Inclusion
  • Steve Oney, University of Michigan: Designing and Building Collaborative Tools for Mixed-Ability Programming Teams
  • Timothy Sherwood, Sharon Tettegah, University of California, Santa Barbara: Iterative Design of a Black Studies Research Computing Initiative through "Flipped Research"