Publication Research

Zero-Shot Transfer Learning to Enhance Communication for Minimally Verbal Individuals with Autism using Naturalistic Data

Narain, J.* & Johnson, K.T.*, Picard, R.W., Maes, P. "Zero-Shot Transfer Learning to Enhance Communication for Minimally Verbal Individuals with Autism using Naturalistic Data," NeurIPS Workshop on AI for Social Good, December 2019. (*equal contribution)
Research
Open Ocean

Open Ocean
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Social Machines

Promoting deeper learning and understanding in human networks
Project Research

Active Fairness in Algorithmic Decision Making

Algorithmic FairnessSociety increasingly relies on machine learning models for automated decision making. Yet, efficiency gains from auto...
Project Research

Predicting students' wellbeing from physiology, phone, mobility, and behavioral data

The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obt...
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City Science

Looking beyond smart cities
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Molecular Machines

Engineering at the limits of complexity with molecular-scale parts
Thesis Research

Forecasting Mental Distress using Healthcare Claims Data

Taylor, Sara. Forecasting Mental Distress using Healthcare Claims Data. 2020. MIT, PhD dissertation.
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Health 0.0

Health 0.0
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Human Dynamics

Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Project Research

Theme | CityScope

City Science researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban planning c...
Project Research

Mediated Atmosphere

The Mediated Atmosphere project envisions a smart office that is capable of dynamically transforming itself to enhance occupants' work ex...
Project Research

Commalla: Communication for All

(Note: this project was previously referred to as ECHOS)Over 1 million people in the U.S. are non- or minimally verbal (nv/mv), including...
Post Research

Call for Papers | KDD Workshop on Humanitarian Mapping

Neil Gaikwad from the Space Enabled research group is co-organizing the KDD Workshop on Humanitarian Mapping.
Archived
Research
Open Agriculture (OpenAg)

Open Agriculture Initiative (OpenAg)
Project Research

Gobo

Your social media. Your rules.Gobo is an experiment, not a startup. We’re building it to change the conversation on social media and imag...
Archived
Project Research

Food Server

The OpenAg™ Food Server is a shipping container-sized, controlled environment agriculture technology that can be built to utilize hydropo...
Archived
Archived
Project Research

Personal Food Computer

The OpenAg™ Personal Food Computer is a tabletop-sized, controlled environment agriculture technology platform that uses robotic systems ...
Archived
Publication Research

A Voting-Based System for Ethical Decision Making

Ritesh Noothigattu, Snehalkumar 'Neil' S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia AAAI 2018: Association for the Advancement of Artificial Intelligence (Acceptance rate of 24.6%)
Project Research

Migratable AI

We live in a world of personified conversational assistants (agents). We interact with these agents in our daily lives such as smart spea...
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Affective Computing

Advance human wellbeing by developing new ways to communicate, understand, and respond to emotion
Post Research

Meet the 2020 LEGO Papert Fellows

The new LEGO Papert Fellows will spend one week at LEGO headquarters in Denmark to share ideas and collaborate on projects.
Post Research

Human Dynamics team tops Fragile Families Challenge

Media Lab researchers win three of six categories in inaugural contest.
Article Research

Supercomputers help researchers speed drug discovery for Covid-19

An MIT research team is using supercomputers to help develop a drug to treat the disease caused by the novel coronavirus.
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Space Enabled

Advancing justice in Earth's complex systems using designs enabled by space
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Future Sketches

Exploring the essence of code as a creative medium
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Responsive Environments

Augmenting and mediating human experience, interaction, and perception with sensor networks
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Fluid Interfaces

Designing systems for cognitive enhancement
Project Research

UncNet: Modeling uncertainty in deep learning for inherently subjective tasks

Automatic emotion recognition has become a well-established machine learning task in recent years. The sensitive and subjective nature of...
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Lifelong Kindergarten

Engaging people in creative learning experiences
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Camera Culture

Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
Publication Research

Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias

Ghandeharioun, A., Eoff, B., Jou, B., & Picard, R. W. (2019). Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias. arXiv preprint arXiv:1909.09285.
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Scalable Cooperation

Reimagining human cooperation in the age of social media and artificial intelligence
Project Research

Research Area | Emergent Neural Networks to Redesign Clinical Testing of Medicines and Learning from Real World Evidence

Real World Data (RWD) and Real World Evidence (RWE) are playing an increasing role in healthcare decisions to support innovative use of E...
Project Research

Research Area | Application, Interpretability and Clinical Translation of Deep Learning Algorithms for Medical Images

My research reduces dependence on specialized medical imaging devices, biological and chemical processes and creates new paradigms for us...
Project Research

The Deep Image of the City

How do you image a city that doesn't exist? DeepScope is a novel platform for interactive, real-time, and setup-less urban design vi...
Archived
Project Research

TuringBox: Democratizing the study of AI

This work is being continued through The Dalai Lama Center for Ethics and Transformative Values at MIT.TuringBox is a platform&...
Archived
Project Research

AI + Ethics Curriculum for Middle School

How do we raise conscientious consumers and designers of AI?Children today live in the age of artificial intelligence. On average, US chi...
Project Research

Theme | Mobility On-Demand

Urban populations around the world are rapidly growing. To improve livability, urban residents must reduce dependency on fossil fuels and...
Project Research

Personalized Robot Storytelling Companion

Could a social robot collaboratively exchange stories with children as a peer and help improve their linguistic and storytelling skills? ...
Publication Research

Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being

Nosakhare, E., Picard, R. W. Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being," ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’19), August 4–8, 2019, Anchorage, AK, USA. ACM, New York, NY, USA. https://doi.org/10.1145/3292500.3330738
Publication Research

Towards Assessing and Recommending Combinations of Behaviors for Improving Health and Well-Being

Nosakhare, E., and Picard. R. 2019. Toward Assessing and Recommending Combinations of Behaviors for Improving Health and Well-Being. ACM Trans. Comput. Healthcare 1, 1, Article 4 (December 2019), 29 pages.
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Viral Communications

Creating scalable technologies that evolve with user inventiveness
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Sculpting Evolution

Cultivating wisdom through evolutionary and ecological engineering
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Object-Based Media

Changing storytelling, communication, and everyday life through sensing, understanding, and new interface technologies
Project Research

Personalized Machine Learning for Future Health

​The view on Alzheimer’s Disease (AD) diagnosis has shifted towards a more dynamic process in which clinical and pathological markers evo...
Project Research

Augmented Eternity and Swappable Identities

Have you ever wondered what a friend would do if she was in your decision-making situation? Or thought about where a family mem...
Project Research

Paper Dreams

Paper Dreams explores how human creativity can be supported by artificial intelligence.Prior research on AI and creativity has primarily ...
Project Research

INSPIRE

INSPIRE: Intelligence Never Seeks Perfection, Instead Requires Effort.Stories help us expand our sense of what's possible: by hearing fro...
Project Research

SuperGlue Kinesics

The relationship between news content and its presentation has been a long-studied problem in the communications domain. Often, chan...
Article Research

Students push to speed up artificial intelligence adoption in Latin America

To help the region catch up, students organize summit to bring Latin policymakers and researchers to MIT.
Project Research

Reversed Urbanism

Predicting Urban Performance through Behavioral Patterns in Temporal Telecom DataThis study explores a novel method to analyze diverse be...
Article Research

Machine learning shows no difference in angina symptoms between men and women

Finding could help overturn the prevailing notion that men and women experience angina differently.
Project Research

PAL: a wearable on-device deep learning platform for personalized, context-aware, and closed-loop real-time support

OverviewPAL is a  wearable platform for personalized, context-aware, and always-present user change.  PAL has mu...
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Opera of the Future

Extending expression, learning, and health through innovations in musical composition, performance, and participation
Project Research

City Science Lab Andorra

Andorra and the City Science research group at the MIT Media Lab are taking on the challenge of turning Andorra into an “Internationally ...
Archived
Project Research

Predicting Trust Between People

Machine learning model outperforms human judgementOur computational trust model is capable of predicting—above human accuracy—the degree ...
Archived
Archived
Project Research

Intentional Inference of Emotions

Emotion recognition modeled as a goal-directed process!
Archived
Archived
Project Research

Human-Robot Trust

Unconventional mixing of research fields introduces a new method to study human behavior using social robots.
Archived
Archived
Project Research

Artificial listener with social intelligence

A social robot modifies its behavior to change what you think about it!
Archived
Project Research

Lensing: Cardiolinguistics for Atypical Angina

Conversations between two individuals—whether between doctor and patient, mental health therapist and client, or between two people roman...
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Civic Media

Creating technology for social change
Article Research

Detecting patients’ pain levels via their brain signals

System could help with diagnosing and treating noncommunicative patients.
Project Research

Deep Reinforcement Learning for Pain Management

Opioid therapy is the cornerstone of management of pain in the ICU. However, opioids present numerous side effects and are highly addicti...
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Ethics and Governance of Artificial Intelligence

Ethics and Governance of Artificial Intelligence
Archived
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Collective Learning

Transforming data into knowledge
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Personal Robots

Building socially engaging robots and interactive technologies to help people live healthier lives, connect with others, and learn better
Publication Research

Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach

Rudovic, O., Zhang, M, Schuller, B., Picard, R. "Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach", In 2019 International Conference on Multimodal Interaction (ICMI ’19), October 14–18, 2019, Suzhou, China. ACM, New York, NY, USA.
Publication Research

Machine learning algorithms for classification of microcirculation images from septic and non-septic patients

Perikumar Javia, Rana A, Shapiro NI, Shah P. IEEE Xplore, Proceedings of 17th International Conference on Machine Learning and Applications (2018) (Conference acceptance rate: 14%). DOI: 10.1109/ICMLA.2018.00097