Thesis Research

Prediction and Analysis of Degree of Suicidal Ideation in Online Content

Jones, Noah. Prediction and Analysis of Degree of Suicidal Ideation in Online Content. 2020. MIT, SM Thesis.
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. (*Co-first authors/Equal contribution)
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Project Research

Food Server

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

SuperGlue Kinesics

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

Forecasting Mental Distress using Healthcare Claims Data

Taylor, Sara. Forecasting Mental Distress using Healthcare Claims Data. 2020. MIT, PhD dissertation.
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...
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Research
Open Agriculture (OpenAg)

Open Agriculture Initiative (OpenAg)
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Project Research

Personal Food Computer

The OpenAg™ Personal Food Computer is a tabletop-sized, controlled environment agriculture technology platform that uses robotic systems ...
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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%)
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.
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...
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.
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...
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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&...
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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

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.
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

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...
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.
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

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 ...
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Project Research

Predicting Trust Between People

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

Intentional Inference of Emotions

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

Human-Robot Trust

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

Artificial listener with social intelligence

A social robot modifies its behavior to change what you think about it!
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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...
Article Research

Detecting patients’ pain levels via their brain signals

System could help with diagnosing and treating noncommunicative patients.
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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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Research
Ethics and Governance of Artificial Intelligence

Ethics and Governance of Artificial Intelligence
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.
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Research
Advancing Wellbeing

Advancing Wellbeing
Project Research

MoCho: Mobility choices and societal impacts

MoCho (short for "Mobility Choices") is a CityScope module focused on mobility choices and societal impacts. This tool helps pr...
Publication Research

What's your MoCho? Real-time Mode Choice Prediction Using Discrete Choice Models and a HCI Platform

Doorley, Ronan & Noyman, Ariel & Sakai, Yasushi & Larson, Kent. (2019). What's your MoCho? Real-time Mode Choice Prediction Using Discrete Choice Models and a HCI Platform. UrbComp SIGKDD 2019
Article Research

Bristol-Myers Squibb turns to an AI startup to accelerate cancer research

Pratik Shah speaks on the challenges and opportunities for artificial intelligence and machine learning adoption in clinical development.
Article Research

AI-powered food computers designing new ways of growing crops

MIT initiative is producing climate recipes for tastier crops.
Post Research

Generation AI: Teaching a new kind of tech savvy

This summer, the Personal Robots group will be hosting a week-long workshop at the MIT Media Lab to teach kids about AI and ethics!
Post Research

Affective Computing researchers win Best Paper Award at IEEE BHI 2019

"Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks," by Terumi Umematsu, Akane Sano, Sara Taylor, an...
Publication Research

Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks

Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks." IEEE International Conference on Biomedical and Health Informatics (BHI), Chicago, Illinois, May 2019. (BEST PAPER AWARD - 1st Prize)
Project Research

Improving wellbeing prediction performance using temporal machine learning models

This project aims to improve the prediction accuracy of wellbeing (stress, mood, and health levels) using temporal machine learning model...
Project Research

SNAPSHOT Study

The SNAPSHOT study seeks to measure Sleep, Networks, Affect, Performance, Stress, and Health using Objective Techniques. It is an NIH-fun...
Article Research

AI researchers want to study AI the same way social scientists study humans

Maybe we don’t need to look inside the black box after all. We just need to watch how machines behave, instead.
Article Research

Forget about artificial intelligence, extended intelligence is the future

We should challenge the cult of Singularity. AI won't take over the world.
Publication Research

Machine behaviour

Rahwan, Iyad, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, et al. “Machine Behaviour.” Nature 568, no. 7753 (April 2019): 477. https://doi.org/10.1038/s41586-019-1138-y.
Post Research

Studying the behavior of AI

A new paper frames the emerging interdisciplinary field of machine behavior
Project Research

Big Ocean, Big Data

More ocean data has been collected in the last two years than in all previous years combined, and we are on a path to continue to break t...
Project Research

The Electome: Measuring responsiveness in the 2016 election

The Electome: Where AI meets political journalismThe Electome project is a machine-driven mapping and analysis of public sphere content a...
Project Research

Learning via Social Awareness: Improving sketch representations with facial feedback

In the quest towards general artificial intelligence (AI), researchers have explored developing loss functions that act as intrinsic moti...
Project Research

The Ripple Effect: You are more influential than you think

The well-known "small-world" phenomenon indicates that an individual can be connected with any other in the world through a limited numbe...
Project Research

RoboChain: A secure data-sharing framework for human-robot interaction

A learning framework for secure, decentralized, computationally efficient data and model sharing among multiple robot units installed at...
Project Research

Recurrent neural network in context-free next-location prediction

Location prediction is a critical building block in many location-based services and transportation management. This project explores the...
Project Research

Blockchain: A new framework for robotic swarm systems

Swarms of robots will revolutionize many applications, from targeted material delivery to farming. However, the characteristics that make...
Project Research

Unspoken News

How something is presented can be as important as the message itself.In the age of political polarization and election meddling, it is of...
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Project Research

News Graph

This project aims to show a different picture of the data behind the news, looking at how we analyze, represent, and interact with it.&nb...
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Project Research

Evolutron: Deep Learning for Protein Design

Technological advances in the past decade have allowed us to take a close look at the proteomes of living organisms. As a result, more th...
Article Research

When the Robot Doesn’t See Dark Skin

A.I. systems are shaped by the priorities and prejudices…of the people who design them, a phenomenon that I refer to as "the coded gaze."
Project Research

Personalized Machine Learning for Autism Therapy

EngageME: Personalized machine learning and humanoid robots for measuring affect and engagement of children with autismEngageME is a proj...
Project Research

RFIQ: Food quality and safety detection using wireless stickers

​We have developed a wireless system that leverages the inexpensive RFID tags already on hundreds of billions of products to sense potent...
Project Research

Actionable Auditing: Coordinated bias disclosure study

Algorithmic auditing has emerged as a key strategy to expose systematic biases embedded in software platforms, yet scholarship on the imp...
Project Research

Predicting Bonding in Conversations

We show that using thin slices (< 1 minute) of facial expression and body language data, we can train a deep neural network to predict...
Publication Research

Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy

Rudovic, O., Lee, J., Dai, M., Schuller, B. , Picard, R. W., " Personalized machine learning for robot perception of affect and engagement in autism therapy," Science Robotics, June 2018.