{
  "generated_at": "2026-09-24T02:15:44.088Z",
  "count": 39,
  "labs": [
    {
      "type": "lab",
      "id": "lab-001",
      "slug": "humanities-ai-lab",
      "name": "Humanities & AI Lab (HAIL)",
      "url": "https://terrierintelligence.com/labs/humanities-ai-lab",
      "topics": [
        "Ethics",
        "Policy",
        "Social Science",
        "Humanities"
      ],
      "last_verified": "2026-08-23",
      "image_url": "https://terrierintelligence.com/logos/humanities-ai-lab.jpg",
      "department": "Philosophy",
      "description_short": "An interdisciplinary research group examining social, political, and ethical questions raised by AI from both humanities and technical perspectives, open to undergraduate and graduate students.",
      "description_long": "HAIL is a humanities-focused working group studying the ethical and social dimensions of AI. Students, advised by BU faculty, collaborate each semester on a project culminating in a concrete deliverable. The inaugural spring 2026 cohort produced a white paper on BU's AI student certificate program.\n\nFall 2026 interest form: https://forms.gle/kMK5u3SouXkTGkie7",
      "research_areas": [
        "Ethics",
        "Policy",
        "Social Science",
        "Humanities"
      ],
      "website_url": "https://www.bu.edu/philo/community/the-humanities-and-artificial-intelligence-lab/",
      "lead_professor_ids": [
        "prof-016",
        "prof-017"
      ],
      "location": "Department of Philosophy",
      "status": "active",
      "last_verified_date": "2026-08-23",
      "verified": true,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": "2026-08-23T05:19:03.288+00:00"
    },
    {
      "type": "lab",
      "id": "lab-002",
      "slug": "ai-research-initiative",
      "name": "AI Research Initiative (AIR)",
      "url": "https://terrierintelligence.com/labs/ai-research-initiative",
      "topics": [
        "Computer Vision",
        "ML Theory",
        "NLP/LLMs",
        "Generative AI/Tools"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/ai-research-initiative.png",
      "department": "Hariri Institute",
      "description_short": "A cross-disciplinary research initiative developing computational models for machine intelligence: systems that reliably make decisions, reason about data, and communicate with humans.",
      "description_long": "A research initiative connecting BU faculty and doctoral students working toward general artificial intelligence: agents with human-like skills and learning. Its scope spans computer vision, natural language processing, and robotics, and its seminar series features PhD student presentations alongside visiting speakers from academia and industry.",
      "research_areas": [
        "Computer Vision",
        "ML Theory",
        "NLP/LLMs",
        "Generative AI/Tools"
      ],
      "website_url": "https://www.bu.edu/hic/centers-and-initiatives-2/air/",
      "lead_professor_ids": [
        "prof-001",
        "prof-005"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-003",
      "slug": "ai-and-education-initiative",
      "name": "AI and Education Initiative",
      "url": "https://terrierintelligence.com/labs/ai-and-education-initiative",
      "topics": [
        "Education",
        "NLP/LLMs",
        "Computer Vision",
        "Robotics"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/ai-and-education-initiative.png",
      "department": "Hariri Institute · Wheelock",
      "description_short": "A cross-disciplinary initiative facilitating research on AI and human learning across ages and contexts, drawing on computing, education, and social-science perspectives.",
      "description_long": "A university-wide research initiative examining how AI affects learning, education, and human development. It funds faculty research grants and doctoral student fellowships, hosts public events, and anchors the Evidence-Based AI in Learning collaborative, which evaluates how generative AI tools affect K-12 student outcomes.",
      "research_areas": [
        "Education",
        "NLP/LLMs",
        "Computer Vision",
        "Robotics"
      ],
      "website_url": null,
      "lead_professor_ids": [
        "prof-018",
        "prof-019",
        "prof-020",
        "prof-021",
        "prof-022",
        "prof-023"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-004",
      "slug": "eval-collaborative",
      "name": "Evidence-Based AI in Learning (EVAL) Industry Collaborative",
      "url": "https://terrierintelligence.com/labs/eval-collaborative",
      "topics": [
        "Education",
        "Statistics"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/eval-collaborative.png",
      "department": "Hariri Institute",
      "description_short": "A research collaborative evaluating how generative AI tools affect K-12 learning outcomes through independent studies conducted with EdTech industry partners.",
      "description_long": "An education-focused research collaborative running randomized controlled trials of AI tools for literacy, mathematics, and science instruction. Partner companies supply technical support only: the group retains control of study design and analysis and commits to publishing results regardless of outcome, building an evidence base for AI in schools.",
      "research_areas": [
        "Education",
        "Statistics"
      ],
      "website_url": "https://www.bu.edu/hic/centers-initiatives-labs/eval/",
      "lead_professor_ids": [
        "prof-023"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-005",
      "slug": "aiem",
      "name": "Artificial Intelligence and Emerging Media (AIEM)",
      "url": "https://terrierintelligence.com/labs/aiem",
      "topics": [
        "ML Theory",
        "NLP/LLMs",
        "Computer Vision"
      ],
      "last_verified": "2026-08-23",
      "image_url": "https://terrierintelligence.com/logos/aiem.jpg",
      "department": "COM · Hariri Institute",
      "description_short": "A media-focused research group applying machine learning, natural language processing, and computer vision to study how emerging media shape mass and interpersonal communication.",
      "description_long": "A research group examining how media evolves through interaction between automated systems and their users, analyzing large-scale social data. Projects have included sentiment analysis during a US presidential election and studies of international news coverage; open research meetings let interested students gain exposure to ongoing work.",
      "research_areas": [
        "ML Theory",
        "NLP/LLMs",
        "Computer Vision"
      ],
      "website_url": "https://sites.bu.edu/aiem/",
      "lead_professor_ids": [],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-23",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": "2026-08-23T04:42:28.15+00:00"
    },
    {
      "type": "lab",
      "id": "lab-006",
      "slug": "batman-lab",
      "name": "Batman Lab",
      "url": "https://terrierintelligence.com/labs/batman-lab",
      "topics": [
        "Healthcare",
        "ML Theory",
        "Computer Vision"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/batman-lab.png",
      "department": "Electrical & Computer Engineering",
      "description_short": "A machine-learning research group building explainable, data-efficient models for medical image analysis, with attention to multimodal fusion and causal inference.",
      "description_long": "A healthcare-focused ML research group asking how models can remain trustworthy in clinical use. It develops deep learning, vision-language, and causal-inference methods for diagnostic imaging, applied to breast cancer, chronic obstructive pulmonary disease, and Alzheimer's disease, and trains PhD, master's, and undergraduate researchers.",
      "research_areas": [
        "Healthcare",
        "ML Theory",
        "Computer Vision"
      ],
      "website_url": "https://www.batman-lab.com/",
      "lead_professor_ids": [
        "prof-009"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-007",
      "slug": "bmerc",
      "name": "BioMolecular Engineering Research Center (BMERC)",
      "url": "https://terrierintelligence.com/labs/bmerc",
      "topics": [
        "Healthcare",
        "Data Science"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/bmerc.jpg",
      "department": "Bioinformatics · BME",
      "description_short": "A computational biology research center developing computer-assisted methods to analyze and design the structure, function, and regulation of biological macromolecules.",
      "description_long": "A research center connecting basic molecular biology with engineering and medical applications through computational analysis of macromolecular structure and evolution. It links faculty across chemistry, biology, and engineering departments and provides collaborative research support and training, with particular focus on graduate students.",
      "research_areas": [
        "Healthcare",
        "Data Science"
      ],
      "website_url": "https://www.bu.edu/bmerc/",
      "lead_professor_ids": [],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-008",
      "slug": "2ai2bio",
      "name": "Bridges from AI to Understanding and Reprograming Biology (2AI2BIO)",
      "url": "https://terrierintelligence.com/labs/2ai2bio",
      "topics": [
        "Healthcare",
        "ML Theory",
        "Data Science"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/2ai2bio.jpg",
      "department": "Bioinformatics · BME · CS",
      "description_short": "A bioinformatics-focused research group bridging AI and biomedical science, developing machine-learning algorithms to decode, model, and reprogram genomic and biological systems.",
      "description_long": "A computational biology research group applying network biology, graphical models, and high-performance algorithms to genomic systems. Applications include gene function prediction, disease-network identification, and drug side-effect detection, spanning cancer, diabetes, and aging. Students working with the group have led selected research projects.",
      "research_areas": [
        "Healthcare",
        "ML Theory",
        "Data Science"
      ],
      "website_url": "https://sites.bu.edu/phenogeno/",
      "lead_professor_ids": [
        "prof-010"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": "2026-08-23T06:25:56.63+00:00"
    },
    {
      "type": "lab",
      "id": "lab-009",
      "slug": "bit-lab",
      "name": "Business Insights through Text (BIT) Lab",
      "url": "https://terrierintelligence.com/labs/bit-lab",
      "topics": [
        "Data Science",
        "NLP/LLMs",
        "Generative AI/Tools"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/bit-lab.jpg",
      "department": "Questrom",
      "description_short": "A business-analytics research group extracting consumer-behavior and market insights from text data using causal inference, interpretable ML, and neural language processing.",
      "description_long": "A text-analytics research group asking how large-scale language data can test and extend theories of consumer behavior and markets. Combining generative models with Bayesian statistics and deep learning, its projects span persuasion, platform design, and human-AI collaboration, and doctoral researchers from BU and partner universities participate.",
      "research_areas": [
        "Data Science",
        "NLP/LLMs",
        "Generative AI/Tools"
      ],
      "website_url": "https://www.leedokyun.com/bitlab.html",
      "lead_professor_ids": [
        "prof-011"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-010",
      "slug": "computer-vision-and-learning-group",
      "name": "Computer Vision and Learning Group",
      "url": "https://terrierintelligence.com/labs/computer-vision-and-learning-group",
      "topics": [
        "Computer Vision",
        "ML Theory",
        "NLP/LLMs"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/computer-vision-and-learning-group.png",
      "department": "Computer Science",
      "description_short": "A computer-vision research group studying how models adapt across data distributions, with work on domain adaptation, learning with limited labels, and vision-language tasks.",
      "description_long": "A machine-learning research group examining why vision models fail on data unlike their training sets. Its methods include adversarial training and multi-source adaptation, and it released the DomainNet cross-domain benchmark dataset; applications include robot grasping, video understanding, and studies of bias in image-captioning models.",
      "research_areas": [
        "Computer Vision",
        "ML Theory",
        "NLP/LLMs"
      ],
      "website_url": "https://ai.bu.edu/",
      "lead_professor_ids": [
        "prof-001"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-011",
      "slug": "data-science-machine-learning-lab",
      "name": "Data Science & Machine Learning Lab (Saligrama Lab)",
      "url": "https://terrierintelligence.com/labs/data-science-machine-learning-lab",
      "topics": [
        "ML Theory",
        "Computer Vision",
        "Statistics"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/data-science-machine-learning-lab.jpg",
      "department": "Electrical & Computer Engineering",
      "description_short": "A machine-learning research group developing methods that work under resource constraints and limited supervision, with related projects on bias mitigation and network analysis.",
      "description_long": "A research group led by Venkatesh Saligrama studying how ML systems learn efficiently, including federated learning, budgeted prediction, and selective classification. Other projects examine zero-shot and few-shot learning and detect anomalies and community structure in graphs. PhD students conduct the group's research.",
      "research_areas": [
        "ML Theory",
        "Computer Vision",
        "Statistics"
      ],
      "website_url": "https://sites.bu.edu/data/",
      "lead_professor_ids": [
        "prof-002"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-012",
      "slug": "image-and-video-computing",
      "name": "Image and Video Computing (IVC)",
      "url": "https://terrierintelligence.com/labs/image-and-video-computing",
      "topics": [
        "Computer Vision",
        "ML Theory",
        "HCI"
      ],
      "last_verified": "2026-08-25",
      "image_url": "https://terrierintelligence.com/logos/image-and-video-computing.jpg",
      "department": "Computer Science",
      "description_short": "A computer-vision research group developing methods for image and video analysis, machine learning, and human-computer interaction across medical and scientific applications.",
      "description_long": "A group bringing together computer science faculty working on detection, segmentation, and tracking in visible-light, infrared, and x-ray image data. Applications range from medical image analysis to tracking people, animals, and live cells, and the group releases image datasets for public use.",
      "research_areas": [
        "Computer Vision",
        "ML Theory",
        "HCI"
      ],
      "website_url": "https://www.bu.edu/cs/ivc/",
      "lead_professor_ids": [],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-25",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-014",
      "slug": "shape-lab",
      "name": "Shape Lab",
      "url": "https://terrierintelligence.com/labs/shape-lab",
      "topics": [
        "HCI"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/shape-lab.webp",
      "department": "Computer Science",
      "description_short": "A computer-graphics research group focused on computational fabrication, designing algorithms that connect digital 3D models to physically buildable objects and structures.",
      "description_long": "A research group led by Emily Whiting combining computational design with engineering mechanics. Projects apply topology optimization, differentiable design tools, and strain analysis to problems such as interlocking assemblies and fabric formwork, with applications in architecture and sports technology. PhD students publish at graphics and fabrication venues.",
      "research_areas": [
        "HCI"
      ],
      "website_url": "https://shape.bu.edu/",
      "lead_professor_ids": [
        "prof-013"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-015",
      "slug": "vip-lab",
      "name": "Visual Information Processing (VIP) Lab",
      "url": "https://terrierintelligence.com/labs/vip-lab",
      "topics": [
        "Computer Vision",
        "ML Theory",
        "Statistics"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/vip-lab.png",
      "department": "Electrical & Computer Engineering",
      "description_short": "A computer-vision research group building camera-based sensing systems that count and locate people in large indoor spaces using overhead fisheye imagery.",
      "description_long": "A research group applying ML to camera data for occupancy sensing and gesture-based user authentication. Its people-counting systems support space management, building energy savings, and emergency response, and the group releases public datasets for these tasks. Graduate and undergraduate students have worked on its projects.",
      "research_areas": [
        "Computer Vision",
        "ML Theory",
        "Statistics"
      ],
      "website_url": "https://vip.bu.edu/",
      "lead_professor_ids": [
        "prof-014"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-016",
      "slug": "ai-development-accelerator-aida",
      "name": "AI Development Accelerator (AIDA)",
      "url": "https://terrierintelligence.com/labs/ai-development-accelerator-aida",
      "topics": [
        "Generative AI/Tools",
        "Education",
        "Ethics",
        "Boston University"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/ai-development-accelerator-aida.jpg",
      "department": "University-wide",
      "description_short": "A university-wide initiative guiding responsible generative-AI adoption across BU, providing supported AI tools, training, and events for students, faculty, and staff.",
      "description_long": "A presidential initiative that gives the BU community access to generative-AI tools, including TerrierGPT, with data-protection safeguards. Students can pursue the AI at BU Student Certificate, while faculty and staff workshops, discovery sessions, and symposiums address AI use in classrooms and university work.",
      "research_areas": [
        "Generative AI/Tools",
        "Education",
        "Ethics",
        "Boston University"
      ],
      "website_url": "https://www.bu.edu/aida/",
      "lead_professor_ids": [
        "prof-246"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-017",
      "slug": "algorithmic-lens-on-experimental-biology-laboratory",
      "name": "Algorithmic Lens on Experimental Biology Laboratory",
      "url": "https://terrierintelligence.com/labs/algorithmic-lens-on-experimental-biology-laboratory",
      "topics": [
        "Healthcare",
        "ML Theory",
        "Data Science"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/algorithmic-lens-on-experimental-biology-laboratory.jpg",
      "department": "Biomedical Engineering / Biology / CDS",
      "description_short": "A computational-biology research group using the mathematics of machine learning to design biological experiments that reveal how cells and tissues are organized.",
      "description_long": "A research group led by Brian Cleary that pairs computational and experimental methods to study gene regulation and the spatial organization of gene expression in tissues. Projects use random composite measurements and low-dimensional structure to make otherwise impractical experiments feasible; the lab recruits PhD students and postdoctoral researchers.",
      "research_areas": [
        "Healthcare",
        "ML Theory",
        "Data Science"
      ],
      "website_url": "https://www.algobiolab.com",
      "lead_professor_ids": [
        "prof-056"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-018",
      "slug": "artificial-and-biological-intelligence-lab",
      "name": "Artificial and Biological Intelligence Lab",
      "url": "https://terrierintelligence.com/labs/artificial-and-biological-intelligence-lab",
      "topics": [
        "ML Theory",
        "Healthcare"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/artificial-and-biological-intelligence-lab.jpg",
      "department": "Biomedical Engineering",
      "description_short": "A computational-neuroscience research group building mathematical and ML models of how populations of neurons compute to produce behaviors such as decision-making and movement.",
      "description_long": "A research group led by Brian DePasquale that analyzes neural recordings with tailored ML models and builds artificial neural networks whose structure mirrors biological circuits. Projects include modeling olfaction with graph neural networks, training spiking networks, and developing open-source state-space modeling software in Julia.",
      "research_areas": [
        "ML Theory",
        "Healthcare"
      ],
      "website_url": "https://depasquale-lab.github.io/",
      "lead_professor_ids": [
        "prof-057"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-019",
      "slug": "barnes-group",
      "name": "Barnes Group",
      "url": "https://terrierintelligence.com/labs/barnes-group",
      "topics": [
        "ML Theory",
        "AI Safety",
        "Environment"
      ],
      "last_verified": "2026-09-11",
      "image_url": "https://ksjefankhhcvtuhpuefz.supabase.co/storage/v1/object/public/logos/lab-019-logo_url-7a13cc7a.png",
      "department": "Earth & Environment / CDS",
      "description_short": "A climate-focused research group developing interpretable AI methods to study Earth system variability, predictability, and change across time and space.",
      "description_long": "A research group led by Elizabeth Barnes, an atmospheric scientist, designing AI-for-science tools. The group applies these methods to anticipate human-Earth system futures, connecting climate modeling with machine-learning research in support of environmental sustainability.\n\nStudents interested in research positions should \"email Prof. Barnes with a short note about your background and research interests.\"",
      "research_areas": [
        "ML Theory",
        "AI Safety",
        "Environment"
      ],
      "website_url": "https://barnes-research.com/",
      "lead_professor_ids": [
        "prof-081"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-09-11",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": "2026-09-11T06:07:35.345+00:00"
    },
    {
      "type": "lab",
      "id": "lab-020",
      "slug": "bu-robotics-laboratory",
      "name": "BU Robotics Laboratory",
      "url": "https://terrierintelligence.com/labs/bu-robotics-laboratory",
      "topics": [
        "Robotics",
        "ML Theory"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/bu-robotics-laboratory.jpg",
      "department": "College of Engineering / CARS",
      "description_short": "An experimental robotics facility housing a motion-capture system, autonomous ground and aerial vehicles, and an on-site workshop for building robots.",
      "description_long": "A laboratory in BU's Engineering Product Innovation Center that supports research on autonomous vehicles and multi-robot systems. A fifty-camera motion-capture system and short-throw projectors create controlled test environments, and members build and repair custom robots in the workshop. The space accommodates about thirty students and postdocs.",
      "research_areas": [
        "Robotics",
        "ML Theory"
      ],
      "website_url": "https://sites.bu.edu/robotics/",
      "lead_professor_ids": [],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-021",
      "slug": "center-for-autonomous-and-robotics-systems-cars",
      "name": "Center for Autonomous and Robotics Systems (CARS)",
      "url": "https://terrierintelligence.com/labs/center-for-autonomous-and-robotics-systems-cars",
      "topics": [
        "Robotics",
        "ML Theory"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/center-for-autonomous-and-robotics-systems-cars.jpg",
      "department": "College of Engineering",
      "description_short": "An interdisciplinary engineering center studying the science of autonomy, robotic vehicles and manipulators, and micron-scale robots that manipulate living cells.",
      "description_long": "A robotics-focused research center examining how autonomous systems can act safely in physical environments where neural-network behavior remains hard to predict. Work spans experiments with laboratory manipulators and magnetic-field control of robots that organize cells carrying synthetic genetic circuits, a step toward automated tissue engineering.",
      "research_areas": [
        "Robotics",
        "ML Theory"
      ],
      "website_url": "https://www.bu.edu/eng/2018/03/12/center-for-autonomous-and-robotics-systems/",
      "lead_professor_ids": [],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-022",
      "slug": "computational-imaging-systems-lab",
      "name": "Computational Imaging Systems Lab",
      "url": "https://terrierintelligence.com/labs/computational-imaging-systems-lab",
      "topics": [
        "Computer Vision",
        "Healthcare",
        "ML Theory"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/computational-imaging-systems-lab.jpg",
      "department": "Electrical & Computer Engineering",
      "description_short": "A computational-imaging research group combining physics-based optical models with deep learning to build microscopy and measurement systems for neuroscience, cancer research, and semiconductor metrology.",
      "description_long": "An optics-focused research group creating new ways to measure the world with light. Methods include computational phase microscopy, digital holography, and intensity diffraction tomography; recent projects apply self-supervised deep learning to denoise voltage recordings of neural activity, with support from funders including NSF, NIH, and the BRAIN Initiative.",
      "research_areas": [
        "Computer Vision",
        "Healthcare",
        "ML Theory"
      ],
      "website_url": "https://sites.bu.edu/tianlab/",
      "lead_professor_ids": [
        "prof-129"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-023",
      "slug": "dependable-computing-laboratory",
      "name": "Dependable Computing Laboratory",
      "url": "https://terrierintelligence.com/labs/dependable-computing-laboratory",
      "topics": [
        "AI Safety",
        "ML Theory",
        "Robotics",
        "Security"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/dependable-computing-laboratory.jpg",
      "department": "Electrical & Computer Engineering",
      "description_short": "A formal-methods research group pairing computational proof techniques with machine learning to build safe, reliable, and secure hardware and software systems.",
      "description_long": "A verification-focused research group asking how machine-learned components can be made trustworthy enough for safety-critical use. It develops proof and analysis techniques for systems ranging from electronic design automation to multi-robot teams and self-driving cars, with support from agencies including NSF and DARPA.",
      "research_areas": [
        "AI Safety",
        "ML Theory",
        "Robotics",
        "Security"
      ],
      "website_url": "https://sites.bu.edu/depend/",
      "lead_professor_ids": [
        "prof-197"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-024",
      "slug": "digital-business-institute-generative-ai-lab",
      "name": "Digital Business Institute Generative AI Lab",
      "url": "https://terrierintelligence.com/labs/digital-business-institute-generative-ai-lab",
      "topics": [
        "Generative AI/Tools",
        "NLP/LLMs",
        "Data Science"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/digital-business-institute-generative-ai-lab.png",
      "department": "Questrom / Digital Business Institute",
      "description_short": "A business-school research initiative examining how generative AI affects firms, operations, markets, and work, including large language model reliability and algorithmic bias.",
      "description_long": "A management-focused research initiative studying the responsible adoption of generative AI across industries. Faculty fellows publish peer-reviewed work on questions such as whether large language models can stand in for human research subjects and how AI collaboration shapes creative output, and convene monthly research seminars and an annual symposium.",
      "research_areas": [
        "Generative AI/Tools",
        "NLP/LLMs",
        "Data Science"
      ],
      "website_url": "https://www.bu.edu/dbi/",
      "lead_professor_ids": [
        "prof-011"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-025",
      "slug": "human-ai-interaction-in-recruiting-employment-hire-lab",
      "name": "Human-AI Interaction in Recruiting & Employment (HIRE) Lab",
      "url": "https://terrierintelligence.com/labs/human-ai-interaction-in-recruiting-employment-hire-lab",
      "topics": [
        "HCI",
        "Policy",
        "Data Science"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/human-ai-interaction-in-recruiting-employment-hire-lab.png",
      "department": "Questrom / Information Systems",
      "description_short": "An economics-focused research group studying how AI and digital platforms reshape hiring, labor-market matching, and work, using platform data and randomized experiments.",
      "description_long": "A labor-economics research group asking not only whether AI raises productivity but who benefits and which design choices improve job matching. It runs large-scale field experiments with hiring platforms and inside organizations; BU students, including undergraduates, serve as research assistants.",
      "research_areas": [
        "HCI",
        "Policy",
        "Data Science"
      ],
      "website_url": "https://www.emmawiles.com/",
      "lead_professor_ids": [
        "prof-085"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-026",
      "slug": "hybrid-and-networked-systems-hyness-lab",
      "name": "Hybrid and Networked Systems (HyNeSs) Lab",
      "url": "https://terrierintelligence.com/labs/hybrid-and-networked-systems-hyness-lab",
      "topics": [
        "Robotics",
        "AI Safety",
        "ML Theory"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/hybrid-and-networked-systems-hyness-lab.jpg",
      "department": "Mechanical Engineering / ECE / Systems Engineering",
      "description_short": "A control-theory research group combining formal methods, dynamics, and machine learning to design provably correct behavior for robots and autonomous vehicles.",
      "description_long": "A cyber-physical-systems research group translating requirements expressed in formal logic into controllers with mathematical guarantees on behavior. Current themes include safe and interpretable reinforcement learning, autonomous driving that complies with traffic rules, and coordination of heterogeneous robot teams, with additional applications in synthetic biology.",
      "research_areas": [
        "Robotics",
        "AI Safety",
        "ML Theory"
      ],
      "website_url": "https://sites.bu.edu/hyness/",
      "lead_professor_ids": [],
      "location": null,
      "status": "inactive",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-23T01:51:10.297386+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-027",
      "slug": "kolachalama-lab",
      "name": "Kolachalama Lab",
      "url": "https://terrierintelligence.com/labs/kolachalama-lab",
      "topics": [
        "Healthcare",
        "Computer Vision",
        "NLP/LLMs"
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      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/kolachalama-lab.png",
      "department": "Medicine / Computer Science / CDS",
      "description_short": "A medical-AI research group creating machine-learning methods shaped to clinical problems, from dementia assessment to trial design, rather than forcing problems onto existing tools.",
      "description_long": "A clinically focused machine-learning group whose projects span Alzheimer's disease frameworks that augment clinical trials, models for hearing and communication disorders, and agentic AI systems for medical tasks. Trainees come from computing, engineering, and medicine, and publish in both medical and ML venues.",
      "research_areas": [
        "Healthcare",
        "Computer Vision",
        "NLP/LLMs"
      ],
      "website_url": "https://vkola-lab.github.io/",
      "lead_professor_ids": [
        "prof-193"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": "2026-08-23T06:21:05.131+00:00"
    },
    {
      "type": "lab",
      "id": "lab-028",
      "slug": "seclabu",
      "name": "Security Lab (SeclaBU)",
      "url": "https://terrierintelligence.com/labs/seclabu",
      "topics": [
        "AI Safety",
        "ML Theory",
        "NLP/LLMs",
        "Security"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/seclabu.png",
      "department": "Electrical & Computer Engineering",
      "description_short": "A security-focused research group applying program analysis, machine learning, and computational social science to software vulnerabilities and harmful online activity.",
      "description_long": "A systems-and-society security research group studying threats that range from malware and hypervisor bugs to chatbot toxicity and state-sponsored disinformation. Graduate and undergraduate researchers contribute to published studies, including student-led work on unsafe experiences in Instagram direct messages, presented at peer-reviewed security venues.",
      "research_areas": [
        "AI Safety",
        "ML Theory",
        "NLP/LLMs",
        "Security"
      ],
      "website_url": "https://seclab.bu.edu/",
      "lead_professor_ids": [
        "prof-094"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-029",
      "slug": "machine-learning-research-group",
      "name": "Machine Learning Research Group",
      "url": "https://terrierintelligence.com/labs/machine-learning-research-group",
      "topics": [
        "ML Theory",
        "Computer Vision",
        "NLP/LLMs",
        "Robotics",
        "HCI"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/machine-learning-research-group.jpg",
      "department": "Computer Science",
      "description_short": "A department-wide research community whose faculty build intelligent systems that learn to make decisions, reason about data, and communicate with people.",
      "description_long": "An umbrella research group connecting faculty across machine learning, computer vision, and natural language processing as part of BU's Artificial Intelligence Research initiative. Affiliated groups include the Vision and Learning Group, the Image and Video Computing Group, and the Artificial Intelligence and Emerging Media lab.",
      "research_areas": [
        "ML Theory",
        "Computer Vision",
        "NLP/LLMs",
        "Robotics",
        "HCI"
      ],
      "website_url": "https://www.bu.edu/cs/research-groups/ml/",
      "lead_professor_ids": [],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-030",
      "slug": "material-robotics-laboratory",
      "name": "Material Robotics Laboratory",
      "url": "https://terrierintelligence.com/labs/material-robotics-laboratory",
      "topics": [
        "Robotics",
        "Healthcare",
        "Computer Vision"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/material-robotics-laboratory.jpg",
      "department": "Mechanical Engineering",
      "description_short": "A soft-robotics research group designing flexible, sensorized surgical instruments and the micro-scale manufacturing techniques needed to build them for minimally invasive procedures.",
      "description_long": "A biomedical-robotics research group exploiting material properties to build sensors, actuators, and controllers directly into compliant devices. Projects deliver dexterous instruments through flexible endoscopes so surgeons can reach, sense, and treat tissue deep in the body, with applications in cancer detection and treatment.",
      "research_areas": [
        "Robotics",
        "Healthcare",
        "Computer Vision"
      ],
      "website_url": "https://sites.bu.edu/mrl/",
      "lead_professor_ids": [
        "prof-173"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-031",
      "slug": "multi-robot-systems-lab",
      "name": "Multi-Robot Systems Lab",
      "url": "https://terrierintelligence.com/labs/multi-robot-systems-lab",
      "topics": [
        "Robotics",
        "HCI"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/multi-robot-systems-lab.jpeg",
      "department": "Mechanical Engineering",
      "description_short": "A robotics-focused research group designing collaborative robot teams that make fast, decentralized decisions and adapt to unknown agents and environments.",
      "description_long": "A robotics research group examining how trust, cooperation, and competition shape behavior in multi-robot teams. Methods draw on game theory, nonlinear control, and behavioral decision theory to design coordination strategies with proven performance guarantees. Focus areas include socially aware planning and uncertainty-aware cooperation.",
      "research_areas": [
        "Robotics",
        "HCI"
      ],
      "website_url": "https://sites.bu.edu/pierson/",
      "lead_professor_ids": [
        "prof-036"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-032",
      "slug": "network-optimization-and-control-laboratory",
      "name": "Network Optimization and Control Laboratory",
      "url": "https://terrierintelligence.com/labs/network-optimization-and-control-laboratory",
      "topics": [
        "ML Theory",
        "Robotics",
        "Healthcare",
        "NLP/LLMs"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/network-optimization-and-control-laboratory.jpg",
      "department": "Systems Engineering / ECE",
      "description_short": "A research group focused on optimization, machine learning, and control, developing data-driven methods for networks, autonomous systems, and health analytics.",
      "description_long": "An optimization-focused research group whose work ranges from statistical learning theory to applied deep learning. Projects apply robust learning to protein modeling and computational medicine, reinforcement learning to autonomous systems, and network optimization to supply chains and transportation. Related efforts include natural language processing and health-data analytics.",
      "research_areas": [
        "ML Theory",
        "Robotics",
        "Healthcare",
        "NLP/LLMs"
      ],
      "website_url": "https://sites.bu.edu/paschalidis/",
      "lead_professor_ids": [
        "prof-102"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-033",
      "slug": "nsa-lab",
      "name": "Neural Systems Analysis Laboratory (NSA Lab)",
      "url": "https://terrierintelligence.com/labs/nsa-lab",
      "topics": [
        "Healthcare",
        "Computer Vision",
        "ML Theory"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/nsa-lab.png",
      "department": "Electrical & Computer Engineering",
      "description_short": "A neuroengineering-focused research group developing AI algorithms that analyze neuroimaging, electrophysiology, and genetics data to understand and treat brain disorders.",
      "description_long": "A research group building machine-learning and image-analysis methods for clinical neuroscience. Projects span predictive connectomics, epileptic seizure detection and localization, and preoperative brain mapping from resting-state functional MRI, targeting conditions such as autism, schizophrenia, and epilepsy. The group also releases software tools supporting this research.",
      "research_areas": [
        "Healthcare",
        "Computer Vision",
        "ML Theory"
      ],
      "website_url": "https://www.nsa-lab.org/",
      "lead_professor_ids": [
        "prof-045"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-034",
      "slug": "performance-and-energy-aware-computing-laboratory-peaclab",
      "name": "Performance and Energy-Aware Computing Laboratory (PeacLab)",
      "url": "https://terrierintelligence.com/labs/performance-and-energy-aware-computing-laboratory-peaclab",
      "topics": [
        "Environment",
        "ML Theory",
        "Data Science"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/performance-and-energy-aware-computing-laboratory-peaclab.jpg",
      "department": "Electrical & Computer Engineering",
      "description_short": "A computing-systems research group applying machine learning to energy-efficient computing, from large-scale system analytics to sustainable AI data center management.",
      "description_long": "A research group studying how large computing systems can run efficiently and sustainably. Projects include automated anomaly detection on high-performance computing telemetry, machine-learning-accelerated thermal modeling for chip design, and data center frameworks that regulate power use alongside renewable energy. The lab also runs undergraduate research and outreach programs.",
      "research_areas": [
        "Environment",
        "ML Theory",
        "Data Science"
      ],
      "website_url": "https://www.bu.edu/peaclab/",
      "lead_professor_ids": [
        "prof-048"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-035",
      "slug": "robotics-autonomous-systems-teaching-and-innovation-center-rastic",
      "name": "Robotics & Autonomous Systems Teaching and Innovation Center (RASTIC)",
      "url": "https://terrierintelligence.com/labs/robotics-autonomous-systems-teaching-and-innovation-center-rastic",
      "topics": [
        "Robotics",
        "Computer Vision",
        "ML Theory"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/robotics-autonomous-systems-teaching-and-innovation-center-rastic.jpg",
      "department": "College of Engineering",
      "description_short": "A robotics teaching and innovation facility where engineering students design, build, and test robotic systems with staff guidance and mentoring.",
      "description_long": "A shared teaching facility for hands-on robotics work, open to engineering students across the college. Its zones include a scaled miniature city for testing autonomous-vehicle algorithms, a soft-robotics area for rapid prototyping, and a planning-and-control space for experiments with varied robot platforms. Students can use it for coursework and capstone projects.",
      "research_areas": [
        "Robotics",
        "Computer Vision",
        "ML Theory"
      ],
      "website_url": "https://www.bu.edu/eng/academics/departments-and-divisions/mechanical-engineering/rastic/",
      "lead_professor_ids": [
        "prof-123"
      ],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-036",
      "slug": "vision-and-graphics-research-group",
      "name": "Vision and Graphics Research Group",
      "url": "https://terrierintelligence.com/labs/vision-and-graphics-research-group",
      "topics": [
        "Computer Vision",
        "HCI",
        "ML Theory"
      ],
      "last_verified": "2026-08-22",
      "image_url": "https://terrierintelligence.com/logos/vision-and-graphics-research-group.jpg",
      "department": "Computer Science",
      "description_short": "A computer-science research group spanning computer vision, graphics, and human-computer interaction, with machine learning methods applied across visual computing problems.",
      "description_long": "An umbrella research group uniting several faculty-led labs in visual computing. Member labs include the Image and Video Computing Group, the Computer Graphics and Human-Computer Interaction Lab, and the Shape Design and Computation Lab, covering work from image and video analysis to interactive design and computational geometry.",
      "research_areas": [
        "Computer Vision",
        "HCI",
        "ML Theory"
      ],
      "website_url": "https://www.bu.edu/cs/research-groups/vg/",
      "lead_professor_ids": [],
      "location": null,
      "status": "active",
      "last_verified_date": "2026-08-22",
      "verified": false,
      "created_at": "2026-08-06T19:46:14.692086+00:00",
      "updated_at": null
    },
    {
      "type": "lab",
      "id": "lab-037",
      "slug": "human-to-everything-h2x-lab",
      "name": "Human-to-Everything (H2X) Lab",
      "url": "https://terrierintelligence.com/labs/human-to-everything-h2x-lab",
      "topics": [
        "Robotics",
        "Computer Vision",
        "ML Theory"
      ],
      "last_verified": "2026-08-22",
      "image_url": null,
      "department": "Electrical & Computer Engineering",
      "description_short": "A robotics and AI research group building autonomous systems that assist people in real time, from driving perception to accessible navigation.",
      "description_long": "A research group examining how machine intelligence can serve human needs in autonomous and assistive settings. Methods include deep learning, reinforcement learning, and computer vision, applied to autonomous-driving perception, trajectory prediction, and navigation aids for blind and visually impaired users. Its members include doctoral, master's, and undergraduate students.",
      "research_areas": [
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        "Computer Vision",
        "ML Theory"
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      "website_url": "https://eshed1.github.io/",
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      "url": "https://terrierintelligence.com/labs/tinlab",
      "topics": [
        "NLP/LLMs",
        "ML Theory",
        "HCI"
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      "last_verified": "2026-09-22",
      "image_url": null,
      "department": "Linguistics · Computer Science · CDS",
      "description_short": "A computational-linguistics research group studying meaning, generalization, evaluation, and the representations underlying language in humans and machine-learning models.",
      "description_long": "The group combines computational and experimental methods to compare linguistic behavior across people and language models. Current work examines compositionality, entity tracking, in-context learning, retrieval-augmented models, and evaluation design. Its members span linguistics, cognitive science, computer science, data science, and psychology.",
      "research_areas": [
        "NLP/LLMs",
        "ML Theory",
        "HCI"
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      "website_url": "https://najoung.kim/tinlab/",
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      "name": "Software & Application Innovation Lab (SAIL)",
      "url": "https://terrierintelligence.com/labs/sail",
      "topics": [
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        "NLP/LLMs",
        "Healthcare"
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      "department": "Hariri Institute",
      "description_short": "A research-software lab in the Hariri Institute that builds software, data systems, and secure generative-AI tools for Boston University research teams.",
      "description_long": "Founded in 2015, the lab partners with BU researchers directly, so projects need no vendor contract. Its Sloan Foundation–funded project, Providing Reproducible and Equitable AI Access in Academia (PREAA), develops an open-source generative-AI platform with evaluation, tracing, and governance tools. SAIL also built software for BEACON, an AI outbreak-surveillance system.",
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        "Generative AI/Tools",
        "NLP/LLMs",
        "Healthcare"
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      "website_url": "https://sail.codes",
      "lead_professor_ids": [
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      "location": "665 Commonwealth Ave., 12th Floor",
      "status": "active",
      "last_verified_date": "2026-09-23",
      "verified": false,
      "created_at": "2026-09-22T16:33:51.236028+00:00",
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      "url": "https://terrierintelligence.com/labs/hariri-institute-for-computing",
      "topics": [
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        "Education",
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      "description_short": "A university-wide research institute that brings together faculty and students from BU's 13 schools to advance computing, AI, and data science research.",
      "description_long": "The institute houses the AI Research Initiative, the AI and Education Initiative, and the Software & Application Innovation Lab (SAIL), which builds research software. Its faculty affiliate program links more than 400 researchers, and its BU AI Research Resource program (BU-AIRR) funds cloud computing for AI projects.",
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        "Healthcare",
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        "Boston University"
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      "website_url": "https://www.bu.edu/hic/",
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}