Project Overview

In order to improve the accessibility of STEM education we are undertaking research to understand and improve diversity, equity, inclusion, and belonging in STEM education globally and to design new interdisciplinary, project-based, open-access courses that lower the barrier to entry of cutting edge topics like robotics and embedded machine learning.

As a part of this effort we help lead the Tiny Machine Learning Open Education Initiative (TinyMLedu).

Publications

• Jeremiah Blanchard , John R. Hott , Vincent Berry , Rebecca Carroll , Bob Edmison , Richard Glassey , Oscar Karnalim , Brian Plancher , Seán Russell (2022). Leveraging Community Software in CS Education to Avoid Reinventing the Wheel. In ITiCSE 2022.
  

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• [Advised Thesis] Dhilan Ramaprasad (2022). Teaching Embedded Systems Programming. Harvard University Bachelors of Arts Thesis.
  

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• Marco Zennaro , Brian Plancher , Vijay Janapa Reddi (2022). TinyML: Applied AI for Development. In UN STI Forum 2022.
  

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• Brian Plancher , Vijay Janapa Reddi (2022). TinyMLedu: The Tiny Machine Learning Open Education Initiative. In SIGCSE 2022.
  

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• Vijay Janapa Reddi , Brian Plancher , Susan Kennedy , Laurence Moroney , Pete Warden , Anant Agarwal , Colby Banbury , Massimo Banzi , Matthew Bennett , Benjamin Brown , Sharad Chitlangia , Radhika Ghosal , Sarah Grafman , Rupert Jaeger , Srivatsan Krishnan , Maximilian Lam , Daniel Leiker , Cara Mann , Mark Mazumder , Dominic Pajak , Dhilan Ramaprasad , J. Evan Smith , Matthew Stewart , Dustin Tingley (2022). Widening Access to Applied Machine Learning with TinyML. In HDSR 2022.
  

  PDF Cite DOI Course Main Page TinyML Open Education Initiative MOOC Website MOOC Course Materials

• Sertac Karaman , Ariel Anders , Michael Boulet , Jane Connor , Kenneth Gregson , Winter Guerra , Owen Guldner , Mubarik Mohamoud , Brian Plancher , Robert Shin , John Vivilecchia (2017). Project-based, collaborative, algorithmic robotics for high school students: Programming self-driving race cars at MIT. In ISEC 2017.
  

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Courses

• EASI-22: Edge AI Summer Institute

  Summer 2022
  Website

• SciTinyML-22: Scientific Use of Machine Learning on Low-Power Devices

  Spring/Summer 2022
  Website Africa: My 1st Session Slides Video Africa: My 2nd Session Slides Video

• SciTinyML-21: Scientific Use of Machine Learning on Low-Power Devices

  Fall 2021
  Website My Session Slides My Session Video

• CRESTLEX 3.0 - CReating Effective STem Learning EXperiences

  Summer 2021
  Website

• HarvardX: Tiny Machine Learning MOOC

  Launched Fall 2020 - Winter 2022
  Course White Paper MOOC Website Course Materials TinyML Open Education Initiative Discourse Forum

Collaborators

• Anant Agarwal
• Ariel Anders
• Benjamin Brown
• Bob Edmison
• Cara Mann
• Colby Banbury
• Daniel Leiker
• Dhilan Ramaprasad
• Dhilan Ramaprasad
• Dominic Pajak
• Dustin Tingley
• Gregg Barrett
• Hal Speed
• J. Evan Smith
• Jane Connor
• Jeremiah Blanchard
• John Vivilecchia
• John R. Hott
• Kenneth Gregson
• Laurence Moroney
• Marcelo Rovai
• Marco Zennaro
• Mark Mazumder
• Massimo Banzi
• Matthew Bennett
• Matthew Stewart
• Maximilian Lam
• Michael Boulet
• Mubarik Mohamoud
• Oscar Karnalim
• Owen Guldner
• Pete Warden
• Radhika Ghosal
• Rebecca Carroll
• Richard Glassey
• Robert Shin
• Rupert Jaeger
• Sarah Grafman
• Seán Russell
• Sertac Karaman
• Sharad Chitlangia
• Srivatsan Krishnan
• Susan Kennedy
• Vijay Janapa Reddi
• Vincent Berry
• Winter Guerra