Fab Futures / The Academany

The future is a work in progress.

Fab Futures teaches 21st century vocational skills. It is a part of The Academany, the fab lab network's distributed hands-on educational program.

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Fab Futures / Course

Data Science

Data Science introduces the essential methods for working with data, building from first principles to practical applications. Over four weeks, participants learn how to collect, organize, a

Schedule

March 2027 · 9:00–10:30A EDT

Faculty: Neil Gershenfeld

Connected by curiosity

A different way to learn.

01

Learn from the leaders

Connect with leading experts through the Academany’s distributed educational model.

02

Develop with local groups

Work with peers, mentors, and machines in local fab labs.

03

Share your work with with world

Put ideas into practice through group demonstrations and a personal project.

The learning model

Global knowledge.
Local possibilities.

The Academany (aka The Academy of Almost Anything) grew from the Fab Academy, which was developed to provide hands-on technical training in fab labs. Rather than the traditional educational model of bringing students to a central site, or the online model of students in front of individual screens, it is based on a distributed model: students gather in local learning workgroups in fab labs, with peers, mentors, and machines, and these are in turn connected in a global network with leading experts.

Fab Futures extends this model to 21st century vocational education, taken here to mean training in immediately applicable skills that are in demand for employment and for addressing local needs. Rather than requiring a career choice in advance, Fab Futures offers all of them. It is organized as a never-ending series of one month surveys, each leading to an introductory certificate, which can in turn be combined in a one year diploma program. Each monthly cycle begins with a survey of the field, which is followed by an introduction to the tools that will be used, then group demonstration projects, and finally a personal project. Based on demand, selected one-month units may also be expanded into new Academany programs.

Meet the faculty

Learn from the people doing it.

Neil Gershenfeld

Neil Gershenfeld

Director, MIT Center for Bits and Atoms

Alexander Wynn

Alexander Wynn

Lincoln lab MIT

Ralph Droms

Ralph Droms

Staff Software Engineer at Google

Your next possibility

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