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To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.

In “Carbon Removal,” Howard Herzog and Niall MacDowell assess proposed methods of removing carbon already in the atmosphere as a means of mitigating climate change.

Their system uses electrochemically generated bubbles to detach cells from surfaces, which could accelerate the growth of carbon-absorbing algae and lifesaving cell therapies.

McRose, an environmental microbiologist, is recognized for researching the ecological roles of antibiotics in shaping ecosystems, agriculture, and health.

An algorithm can change the face of food assistance policy in the Global South, says MIT assistant professor and J-WAFS researcher Ali Aouad.

MIT postdoc Giorgio Rizzo harnesses plant chemistry to design sustainable fertilizers that could reshape modern farming.

Proposed system would combine two kinds of plants, creating greater efficiency and lowering costs while curbing climate-changing emissions.

The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.

Assistant Professor Priya Donti’s research applies machine learning to optimize renewable energy.