She Put the First Rover on Mars, Breaking the Glass Ceiling for Women at NASA

She Put the First Rover on Mars, Breaking the Glass Ceiling for Women at NASA

Donna Shirley pictured at her home in Tulsa, with a model of the Sojourner rover she was in charge of that explored Mars.

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When NASA's Perseverance rover landed successfully on Mars on February 18, 2021, calling it "one giant leap for mankind" – as Neil Armstrong said when he set foot on the moon in 1969 – would have been inaccurate. This year actually marked the fifth time the U.S. space agency has put a remote-controlled robotic exploration vehicle on the Red Planet. And it was a female engineer named Donna Shirley who broke new ground for women in science as the manager of both the Mars Exploration Program and the 30-person team that built Sojourner, the first rover to land on Mars on July 4, 1997.

For Shirley, the Mars Pathfinder mission was the climax of her 32-year career at NASA's Jet Propulsion Laboratory (JPL) in Pasadena, California. The Oklahoma-born scientist, who earned her Master's degree in aerospace engineering from the University of Southern California, saw her profile skyrocket with media appearances from CNN to the New York Times, and her autobiography Managing Martians came out in 1998. Now 79 and living in a Tulsa retirement community, she still embraces her status as a female pioneer.

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Lucas Aykroyd
Lucas Aykroyd is an award-winning journalist and public speaker based in Vancouver. His work has appeared in the New York Times, the Washington Post, National Geographic, Ms. Magazine, and the Globe and Mail. On assignment, he has tracked polar bears in the Canadian Arctic, gone swimming with whale sharks in Mexico, and encountered mountain gorillas in Uganda. Aykroyd has covered five Olympics and frequently contributes to Arizona State University's Global Sport Matters research project. In 2017, he founded the Irene Adler Prize, an annual $1,000 scholarship for women writers.
Massive benefits of AI come with environmental and human costs. Can AI itself be part of the solution?

Generative AI has a large carbon footprint and other drawbacks. But AI can help mitigate its own harms—by plowing through mountains of data on extreme weather and human displacement.

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The recent explosion of generative artificial intelligence tools like ChatGPT and Dall-E enabled anyone with internet access to harness AI’s power for enhanced productivity, creativity, and problem-solving. With their ever-improving capabilities and expanding user base, these tools proved useful across disciplines, from the creative to the scientific.

But beneath the technological wonders of human-like conversation and creative expression lies a dirty secret—an alarming environmental and human cost. AI has an immense carbon footprint. Systems like ChatGPT take months to train in high-powered data centers, which demand huge amounts of electricity, much of which is still generated with fossil fuels, as well as water for cooling. “One of the reasons why Open AI needs investments [to the tune of] $10 billion from Microsoft is because they need to pay for all of that computation,” says Kentaro Toyama, a computer scientist at the University of Michigan. There’s also an ecological toll from mining rare minerals required for hardware and infrastructure. This environmental exploitation pollutes land, triggers natural disasters and causes large-scale human displacement. Finally, for data labeling needed to train and correct AI algorithms, the Big Data industry employs cheap and exploitative labor, often from the Global South.

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Payal Dhar
Payal is a writer based in New Delhi who has been covering science, technology, and society since 1998.
DNA gathered from animal poop helps protect wildlife

Alida de Flamingh and her team are collecting elephant dung. It holds a trove of information about animal health, diet and genetic diversity.

Courtesy Alida de Flamingh

On the savannah near the Botswana-Zimbabwe border, elephants grazed contentedly. Nearby, postdoctoral researcher Alida de Flamingh watched and waited. As the herd moved away, she went into action, collecting samples of elephant dung that she and other wildlife conservationists would study in the months to come. She pulled on gloves, took a swab, and ran it all over the still-warm, round blob of elephant poop.

Sequencing DNA from fecal matter is a safe, non-invasive way to track and ultimately help protect over 42,000 species currently threatened by extinction. Scientists are using this DNA to gain insights into wildlife health, genetic diversity and even the broader environment. Applied to elephants, chimpanzees, toucans and other species, it helps scientists determine the genetic diversity of groups and linkages with other groups. Such analysis can show changes in rates of inbreeding. Populations with greater genetic diversity adapt better to changes and environmental stressors than those with less diversity, thus reducing their risks of extinction, explains de Flamingh, a postdoctoral researcher at the University of Illinois Urbana-Champaign.

Analyzing fecal DNA also reveals information about an animal’s diet and health, and even nearby flora that is eaten. That information gives scientists broader insights into the ecosystem, and the findings are informing conservation initiatives. Examples include restoring or maintaining genetic connections among groups, ensuring access to certain foraging areas or increasing diversity in captive breeding programs.

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Gail Dutton
Gail Dutton has covered the biopharmaceutical industry as a journalist for the past three decades. She focuses on the intersection of business and science, and has written extensively for GEN – Genetic Engineering & Biotechnology News, Life Science Leader, The Scientist and BioSpace. Her articles also have appeared in Popular Science, Forbes, Entrepreneur and other publications.