Announcing Our First Short Story Contest (With Prizes!)

Announcing Our First Short Story Contest (With Prizes!)

A laptop and notepad waiting for a writer.

(© MohdHafiez/Fotolia)



Leapsmag is all about high-quality journalism and expert commentary. So you may be wondering, why are we hosting a fiction contest?

The answer is that some of the most visionary ideas for the future of humanity and technology first emerged in fiction, from Jules Verne's prescient novels about space, air, and underwater travels in the 19th century, to Arthur C. Clarke's prediction of satellite communications in 1945, to Isaac Asimov's exploration of robot ethics in the 1950s, to William Gibson's depiction of "cyberspace" in 1982.

But speculative fiction writers don't only anticipate big breakthroughs; they also care about probing the societal, personal, and moral impacts of new technology.

Will the next astute observation come in the form of a short story for leapsmag? Let's find out!

ABOUT THE CONTEST:

The Prompt:

Explore a big moral question or a new opportunity raised by an emerging technology today, in the form of an original, previously unpublished piece of fiction of up to 3000 words.

The Rules:

Submissions must be received by midnight EST on September 15th, 2018. Send your story as a double-spaced attachment in size 12 Times New Roman font to kira@leapsmag.com. Include your name and a short bio. It is free to enter, and authors retain all ownership of their work. Upon submitting an entry, the author agrees to grant leapsmag one-time nonexclusive publication rights.

All submissions will be judged by the Editor-in-Chief on the basis of insightfulness, originality, quality of storytelling, and relevance to the prompt. The Contest is open to anyone around the world of any age, except for the friends and family of leapsmag staff and associates.

The winners will be announced by October 15th, 2018.

The Prizes:

Grand Prize: $500, publication of your story on leapsmag, and promotion on our social media channels.

First Runner-Up: $100 and a shout-out on our social media channels.

Good luck!

Kira Peikoff

Kira Peikoff was the editor-in-chief of Leaps.org from 2017 to 2021. As a journalist, her work has appeared in The New York Times, Newsweek, Nautilus, Popular Mechanics, The New York Academy of Sciences, and other outlets. She is also the author of four suspense novels that explore controversial issues arising from scientific innovation: Living Proof, No Time to Die, Die Again Tomorrow, and Mother Knows Best. Peikoff holds a B.A. in Journalism from New York University and an M.S. in Bioethics from Columbia University. She lives in New Jersey with her husband and two young sons. Follow her on Twitter @KiraPeikoff.

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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.

Adobe Stock

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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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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