A color photo of a man with an abstract background

Cheng Zhang, assistant professor of information science in the Cornell Ann S. Bowers College of Computing and Information Science, has received the 10-year Impact Award from  the ACM international joint conference on Pervasive and Ubiquitous Computing (Ubicomp) held earlier this month.

Zhang was a coauthor of the 2013 paper, “Instant inkjet circuits: lab-based inkjet printing to support rapid prototyping of UbiComp devices,” which introduced a low-cost, fast and accessible technology to support the rapid prototyping of functional electronic devices. Zhang and his research collaborators were recognized for the paper’s long-term impact in the field of ubiquitous computing.

Date Posted: 10/31/2023
The logos for Cornell Bowers CIS and CSCS 2023

Research from several Cornell faculty and students received recognition at the 26th Association of Computing Machinery Conference on Computer-Supported Cooperative Work And Social Computing (CSCW), held Oct. 14-18 in Minneapolis.

CSCW is the premier meeting for research on collaborative or social computing. The conference features the latest work on the design and use of technologies that impact groups, organizations, communities, and networks. It seeks to bring together researchers from across academia and industry to advance virtual collaboration and discuss the social implications of collaborative computing.

The following papers by Cornell researchers received awards at the 2023 conference:

  • "Reopening, Repetition, and Resetting: HCI and the Method of Hope," by Matt Ratto, a professor of information at the University of Toronto, and Steven Jackson, professor of information science at Cornell University in the Cornell Ann S. Bowers College of Computing and Information Science, received both an Honorable Mention and Recognition for Contribution to Diversity and Inclusion. In this work, Ratto and Jackson discuss the complex role of hope in CSCW projects aimed at transformative community-level interventions. They discuss this in the context of the 3Dprintability project – a long-running collaboration involving the printing of 3D prosthetics in sub-Saharan Africa and Southeast Asia.

  • "Computer-Mediated Sharing Circles for Intersectional Peer Support with Home Care Workers" received Recognition for Contribution to Diversity and Inclusion. Paper authors are: Anthony Poon Ph.D. '22; Matthew Luebke '22; Julia Loughman, an undergraduate at Tufts University; Ann Lee, a project coordinator at 1199SEIU Training and Employment Funds; Lourdes Guerrero, associate professor of medicine at UCLA; Madeline Sterling, assistant professor of medicine at Weill Cornell Medicine, and Nicola Dell, associate professor at the Jacobs Technion-Cornell Institute at Cornell Tech and in Cornell Bowers CIS. Their research shows that online support groups for home care workers provide participants with different types of peer support, such as emotional validation and assistance in navigating the workplace, and may help other marginalized populations.

  • "Towards Intersectional Moderation: An Alternative Model of Moderation Built on Care and Power," by Sarah Gilbert, research director of the Citizens and Technology Lab in the Department of Communication in the College of Agriculture and Life Sciences, received a Best Paper award for her work. Gilbert explores alternative models for content moderation through a collaborative ethnography of the r/AskHistorians Reddit community. Drawing from Black feminist theory, she describes how these moderators face challenges accounting for power, which she describes as "intersectional moderation" – a framework that would support fair moderation practices.  

By Patricia Waldron, a writer for the Cornell Ann S. Bowers College of Computing and Information Science.

Date Posted: 10/30/2023
François Guimbretière, professor of information science in Cornell Bowers CIS, stands by the VRoxy r

Researchers from Cornell and Brown University have developed a souped-up telepresence robot that responds automatically and in real-time to a remote user’s movements and gestures made in virtual reality.

The robotic system, called VRoxy, allows a remote user in a small space, like an office, to collaborate via VR with teammates in a much larger space. VRoxy represents the latest in remote, robotic embodiment from researchers in the Cornell Ann S. Bowers College of Computing and Information Science.

Mose Sakashita, a doctoral student in the field of information science, with the VRoxy system.

“The great benefit of virtual reality is we can leverage all kinds of locomotion techniques that people use in virtual reality games, like instantly moving from one position to another,” said Mose Sakashita, a doctoral student in the field of information science. “This functionality enables remote users to physically occupy a very limited amount of space but collaborate with teammates in a much larger remote environment.”

Sakashita is the lead author of “VRoxy: Wide-Area Collaboration From an Office Using a VR-Driven Robotic Proxy,” presented at the ACM Symposium on User Interface Software and Technology (UIST), held Oct. 29 through Nov. 1 in San Francisco.

VRoxy’s automatic, real-time responsiveness is key for both remote and local teammates, researchers said. With a robot proxy like VRoxy, a remote teammate confined to a small office can interact in a group activity held in a much larger space, like in a design collaboration scenario. For teammates, the VRoxy robot automatically mimics the user’s body position and other vital nonverbal cues that are otherwise lost with telepresence robots and on Zoom. For instance, VRoxy’s monitor – which displays a rendering of the user’s face – will tilt accordingly depending on the user’s focus.

VRoxy builds off a similar Cornell robot called ReMotion, which worked only if both the local and remote users had the same hardware and identically sized workspaces. That’s changed with VRoxy. The system maps small movements from the remote users in VR to larger movements in the physical space, researchers said.

VRoxy is equipped with a 360-degree camera, a monitor that displays facial expressions captured by the user’s VR headset, a robotic pointer finger and omnidirectional wheels.

Donning a VR headset, a VRoxy user has access to two view modes: Live mode shows an immersive image of the collaborative space in real time for interactions with local collaborators, while navigational mode displays rendered pathways of the room, allowing remote users to “teleport” to where they’d like to go. This navigation mode allows for quicker, smoother mobility for the remote user and limits motion sickness, researchers said.

The system’s automatic nature lets remote teammates focus solely on collaboration rather than on manually steering the robot, researchers said.

In future work, Sakashita wants to supercharge VRoxy with robotic arms that would allow remote users to interact with physical objects in the live space via the robot proxy. Elsewhere, he envisions VRoxy doing its own mapping of a space, much like a Roomba vacuum cleaner. Currently, the system relies on ceiling markers to aid the robot in navigating a room. The extension to support real-time mapping could allow deployment of VRoxy in a classroom, he said.

Paper co-authors are: Hyunju Kim and Ruidong Zhang, both doctoral students in the field of information science; Brandon Woodard of Brown University, and François Guimbretière, professor of information science in Cornell Bowers CIS.

This research was supported by the National Science Foundation and the Nakajima Foundation.

By Louis DiPietro, a writer for the Cornell Ann S. Bowers College of Computing and Information Science.

This story was originally published in the Cornell Chronicle.

Date Posted: 10/26/2023
A color photo of a woman smiling for a photo

Mehrnaz Sabet is a doctoral candidate in information science with a minor in computer science from Shiraz, Iran. She earned her B.Sc. in computer engineering at the University of Tehran and now studies human-autonomy learning under the guidance of Susan Fussell at Cornell.

What is your area of research and why is it important?

I work on autonomous systems, and I study human-autonomy teaming, which is basically looking at how to advance a robot’s ability to perform tasks without external control when they are to conduct those tasks by working alongside humans. More specifically, my research is focused on aerial autonomy, so I design and develop drone systems to understand how we can reliably increase drone autonomy when drones are deployed to work with humans in time-critical applications such as search and rescue operations.

What are the larger implications of this research?

Increasing advancements in robot autonomy call for a shift in the human role from being constantly in control to control by exception. As we push for increased autonomy, specifically in drones, it becomes more and more important to understand how we design and advance autonomy in a way that is not only reliable but is also reflective of the real-world operation scenarios where these drones would need to work alongside other actors in various missions and environments. Without such autonomy, there are increasing risks for failures and increased workload for humans to manually operate the drones instead of focusing on more critical tasks. 

You are currently working to build an industry-academia partnership with the goal of inspiring applied research projects in academia informed by industry challenges with autonomous systems. Can you tell us about the project?

This project is called Shaping Autonomy with the mission to bridge the gap between industry and academia by bringing the research and engineering community together to advance the field of autonomous systems. In my own work, I’ve had the opportunity to talk with many industry experts to learn about the challenges and use those learnings to inform my research path. While doing that, I realized that many other students are working on problems that are not necessarily informed by real-world applications or are struggling to make their contributions meaningful to the industry. Meanwhile, the industry seeks to leverage research through applied projects to address the technical challenges. I believe this gap calls for a new collaborative model to be adapted in this area, and this is what motivates Shaping Autonomy.

What do you hope to accomplish through this industry-academia partnership and with this project?

I’m looking forward to bringing awareness to the challenges that exist in the industry so that we can use those challenges to inspire research projects with real-world applications. I’ve talked with many graduate students in this field who wish they could find the applications of their research and understand a project’s impact on the industry. The outcome that motivates me the most is to enable multi-institutional collaborations for projects and papers so that we can work on proposing solutions for critical problems that go beyond a single lab, or team, which I believe can truly make a difference in advancing the field of autonomous systems and shaping its future.

President Pollack has designated this academic year’s theme as freedom of expression. What does freedom of expression mean to you?

A big part of freedom of expression for me is to pursue new ideas, especially in an academic environment. I think I felt this freedom by heart when starting this project because as soon as this was started, people from both industry and academia reached out to me to talk about how there has always been a need for someone to take the initiative and how much this is needed for the field and I’m happy I did it. It feels like I took a step forward toward this year’s theme to feel free and fearless to embrace new ideas.

What are your hobbies or interests outside of your research or scholarship?

I love art, and it gives me peace; I do graphic design and photography whenever possible. I also love to read, and I often grab a book and spend my time reading when I’m not working. 

Why did you choose Cornell to pursue your degree?

The biggest thing for me is the collaborative environment that we have at Cornell. My field is quite multi-disciplinary, and without collaboration across the fields relating to my research, I wouldn’t have been able to look at a problem from different perspectives. I think we have a unique environment where I personally have been able to work with people from different departments and learn about different things, which has helped me advance in my path. This spirit of collaboration has also helped me to inspire projects like Shaping Autonomy, which is built on bringing different people together to work on a problem.

Date Posted: 10/26/2023
A color photo of three women sitting and smiling at the new majors welcome for Cornell Bowers CIS.

The Cornell Ann S. Bowers College of Computing and Information Science celebrated the newest cohort of students to declare a major within the college, providing dinner, swag, and introductions to the various clubs, services, and resources now available to them.

More than 160 new majors attended the event, held Oct. 4 in the Statler Hotel Ballroom. About two dozen faculty members, along with student leaders and various support staff from the college's three departments – computer science, information science, and statistics and data science – joined in the celebration.

“The event was a great introduction and welcome to Bowers CIS," said Chris Walkowiak '26, a brand new information science major. "The event really highlighted the college’s commitment to its students and provided great opportunities to meet fellow students and talk with faculty in a more informal setting."

In her opening remarks, Kavita Bala, dean of the college, welcomed the students to their new "intellectual home" within the college.

Undergraduates gain admission to Cornell through one of three admitting colleges: Cornell Engineering, the College of Agriculture and Life Sciences, or the College of Arts and Sciences. But if their academic path leads them to biometry and statistics, information science, computer science, statistical science, or information science, systems, and technology, they become affiliated with Cornell Bowers CIS.

"I tell my students that this is the best time to be in these disciplines," she said. "When you get your degree and go out there, you will be able to have an incredible and lasting real world impact."

A color photo of three people talking at the new majors welcome for Cornell Bowers CIS.

Students also heard from leaders from many of the campus organizations affiliated with the college, including Women in Computing at CornellAssociation of Computer Science UndergraduatesUnderrepresented Minorities in Computing, and the Information Science Student Association. Additionally, representatives from the college’s Office of Student Services and Office of Diversity, Equity, and Inclusion introduced themselves.

The new majors join a growing body of students interested in the technologies driving the information age. In 2022, more than 2,000 undergraduates obtained a degree offered by the college, representing a sixfold growth in enrollment over the previous ten years.

"I chose Cornell because of Bowers, actually – the information science program here is unique and unlike anything most schools offer," Walkowiak said. "I’d always been interested in technology but more so the intersections between technology and other aspects of society, and IS speaks to that in a way not fully addressed by more theoretical majors."

Date Posted: 10/11/2023
A graphic illustration showing hands using a video game controller

Is The Witcher immersive? Is The Sims a role-playing game?

Gamers from around the world may have differing opinions, but this diversity of thought makes for better algorithms that help audiences everywhere pick the right games, according to new research from Cornell, Xbox and Microsoft Research.

With the help of more than 5,000 gamers, researchers show that predictive models, fed on massive datasets labeled by gamers from different countries, offer better personalized gaming recommendations than those labeled by gamers from a single country.

The team’s findings and corresponding guidelines have broad application beyond gaming for researchers and practitioners who seek more globally applicable data labeling and, in turn, more accurate predictive artificial intelligence (AI) models.

“We show that, in fact, you can do just as well, if not better, by diversifying the underlying data that goes into predictive models,” said Allison Koenecke, assistant professor of information science in the Cornell Ann S. Bowers College of Computing and Information Science.

Koenecke is the senior author of “Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems,” which was presented at the Association for Computing Machinery Fairness, Accountability, and Transparency (ACM FAccT) conference, in June.

Massive datasets inform the predictive models behind recommendation systems. The model’s accuracy depends on its underlying data, especially the proper labeling of each individual piece within that massive trove. Researchers and practitioners are increasingly turning to crowdsourced workers to do this labeling for them, but crowdsourced workforces tend to be homogenous.

During this data-labeling phase, cultural bias can creep in and, ultimately, skew a predictive model intended to serve global audiences, Koenecke said.

“For the datasets used in algorithmic processes, someone still has to come up with either some rules or just some general idea of what it means for a data point to be labeled in some way,” Koenecke said. “That’s where this human aspect comes in, because humans do have to be the decision makers at some point in this process.”

The team surveyed 5,174 Xbox gamers from around the world to help label gaming titles. They were asked to apply labels like “cozy,” “fantasy,” or “pacifist” to games they had played, and to consider different factors, such as whether a title is low or high complexity, or the difficulty of the game controls.

Some game labels – like “zen,” which is used to describe peaceful, calming games – were applied consistently across countries; others, like whether a game is “replayable,” were applied inconsistently. To explain these inconsistencies, the team used computational methods to find that both cultural differences among gamers and translational and linguistic quirks of certain labels contributed to labeling differences across countries.

The researchers then built two models that could predict how gamers from each country would label a certain game – one was fed survey data from globally representative gamers, and the second used survey data from only U.S. gamers. They found that the model trained on labels from diverse global populations improved predictions by 8% for gamers everywhere when compared to the other model trained on labels from just American gamers.

“We see improvement for everyone – even for gamers from the U.S. – when the training data is shifted from being entirely U.S.-centric to being more globally representative,” Koenecke said.

In addition to their findings, researchers crafted a framework to guide fellow researchers and practitioners on ways to audit underlying data labels to check for global inclusivity.

“Companies tend to use homogeneous data labelers to do their data labeling, and if you’re trying to build a global product, you’ll run into issues,” Koenecke said. “With our framework, any academic researcher or practitioner could audit their own underlying data to see if they might be running into issues of representation via their data labels or choices.”

Rock Yuren Pang of the University of Washington is the paper’s lead author; co-authors include Jack Cenatempo of Microsoft Research; and Franklyn Graham, Bridgette Kuehn, Maddy Whisenant, Portia Botchway and Katie Stone Perez, all of Microsoft Corporation, Xbox Division.

This research was partly supported by Microsoft Research and Xbox.

By Louis DiPietro , a writer for the Cornell Ann S. Bowers College of Computing and Information Science.

This story was originally published in the Cornell Chronicle.

Date Posted: 9/29/2023
A color graphic showing the book cover for 'Data Driven' by Karen Levy

Data Driven: Truckers, Technology, and the New Workplace Surveillance” – penned by Cornell’s Karen Levy – recently received a third award since its publication late last year. 

In August, “Data Driven” received the Best Book Award from the American Sociological Association in the Section on Communications, Information Technology, and Media Sociology. The book had previously received the Best Information Science Book Award, given by the Association for Information Science and Technology, and the 2022 McGannon Book Award, given by Fordham University’s McGannon Center for best book addressing media policy, activism, and social justice.

Levy – an associate professor of information science in the Cornell Ann S. Bowers College of Computing and Information Science and an associate member of the Law School faculty – explores the legal, organizational, social, and ethical aspects of data-intensive technologies.

In “Data Driven,” Levy examines how digital surveillance is changing the trucking industry and raises crucial questions about the role of data collection in broader systems of social control.

Published by Princeton University Press in December 2022, “Data Driven” has been praised by the likes of the Wall Street Journal, the New Yorker, and scholars like danah boyd, who called the book a “must-read for both those who think AI is our salvation and those who see automation as the devil.”

Date Posted: 9/25/2023
A color graphic showing the CISCO Research's Outshift logo and the logo for Cornell Bowers CIS

Cisco Research has funded multiple research awards to the Cornell Ann S. Bowers College of Computing and Information science to support projects related to cybersecurity, sustainability, edge computing, and artificial intelligence (AI). 

Five faculty projects and one graduate student will receive funding through this partnership. The resulting research will further the college's leadership in AI and point the way toward innovative solutions to challenges surrounding the use and development of AI models. 

Cisco Research is within Outshift, which serves as Cisco's incubation engine. Outshift is dedicated to pioneering new businesses and new markets in cutting-edge technology domains, including cloud native application security, edge native, quantum, and AI.

"Cisco Research has been pushing the frontiers of technology through innovative, cutting-edge research in areas of emerging technologies such as AI/ML, edge computing, and quantum. We are super excited to partner with several leading researchers in their fields at Cornell who are doing amazing research in these areas,” said Ramana Kompella, head of Cisco Research. "In addition, Cisco Research encourages and promotes a culture of open innovation, and researchers are free to make all the research – publications and software – funded through these awards completely open to benefit everyone, not just Cisco.”

The following Cornell Bowers CIS faculty will receive Cisco Research grants:

Allison Koenecke, assistant professor of information science, is investigating Demographic Biases in Generative AI Hallucinations.  People from different backgrounds and countries have differences in how they speak and write. Those differences are likely to affect the output from generative AI programs that create text or images in response to written prompts. In her project, Koenecke will investigate how a person's demographics affect the accuracy of – or amount of "hallucination" in – text generated by three large language models (LLMs), including ChatGPT. She will also determine whether these models can be fine-tuned to reach more consistent levels of hallucination across demographics.

Ken Birman, professor of computer science, is developing faster data transfer methods so that machine learning (ML) technologies can be applied using edge computing. In his open-source project, Edge Framework for Ultra-Low Latency Computing, Birman will build on a system he previously developed called Derecho, which creates building blocks for fault-tolerant distributed computing. His new project, Cascade, uses Derecho to store ML software, such as for image processing or text generation, and allows the software to run very efficiently on standard high-speed networks. 

Kevin Ellis, assistant professor of computer science, proposes to engineer algorithms for guiding neural networks that generate code. In this project, Nonstandard Generation Strategies for Better LLM Reasoning with Code, Ellis aims to emulate how humans write code – through iteration, trial and error, and divide-and-conquer strategies that break a task into smaller subtasks – instead of having a neural language model write the code all at once. He expects this approach will yield more lightweight models that generate better code.

Rachee Singh, assistant professor of computer science, aims to leverage programmable optical interconnects for making distributed training of machine learning models more efficient. In her work, she develops systems and algorithms for programming photonic interconnects at server and rack-scales such that distributed computation does not get bottlenecked by communication between GPUs.

Volodymyr Kuleshov, assistant professor at the Jacobs Technion-Cornell Institute at Cornell Tech, and Christopher De Sa, assistant professor of computer science, have a vision to enable some of the largest LLMs to operate on consumer computers. They will take a step toward that goal with their project, Scaling Large Language Models to Consumer GPUs via 2-Bit Quantization. They propose to develop a new method called quantization with incoherence processing (QuIP), which will allow LLMs to function using only two bits of memory per parameter. This work will improve the cost and accessibility of generative AI models and bring miniaturized LLMs closer to running on edge devices.

The Cisco partnership will also support Trishita Tiwari, a doctoral student in the field of computer science, working with Edward Suh. Her doctoral research focuses on preventing LLMs from leaking sensitive information contained within their training data. She proposes to probe the weaknesses of LLMs by investigating possible attacks, and to develop solutions for existing security issues by modifying LLM architectures, training and inference.

Date Posted: 9/25/2023
A color photo showing a woman speaking during a panel discussion.

Academic freedom is closely tied to the First Amendment guarantee of freedom of expression, according to law professor Michael Dorf – and like freedom of speech, it’s not absolute.

“Academic freedom does not mean the liberty to say anything you want in a college or university setting,” said Dorf, the Robert S. Stevens Professor of Law, whose focus is on constitutional law. “It means the freedom to pursue knowledge and truth in good faith, according to the disciplinary standards and the decorum standards and the respect one shows for fellow students and others within the community.”

Dorf and three Cornell Law School colleagues participated in a forum, “The Fundamentals of Freedom of Expression,” held Sept. 7 in Myron Taylor Hall’s Landis Auditorium. The event served as the kickoff for the 2023-24 theme year: “The Indispensable Condition: Freedom of Expression at Cornell.”

The Freedom of Expression logo for Cornell University

The forum focused on foundations of the First Amendment’s protections for speech and assembly; challenges in applying those protections in a democratic and pluralistic society; and how free-speech principles play out in an increasingly digital world.

After a welcome from Jens David Ohlin, the Allan R. Tessler Dean and Professor of Law, President Martha E. Pollack introduced the panel and reminded the audience of the theme year title’s origins: the writings of Benjamin Cardozo, a Supreme Court justice from 1932-38, who called freedom of speech “the matrix, the indispensable condition of nearly every other form of freedom.”

Free speech is a given in this country, she said – “a bedrock assumption on which we’ve all built our lives. The ability to say what we think, ask questions, and listen to others is essential to democratic government, to our right to self-determination, and of course, to our academic enterprise. But over 232 years of American history [since the Bill of Rights was ratified], we’ve concluded that the right to free speech is not absolute.”

The panel was moderated by Gautam Hans, associate clinical professor of law, an expert on First Amendment law and technology policy, and in addition to Professor Dorf included Karen Levy, associate professor of information science in the Cornell Ann S. Bowers College of Computing and Information Science, and associate member of the Law School faculty; and Nelson Tebbe, the Jane M.G. Foster Professor of Law.

Hans asked Tebbe, who researches general constitutional law and freedom of speech and religion, about the courts’ penchant for restricting government actions that impinge upon free-speech rights. Tebbe said the high court’s history with this protection isn’t extremely long – or particularly glorious: From protests against World Wars I and II and the rise of McCarthyism in the 1950s, the failures of the Supreme Court helped shape the evolution of free expression.

“Even though the Supreme Court was not as effective as we would have liked in policing free speech during that time,” he said, “the lessons of those failures, I think, have stuck with the court and with the society in really tenacious and important ways.”

In court cases where internet search engines and platforms like Baidu and YouTube were alleged to have violated free-expression principles of private entities through content moderation, Levy – who studies the intersection of law and technology – said the courts have sided with the websites.

“(These) are cases in which a party is aggrieved because … they don’t feel that a (platform) is listing their results highly enough, or at all, and they bring these First Amendment claims,” Levy said. “Oftentimes the rhetoric that’s leaned upon is that, in some ways, these tech platforms operate as public squares, and I think there is some validity to that argument.

“But that has not translated to the analogous principle that, because a lot of speech happens on these platforms, those platforms constitute state actors,” Levy said. “So, if anything, what courts have found is that those platforms themselves have free-speech rights, and oftentimes they have no choice but to decide what content to prioritize.”

Levy said the regulation of AI, and other new technology, has run into what’s been called the “pacing problem.” “Technology moves unbelievably quickly,” she said, “and this presents a problem when we’re trying to regulate this inherent moving target.”

The panelists also discussed the idea of society as a marketplace of ideas (the “notion that ideas will compete” with one another in a metaphorical “marketplace in the same way that goods and services” compete in the actual marketplace, Dorf said); and how America’s idea of free speech differs from other free societies.

“Many democracies … allow for some regulation of hate speech – some recognition that not just governments but private actors can contribute to the unjust stratification of society,” Tebbe said. “Everyone agrees that freedom of speech is of vital importance. And I think everyone also agrees that people shouldn’t be subordinated on the basis of inherent characteristics in their citizenship status, but instead should stand before one another in the public as equals. … There’s plenty of room for complex negotiation of these competing values, at the court level but also at institutional levels.”

A recording of the 90-minute forum, which included a half-hour Q&A, is available here.

Upcoming theme year-related events include the inaugural Milstein Symposium, with professors Jameel Jaffer of Columbia University and Eugene Volokh of the University of California, Los Angeles, on Sept. 26 in Landis Auditorium.

By Tom Fleischman, Cornell Chronicle

This story was originally published in the Cornell Chronicle.

Date Posted: 9/18/2023
A color photo showing how hoverboard frames vary in style, rigidity and strength across models

To Ilan Mandel, a Cornell robotics researcher and builder, the math didn’t add up. How could a new, off-the-shelf hoverboard cost less than the parts that compose it?

“This becomes an ambient frustration as a designer – the incredible cheapness of products that exist in the world, and the incredible expenses for prototyping or building anything from scratch,” said Mandel, a doctoral student in the field of information science, based at Cornell Tech.

While sourcing wheels and motors from old hoverboards to build what would become a fleet of trash robots in New York City, Mandel inadvertently uncovered the subject of his newest research: “Recapturing Product as Material Supply: Hoverboards as Garbatrage,” which received an honorable mention at the Association for Computing Machinery conference on Designing Interactive Systems in July. Wendy Ju, associate professor at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion, and a member of the Department of Information Science in the Cornell Ann S. Bowers College of Computing and Information Science, co-authored the paper.

“For the large part, we design and manufacture as if we have an infinite supply of perfectly uniform materials and components,” Ju said. “That’s a terrible assumption.”

Building on work in human-computer interaction that aims to incorporate sustainability and reuse into the field, the Cornell pair introduces “garbatrage,” a framework for prototype builders centered around repurposing underused devices. Mandel and Ju use their repurposing of hoverboards – the hands-free, motorized scooters that rolled in and out of popularity around 2016 – as a test case to highlight the economic factors that create opportunities for garbatrage. They also encourage designers to prioritize material reuse, create more circular economies and sustainable supply chains, and, in turn, minimize electronic waste, or e-waste.

A color photo showing hands disassembling a hoverboard.

The time is ripe for a practice like garbatrage, both for sustainability reasons and considering the global supply shortages and international trade issues of the last few years, the researchers said.

“I think that there’s a real need to appreciate the heterogeneity of hardware that we are surrounded by all the time and look at it as a resource,” Mandel said. “What is often deemed as garbage can be full of value and can be made useful if you are willing to do some bridge work.”

From old desktop computers, smartphones and printers to smart speakers, Internet of Things appliances, and e-vaping devices, most of today’s e-waste has workable components that can be repurposed and used in the prototypes that become tomorrow’s innovations, researchers said.

Instead, these devices – along with their batteries, microcontrollers, accelerometers, motors and LCD displays – become part of the estimated 53 million metric tons of e-waste produced globally each year. Nearly 20% of it is properly recycled, but it’s unclear where the other 80% goes, according to a report from the UN’s Global E-waste Monitor 2020. Some ends up in developing countries, where people burn electronics in open-air pits to salvage any valuable metals, poisoning lands and putting public health at risk.

“Designers are a kind of node of interaction between massive scales of industrialization and end users,” Mandel said. “I think that designers can take that role seriously and use it to leverage e-waste in a way that promotes sustainability, beyond just asking the consumer to reflect more on their own practices.”

By Louis DiPietro, a writer for the Cornell Ann S. Bowers College of Computing and Information Science.

Date Posted: 9/18/2023

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