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By Melanie Lefkowitz 

A platform that uses machine learning, sensors and location data to guide customers to safely distanced cafe seating and an augmented reality platform offering immersive art experiences are among the projects Cornell Tech students have proposed to help New York City emerge from COVID-19.

The projects were developed in Urban Systems: Defending Density, a fall 2020 class that was part of the Jacobs Technion-Cornell Institute at Cornell Tech’s new two-year dual master’s degree program in urban tech. Students developed technologies aimed at helping the city reopen four areas: office space; shops and restaurants; cultural institutions; and schools.

Finding innovative solutions for cities’ most pressing problems is a primary goal of the new Urban Tech Hub at the Jacobs Institute, which launched last year with the support of a $15 million gift from real estate developer and philanthropist Stephen M. Ross and his company, Related Companies.

“Inspired by unprecedented challenges over the past year, cities are experiencing a wave of innovation that will transform the future of urban life for generations to come,” Ross said. “The thought-provoking ideas the students have developed to help get New Yorkers and other city dwellers back to work, back to school, and to support small businesses and cultural institutions underscores the need for the Urban Tech Hub, bringing together academia and industry to solve real problems and strengthen our cities.”

The interdisciplinary program seeks to leverage technology to make cities stronger, fairer and more resilient. The hub takes the definition of urban tech far beyond the concept of “smart cities” – the use of sensors and data to make city life more efficient – to include helping citizens participate more directly in their government and aiding the underserved, said Michael Samuelian, director of the Urban Tech Hub and instructor of Defending Density.

“Urban tech can be one of the major levers that helps us with COVID-19 recovery,” said Samuelian, an urban planner and real estate developer who most recently served as the president and CEO of The Trust for Governor’s Island. “We’re creating a whole new field of practitioners who are going to be marrying the sensibilities of urban planning and the challenges of urban problems with the knowledge of deep tech research.”

In its first year, the hub’s first urbanist-in-residence, Anthony Townsend, an expert in the future of cities and information technology, has been curating a series of talks around the theme of “What’s Next for Urban Tech.” This semester, Rohit Aggarwala, senior adviser at the urban innovation firm Sidewalk Labs, former head of the New York City Mayor’s Office of Long-Term Planning and Sustainability, and Senior Urban Tech Hub fellow, is working with students on plans for how New York City’s next mayoral administration and City Council might deploy digital technologies.

“We’re doing a number of interviews with tech leaders and civic leaders and a deep dive to think about how tech can be a more central component of civic government,” Samuelian said.

Tech can help cities tackle long-term challenges such as environmental threats and inequity, but in the short term it can be an important tool in pandemic recovery.

“The launch of the Urban Tech Hub could not have come at a more critical time,” said Ron Brachman, director of the Jacobs Technion-Cornell Institute. “Cities are facing new and immense challenges due to the pandemic that they have never seen before, and this calls for a unique program that can bring together diverse viewpoints and skills to work towards an equitable recovery.”

To that end, the students’ projects took aim at problems including shuttered schools and suffering restaurants, shops and cultural institutions.

For “Restarting the Workspace,” students developed a plan that uses artificial intelligence and machine learning to track, screen and quarantine people with COVID-19; robotics and automation for contact-free interactions; and new office space designs for physically distanced and flexible collaboration.

The “Education Next” project proposed an interactive platform to digitize the campus experience, using the device as a bulletin board and portal to keep track of responsibilities and connect with fellow students.

“Reopening Cafes” uses sensing and other digital technologies to help customers find physically distanced seating, and to help restaurant owners boost revenue and ensure safety.

The “Reopening Cultural Institutions” team developed an augmented reality art walk, as well as a game where users could recognize physical art objects with their phones using computer vision.

Cities’ needs – combined with most people’s increased comfort with digital tools such as Zoom – have created opportunities for positive change, Samuelian said.

“Where the challenges are greater, that’s what really triggers innovation,” he said.

This story originally appeared in the Cornell Chronicle.


Cornell Tech alumni startup Datalogue was recently acquired by NIKE, Inc., the world’s leading designer, marketer, and distributor of authentic athletic footwear, apparel, equipment, and accessories for a wide variety of sports and fitness activities.

Datalogue is a software company that automates the process of data preparation using artificial intelligence technologies like computer vision and natural language processing. By automating the data preparation, analysts can spend more time doing what they’ve been trained to do: analyze.

The company was co-founded in 2016 by Tim Delisle, Jacobs Technion-Cornell Dual Master of Science Degrees with a Concentration in Health Tech ’17, and Bryan Russett, Johnson Cornell Tech MBA ’16, alongside Johanan Ottensooser and Elizabeth Weber, both Master of Laws (LLM) in Law, Technology, and Entrepreneurship ‘17.

“We’re excited to be joining Nike and adding our passion and expertise to accelerate the digital-first advantage the company has built,” said Delisle in a release by NIKE.

Learn more about Datalogue’s story here.


Cornell Tech alumni startup Auggi was recently acquired by Seed Health, a microbial sciences company pioneering applications of bacteria to improve human and environmental health.

Auggi, which stands for “augmented gastroenterology,” is a personalized digital assistant for gut health that guides patients through a scientific journey towards a symptom-free life. Patients can take photos of their stool and document other key symptoms on their phones, then computer-vision algorithms and deep-learning techniques are deployed to extract clinical insights from this data. This information becomes the enabler of an improved patient-provider experience.

The company was founded in 2019 during Startup Studio by David Hachuel, Jacobs Technion-Cornell Dual Master of Science Degrees with a Concentration in Health Tech ’19, alongside business partners Alfonso Martinez and Cherry Gao. Auggi was one of four winners of Cornell Tech’s 2019 Startup Awards.

“We are excited that Seed Health will carry our vision forward, stewarding new applications of our technology to empower people with greater insights about their digestive health,” said Hachuel in a release by Seed Health. “We look forward to seeing our technologies enrich clinical research and improve human quality of life, which is so significantly impacted by gastrointestinal health.”

Learn more about Auggi’s story here.


By Melanie Lefkowitz 

Amid the clamor of political polarization and mistrust, new Cornell Tech research has found cause for optimism: When it comes to evaluating news, people tend to trust the opinions of a large group whether it’s composed of liberals or conservatives.

The study of 1,000 participants found that Democrats were reliably influenced by Republican-majority crowds and vice versa, though the researchers also found that people are inclined to disregard news that contradict their own political views.

“In a practical way, we’re showing that people’s minds can be changed through social influence independent of politics,” said Maurice Jakesch, doctoral student in the field of information science at Cornell Tech and first author of “How Partisan Crowds Affect News Evaluation,” which was presented at the Conference for Truth and Trust Online, held online in October. “This opens doors to use social influence in a way that may de-polarize online spaces and bring people together.”

Political polarization has skyrocketed in recent years, exacerbated by the internet and social media, where people tend to be exposed to information conforming to their existing beliefs. With this study, the researchers sought to explore whether exposure to differing opinions could impact their preexisting views.

“When algorithms optimize for viewer engagement, they will often show content that people either like or are angered by,” Jakesch said. “That’s the reason we’re seeing a lot of extreme ratings online. But people’s evaluations would be less extreme if a broader, more representative audience had responded to the content evaluated.”

The researchers asked participants to rate 16 news claims, presented as headlines, as either true or false. Four of the headlines were consistent with Democrats’ views, four were Republican-consistent, and eight were collected from a list of headlines that were true but considered difficult to evaluate.

Participants were assigned to three groups: one in which participants could see how a group comprising mostly Democrats had rated the claims; one where the group of prior raters was mostly Republican; and a control group where participants did not see how others had rated the news.

For example, one headline read, “Trump’s First Mar-a-Lago Trip Cost Taxpayers $13.6 million.” Participants in one group were told, “75 Democrats and 21 Republicans answered so far,” and “24 say the claim is false and 72 say it is true,” and then asked to rate it as true or false.

Participants across political lines were 21% less likely to evaluate claims as true if they didn’t align with their views, the study found. But when it came to social influence, compared with the control group, both liberals and conservatives were highly influenced by a crowd’s opinion, regardless of its political makeup.

In almost all cases, the politics of the crowd didn’t have a significant effect on evaluations, except when a majority-Democrat crowd affirmed a Republican-consistent claim.

The findings offer opportunities for social media platforms to make design changes that decrease political polarization – or at least don’t exacerbate it.

“While platforms cannot show the same content to everyone, they could use the data they already collect about people  to estimate what feedback they would get from a more representative audience,” Jakesch said. “Statistically correcting sample selection bias doesn’t cost a lot, and based on our results, could move more people towards the political center. Even if I think a video is great and right, if I see that not everyone thinks so, that may influence my opinion.”

The paper was co-authored with Moran Koren of Stanford University and Cornell doctoral student Anna Evtushenko. The paper’s senior author is Mor Naaman, professor of information science at the Jacobs Technion-Cornell Institute at Cornell Tech.

This story originally appeared in the Cornell Chronicle.







Param Kulkarni headshot

AwareHealth, a Runway Startup at the Jacobs Technion-Cornell Institute, is a fully anonymous mental well-being platform that connects like-minded professionals to work on their mental health together. It is designed to support professionals in fields like healthcare and law, through group-based activities such as exercises, peer support, group coaching, and workshops. Through the in-app support groups and personalized content powered by AwareHealth’s patent-pending natural language processing algorithms, AwareHealth provides a therapeutic sense of community to those utilizing the platform and allows users to find ways to be more productive toward bettering their mental health.

Learn more about AwareHealth in this Q&A with co-founder Prathamesh Kulkarni.

What does your company do?

AwareHealth provides an AI-powered mental health platform for groups of like-minded professionals to improve their mental well-being and work performance. The tools available on our platform are designed to support individuals experiencing sub-clinical to moderate symptoms which do not warrant one-on-one therapy. We use the power of natural language processing to enable group formation within clinically-adjacent users as well as personalizing the content for each user. Our platform is tailored to professional groups such as healthcare, legal, and other professionals and is also designed to plug into and benefit other networks of affinity-based groups.  

How has the Jacobs Institute’s Runway program helped you to develop your company?

The program provided a structure to understand the key challenges in building a mental health tech startup and the scope to be able to build it through the investment. Also, the program connected me with experts in the field, some of whom have become advisors for AwareHealth. Finally, connections to other Runway postdocs have been very valuable to create a much-needed peer-sharing environment so we can also learn from each other as founders. 

What impact do you hope your company will have in the industry/world?

AwareHealth is solving a large systemic problem in the mental health ecosystem of today. In the U.S. alone, some studies have estimated a deficit of about 250K licensed mental health professionals by 2025. Mental health was already on crisis-level pre-COVID-19, and the pandemic has only accelerated its severity by scaling the demand for mental health services exponentially faster than any possible increase in supply. The currently prevalent treatment model, namely one-to-one therapy, is simply not designed to meet this ever-increasing demand, and moreover, it is most applicable to support people with severe symptoms. Thus there is a need to provide clinically-valid treatment for the majority of people who have subclinical to moderate symptoms for whom therapy would be an over-prescription. AwareHealth uses a research-backed one-to-many scalable treatment model, which has already helped hundreds of our users and will continue to proactively support millions of people in the U.S. and beyond in time before their symptoms become more severe (if left untreated).

Where did you earn your Ph.D. and what was your research focus?

I completed my Ph.D. in Electrical and Computer engineering from the University of Houston with a focus on healthcare technology. Particularly, my Ph.D. work focused on using statistical and machine learning methods to analyze large-scale healthcare data of various types. After completing my Ph.D. and working at a healthcare informatics startup, I also completed 2 postdoctoral fellowships from NYU School of Medicine and Northwell Health respectively at their Department of Psychiatry. In these fellowships, my primary focus was on developing AI-based diagnostic tools for melanoma, chronic pain, and schizophrenia. 

Why did you want to commercialize that research? What was the inspiration behind your company?

I did not commercialize my Ph.D. research but my postdoctoral work is patent-protected and being independently commercialized outside of AwareHealth. My training in Ph.D. and postdoctoral fellowships acted as the inspiration for AwareHealth. Particularly, it helped me understand some of the largest problems that exist in today’s mental health ecosystem and the complexities involved in solving those problems. 

Why did you apply to the Runway program?

I came across this program as I was looking for competitive and distinguished programs that can support Ph.D. founders who want to solve some of the toughest problems in the world. I learned about the program’s particular interest and experience in supporting healthcare tech founders which gave me the assurance of the scope of the program in supporting founders in the healthcare/mental health space. Also, I was inspired by the work of previous Runway fellows and was eager to have the structure and support to work full-time on developing AwareHealth. 

What has been the biggest challenge switching your mindset from a researcher/academic to an entrepreneur?

The biggest challenge for me has been to clearly understand the problem we are aiming to solve for the users and other stakeholders as an entrepreneur. As researchers, we generally solve high-risk problems that may or may not translate to having a real-world impact and which can be funded through grants, but as entrepreneurs, we can only afford to solve the problems that people know they have and are willing to pay someone for the right solution.