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The $26M initiative will work with top AI programs offered at Cornell Tech, MIT Schwarzman College of Computing and UCLA Samueli School of  Engineering to increase access to undergraduate AI education for students in surrounding areas

New York, NY (April 13, 2022)Break Through Tech, an initiative to increase the number of women and underrepresented minorities graduating with degrees in computing, today announced a $26 million investment to launch a new, critical artificial intelligence and machine learning program. Break Through Tech AI is a free 18-month program that will be offered to college undergraduate students across New York, Boston, and Los Angeles metropolitan areas and hosted at Cornell Tech, MIT Schwarzman College of Computing and the UCLA Samueli School of Engineering, respectively. This program was developed with input and expertise from leaders in the tech industry and academia and will scale to a total of six markets – including a virtual option – by 2025.

Funding from Melinda French Gates’ company Pivotal Ventures, Ken Griffin, Citadel and Citadel Securities, the Hopper-Dean Foundation and New Venture Fund will allow Break Through Tech to provide skills training, portfolio development and career mentoring to bridge the talent gap for underrepresented groups in data science, machine learning and AI careers.

Artificial intelligence (AI) is one of the fastest growing areas of employment in the tech industry with a growth rate of 344% in job openings in recent years, however women only account for roughly 18% of AI Researchers, Data Scientists and AI Engineers. By expanding access to resources through leading AI universities, the program is expected to reach 10% of female computing grads across the U.S. by 2025, providing them with the skills, experience, and mentoring to position them more competitively for careers in this field.

“Break Through Tech’s success at diversifying who is pursuing computer science degrees and careers has transformed lives and the industry,” said Judith Spitz, Founder and Executive Director of Break Through Tech, an initiative of Cornell Tech. “Thanks to the new funding from Pivotal Ventures, Ken Griffin, Citadel and Citadel Securities, Hopper-Dean Foundation and New Venture Fund, we can apply our impactful model to drive inclusion and diversity in artificial intelligence.”

Piloted in New York last summer, the program’s first cohort, hosted by Cornell Tech, included 40 women – more than half of whom identify as Black, Latina, Indigenous or who are low-income or first-generation college students. Cohort participants attend 18 different area colleges including eight CUNY schools, The Cooper Union, Rutgers University, New Jersey Institute of Technology and Stevens Institute of Technology, among others.

Break Through Tech will host the artificial intelligence and machine learning program at top ranked AI programs, such as Cornell Tech, MIT Schwarzman College of Computing and UCLA Samueli School of Engineering, and attract students from all three metropolitan areas to participate – with a goal that 75% of the participants are from universities that are outside these schools. Break Through Tech AI’s core programs will include:

  • Data Science and Machine Learning Skills: Students participate in an 8-week, in-person, skills-based summer course that teaches industry-relevant tools to build real-world AI solutions. Students learn how to analyze real-world data sets and use several common machine learning libraries to build, train, and implement their own ML models in a business context. The curriculum has been developed in partnership with a committee of academic and industry leaders in the field including members of the Association for the Advancement of Artificial Intelligence.
  • AI Studio: Following the summer course, students will build industry-relevant portfolios in a program that leverages the learning and experience from a component of Cornell Tech’s flagship Studio curriculum. Over the course of an academic year, Break Through Tech AI students will be matched with company-supplied machine-learning challenge projects. Working in teams, students from different universities will work together to build solutions to real-world challenges, collaborating closely with an industry advisor/mentor, resulting in a portfolio of resume-quality work.
  • Coaching, mentorship and internship placement support: During the academic school year, students are matched with professionals in their field who facilitate Break Through Tech’s mentorship curriculum and help mentees to build their network, prepare their portfolio, practice for interviews, and cultivate their workplace skills. Additionally, Break Through Tech will activate its national collaborative of employer partners to help place students into career-accelerating internships and full-time jobs.

The biggest hurdles many women and other underrepresented groups in tech face when they try to get their foot in the door are access and experience. Typically, students who support themselves are unable to sacrifice a paycheck for an unpaid, extracurricular educational opportunity. For this reason, Break Through Tech AI will give a stipend to each student to support their participation in the program.

“We are incredibly proud of our Break Through Tech initiative and its crucial impact in closing the inexcusable gender and diversity gap in tech today,” said Cornell Tech Dean Greg Morrisett. “Tackling the artificial intelligence sector in tech is crucial for creating equitable products, economies, and policy, and we’re excited to support the massive contribution Break Through Tech AI will have on both academia and industry.”

“Helping position students from diverse backgrounds to succeed in fields such as data science, machine learning and artificial intelligence is critical for our society’s future,” said Daniel Huttenlocher, Dean of the MIT Schwarzman College of Computing. “We look forward to working with students from across the Greater Boston area through the Break Through Tech program to provide them with skills and mentorship to help them find careers in this competitive and growing industry.”

“We are delighted to be the first public university to host Break Through Tech’s AI program, which will help expand equitable access for students from diverse backgrounds to harness the power of AI for the good of humanity,” said Jayathi Murthy, the Ronald and Valerie Sugar Dean of UCLA Samueli School of Engineering. “Southern California is home to many leading and emerging tech companies, and UCLA, the nation’s No. 1 public university, with its extensive industry connections, is poised to provide students with the resources and support they need to thrive in their careers.”

“AAAI believes that this program can address a critical need for diversity in the AI industry,” said the Association for the Advancement of Artificial Intelligence. Launched in 2016 at Cornell Tech, Break Through Tech’s goal is to achieve gender equality in tech by working at the intersection of academia and industry to propel more under-represented women into computer science degrees and jobs. Since the program’s launch, over 3,000 students have been served – resulting in 61.5% more women enrolling as computer science majors and 95.4% more women graduating with a bachelor’s degree in computer science at the City University of New York, its first partner university. The program is now hosted in New York City, Chicago, the DC Metro Area, Miami, Boston and Los Angeles.

To learn more about getting involved in Break Through Tech or Break Through Tech AI, please visit this link.

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About Break Through Tech
Break Through Tech works at the intersection of academia and industry to propel women into computing degrees and tech careers. Our programs are aimed at women during their early college years, with an emphasis on welcoming Black, Latina, Indigenous, and first-generation women, trans, and nonbinary students. Through innovative curriculum design, experiential learning, career preparation, and community-building opportunities, we prepare students to master the technical skills and gain the industry experience they need to launch their tech careers. Our Computing program is currently offered to students in New York City at the City University of New York, in Chicago at the University of Illinois-Chicago, in DC at George Mason University and University of Maryland College Park, and in Miami at Florida International University. Our AI program is currently hosted at Cornell Tech, MIT Schwarzman College of Computing, and the UCLA Samueli School of Engineering and is focused on welcoming students from across those regional metropolitan areas.

About Cornell Tech
Cornell Tech is Cornell University’s groundbreaking campus for technology research and education on Roosevelt Island in New York City. Our faculty, students and industry partners work together in an ultra-collaborative environment, pushing inquiry further and developing meaningful technologies for a digital society. Founded in partnership with the Technion-Israel Institute of Technology and the City of New York, Cornell Tech achieves global reach and local impact, extending Cornell University’s long history of leading innovation in computer science and engineering.

Media Contact:
BerlinRosen
cornell@berlinrosen.com







Photo Credit: Jenny Liu / Cornell Tech

By Jess Campitiello

“It’s been a few minutes since we’ve last done this. It’s actually been 1,048,320 minutes since we were all together.” 

This data nugget from Noel Hidalgo, Executive Director of BetaNYC, served as an apt way to kick off Open Data Week 2022’s School of Data, held at Cornell Tech.

Featuring more than 20 sessions and nearly 50 expert speakers across the fields of technology, data, and design, participants gathered to build connections and learn new skills through a series of data-centric panels and workshops — as well as celebrate the 10th anniversary of the NYC Open Data Law.

“This is about taking information that’s used to make government work and making it accessible to people,” said Zachary Feder, who works on the NYC Open Data team. “Because it really is your information. It’s information about your parks, your schools, your streets, your communities — and everyone should be able to see this information and have better access to it.”

The data exhibited throughout the day wasn’t just gathered out of idle curiosity — it’s being actively used in city planning. The MTA, for example, recently launched a program to install subway platform screen doors across city stations, despite having been resistant to the idea in the past.

BetaNYC, in collaboration with the Manhattan Borough President’s office, helped to shift the perception that it would be too difficult a task. Their teams combed through a dense 4,000-page PDF of information from the MTA — evaluating the feasibility of adding this technology to each of the 472 stations across New York City. They were able to identify over 100 stations where, by the MTA’s own data, it would be possible to implement screen door technology, and presented all of their findings back on an easy-to-understand map.

“I don’t think it’s a coincidence that within a week of that, the MTA announced a pilot to do this at three stations,” said Manhattan Borough President Mark Levine. “This is huge, and I think that data played a big role in shifting the public conversation on that. When people could see that there are stops in their neighborhood where the MTA has already concluded that this is feasible, they’re not going to take ‘no’ for an answer.”

Other topics discussed during the event included using data to improve public health and safety, diversity and equity, city sanitation, data literacy, pay transparency, urban planning, and even the tracking of squirrels in Central Park.

“The data is transparency,” said City Council Member Gale Brewer. “That’s what’s so exciting about the work today.”

School of Data is organized by BetaNYC, with programming support from the NYC Mayor’s Office of Data Analytics (MODA), and hosted by the Urban Tech Hub at Cornell Tech

Jess Campitiello is the Digital Communications Assistant at Cornell Tech.


By Linda Copman

As Cornell Tech celebrates its 10th year, the school has become a global hub for tech innovation. Over the past decade, Cornell Tech has helped make NYC the second most valuable startup ecosystem in the world, after Silicon Valley.

I think the best part of Cornell was knowing that whatever I was interested in working on, I would have the support of a professor who would offer mentorship and guidance.”

— Irene Font Peradejordi MS ’21, user researcher at Twitter

Irene Font Peradejordi MS ’21 outside the Tata Innovation Center at Cornell Tech in fall 2020
Irene Font Peradejordi MS ’21 outside the Tata Innovation Center at Cornell Tech in fall 2020

Cornell Tech opened its campus on Roosevelt Island just five years ago, with 30 faculty and 300 graduate students. Since then, Cornell Tech has been redefining the notion of collaboration in graduate education — working hand-in-hand with industry partners to solve real-world problems. Its programs have attracted visionary thinkers who are attracted by the opportunity to work with people in programs that blend technical expertise, business knowhow, and a creative mindset.

From agriculture to AI to healthcare, Cornell Tech alumni are driving social change. To showcase a few of the creative ways alumni are using their Cornell Tech degree, we reached out to three recent graduates:

 

These three all earned the same degree — Master of Science in Applied Information Science (Technion) & Master of Science Information Systems (Cornell) with a Concentration in Connective Media — but they have taken very different directions. We hope you enjoy their stories.

Shreyas Kulkarni MS ’17: it knew my name

Shreyas Kulkarni MS ’17 in 11th grade in 2006, studying computer programming without a computer
Shreyas Kulkarni MS ’17 in 11th grade in 2006, studying computer programming without a computer

Shreyas Kulkarni clearly remembers the first time he interacted with a computer. He was in the 7th grade, watching his Uncle Krishna learning how to code using the program “Hello World!” His uncle programmed the computer to say the phrase, “Hello Shreyas!” Shreyas recalls the thrill he felt thinking that the computer recognized him and knew his name. He was smitten.

Shreyas enrolled in classes at the only computing center in his hometown of Karkala, India, where the instructor took him under his wing. He practiced coding on his father’s computer and soon wrote his first program. At age 19, Shreyas launched his first startup, helping cashew producers in his region create an online presence to enhance their domestic and international sales.

After earning his undergraduate degree in software development, Shreyas went to work for the multinational bank, J.P. Morgan. “After ten months, I knew this wasn’t for me,” he says. “I always wanted to do something of my own.”

Shreyas says his family has been a big pillar of support: (L to R) his father, Dr. S.Y. Kulkarni, Shreyas, his mother Bharathi Kulkarni, and his sister Shruti Kulkarni
Shreyas says his family has been a big pillar of support: (L to R) his father, Dr. S.Y. Kulkarni, Shreyas, his mother Bharathi Kulkarni, and his sister Shruti Kulkarni

When a friend applied to Cornell Tech, Shreyas did some research into the new school and, once again, he was smitten. “With my love for entrepreneurship, I jumped on this,” he says.

For his Cornell Tech thesis, Shreyas created a collaborative filtering algorithm similar to the one Netflix uses to predict which movies a subscriber might enjoy based on their viewing history. He managed to create this algorithm on the user’s personal device, as opposed to using a central server, with 75-80% accuracy.

After graduating in 2017, Shreyas worked for Google for the next four years. Then, in March 2020, the pandemic hit. “COVID was a point of introspection for me,” he says. “I knew that money was the reason I was at Google and that there were many others like me — recent graduates whose student loans were a big factor in the choices we made. We weren’t getting the opportunity to do the things we were passionate about.”

We think of this as self-help, as taking some time to focus just on yourself.”

— Shreyas Kulkarni MS ’17

Shreyas says the most amazing moment at Cornell Tech was meeting Eric Schmidt, former CEO of Google, in 2016
Shreyas says the most amazing moment at Cornell Tech was meeting Eric Schmidt, former CEO of Google, in 2016

Shreyas recognized that mental health issues were prevalent among his peers, but that there was a stigma around acknowledging these issues. “It was not ok to talk about this,” he says. “I realized there was a big gap in our marketplace, and that we needed to prioritize and make emotional wellness fun.”

He teamed up with Mine’d to provide technical expertise to make the app work similar to other social media. “Our premise is not to take you away from your day to day to focus on mental wellness, but rather to build a product that that seamlessly integrates into your life,” he explains.

Mine’d users tune in to live sessions or take advantage of the app’s extensive video library to receive coaching in everything from setting workplace boundaries to handling challenges with money, relationships, or family members.

Shreyas with his wife, Apoorva Gururaja
Shreyas with his wife, Apoorva Gururaja

The app utilizes a panel of expert coaches, who are empathetic, relatable, and know how to talk about emotional issues.

Unlike Netflix preferences, a person’s mental health journey is highly individualized. “You really can’t bucket people,” Shreyas says. “But we can help people discover what their path looks like and find the right experts. We can help users think about things that trigger negative emotions, before they have a crisis.”

What to expect in the future?
“In the future, I believe that we will not have the feeling that we’re using a computer. Computing will be embedded in the spaces around us, so we don’t have to sit in front of one machine.” — Shreyas Kulkarni MS ’17

Irene Font Peradejordi MS ’21: the human side of AI

Irene Font Peradejordi MS ’21 hiking in Menorca, an Island in Catalonia, Spain, in July 2020
Irene Font Peradejordi MS ’21 hiking in Menorca, an Island in Catalonia, Spain, in July 2020

Since she was a child, Irene Font Peradejordi’s interests have straddled technology and social sciences. Irene grew up in Mataró, a small city near Barcelona, Spain. In high school she followed an engineering track and took the entrance exams to attend an engineering school. At the last minute, she changed course to pursue a degree in communication studies at the Universitat Pompeu Fabra in Barcelona. During her senior year, Irene studied abroad at Boston College, where she interned at an MIT Media Lab startup.

The ”la Caixa” Foundation scholarship ceremony, in Madrid in 2018 (L to R): Irene’s mother Elisenda Peradejordi Cantallops, Irene, and King Felipe VI of Spain
The ”la Caixa” Foundation scholarship ceremony, in Madrid in 2018 (L to R): Irene’s mother Elisenda Peradejordi Cantallops, Irene, and King Felipe VI of Spain

This experience piqued her interest in artificial intelligence (AI), and she earned a master’s degree in machine learning (ML) in the Netherlands. She then applied for and received a scholarship from the “la Caixa” Foundation (similar to a Fulbright grant) to further her studies in the U.S. She chose Cornell Tech because the Connective Media program enabled her to work at the intersection of social science and technology.

“My career path has been motivated by deep curiosities and inner motivations,” Irene says. “I was deeply interested in the more human side of AI — algorithmic bias. At Cornell Tech I was able to expand my socio-technical skills to build a career in Responsible Machine Learning.”

Non-linear career paths, as well as non-linear algorithms, are more complex and uncertain, but they can also have a much bigger expressive power.”

— Irene Font Peradejordi MS ’21

What is responsible ML?
“Algorithmic decision-making systems are trained to make decisions: for example, to choose and rank which content you might like the most, or to flag content as potentially harmful. Responsible ML is concerned with understanding the impact these decisions can have on society at large and on making sure the outcomes of these algorithms are fair and serve all people equitably.” — Irene Font Peradejordi MS ’21

Irene at Twitter’s NYC offices
Irene at Twitter’s NYC offices

Irene now works as a user researcher on Twitter’s META (Machine Learning Ethics, Transparency, and Accountability) team, a multidisciplinary group of about 20 people with expertise in both social sciences and technology. Team members are based around the world, but they collaborate closely. “Our paths end up crossing more than I would have expected,” she says. “I like to think that we are working on different building blocks that, in the end, all merge and work in unison.”

Irene’s role is to help design and deploy responsible and user-centered algorithmic systems. She explains that it’s difficult to foresee all potential problems, and that her team relies on direct feedback from users to uncover inequities. Feedback from diverse users helps Irene and her team identify unintended biases around race, age, gender, standards of beauty, disability status, and more — biases that they might not otherwise recognize.

“This was the motivation to launch the first Algorithmic Bias Bounty last year,” she says. “The bias bounty challenge helped us uncover a really wide range of issues in a short amount of time. We were able to learn from a diverse, global community of ethical AI hackers, whose lived experiences made it possible for them to discover unintended consequences in our models.”

Enjoy this clip of Irene kickboxing on the patio of The House at Cornell Tech in August 2020.

What to expect in the future?
“Letting algorithms decide what content you might find more relevant or how to crop the image you’re uploading might be convenient for some users, but it can also decrease your freedom of choice. I think we are going to see users having better control of algorithms and more agency over their user experiences.” — Irene Font Peradejordi MS ’21

Leanna Mulvihill MS ’20: one bite at a time

Leanna Mulvihiil MS ’20 at Willow Pond Sheep Farm. In 2021, Leanna worked there milking sheep on the weekends
Leanna Mulvihiil MS ’20 at Willow Pond Sheep Farm. In 2021, Leanna worked there milking sheep on the weekends

Farming was not a family affair for Leanna Mulvihill. She became interested in agroecology during her undergraduate studies at SUNY Environmental Science and Forestry in Syracuse. In 2014, Leanna dove in full-time to the world of livestock production — raising sheep, pigs, and cows on leased farmland in the Hudson Valley.

She faced many challenges, including: high labor costs, the precarious nature of farming on leased land, the difficulty of scaling up to turn a profit, and the lack of meat processing facilities in New York State.

Leanna and her grandmother Marjorie Mulvihill at Leanna’s Four Legs Farm in 2015
Leanna and her grandmother Marjorie Mulvihill at Leanna’s Four Legs Farm in 2015

“The business of agriculture is so consolidated that it’s difficult for small producers to become financially viable,” she says, adding, “It’s also difficult for wholesalers to purchase from small producers because of the logistics involved.”

After seven years, Leanna decided to sell her livestock business and go back to school. She was attracted by the interdisciplinary nature of Cornell Tech’s programs and by the fact that they welcomed non-traditional students. “My admission essay was about a really terrible trip to the slaughterhouse,” she says with a smile.

At Cornell Tech, she was one of a cohort of about 35 other students in the Connective Media program — most of whom were already working in tech fields. She was new to the industry. “No one was doing what I did,” Leanna says.

The Empire State of Food Team at Cornell Tech in fall 2019: (L to R) Paula Barmaimon Mendelberg, Prasenjit Roy MS ’20, Leanna, and Daniel Nissani MS ’20
The Empire State of Food Team at Cornell Tech in fall 2019: (L to R) Paula Barmaimon Mendelberg, Prasenjit Roy MS ’20, Leanna, and Daniel Nissani MS ’20

Leanna was working on her thesis, the Empire State of Food — a project to connect institutional buyers like schools and hospitals with small food producers — when the pandemic hit. In April 2020, she pivoted to work with a small distributor and local non-profit to deliver healthy food to 20 to 30 families in Brooklyn. “This was a very scary time in NYC,” she says. “Grocery shelves were empty, and I was grateful that families were willing to try this experiment with us.”

Rebuilding the local food system is a generational-sized problem.”

— Leanna Mulvihill MS ’20

After she graduated, Leanna applied for a product manager role with Rosie, an app that works with independent grocers across the country to deliver food to customers. Rosie was founded by Nick Nickitas MBA ’14 in 2012, while he was a student at Cornell.

Leanna says that Rosie is different from apps like Instacart in several ways. First, the company focuses on independent grocers and smaller retailers. “These are businesses that are definitely invested in local communities, and, frequently, they may be the only option for folks in that area,” Leanna explains.

Leanna enjoys going on leisurely runs around the Cornell Ithaca campus after her workday at Rosie ends
Leanna enjoys going on leisurely runs around the Cornell Ithaca campus after her workday at Rosie ends

Second, the grocers have greater control over their relationship with the customer: store employees package the orders, not gig workers. And stores maintain their own branding on the app, so that products are displayed in a way that’s consistent with the store’s own web site.

As product manager, Leanna’s role is to continue to enhance the user experience and functionality of the app. For example, she’s currently working to ensure that if a customer forgets an item once they place their order, they can easily add that item after checkout. She’s also working to improve the search functionality of the program, so that customers can search for hot dogs and get results that include hot dogs, as well as frankfurters.

“My favorite part of my work is the problem-solving aspect,” Leanna says. “It’s a small enough company that you know the team members and you can see the impact of your work,” she adds.

Rosie is supporting small businesses and providing more opportunities to small producers, she explains. “This is part of decentralizing our food system, so we don’t have empty grocery store shelves when supply chain issues disrupt big box stores,” she says.

What to expect in the future?
“We already have tech in the food and farming world, but we’re learning how apply it in new and creative ways. This will make it easier for buyers to purchase from local producers.” — Leanna Mulvihill MS ’20

This story originally appeared in the Cornell Alumni News.