From MIT, an instruction manual for turning research into startups

Since MIT opened the first-of-its-kind venture studio within a university in 2019, it has demonstrated how a systemic process can help turn research into impactful ventures. 

Now, MIT Proto Ventures is launching the “R&D Venture Studio Playbook,” a resource to help universities, national labs, and corporate R&D offices establish their own in-house venture studios. The online publication offers a comprehensive framework for building ventures from the ground up within research environments.

“There is a huge opportunity cost to letting great research sit idle,” says Fiona Murray, associate dean for innovation at the MIT Sloan School of Management and a faculty director for Proto Ventures. “The venture studio model makes research systematic, rather than messy and happenstance.” 

Bigger than MIT

The new playbook arrives amid growing national interest in revitalizing the United States’ innovation pipeline — a challenge underscored by the fact that just a fraction of academic patents ever reach commercialization.

“Venture-building across R&D organizations, and especially within academia, has been based on serendipity,” says MIT Professor Dennis Whyte, a faculty director for Proto Ventures who helped develop the playbook. “The goal of R&D venture studios is to take away the aspect of chance — to turn venture-building into a systemic process. And this is something not just MIT needs; all research universities and institutions need it.”

Indeed, MIT Proto Ventures is actively sharing the playbook with peer institutions, federal agencies, and corporate R&D leaders seeking to increase the translational return on their research investments.

“We’ve been following MIT’s Proto Ventures model with the vision of delivering new ventures that possess both strong tech push and strong market pull,” says Mark Arnold, associate vice president of Discovery to Impact and managing director of Texas startups at The University of Texas at Austin. “By focusing on market problems first and creating ventures with a supportive ecosystem around them, universities can accelerate the transition of ideas from the lab into real-world solutions.” 

What’s in the playbook

The playbook outlines the venture studio model process followed by MIT Proto Ventures. MIT’s venture studio embeds full-time entrepreneurial scientists — called venture builders — inside research labs. These builders work shoulder-to-shoulder with faculty and graduate students to scout promising technologies, validate market opportunities, and co-create new ventures.

“We see this as an open-source framework for impact,” says MIT Proto Ventures Managing Director Gene Keselman. “Our goal is not just to build startups out of MIT — it’s to inspire innovation wherever breakthrough science is happening.”

The playbook was developed by the MIT Proto Ventures team — including Keselman, venture builders David Cohen-Tanugi and Andrew Inglis, and faculty leaders Murray, Whyte, Andrew Lo, Michael Cima, and Michael Short. 

“This problem is universal, so we knew if it worked there’d be an opportunity to write the book on how to build a translational engine,” Keselman said. “We’ve had enough success now to be able to say, ‘Yes, this works, and here are the key components.’” 

In addition to detailing core processes, the playbook includes case studies, sample templates, and guidance for institutions seeking to tailor the model to fit their unique advantages. It emphasizes that building successful ventures from R&D requires more than mentorship and IP licensing — it demands deliberate, sustained focus, and a new kind of translational infrastructure. 

How it works

A key part of MIT’s venture studio is structuring efforts into distinct tracks or problem areas — MIT Proto Ventures calls these channels. Venture builders work in a single track that aligns with their expertise and interest. For example, Cohen-Tanugi is embedded in the MIT Plasma Science and Fusion Center, working in the Fusion and Clean Energy channel. His first two venture successes have been a venture using superconducting magnets for in-space propulsion and a deep-tech startup improving power efficiency in data centers.

“This playbook is both a call to action and a blueprint,” says Cohen-Tanugi, lead author of the playbook. “We’ve learned that world-changing inventions often remain on the lab bench not because they lack potential, but because no one is explicitly responsible for turning them into businesses. The R&D venture studio model fixes that.”

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Four from MIT named 2025 Goldwater Scholars

Four MIT rising seniors have been selected to receive a 2025 Barry Goldwater Scholarship, including Avani Ahuja and Jacqueline Prawira in the School of Engineering and Julianna Lian and Alex Tang from the School of Science. An estimated 5,000 college sophomores and juniors from across the United States were nominated for the scholarships, of whom only 441 were selected.

The Goldwater Scholarships have been conferred since 1989 by the Barry Goldwater Scholarship and Excellence in Education Foundation. These scholarships have supported undergraduates who go on to become leading scientists, engineers, and mathematicians in their respective fields.

Avani Ahuja, a mechanical engineering and electrical engineering major, conducts research in the Conformable Decoders group, where she is focused on developing a “wearable conformable breast ultrasound patch” that makes ultrasounds for breast cancer more accessible.

“Doing research in the Media Lab has had a huge impact on me, especially in the ways that we think about inclusivity in research,” Ahuja says.

In her research group, Ahuja works under Canan Dagdeviren, the LG Career Development Professor of Media Arts and Sciences. Ahuja plans to pursue a PhD in electrical engineering. She aspires to conduct research in electromechanical systems for women’s health applications and teach at the university level.

“I want to thank Professor Dagdeviren for all her support. It’s an honor to receive this scholarship, and it’s amazing to see that women’s health research is getting recognized in this way,” Ahuja says.

Julianna Lian studies mechanochemistry, organic, and polymer chemistry in the lab of Professor Jeremiah Johnson, the A. Thomas Guertin Professor of Chemistry. In addition to her studies, she serves the MIT community as an emergency medical technician (EMT) with MIT Emergency Medical Services, is a member of MIT THINK, and a ClubChem mentorship chair.

“Receiving this award has been a tremendous opportunity to not only reflect on how much I have learned, but also on the many, many people I have had the chance to learn from,” says Lian. “I am deeply grateful for the guidance, support, and encouragement of these teachers, mentors, and friends. And I am excited to carry forward the lasting curiosity and excitement for chemistry that they have helped inspire in me.”

Lian’s career goals post-graduation include pursuing a PhD in organic chemistry, to conduct research at the interface of synthetic chemistry and materials science, aided by computation, and to teach at the university level.

Jacqueline Prawira, a materials science and engineering major, joined the Center of Decarbonization and Electrification of Industry as a first-year Undergraduate Research Opportunities Program student and became a co-inventor on a patent and a research technician at spinout company Rock Zero. She has also worked in collaboration with Indigenous farmers and Diné College students on the Navajo Nation.

“I’ve become significantly more cognizant of how I listen to people and stories, the tangled messiness of real-world challenges, and the critical skills needed to tackle complex sustainability issues,” Prawira says.

Prawira is mentored by Yet-Ming Chiang, professor of materials science and engineering. Her career goals are to pursue a PhD in materials science and engineering and to research sustainable materials and processes to solve environmental challenges and build a sustainable society.

“Receiving the prestigious title of 2025 Goldwater Scholar validates my current trajectory in innovating sustainable materials and demonstrates my growth as a researcher,” Prawira says. “This award signifies my future impact in building a society where sustainability is the norm, instead of just another option.”

Alex Tang studies the effects of immunotherapy and targeted molecular therapy on the tumor microenvironment in metastatic colorectal cancer patients. He is supervised by professors Jonathan Chen at Northwestern University and Nir Hacohen at the Broad Institute of MIT and Harvard.

“My mentors and collaborators have been instrumental to my growth since I joined the lab as a freshman. I am incredibly grateful for the generous mentorship and support of Professor Hacohen and Professor Chen, who have taught me how to approach scientific investigation with curiosity and rigor,” says Tang. “I’d also like to thank my advisor Professor Adam Martin and first-year advisor Professor Angela Belcher for their guidance throughout my undergraduate career thus far. I am excited to carry forward this work as I progress in my career.” Tang intends to pursue physician-scientist training following graduation.

The Scholarship Program honoring Senator Barry Goldwater was designed to identify, encourage, and financially support outstanding undergraduates interested in pursuing research careers in the sciences, engineering, and mathematics. The Goldwater Scholarship is the preeminent undergraduate award of its type in these fields.

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The tenured engineers of 2025

In 2025, MIT granted tenure to 11 faculty members across the School of Engineering. This year’s tenured engineers hold appointments in the departments of Aeronautics and Astronautics, Biological Engineering, Chemical Engineering, Electrical Engineering and Computer Science (EECS) — which reports jointly to the School of Engineering and MIT Schwarzman College of Computing — Materials Science and Engineering, Mechanical Engineering, and Nuclear Science and Engineering.

“It is with great pride that I congratulate the 11 newest tenured faculty members in the School of Engineering. Their dedication to advancing their fields, mentoring future innovators, and contributing to a vibrant academic community is truly inspiring,” says Anantha Chandrakasan, chief innovation and strategy officer, dean of engineering, and the Vannevar Bush Professor of Electrical Engineering and Computer Science who will assume the title of MIT provost July 1. “This milestone is not only a testament to their achievements, but a promise of even greater impact ahead.”

This year’s newly tenured engineering faculty include:

Bryan Bryson, the Phillip and Susan Ragon Career Development Professor in the Department of Biological Engineering, conducts research in infectious diseases and immunoengineering. He is interested in developing new tools to dissect the complex dynamics of bacterial infection at a variety of scales ranging from single cells to infected animals, sitting in both “reference frames” by taking both an immunologist’s and a microbiologist’s perspective.

Connor Coley is the Class of 1957 Career Development Professor and associate professor of chemical engineering, with a shared appointment in EECS. His research group develops new computational methods at the intersection of artificial intelligence and chemistry with relevance to small molecule drug discovery, chemical synthesis, and structure elucidation.

Mohsen Ghaffari is the Steven and Renee Finn Career Development Professor and an associate professor in the EECS. His research explores the theory of distributed and parallel computation. He has done influential work on a range of algorithmic problems, including generic derandomization methods for distributed computing and parallel computing, improved distributed algorithms for graph problems, sublinear algorithms derived via distributed techniques, and algorithmic and impossibility results for massively parallel computation.

Rafael Gomez-Bombarelli, the Paul M. Cook Development Professor and associate professor of materials science and engineering, works at the interface between machine learning and atomistic simulations. He uses computational tools to tackle design of materials in complex combinatorial search spaces, such as organic electronic materials, energy storage polymers and molecules, and heterogeneous (electro)catalysts. 

Song Han, an associate professor in EECS, is a pioneer in model compression and TinyML. He has innovated in key areas of pruning quantization, parallelization, KV cache optimization, long-context learning, and multi-modal representation learning to minimize generative AI costs, and he designed the first hardware accelerator (EIE) to exploit weight sparsity.

Kaiming He, the Douglass Ross (1954) Career Development Professor of Software Technology and an associate professor in EECS, is best known for his work on deep residual networks (ResNets). His research focuses on building computer models that can learn representations and develop intelligence from and for the complex world, with the long-term goal of augmenting human intelligence with more capable artificial intelligence.

Phillip Isola, the Class of 1948 Career Development Professor and associate professor in EECS, studies computer vision, machine learning, and AI. His research aims to uncover fundamental principles of intelligence, with a particular focus on how models and representations of the world can be acquired through self-supervised learning, from raw sensory experience alone, and without the use of labeled data.

Mingda Li is the Class of 1947 Career Development Professor and an associate professor in the Department of Nuclear Science and Engineering. His research lies in characterization and computation.

Richard Linares is an associate professor in the Department of Aeronautics and Astronautics. His research focuses on astrodynamics, space systems, and satellite autonomy. Linares develops advanced computational tools and analytical methods to address challenges associated with space traffic management, space debris mitigation, and space weather modeling.

Jonathan Ragan-Kelley, an associate professor in EECS, has designed everything from tools for visual effects in movies to the Halide programming language that’s widely used in industry for photo editing and processing. His research focuses on high-performance computer graphics and accelerated computing, at the intersection of graphics with programming languages, systems, and architecture.

Arvind Satyanarayan is an associate professor in EECS. His research areas cover data visualization, human-computer interaction, and artificial intelligence and machine learning. He leads the MIT Visualization Group, which uses interactive data visualization as a petri dish to study intelligence augmentation — how computation can help amplify human cognition and creativity while respecting our agency.

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MIx helps innovators tackle challenges in national security

Startups and government defense agencies have historically seemed like polar opposites. Startups thrive on speed and risk, while defense agencies are more cautious. Over the past few years, however, things have changed. Many startups are eager to work with these organizations, which are always looking for innovative solutions to their hardest problems.

To help bridge that gap while advancing research along the way, MIT Lecturer Gene Keselman launched MIT’s Mission Innovation X (MIx) along with Sertac Karaman, a professor in the MIT Department of Aeronautics and Astronautics, and Fiona Murray, the William Porter Professor of Entrepreneurship at the MIT Sloan School of Management. MIx develops educational programming, supports research at MIT, and facilitates connections among government organizations, startups, and researchers.

“Startups know how to commercialize their tech, but they don’t necessarily know how to work with the government, and especially how to understand the needs of defense customers,” explains MIx Senior Program Manager Keenan Blatt. “There are a lot of different challenges when it comes to engaging with defense, not only from a procurement cycle and timeline perspective, but also from a culture perspective.”

MIx’s work helps innovators secure crucial early funding while giving defense agencies access to cutting-edge technologies, boosting America’s security capabilities in the process. Through the work, MIx has also become a thought leader in the emerging “dual-use” space, in which researchers and founders make strategic choices to advance technologies that have both civilian and defense applications.

Gene Keselman, the executive director of MIx as well as managing director of MIT’s venture studio Proto Ventures and a colonel in the U.S. Air Force Reserve, believes MIT is uniquely positioned to deliver on MIx’s mission.

“It’s not a coincidence MIx is happening at MIT,” says Keselman, adding that supporting national security “is part of MIT’s ethos.”

A history of service

MIx’s work has deep roots at the Institute.

“MIT has worked with the Department of Defense since at least since the 1940s, but really going back to its founding years,” says Karaman, who is also the director of MIT’s Laboratory for Information and Decision Systems (LIDS), a research group with its own long history of working with the government.

“The difference today,” adds Murray, who teaches courses on building deep tech ventures and regional innovation ecosystems and is the vice chair of NATO's Innovation Fund, “is that defense departments and others looking to support the defense, security, and resilience agenda are looking to several innovation ecosystem stakeholders — universities, startup ventures, and venture capitalists — for solutions. Not only from the large prime contractors.  We have learned this lesson from Ukraine, but the same ecosystem logic is at the core of our MIx offer.”

MIx was borne out of the MIT Innovation Initiative in response to interest Keselman saw from researchers and defense officials in expanding MIT’s work with the defense and global security communities. About seven years ago, he hired Katie Person, who left MIT last year to become a battalion commander, to handle all that interest as a program manager with the initiative. MIx activities, like mentoring and educating founders, began shortly after, and MIx officially launched at MIT in 2021.

“It was a good example of the ways in which MIT responds to its students’ interests and external demand,” Keselman says.

One source of early interest was from startup founders who wanted to know how to work with the defense industry and commercialize technology that could have dual commercial and defense applications. That led the team to launch the Dual Use Ventures course, which helps startup founders and other innovators work with defense agencies. The course has since been offered annually during MIT’s Independent Activities Period (IAP) and tailored for NATO’s Defense Innovation Accelerator for the North Atlantic (DIANA).

Personnel from agencies including U.S. Special Operations Command were also interested in working with MIT students, which led the MIx team to develop course 15.362/6.9160 (Engineering Innovation: Global Security Systems), which is taken each spring by students across MIT and Harvard University.

“There are the government organizations that want to be more innovative and work with startups, and there are startups that want to get access to funding from government and have government as a customer,” Keselman says. “We’re kind of the middle layer, facilitating connections, educating, and partnering on research.”

MIx research activities give student and graduate researchers opportunities to work on pressing problems in the real world, and the MIT community has responded eagerly: More than 150 students applied for MIx’s openings in this summer’s Undergraduate Research Opportunities Program.

"We’re helping push the boundaries of what’s possible and explore the frontiers of technology, but do it in a way that is publishable," says MIx Head Research Scientist A.J. Perez ’13, MEng ’14, PhD ’23. “More broadly, we want to unlock as much support for students and researchers at MIT as possible to work on problems that we know matter to defense agencies.”

Early wins

Some of MIx’s most impactful research so far has come in partnership with startups. For example, MIx helped the startup Picogrid secure a small business grant from the U.S. Air Force to build an early wildfire detection system. As part of the grant, MIT students built a computer vision model for Picogrid’s devices that can detect smoke in the sky, proving the technical feasibility of the system and describing a promising new pathway in the field of machine learning.

In another recent project with the MIT alumni-founded startup Nominal, MIT students helped improve and automate post-flight data analysis for the U.S. Air Force’s Test Pilot School.

MIx’s work connecting MIT’s innovators and the wider innovation ecosystem with defense agencies has already begun to bear fruit, and many members of MIx believe early collaborations are a sign of things to come.

“We haven’t even scratched the surface of the potential for MIx,” says Karaman, “This could be the start of something much bigger.”

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LLMs factor in unrelated information when recommending medical treatments

A large language model (LLM) deployed to make treatment recommendations can be tripped up by nonclinical information in patient messages, like typos, extra white space, missing gender markers, or the use of uncertain, dramatic, and informal language, according to a study by MIT researchers.

They found that making stylistic or grammatical changes to messages increases the likelihood an LLM will recommend that a patient self-manage their reported health condition rather than come in for an appointment, even when that patient should seek medical care.

Their analysis also revealed that these nonclinical variations in text, which mimic how people really communicate, are more likely to change a model’s treatment recommendations for female patients, resulting in a higher percentage of women who were erroneously advised not to seek medical care, according to human doctors.

This work “is strong evidence that models must be audited before use in health care — which is a setting where they are already in use,” says Marzyeh Ghassemi, an associate professor in the MIT Department of Electrical Engineering and Computer Science (EECS), a member of the Institute of Medical Engineering Sciences and the Laboratory for Information and Decision Systems, and senior author of the study.

These findings indicate that LLMs take nonclinical information into account for clinical decision-making in previously unknown ways. It brings to light the need for more rigorous studies of LLMs before they are deployed for high-stakes applications like making treatment recommendations, the researchers say.

“These models are often trained and tested on medical exam questions but then used in tasks that are pretty far from that, like evaluating the severity of a clinical case. There is still so much about LLMs that we don’t know,” adds Abinitha Gourabathina, an EECS graduate student and lead author of the study.

They are joined on the paper, which will be presented at the ACM Conference on Fairness, Accountability, and Transparency, by graduate student Eileen Pan and postdoc Walter Gerych.

Mixed messages

Large language models like OpenAI’s GPT-4 are being used to draft clinical notes and triage patient messages in health care facilities around the globe, in an effort to streamline some tasks to help overburdened clinicians.

A growing body of work has explored the clinical reasoning capabilities of LLMs, especially from a fairness point of view, but few studies have evaluated how nonclinical information affects a model’s judgment.

Interested in how gender impacts LLM reasoning, Gourabathina ran experiments where she swapped the gender cues in patient notes. She was surprised that formatting errors in the prompts, like extra white space, caused meaningful changes in the LLM responses.

To explore this problem, the researchers designed a study in which they altered the model’s input data by swapping or removing gender markers, adding colorful or uncertain language, or inserting extra space and typos into patient messages.

Each perturbation was designed to mimic text that might be written by someone in a vulnerable patient population, based on psychosocial research into how people communicate with clinicians.

For instance, extra spaces and typos simulate the writing of patients with limited English proficiency or those with less technological aptitude, and the addition of uncertain language represents patients with health anxiety.

“The medical datasets these models are trained on are usually cleaned and structured, and not a very realistic reflection of the patient population. We wanted to see how these very realistic changes in text could impact downstream use cases,” Gourabathina says.

They used an LLM to create perturbed copies of thousands of patient notes while ensuring the text changes were minimal and preserved all clinical data, such as medication and previous diagnosis. Then they evaluated four LLMs, including the large, commercial model GPT-4 and a smaller LLM built specifically for medical settings.

They prompted each LLM with three questions based on the patient note: Should the patient manage at home, should the patient come in for a clinic visit, and should a medical resource be allocated to the patient, like a lab test.

The researchers compared the LLM recommendations to real clinical responses.

Inconsistent recommendations

They saw inconsistencies in treatment recommendations and significant disagreement among the LLMs when they were fed perturbed data. Across the board, the LLMs exhibited a 7 to 9 percent increase in self-management suggestions for all nine types of altered patient messages.

This means LLMs were more likely to recommend that patients not seek medical care when messages contained typos or gender-neutral pronouns, for instance. The use of colorful language, like slang or dramatic expressions, had the biggest impact.

They also found that models made about 7 percent more errors for female patients and were more likely to recommend that female patients self-manage at home, even when the researchers removed all gender cues from the clinical context.

Many of the worst results, like patients told to self-manage when they have a serious medical condition, likely wouldn’t be captured by tests that focus on the models’ overall clinical accuracy.

“In research, we tend to look at aggregated statistics, but there are a lot of things that are lost in translation. We need to look at the direction in which these errors are occurring — not recommending visitation when you should is much more harmful than doing the opposite,” Gourabathina says.

The inconsistencies caused by nonclinical language become even more pronounced in conversational settings where an LLM interacts with a patient, which is a common use case for patient-facing chatbots.

But in follow-up work, the researchers found that these same changes in patient messages don’t affect the accuracy of human clinicians.

“In our follow up work under review, we further find that large language models are fragile to changes that human clinicians are not,” Ghassemi says. “This is perhaps unsurprising — LLMs were not designed to prioritize patient medical care. LLMs are flexible and performant enough on average that we might think this is a good use case. But we don’t want to optimize a health care system that only works well for patients in specific groups.”

The researchers want to expand on this work by designing natural language perturbations that capture other vulnerable populations and better mimic real messages. They also want to explore how LLMs infer gender from clinical text.

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Introducing the L. Rafael Reif Innovation Corridor

The open space connecting Hockfield Court with Massachusetts Avenue, in the heart of MIT’s campus, is now the L. Rafael Reif Innovation Corridor, in honor of the Institute’s 17th president. At a dedication ceremony Monday, Reif’s colleagues, friends, and family gathered to honor his legacy and unveil a marker for the walkway that was previously known as North Corridor or “the Outfinite.”

“It’s no accident that the space we dedicate today is not a courtyard, but a corridor — a channel for people and ideas to flow freely through the heart of MIT, and to carry us outward, to limits of our aspirations,” said Sally Kornbluth, who succeeded Reif as MIT president in 2023.

“With his signature combination of new-world thinking and old-world charm, and as a grand thinker and doer, Rafael left an indelible mark on MIT,” Kornbluth said. “As a permanent testament to his service and his achievements in service to MIT, the nation, and the world, we now dedicate this space as the L. Rafael Reif Innovation Corridor.”

Reif served as president for more than 10 years, following seven years as provost. He has been at MIT since 1980, when he joined the faculty as an assistant professor of electrical engineering.

“Through all those roles, what stood out most was his humility, his curiosity, and his remarkable ability to speak with clarity and conviction,” said Corporation Chair Mark Gorenberg, who opened the ceremony. “Under his leadership, MIT not only stayed true to its mission, it thrived, expanding its impact and strengthening its global voice.”

Gorenberg introduced Abraham J. Siegel Professor of Management and professor of operations research Cindy Barnhart, who served as chancellor, then provost, during Reif’s term as president. Barnhart, who will be stepping down as provost on July 1, summarized the many highlights from Reif’s presidency, such as the establishment of MIT Schwarzman College of Computing, the revitalization of Kendall Square, and the launch of The Engine, as well as the construction or modernization of many buildings, from the Wright Brothers Wind Tunnel to the new Edward and Joyce Linde Music Building, among other accomplishments.

“Beyond space, Rafael’s bold thinking and passion extends to MIT’s approach to education,” Barnhart continued, describing how Reif championed the building of OpenCourseWare, MITx, and edX. She also noted his support for the health and well-being of the MIT community, through efforts such as addressing student sexual misconduct and forming the MindHandHeart initiative. He also hosted dance parties and socials, joined students in the dining halls for dinner, chatted with faculty and staff over breakfasts and at forums, and more.

“At gatherings over the years, Rafael’s wife, Chris, was there by his side,” Barnhart noted, adding, “I’d like to take this opportunity to acknowledge her and thank her for her welcoming and gracious spirit.”

In summary, “I am grateful to Rafael for his visionary leadership and for his love of MIT and its people,” Barnhart said as she presented Reif with a 3D-printed replica of the Maclaurin buildings (MIT Buildings 3, 4, and 10), which was created through a collaboration between the Glass Lab, Edgerton Center, and Project Manus.

Next, Institute Professor Emeritus John Harbison played an interlude on the piano, and a musical ensemble reprised the “Rhumba for Rafael,” which Harbison composed for Reif’s inauguration in 2012.

When Reif took the podium, he reflected on the location of the corridor and its significance to early chapters in his own career; his first office and lab were in Building 13, overlooking what is now the eponymous walkway.

He also considered the years ahead: “The people who pass through this corridor in the future will surely experience the unparalleled excitement of being young at MIT, with the full expectation of upending the world to improve it,” he said.

Faculty and staff walking through the corridor may experience the “undimmed excitement” of working and studying alongside extraordinary students and colleagues, and feeling the “deep satisfaction of having created infinite memories here throughout a long career.”

“Even if none of them gives me a thought,” Reif continued, “I would like to believe that my spirit will be here, watching them with pride as they continue the never-ending mission of creating a better world.”

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Island rivers carve passageways through coral reefs

Volcanic islands, such as the islands of Hawaii and the Caribbean, are surrounded by coral reefs that encircle an island in a labyrinthine, living ring. A coral reef is punctured at points by reef passes — wide channels that cut through the coral and serve as conduits for ocean water and nutrients to filter in and out. These watery passageways provide circulation throughout a reef, helping to maintain the health of corals by flushing out freshwater and transporting key nutrients.

Now, MIT scientists have found that reef passes are shaped by island rivers. In a study appearing today in the journal Geophysical Research Letters, the team shows that the locations of reef passes along coral reefs line up with where rivers funnel out from an island’s coast.

Their findings provide the first quantitative evidence of rivers forming reef passes.  Scientists and explorers had speculated that this may be the case: Where a river on a volcanic island meets the coast, the freshwater and sediment it carries flows toward the reef, where a strong enough flow can tunnel into the surrounding coral. This idea has been proposed from time to time but never quantitatively tested, until now.

“The results of this study help us to understand how the health of coral reefs depends on the islands they surround,” says study author Taylor Perron, the Cecil and Ida Green Professor of Earth, Atmospheric and Planetary Sciences at MIT.

“A lot of discussion around rivers and their impact on reefs today has been negative because of human impact and the effects of agricultural practices,” adds lead author Megan Gillen, a graduate student in the MIT-WHOI Joint Program in Oceanography. “This study shows the potential long-term benefits rivers can have on reefs, which I hope reshapes the paradigm and highlights the natural state of rivers interacting with reefs.”

The study’s other co-author is Andrew Ashton of the Woods Hole Oceanographic Institution.

Drawing the lines

The new study is based on the team’s analysis of the Society Islands, a chain of islands in the South Pacific Ocean that includes Tahiti and Bora Bora. Gillen, who joined the MIT-WHOI program in 2020, was interested in exploring connections between coral reefs and the islands they surround. With limited options for on-site work during the Covid-19 pandemic, she and Perron looked to see what they could learn through satellite images and maps of island topography. They did a quick search using Google Earth and zeroed in on the Society Islands for their uniquely visible reef and island features.

“The islands in this chain have these iconic, beautiful reefs, and we kept noticing these reef passes that seemed to align with deeply embayed portions of the coastline,” Gillen says. “We started asking ourselves, is there a correlation here?”

Viewed from above, the coral reefs that circle some islands bear what look to be notches, like cracks that run straight through a ring. These breaks in the coral are reef passes — large channels that run tens of meters deep and can be wide enough for some boats to pass through. On first look, Gillen noticed that the most obvious reef passes seemed to line up with flooded river valleys — depressions in the coastline that have been eroded over time by island rivers that flow toward the ocean. She wondered whether and to what extent island rivers might shape reef passes.

“People have examined the flow through reef passes to understand how ocean waves and seawater circulate in and out of lagoons, but there have been no claims of how these passes are formed,” Gillen says. “Reef pass formation has been mentioned infrequently in the literature, and people haven’t explored it in depth.”

Reefs unraveled

To get a detailed view of the topography in and around the Society Islands, the team used data from the NASA Shuttle Radar Topography Mission — two radar antennae that flew aboard the space shuttle in 1999 and measured the topography across 80 percent of the Earth’s surface.

The researchers used the mission’s topographic data in the Society Islands to create a map of every drainage basin along the coast of each island, to get an idea of where major rivers flow or once flowed. They also marked the locations of every reef pass in the surrounding coral reefs. They then essentially “unraveled” each island’s coastline and reef into a straight line, and compared the locations of basins versus reef passes.

“Looking at the unwrapped shorelines, we find a significant correlation in the spatial relationship between these big river basins and where the passes line up,” Gillen says. “So we can say that statistically, the alignment of reef passes and large rivers does not seem random. The big rivers have a role in forming passes.”

As for how rivers shape the coral conduits, the team has two ideas, which they call, respectively, reef incision and reef encroachment. In reef incision, they propose that reef passes can form in times when the sea level is relatively low, such that the reef is exposed above the sea surface and a river can flow directly over the reef. The water and sediment carried by the river can then erode the coral, progressively carving a path through the reef.

When sea level is relatively higher, the team suspects a reef pass can still form, through reef encroachment. Coral reefs naturally live close to the water surface, where there is light and opportunity for photosynthesis. When sea levels rise, corals naturally grow upward and inward toward an island, to try to “catch up” to the water line.

“Reefs migrate toward the islands as sea levels rise, trying to keep pace with changing average sea level,” Gillen says.

However, part of the encroaching reef can end up in old river channels that were previously carved out by large rivers and that are lower than the rest of the island coastline. The corals in these river beds end up deeper than light can extend into the water column, and inevitably drown, leaving a gap in the form of a reef pass.

“We don’t think it’s an either/or situation,” Gillen says. “Reef incision occurs when sea levels fall, and reef encroachment happens when sea levels rise. Both mechanisms, occurring over dozens of cycles of sea-level rise and island evolution, are likely responsible for the formation and maintenance of reef passes over time.”

The team also looked to see whether there were differences in reef passes in older versus younger islands. They observed that younger islands were surrounded by more reef passes that were spaced closer together, versus older islands that had fewer reef passes that were farther apart.

As islands age, they subside, or sink, into the ocean, which reduces the amount of land that funnels rainwater into rivers. Eventually, rivers are too weak to keep the reef passes open, at which point, the ocean likely takes over, and incoming waves could act to close up some passes.

Gillen is exploring ideas for how rivers, or river-like flow, can be engineered to create paths through coral reefs in ways that would promote circulation and benefit reef health.

“Part of me wonders: If you had a more persistent flow, in places where you don’t naturally have rivers interacting with the reef, could that potentially be a way to increase health, by incorporating that river component back into the reef system?” Gillen says. “That’s something we’re thinking about.”

This research was supported, in part, by the WHOI Watson and Von Damm fellowships.

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