Temporary gatherings — like conferences and hackathons — are essential to attracting third-party developers. Photo via Getty Images

Companies like Amazon, Microsoft and Apple depend on third-party developers to create applications that improve the user experience on their platforms. However, given the many options available, developers face a daunting task in deciding which platform to focus their efforts on.

“Developers are faced with imperfect information,” says Rice Business assistant professor Tommy Pan Fang. “They don’t have an overview of the entire technology landscape.”

A team of researchers, consisting of Fang, Andy Wu (Harvard University) and David Clough (University of British Columbia), set out to investigate how temporary gatherings like “hackathons” — in-person software development competitions — might influence a developer’s choice of software platform.

Hackathons like Rice University’s annual HackRice draw developers looking to pick up new skills and create applications with teammates. Many of these events are sponsored by software platform companies.

The research team conjectured that hackathon attendees are more likely to adopt a particular platform if any of the following conditions are true:

  • A high number of fellow attendees have already embraced it.
  • A fellow attendee has built an award-winning hackathon project on it.
  • The platform that sponsors the hackathon is already popular.

To test their theories, the researchers followed 1,302 software developers participating in 167 hackathons from January 2014 to May 2017. Twenty-nine different platforms sponsored the hackathons. Fang and his colleagues tracked developers’ platform choices before and after the in-person events.

The researchers found that temporary gatherings — like hackathons, conferences and trade fairs — make a difference.

Developers with greater technical expertise were more likely to use a platform widely embraced by fellow hackathon attendees. And with every 10% increase in the number of hackathon attendees already using a given platform, other attendees were 1.2% more likely to try out that platform themselves the following year.

They also found that platforms benefit from sponsoring temporary gatherings, like hackathons.

Developers who attended a hackathon sponsored by a particular platform were 20.4% more likely to adopt that platform in the following year, compared to developers who either did not attend any hackathon or attended one without a sponsor.

Part of the reason for the findings is that developers at hackathons exert social influence on each other, both during organized hackathon events like competitions and workshops, as well as informal ones including ping pong tournaments or nights playing video games.

“The social interaction and seeing their peers be successful with the tools and what’s fashionable impacts the tools they decide to adopt,” says Fang. “For developers trying to figure out what technology to adopt in a world with imperfect information and uncertainty, having a gathering can be a beacon.”

Interviews with hackathon organizers, sponsors and developers in the U.S. and Canada backed up the researchers’ findings. Interviewees shared how they learned from their interactions with fellow developers during hackathons.

“When I’m walking around, it becomes noticeable what technologies people are using,” said a veteran of 15 hackathons. Another noted that if more people use a certain application programming interface, “it’s lower risk because it will be usable.” They added, “Most people just follow others.”

The study has implications for both developers and software platform companies alike. Results suggest hackathons can be a valuable venue for developers, not only to pick up new skills, but also to help them identify which platforms to use in the first place. For software companies, the lesson is simple: Sponsoring hackathons can be good for business.

Future research could look at how other types of events like conferences, tournaments and world’s fairs might impact how people end up adopting technologies, especially emerging ones, Fang says. For example, a company like OpenAI could use these types of in-person events to garner support and build momentum for its products.

“Companies that may have taken a step back during Covid should reevaluate in-person events to get people excited and regain momentum for their platforms,” Fang says. “The take-home message is, go out there and sponsor these events.”

This article originally ran on Rice Business Wisdom. For more, see Fang, et al. “Platform diffusion at temporary gatherings: Social coordination and ecosystem emergence.” Strategic Management Journal 42.2 (2021): 233-272. https://doi.org/10.1002/smj.3230.

BrainLM is now well-trained enough to use to fine-tune a specific task and to ask questions in other studies. Photo via Getty Images

Houston researchers create AI model to tap into how brain activity relates to illness

brainiac

Houston researchers are part of a team that has created an AI model intended to understand how brain activity relates to behavior and illness.

Scientists from Baylor College of Medicine worked with peers from Yale University, University of Southern California and Idaho State University to make Brain Language Model, or BrainLM. Their research was published as a conference paper at ICLR 2024, a meeting of some of deep learning’s greatest minds.

“For a long time we’ve known that brain activity is related to a person’s behavior and to a lot of illnesses like seizures or Parkinson’s,” Dr. Chadi Abdallah, associate professor in the Menninger Department of Psychiatry and Behavioral Sciences at Baylor and co-corresponding author of the paper, says in a press release. “Functional brain imaging or functional MRIs allow us to look at brain activity throughout the brain, but we previously couldn’t fully capture the dynamic of these activities in time and space using traditional data analytical tools.

"More recently, people started using machine learning to capture the brain complexity and how it relates it to specific illnesses, but that turned out to require enrolling and fully examining thousands of patients with a particular behavior or illness, a very expensive process,” Abdallah continues.

Using 80,000 brain scans, the team was able to train their model to figure out how brain activities related to one another. Over time, this created the BrainLM brain activity foundational model. BrainLM is now well-trained enough to use to fine-tune a specific task and to ask questions in other studies.

Abdallah said that using BrainLM will cut costs significantly for scientists developing treatments for brain disorders. In clinical trials, it can cost “hundreds of millions of dollars,” he said, to enroll numerous patients and treat them over a significant time period. By using BrainLM, researchers can enroll half the subjects because the AI can select the individuals most likely to benefit.

The team found that BrainLM performed successfully in many different samples. That included predicting depression, anxiety and PTSD severity better than other machine learning tools that do not use generative AI.

“We found that BrainLM is performing very well. It is predicting brain activity in a new sample that was hidden from it during the training as well as doing well with data from new scanners and new population,” Abdallah says. “These impressive results were achieved with scans from 40,000 subjects. We are now working on considerably increasing the training dataset. The stronger the model we can build, the more we can do to assist with patient care, such as developing new treatment for mental illnesses or guiding neurosurgery for seizures or DBS.”

For those suffering from neurological and mental health disorders, BrainLM could be a key to unlocking treatments that will make a life-changing difference.

The Belfer family, led by oil tycoon Robert Belfer, had donated an additional $20 million to the Belfer Neurodegeneration Consortium. Photo via mdanderson.org

$20M donation drives neurodegeneration research in Houston

big impact

Neurodegeneration is one of the cruelest ways to age, but one recent donation is invigorating research with the goal of eradicating diseases like Alzheimer’s.

This month, Laurence Belfer announced that his family, led by oil tycoon Robert Belfer, had donated an additional $20 million to the Belfer Neurodegeneration Consortium, a multi-institutional initiative that targets the study and treatment of Alzheimer’s disease.

This latest sum brings the family’s donations to BNDC to $53.5 million over a little more than a decade. The Belfer family’s recent donation will be matched by institutional philanthropic efforts, meaning BNDC will actually be $40 million richer.

BNDC was formed in 2012 to help scientists gain stronger awareness of neurodegenerative disease biology and its potential treatments. It incorporates not only The University of Texas MD Anderson Cancer Center, but also Baylor College of Medicine, Massachusetts Institute of Technology (MIT) and Icahn School of Medicine at Mount Sinai.

It is the BNDC’s lofty objective to develop five new drugs for Alzheimer’s disease and related disorders over the next 10 years, with two treatments to demonstrate clinical efficacy.

“Our goal is ambitious, but having access to the vast clinical trial expertise at MD Anderson ensures our therapeutics can improve the lives of patients everywhere,” BNDC Executive Director Jim Ray says in a press release. “The key elements for success are in place: a powerful research model, a winning collaborative team and a robust translational pipeline, all in the right place at the right time.”

It may seem out of place that this research is happening at MD Anderson, but scientists are delving into the intersection between cancer and neurological disease through the hospital’s Cancer Neuroscience Program.

“Since the consortium was formed, we have made tremendous progress in our understanding of the molecular and genetic basis of neurodegenerative diseases and in translating those findings into effective targeted drugs and diagnostics for patients,” Ray continues. “Yet, we still have more work to do. Alzheimer's disease is already the most expensive disease in the United States. As our population continues to age, addressing quality-of-life issues and other challenges of treating and living with age-associated diseases must become a priority.”

And for the magnanimous Belfer family, it already is.

The work is "poised to revolutionize our understanding of fundamental physics," according to Rice University. Photo courtesy of Rice University

Houston physicist scores $15.5M grant for high-energy nuclear physics research

FUTURE OF PHYSICS

A team of Rice University physicists has been awarded a prestigious grant from the Department of Energy's Office of Nuclear Physics for their work in high-energy nuclear physics and research into a new state of matter.

The five-year $15.5 million grant will go towards Rice physics and astronomy professor Wei Li's discoveries focused on the Compact Muon Solenoid (CMS), a large, general-purpose particle physics detector built on the Large Hadron Collider (LHC) at CERN, a European organization for nuclear research in France and Switzerland. The work is "poised to revolutionize our understanding of fundamental physics," according to a statement from Rice.

Li's team will work to develop an ultra-fast silicon timing detector, known as the endcap timing layer (ETL), that will provide upgrades to the CMS detector. The ETl is expected to have a time resolution of 30 picoseconds per particle, which will allow for more precise time-of-flight particle identification.

The Rice team is collaborating with others from MIT, Oak Ridge National Lab, the University of Illinois Chicago and University of Kansas. Photo via Rice.edu

This will also help boost the performance of the High-Luminosity Large Hadron Collider (HL-LHC), which is scheduled to launch at CERN in 2029, allowing it to operate at about 10 times the luminosity than originally planned. The ETL also has applications for other colliders apart from the LHC, including the DOE’s electron-ion collider at the Brookhaven National Laboratory in Long Island, New York.

“The ETL will enable breakthrough science in the area of heavy ion collisions, allowing us to delve into the properties of a remarkable new state of matter called the quark-gluon plasma,” Li explained in a statement. “This, in turn, offers invaluable insights into the strong nuclear force that binds particles at the core of matter.”

The ETL is also expected to aid in other areas of physics, including the search for the Higgs particle and understanding the makeup of dark matter.

Li is joined on this work by co-principal investigator Frank Geurts and researchers Nicole Lewis and Mike Matveev from Rice. The team is collaborating with others from MIT, Oak Ridge National Lab, the University of Illinois Chicago and University of Kansas.

Last year, fellow Rice physicist Qimiao Si, a theoretical quantum physicist, earned the prestigious Vannevar Bush Faculty Fellowship grant. The five-year fellowship, with up to $3 million in funding, will go towards his work to establish an unconventional approach to create and control topological states of matter, which plays an important role in materials research and quantum computing.

Meanwhile, the DOE recently tapped three Houston universities to compete in its annual startup competition focused on "high-potential energy technologies,” including one team from Rice.

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This article originally ran on EnergyCapital.

Researchers at Baylor College of Medicine’s Human Genome Sequencing Center have trained an AI assistant to explain genetic test results to patients. Photo via Getty Images

Houston researches tap into GenAI for communicating genetic test results

hi, tech

Artificial intelligence in the health care setting has a lot of potential, and one Houston institution is looking into one particular use.

Researchers at Baylor College of Medicine’s Human Genome Sequencing Center have trained an AI assistant to explain genetic test results to patients. According to findings published in the Journal of the American Medical Informatics Association (JAMIA), the team has developed generative AI to understand and interpret genetic tests. They have also tested its accuracy against Open AI’s ChatGPT 3.5.

“We created a chatbot that can provide guidance on general pharmacogenomic testing, dosage implications, and the side effects of therapeutics, and address patient concerns,” explains first author Mullai Murugan in a press release. Murugan is director of software engineering and programming at the Human Genome Sequencing Center. “We see this tool as a superpowered assistant that can increase accessibility and help both physicians and patients answer questions about genetic test results.”

The initial chatbot training specifically targeted pharmacogenomic testing for statins, meaning a patient’s potential response to cholesterol-lowering drugs, as dictated by genetics.

Murugan explains why they decided to create their own chatbot in the key publication on statin pharmacogenomics was published in May 2022, four months after the training cutoff date for ChatGPT 3.5 in January 2022. Alternatively, her team’s technology uses Retrieval Augmented Generation (RAG) and was trained on the most recent guidelines.

How did the two AI assistants compare? Four experts on cardiology and pharmacogenomics rated both chatbots based on accuracy, relevancy, risk management, and language clarity, among other factors. Though the AI scored similarly on language clarity, Baylor’s chatbot scored 85 percent in accuracy and 81 percent in relevancy compared to ChatGPT’s 58 percent in accuracy and 62 percent in relevancy when asked questions from healthcare providers.

“We are working to fine-tune the chatbot to better respond to certain questions, and we want to get feedback from real patients,” Murugan says. “Based on this study, it is very clear that there is a lot of potential here.” Nonetheless, Murugan emphasized that there is much work still to be done before the program is ready for clinical applications. That includes training the chatbot to explain results in the language used by genetic counselors. Funds from the NIH’s All of Us Research Program helped to make the research possible.

Allowing employees to select their incentives increases both the quantity and quality of their ideas. Photo via Getty Images

Rice research: Incentives increase employee contribution to company success

houston voices

Companies can increase not only the volume but also the quality of employee suggestions and ideas by offering rewards and a choice, according to a study we published in 2022.

We conducted the study on 345 telemarketers at a call center in Taiwan, which already had a suggestion program set up to solicit creative ideas to improve the organization. The company rewarded those who suggested ideas deemed the most valuable by giving them a trophy.

We wanted to see how tweaking the reward changed the quantity and quality of suggestions. So we invited the employees to submit ideas and that if their suggestions ranked among the top 20% most creative ideas – as evaluated by a team of managers and researchers – they would receive one of four rewards: US$80 in cash for themselves, $80 to share with colleagues, $80 to give to a preferred charitable organization or priority when selecting days off. About half of the employees were offered a choice of the four rewards they would receive for submitting ideas. We then randomly assigned one of the four rewards to the remaining employees.

In total, we received and evaluated 144 ideas over a one-month period.

We found that employees who were given a choice of reward submitted 86% more ideas than those who were told what they would be getting. Moreover, the average creativity score of their ideas was 82% higher. Overall, our suggestion program elicited double the number of ideas as the company’s own program and resulted in ideas that were ranked 84% more creative.

Why it matters

Soliciting employee ideas can be a key driver of innovation in organizations.

When employees share their ideas about products, services or policies using a suggestion program, an organization can take those ideas and refine and then implement them.

These implemented ideas can enhance an organization’s ability to adapt and compete. A 2003 study of 47 organizations found that ideas submitted to employee suggestion programs saved those organizations more than $624 million in a single year.

Our own study suggests small incentives could have a significant impact on the quantity and quality of those employee suggestions.

What’s next?

Research is still needed on whether there is an optimal number of rewards that organizations should offer to get more submissions. One past study found that when employees were asked to choose from a large set of rewards, they felt overwhelmed and produced few ideas.

Future research can also test whether our results can be found in other types of organizations, with employees in other types of jobs and in other parts of the world. We plan to examine these issues in our future studies of suggestion programs.

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This article originally ran on Rice Business Wisdom and was based on research from Jing Zhou, the Mary Gibbs Jones Professor of Management and Psychology in Organizational Behavior at the Jones Graduate School of Business of Rice University.

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Houston engineers develop breakthrough device to advance spinal cord treatment

future of health

A team of Rice University engineers has developed an implantable probe over a hundred times smaller than the width of a hair that aims to help develop better treatments for spinal cord disease and injury.

Detailed in a recent study published in Cell Reports, the probe or sensor, known as spinalNET, is used to explore how neurons in the spinal cord process sensation and control movement, according to a statement from Rice. The research was supported by the National Institutes of Health, Rice, the California-based Salk Institute for Biological Studies, and the philanthropic Mary K. Chapman Foundation based in Oklahoma.

The soft and flexible sensor was used to record neuronal activity in freely moving mice with high resolution for multiple days. Historically, tracking this level of activity has been difficult for researchers because the spinal cord and its neurons move so much during normal activity, according to the team.

“We developed a tiny sensor, spinalNET, that records the electrical activity of spinal neurons as the subject performs normal activity without any restraint,” Yu Wu, a research scientist at Rice and lead author of the study said in a statement. “Being able to extract such knowledge is a first but important step to develop cures for millions of people suffering from spinal cord diseases.”

The team says that before now the spinal cord has been considered a "black box." But the device has already helped the team uncover new findings about the body's rhythmic motor patterns, which drive walking, breathing and chewing.

Lan Luan (from left), Yu Wu, and Chong Xie are working on the breakthrough device. Photo by Jeff Fitlow/Rice University

"Some (spinal neurons) are strongly correlated with leg movement, but surprisingly, a lot of neurons have no obvious correlation with movement,” Wu said in the statement. “This indicates that the spinal circuit controlling rhythmic movement is more complicated than we thought.”

The team said they hope to explore these findings further and aim to use the technology for additional medical purposes.

“In addition to scientific insight, we believe that as the technology evolves, it has great potential as a medical device for people with spinal cord neurological disorders and injury,” Lan Luan, an associate professor of electrical and computer engineering at Rice and a corresponding author on the study, added in the statement.

Rice researchers have developed several implantable, minimally invasive devices to address health and mental health issues.

In the spring, the university announced that the United States Department of Defense had awarded a four-year, $7.8 million grant to the Texas Heart Institute and a Rice team led by co-investigator Yaxin Wang to continue to break ground on a novel left ventricular assist device (LVAD) that could be an alternative to current devices that prevent heart transplantation.

That same month, the university shared news that Professor Jacob Robinson had published findings on minimally invasive bioelectronics for treating psychiatric conditions. The 9-millimeter device can deliver precise and programmable stimulation to the brain to help treat depression, obsessive-compulsive disorder and post-traumatic stress disorder.

Houston clean hydrogen startup to pilot tech with O&G co.

stay gold

Gold H2, a Houston-based producer of clean hydrogen, is teaming up with a major U.S.-based oil and gas company as the first step in launching a 12-month series of pilot projects.

The tentative agreement with the unnamed oil and gas company kicks off the availability of the startup’s Black 2 Gold microbial technology. The technology underpins the startup’s biotech process for converting crude oil into proprietary Gold Hydrogen.

The cleantech startup plans to sign up several oil and gas companies for the pilot program. Gold H2 says it’s been in discussions with companies in North America, Latin America, India, Eastern Europe and the Middle East.

The pilot program is aimed at demonstrating how Gold H2’s technology can transform old oil wells into hydrogen-generating assets. Gold H2, a spinout of Houston-based biotech company Cemvita, says the technology is capable of producing hydrogen that’s cheaper and cleaner than ever before.

“This business model will reshape the traditional oil and gas industry landscape by further accelerating the clean energy transition and creating new economic opportunities in areas that were previously dismissed as unviable,” Gold H2 says in a news release.

The start of the Black 2 Gold demonstrations follows the recent hiring of oil and gas industry veteran Prabhdeep Singh Sekhon as CEO.

“With the proliferation of AI, growth of data centers, and a national boom in industrial manufacturing underway, affordable … carbon-free energy is more paramount than ever,” says Rayyan Islam, co-founder and general partner at venture capital firm 8090 Industries, an investor in Gold H2. “We’re investing in Gold H2, as we know they’ll play a pivotal role in unleashing a new dawn for energy abundance in partnership with the oil industry.”

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This article originally ran on EnergyCapital.

3 Houston innovators to know this week

who's who

Editor's note: Every week, I introduce you to a handful of Houston innovators to know recently making headlines with news of innovative technology, investment activity, and more. This week's batch includes an e-commerce startup founder, an industrial biologist, and a cellular scientist.

Omair Tariq, co-founder and CEO of Cart.com

Omair Tariq of Cart.com joins the Houston Innovators Podcast to share his confidence in Houston as the right place to scale his unicorn. Photo via Cart.com

Houston-based Cart.com, which operates a multichannel commerce platform, has secured $105 million in debt refinancing from investment manager BlackRock.

The debt refinancing follows a recent $25 million series C extension round, bringing Cart.com’s series C total to $85 million. The scaleup’s valuation now stands at $1.2 billion, making it one of the few $1 billion-plus “unicorns” in the Houston area.

Cart.com was co-founded by CEO Omair Tariq in October 2020. Read more.

Nádia Skorupa Parachin, vice president of industrial biotechnology at Cemvita

Nádia Skorupa Parachin joined Cemvita as vice president of industrial biotechnology. Photo courtesy of Cemvita

Houston-based biotech company Cemvita recently tapped two executives to help commercialize its sustainable fuel made from carbon waste.

Nádia Skorupa Parachin came aboard as vice president of industrial biotechnology, and Phil Garcia was promoted to vice president of commercialization.

Parachin most recently oversaw several projects at Boston-based biotech company Ginkjo Bioworks. She previously co-founded Brazilian biotech startup Integra Bioprocessos. Read more.

Han Xiao, associate professor of chemistry at Rice University

The funds were awarded to Han Xiao, a chemist at Rice University.

A Rice University chemist has landed a $2 million grant from the National Institute of Health for his work that aims to reprogram the genetic code and explore the role certain cells play in causing diseases like cancer and neurological disorders.

The funds were awarded to Han Xiao, the Norman Hackerman-Welch Young Investigator, associate professor of chemistry, from the NIH's Maximizing Investigators’ Research Award (MIRA) program, which supports medically focused laboratories. Xiao will use the five-year grant to advance his work on noncanonical amino acids.

“This innovative approach could revolutionize how we understand and control cellular functions,” Xiao said in the statement. Read more.