The Rice D2K Lab wants to help startups and small businesses solve business concerns with data science. Photo courtesy of Rice University

A data-focused lab at Rice University is training the next generation of data scientists. However, the students at the Rice D2K Lab are doing more than just learning about the significance of data, machine learning, and artificial intelligence — they're working as data scientists now.

Businesses — large and small — can come into the lab and have Rice students and faculty work on data projects in both short-term and long-term capacity. One semester, a group of students worked with 311 call data for the city of Houston so that officials can figure out what parts of town were in the most need of support, says Jennifer Sanders, program administrator at the Rice D2K lab.

"They were able to show on a Houston map the areas where most of these 311 calls were coming from," Sanders tells InnovationMap. "That allowed the city to focus on those areas."

Lately, the lab has been focused on a several COVID-19 Houston Response Projects, which addressed issues ranging from homelessness in the time of a pandemic, ventilator distribution, and more. One team even made a recommendation to the city after a data project determined that adding five ambulances to southwest neighborhoods served by the Houston Fire Department Emergency Medical Services program would optimize response times.

The lab has two avenues to help businesses: a semester-long capstone course and a clinic for one-time sessions. This upcoming semester, the capstone course has 60 students signed up to work on 10 to 12 projects from corporate sponsors. These lab members — which support the program monetarily — are selected based on their fit within the program.

The D2K Consulting Clinic also offers free one-hour sessions on campus. At the clinic, students look at the data and assess the possibilities and advise on how to use that data for business gain or growth.

"The consulting clinic can be a starting point if a business is not sure what to do with their data," says Shanna Jin, communications and marketing specialist at the D2K Lab.

The clinic also presents a special opportunity for small businesses and startups, a niche Sanders says they haven't tapped into enough yet. She says most of the companies they've worked with are larger organizations, usually in the energy industry.

"We really want to broaden the scope to smaller startups, tech companies, and nonprofits," Sanders says. "We really don't have to limit ourselves. I would really love to expand our reach."

Membership dues for companies, which provides a more structured, long-term access to data consulting, range from $25,000 to $75,000 a year. However, Sanders says the lab is willing to work with startups on a cost that's more accessible.

Ultimately, the goal of the program is to connect the dots for businesses that have data and don't know how to use it.

"To realize the potential of big data, we need people — people who can transform data to knowledge," says the lab's founder, Genevera Allen, in a promotional video. "That's what we're doing with the Rice D2K Lab."

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Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

12 winners named at CERAWeek clean tech pitch competition in Houston

top teams

Twelve teams from around the country, including several from Houston, took home top honors at this year's Energy Venture Day and Pitch Competition at CERAWeek.

The fast-paced event, held March 25, put on by Rice Alliance, Houston Energy Transition Initiative and TEX-E, invited 36 industry startups and five Texas-based student teams focused on driving efficiency and advancements in the energy transition to present 3.5-minute pitches before investors and industry partners during CERAWeek's Agora program.

The competition is a qualifying event for the Startup World Cup, where teams compete for a $1 million investment prize.

PolyJoule won in the Track C competition and was named the overall winner of the pitch event. The Boston-based company will go on to compete in the Startup World Cup held this fall in San Francisco.

PolyJoule was spun out of MIT and is developing conductive polymer battery technology for energy storage.

Rice University's Resonant Thermal Systems won the second-place prize and $15,000 in the student track, known as TEX-E. The team's STREED solution converts high-salinity water into fresh water while recovering valuable minerals.

Teams from the University of Texas won first and second place in the TEX-E competition, bringing home $25,000 and $10,000, respectively. The student winners were:

Companies that pitched in the three industry tracts competed for non-monetary awards. Here are the companies named "most-promising" by the judges:

Track A | Industrial Efficiency & Decarbonization

Track B | Advanced Manufacturing, Materials, & Other Advanced Technologies

  • First: Licube, based in Houston
  • Second: ZettaJoule, based in Houston and Maryland
  • Third: Oleo

Track C | Innovations for Traditional Energy, Electricity, & the Grid

The teams at this year's Energy Venture Day have collectively raised $707 million in funding, according to Rice. They represent six countries and 12 states. See the full list of companies and investor groups that participated here.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.