Houston Independent School District launches new COVID-19 tracker

TRACKING COVID IN HISD

HISD's new dashboard will track active COVID-19 cases. Photo by Klaus Vedfelt/Getty Images

Greater Houston parents have an important date circled and marked on their calendars: October 19. That's the day Houston Independent School District welcomes students back for in-person instruction at all schools.

However, a major point of concern and contention with area parents is the possibility of fellow students contracting, carrying, and spreading COVID-19. To that end, the district has announced a new COVID-19 dashboard to keep the community informed about the impact of the pandemic. Parents can view the COVID-19 dashboard here.

The online dashboard launched Monday, September 28, to track the number of confirmed COVID-19 students and staff cases on campuses, in an effort to display transparency, according to a press release. As of September 28, some 23 active cases are reflected on the dashboard, out of more than 222,000 students and staff.

HISD's new dashboard was developed using Texas Education Agency guidelines for reporting COVID-19. It will be updated daily, allowing users to review student and staff data by location and districtwide, according to the district. The dashboard will also include a map to clearly illustrate and mark active cases throughout the district.

All applicable privacy laws relating to the release of personal health information will be followed, according to a press release.

"As we navigate this pandemic together, we want to ensure that we are transparent as we provide crucial updates," said HISD interim superintendent, Grenita Lathan, in a statement. "This new dashboard will give our staff members and families the information they need in an accessible and easy-to-use way to make informed decisions."

For more information on HISD's reopening plan, visit the official site.

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This article originally ran on CultureMap.

Even in light of community concerns, HISD is moving forward on its pursuit to receive a District of Innovation designation. Getty Images

Houston school board votes in favor of moving forward with innovation designation

moving forward

In the Houston Independent School District's board meeting on Thursday, May 14, the board of trustees voted in favor to begin a process that would designate HISD a District of Innovation.

The ruling allows HISD to begin the process of receiving the DOI designation and to join the almost 900 other Texas school districts with the designation, which would be implemented for the 2021-2022 school year.

The designation would allow for several exemptions from state law, including beginning the school year earlier than the fourth Monday in August, allowing flexibility in attendance requirements, and allowing for non-accredited teachers to conduct Career and Technical Education courses.

Before the HISD board discussed the motion and voted, they heard from community members who expressed concern with this particular accreditation matter during the meeting's call for community speakers. Due to COVID-19, the speakers wrote in their concerns, which were then read for the board.

Andrew Dewey, executive vice president of the Houston Federation of Teachers, asked the board to oppose the motion as the exemptions allowed by DOI aren't in themselves innovative, he says.

To allow for non-accredited CTE instructors, "the district would have to be exempted from the entire section of the law requiring certification," writes Dewey. "That action would open the door for future administration and school boards or board of managers to allow non-certified teachers in other content areas."

Several other community members voiced this concern over allowing non-accredited teachers, and another concern was timing of the motion. A few community members argued that now is not the time to pursue the DOI designation — and Trustee Elizabeth Santos of District I echoed that concern.

"Our students deserve better than to have something shoved down their throat when there's a pandemic, and we should be solely focusing on safety and instruction," Santos says in the meeting.

Trustee Anne Sung of District VII made a motion to push back voting on the matter to the board's June meeting, but the motion was struck down in a 3-6 vote. Moving forward, Sung called for the district to proceed with caution on the accreditation of teachers.

"I want to say publicly that in the plan I will be looking for extreme rigor in protecting certification in our teachers," Sung says in the meeting.

Now that the motion has passed, it has allowed HISD's Superintendent Grenita Lathan to push forward on the DOI designation. The district's next move is to create a planning committee and collect the community's concerns on the process.

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Houston college joins inaugural workforce accelerator supported by Google

hands-on training

Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

  • Bergen Community College in Paramus, New Jersey
  • Central Louisiana Community College in Alexandria, Louisiana
  • Clark State College in Springfield, Ohio
  • Great Basin College in Elko, Nevada
  • Heartland Community College in Normal, Illinois
  • Hudson County Community College in Jersey City, New Jersey
  • Manchester Community College in Manchester, New Hampshire
  • Mesa Community College in Mesa, Arizona
  • Mohave College in Kingman, Arizona
  • San Joaquin Delta Community College in Stockton, California
  • San Juan College in Farmington, New Mexico
  • West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.

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