Are you an undergraduate student who would like to gain hands-on experience in analyzing data collected from biomedical studies to help prevent and treat various diseases? Are you curious about career options and graduate degree opportunities in biostatistics and biomedical data science? If so, UCI is now accepting applications for its new Irvine Summer Institute in Biostatistics and Undergraduate Data Science (ISI-BUDS).

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On March 29, 2022, U.S. News & World Report released its annual graduate school rankings, and UCI had 11 programs place in the top 20 for public universities. Among those were the computer science and statistics graduate programs in the Donald Bren School of Information and Computer Sciences (ICS).

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Technological advancements are a major reason why the healthcare industry is a field that can constantly evolve to support the ever-changing needs of patients. One of these technologies is data science, which TY Shao believes can spur beneficial discoveries and change in healthcare.

Shao is a graduate student and program ambassador of UCI’s Master of Data Science program and plans to utilize her data science education in healthcare because the medical field “is really close to [her] heart.”

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Recently, UCI announced that researchers had developed a hybrid human-machine framework for AI systems that can complement human expertise:

From chatbots that answer tax questions to algorithms that drive autonomous vehicles and dish out medical diagnoses, artificial intelligence undergirds many aspects of daily life. Creating smarter, more accurate systems requires a hybrid human-machine approach, according to researchers at the University of California, Irvine. In a study published this month in Proceedings of the National Academy of Sciences, they present a new mathematical model that can improve performance by combining human and algorithmic predictions and confidence scores.

The seeds for this cutting-edge work by researchers in the Donald Bren School of Information and Computer Sciences (ICS) and the School of Social Sciences were first planted decades ago. This collaboration started with Padhraic Smyth, Chancellor’s Professor in the Computer Science and Statistics Departments, and Mark Steyvers, a professor in the Department of Cognitive Sciences.

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With videos now making up more than 80% of all consumer internet traffic, even the smallest improvements in compression algorithms can dramatically impact our ability to store and share information.

“It has been speculated for a long time that neural networks will ultimately revolutionize data compression technologies. Recently, such attempts have proved successful,” says Stephan Mandt, an assistant professor of computer science and statistics in UCI’s Donald Bren School of Information and Computer Sciences (ICS). Mandt has been at the forefront of this work. “Our group at UCI has been pioneering research into using neural networks to compress data.”

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Last year, in honor of Black History Month, the Donald Bren School of Information and Computer Sciences (ICS) highlighted pioneers in science and technology (see Part I and Part II of the post). This year, we’ve pulled together a list of resources, including on-campus groups here at UCI. We also list some nationwide organizations and books that focus on diversity and race in technology, as well as spotlight some Black leaders in computer science and engineering, both on and off campus.

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On Jan. 26, 2022, UCI announced seven new faculty members had been named fellows of the American Association for the Advancement of Science (AAAS) — an association that “seeks to advance science, engineering, and innovation throughout the world for the benefit of all people.” AAAS Fellows are “a distinguished cadre of scientists, engineers and innovators who have been recognized for their achievements across disciplines, from research, teaching, and technology, to administration in academia, industry and government, to excellence in communicating and interpreting science to the public.”

Among the seven new inductees at UCI are four researchers from the Donald Bren School of Information and Computer Sciences (ICS): Rina Dechter of the Department of Computer Science, Paul Dourish of the Department of Informatics, Annie Qu of the Department of Statistics, and Padhraic Smyth of both the Department of Computer Science and Department of Statistics. Congratulations to these four esteemed researchers for achieving this lifetime honor.

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Statistics Ph.D student Qi Xu’s paper, “Crowdsourcing utilizing subgroup structures of latent factor modeling,” was one of five winning papers recognized recently by the Statistical Learning and Data Science (SLDS) Section of the American Statistical Association. The SLDS hosts an annual student paper competition that is extremely competitive, this year selecting only five student papers from more than 85 submissions. As one of the award recipients, Xu’s paper will be presented at the 2022 Joint Statistical Meetings in August during a special topic-contributed session. Xu’s current research interests are latent factor modeling and deep learning, and their application in crowdsourcing and personalized medicine. His thesis advisor is Chancellor’s Professor of Statistics Annie Qu.

ICS Professors Daniel Epstein, Mohsen Imani and Tianchen Qian discuss their research and the technological developments they expect in the coming year.

The new year starts with healthcare front and center, as COVID-19 continues to impact people’s daily lives. Throughout the pandemic, the fields of computer science, informatics and statistics have all played an important role in helping people move their lives online, stay connected, and analyze vast amounts of data for informed decision making. How will these fields continue to advance virtual and augmented spaces, find new ways to bring people together, and improve healthcare analytics and interventions in the coming year?

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Women have been historically underrepresented in STEM, and that trend continues today — the Pew Research Center found that women make up 25% of computing occupations and girls make up approximately 30% of AP Computer Science test-takers. Girls and women face a number of challenges in the STEM field, which is why UCI’s Master of Data Science program aims to make STEM more accessible to underrepresented groups.

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