There are secrets to baking that also apply to being an entrepreneur. And five Maryland siblings are putting those secrets to work in their latest venture. The Dubbaneh brothers and sisters – Ronnie, Danny, Ronia, Johnny and Deanna – know that to be successful in baking, you have to take care in every step of the process, be patient, give it your time and attention, and love what you’re doing. It’s the same for starting a business.
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About the University of Maryland's Robert H. Smith School of Business

The Robert H. Smith School of Business is an internationally recognized leader in management education and research. One of 12 colleges and schools at the University of Maryland, College Park, the Smith School offers undergraduate, full-time and part-time MBA, executive MBA, online MBA, specialty master's, PhD and executive education programs, as well as outreach services to the corporate community. The school offers its degree, custom and certification programs in learning locations in North America and Asia.

How Internet Buzz Predicts Stock Returns

It’s clear that internet buzz and news affect stock prices – just look at the wild rides of 2021’s meme stocks like GameStop and AMC for proof. New research from Maryland Smith’s Prabhudev Konana creates a new methodology to translate just how news and internet discussions impact stock prices and simulates  trading strategy that shows to yield excess returns.

CHIDS Leads AI/ML Training Efforts in a $50M NIH Award

The Center for Health Information and Decision Systems (CHIDS) at the University of Maryland’s Robert H. Smith School of Business was selected as a key contributor in a $50 million grant from the National Institutes of Health (NIH) in a new effort to enhance diversity in artificial intelligence and machine learning research and initiatives. NIH’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program was created to get more diverse researchers and underrepresented communities involved in the development of AI/ML models to address health disparities and inequities. CHIDS will steer the AI leadership training for healthcare professionals in the Data Science Training Core of AIM-AHEAD.

A New Solution for Air Traffic Congestion

Airport congestion and bottlenecks have long been a thorn in the sides of travelers and the airline industry alike. But new research from Maryland Smith has a solution that might just be ready for takeoff.

Fu Wins Saul Gass Expository Writing Award

Maryland Smith’s Michael Fu has won the 2021 INFORMS Saul Gass Expository Writing award, becoming only the second Maryland Smith professor to earn the distinction.

Speaking to Students, Gao Outlines the Power of AI in Healthcare

When we think about AI, we don’t normally picture it evaluating telehealth calls or monitoring patients after surgery. But those are some of the ways that artificial intelligence is transforming healthcare, says Maryland Smith’s Gordon Gao.

A New Way to Read Between the Lines of Investing

When it comes to investing, predicting stock return volatility is the name of the game. Traditional methods rely on stochastic models, but more recent models have turned to text-mining techniques. Now, research from Maryland Smith is taking those new methods even further.

Decoded Session Breaks Down the Future of Business Through Blockchain

Blockchain and bitcoin often conjure images of far off billionaires and technology companies trying to profit off the “next big thing.” It’s more than that.

Maryland Smith’s Michael Fu Works to Improve Kidney Transplants With NSF Grant

Maryland Smith’s Michael Fu received a National Science Foundation grant for research to improve kidney transplants. The project combines technological advances in medical science with operations research and artificial intelligence-based approaches to dramatically improve the kidney donor-recipient matching process to lead to better outcomes for end-stage kidney disease patients.

For Business Leaders, Putting AI and ML To Work

Across business industries, leaders are interested in applying artificial intelligence and machine learning to their work, but knowing when to apply them is just half of the battle. The bigger challenge is knowing how to make sense of data and leverage it to make the right operational and strategic decisions.

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