Research

Using AI to Battle COVID-19 (Partner: Clinton Health Access Initiative)

In partnership with the Clinton Health Access Initiative (CHAI), the Business Analytics Initiative is developing an AI (artificial intelligence) system that will investigate, collate and curate myriad data sources (e.g. government, scientific, professional, public, advocacy, as well as social media, e.g. Twitter and Google Trends) to determine the nature of COVID-19 and, most importantly, understand the best practices for preventing its expansion and re-occurrence.

Building on IBM Watson Technology to Advance Sustainability in Coatings Industry (Partner: American Coatings Association)

As part of a project originally started under the former Center for Innovation Management Studies (CIMS), the Business Analytics Initiative is working with the American Coatings Association (ACA) to develop a system that will provide current information on health and environmental studies or reported effects that may be emerging on materials of interest in the ACA members supply chains so that they can proactively guide their formulation changes.

Patterns of Digitization

The Center for Innovation Management Studies, the predecessor of the Business Analytics Initiative, developed Patterns of Digitization, a tool for assessing how global corporations and their leaders are actually implementing digital transformation.

Dominic Agnelli

Dominic Agnelli is a junior majoring in Statistics and minoring in Business Administration. The research he is doing currently, looks into using social media, specifically Twitter, to detect COVID-19 symptoms and possible COVID-19 positive cases.

Nikhil Ankolkar

Nikhil Ankolkar is a junior majoring in statistics with a music composition minor looking into how COVID-19 related twitter data can be used to classify specific COVID-19 positive tests by leveraging natural language processing.

Ana Maria Keating

Ana Maria Keating is a junior at NC State studying marketing and minoring in statistics. Her research focuses on tracking information networks through social media.

David Roycroft

David Roycroft is a senior majoring in Statistics with minors in Forensic Science and Science, Technology, and Society. David is currently researching geolocation data and location prediction through time series analysis and predictive modeling.

Nate Schaefer

Nate Schaefer is a junior at NC State majoring in business administration and minoring in statistics. His research examines foreign influence campaigns and their predictive relationships between and across social media platforms.

Landon Smith

Landon Smith is a sophomore majoring in economics with a minor in statistics. His current research involves analyzing price data among competitors of a large corporation and building a database to generate price intelligence, which will encourage more informed decisions on sales.

Iris Bennett

Iris Bennett received her Ph.D. in statistics and researched the applications of Sparse Markov Models to bot detection, and examined the spread of health misinformation on social media.

Pragna Bollam

Pragna Bollam, who graduated with a Master’s degree in Computer Science, extracted insights from real-time Mobile Marketing data with application of Machine learning models and Functional Data Analysis. She also explored research around how Amazon reviews could be useful in analyzing purchase trends and product credibility for a period of time.

Trevor Ferree

Trevor Ferree is a graduate of NC State with a degree in economics and a minor in statistics. He researched primarily focuses on social media analytics and forecasting virality of any topic. Ferree explored how healthcare workers utilize social media to express thoughts regarding COVID-19.

Sid Khullar

Sid Khullar received a master’s in analytics at NC State, and spent his time with the BAI looking into developing a framework to analyze the effectiveness and impact of artificial intelligence on business problems.

Aidan McCarthy

Aidan McCarthy majored in statistics and business administration and looked into patients with COVID-19 self-diagnosing on social media and how that data is predictive of trends in actual COVID-19 infections.

Rohan Mestri

Rohan Mestri, a master’s graduate in computer science, researched how deep learning can help us to better understand how to process and examine the informational content of images.

Gijs Overgoor

Gijs Overgoor received a Ph.D. in marketing at the University of Amsterdam. As a visiting researcher at NC State, Overgoor used AI and visual analytics to study consumers interactions with images online.

Tom Rees

Tom Rees, who received a master’s degree in analytics at NC State, researched how businesses could apply AI to data-driven projects. He was able to develop a framework that analyzes the effectiveness and impact of AI on business problems.

Anthony Weishampel

Anthony Weishampel who received a Ph.D. in Statistics applied Functional Data Analysis methods to model social media users behaviors and classify the users based on their online activity. These models have were used to detect automated and state-linked accounts, as well as to elicit other latent features of the users.

NC State AI Tool is Organization’s ’Go-to Source; for News in Covid Response

The Clinton Health Access Initiative (CHAI) has worked with partner governments around the globe to strengthen health systems and save lives. CHAI worked with the Business Analytics Initiative to develop a tool that gathers and organizes data and news articles, which the non-profit can access through a user-friendly web interface.

Patterns of Digitization – Strategic Advice for Digital Transformation

Research-Technology Management Journal (March/April 2020)