Model Directory Vol 09 No 04
P. K. Kannan is the Dean's Chair in Marketing Science at the Robert H. Smith School of Business at the University of Maryland. He is currently the Associate Dean for Strategic Initiatives at the Smith School. His research expertise is on marketing modeling, applying statistical, econometric, machine learning, and AI methods to marketing data. His current research stream focuses on digital marketing - mobile marketing, attribution modeling, media mix modeling, new product/service development and customer relationship management (CRM).
Model Directory Vol 09 No 04
His teaching interests include marketing modeling, digital marketing, customer relationship management, and pricing. He has taught these courses in executive programs for Black & Decker, Home Depot, ARINC, McCormick, and Northrup Grumman. He has corporate experience with Tata Engineering and Ingersoll-Rand and has consulted for companies such as Frito-Lay, Pepsi Co, Giant Food, Black and Decker, SAIC, Fannie Mae, and IBM.
Antimicrobial resistance is a major threat to human health. Since the 2000s, computational tools for predicting infectious diseases have been greatly advanced; however, efforts to develop real-time forecasting models for antimicrobial-resistant organisms (AMROs) have been absent. In this perspective, we discuss the utility of AMRO forecasting at different scales, highlight the challenges in this field, and suggest future research priorities. We also discuss challenges in scientific understanding, access to high-quality data, model calibration, and implementation and evaluation of forecasting models. We further highlight the need to initiate research on AMRO forecasting using currently available data and resources to galvanize the research community and address initial practical questions.
Human populations that hunt, butcher, and sell bushmeat (bushmeat activities) are at increased risk for zoonotic pathogen spillover. Despite associations with global epidemics of severe illnesses, such as Ebola and mpox, quantitative assessments of bushmeat activities are lacking. However, such assessments could help prioritize pandemic prevention and preparedness efforts. We used geospatial models that combined published data on bushmeat activities and ecologic and demographic drivers to map the distribution of bushmeat activities in rural regions globally. The resulting map had high predictive capacity for bushmeat activities (true skill statistic = 0.94). The model showed that mammal species richness and deforestation were principal drivers of the geographic distribution of bushmeat activities and that countries in West and Central Africa had the highest proportion of land area associated with bushmeat activities. These findings could help prioritize future surveillance of bushmeat activities and forecast emerging zoonoses at a global scale.
I had a similar issue while working with Jupyter.I was trying to copy files from one directory to another using copy function of shutil.The problem was that I had forgotten to import the package.(Silly) But instead of python giving import error, it gave this error.
Using AutoCAD to Construct a 4D Block-by-Block Model of the Erechtheion on the Akropolis at Athens, III: An interactive virtual-reality databaseVRML models and data together. (Paul Blomerus and Alexandra Lesk)
I completed my PhD at the University of Illinois (Urbana) in 1983. My research interests include marketing measurement, including applications of generalizability theory in marketing, retailing and service assessment; new product management; retailing and service management; application of choice modeling to policy issues in marketing and the cultural industries. 041b061a72