This thirty minute presentation serves as a preview/orientation to the Northern California Training Academy's in-person training: Advanced Analytics for Child Welfare Administration. To learn more about the Academy and upcoming courses, please visit humanservices.ucdavis.edu/Academy

This course presents real-world examples in which quantitative methods provide a significant competitive edge that has led to a first order impact on some of today’s most important companies. We outline the competitive landscape and present the key quantitative methods that created the edge (data-mining, dynamic optimization, simulation), and discuss their impact.

How would you like to travel to new places while collaborating on a geospatial data challenge with students from around the world? In this class, students collaborate on a global-scale geospatial analysis problem with a focus on data analytics and professional practice in Geographic Information Systems. Penn State MGIS students collaborate with graduate students from ITC - University of Twente in Enschede, Netherlands to develop solutions to analyze spatio-temporal patterns in refugee migration data. Students have the opportunity to present their work and develop new connections with EU geospatial professionals via site visits to European national mapping agencies. Students work in teams to use geospatial analytics to arrive at a solution to visualize patterns over space and time.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Over the past few decades, the pharmaceutical industry has shifted its focus to areas of high unmet need Such as treating cancer and rare diseases For many of these conditions, traditional approaches to clinical trial design fall short The transition therefore calls for innovative clinical and regulatory strategies that can deliver new drugs fast Advanced digital technologies now offer unprecedented opportunities to improve drug development and, by extension, patients’ lives These include capturing patient-reported outcomes facilitating accelerated regulatory approval pathways analyzing real-world data and using intelligent analytics solutions While the tools and practices for unlocking the potential of innovation abound pharma is only in the early stages of adapting them at scale Aligning the needs of patients, providers, payers, and regulators will require biopharma organizations to adapt and evolve And leveraging digital tools, data, and analytics could help them get there Lee e.."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

This resource provides access to materials associated with the Fundamentals in Evidence-Based Decision-Making series at the Northern California Training Academy. To learn more about the series, please visit the Academy website at www.humanservices.ucdavis.edu/academy

Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of inventory control – a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for deterministic inventory control. It further discusses predictive analytics techniques for demand forecasting in inventory control and also examines prescriptive analytics models for stochastic inventory control.

This document provides learning-by-doing materials for Analytics software skill development using SAS JMP. It integrates Analytics concepts and techniques with real-world scenarios based on the COVID-19 pandemic to illustrate how real-world data can be transformed into actionable insights to offer decision support for COVID-19 related issues. A holistic treatment of the Analytics process from data acquisition and cleansing to data analysis and interpretation is emphasized using five studies:
Characterize COVID-19 mortality demographic risk factors,
Visualize COVID-19 mortality demographics,
Conduct COVID-19 mortality time series forecasting,
Predict COVID-19 mortality, and
Analyze COVID-19 vaccine acceptance, uptake, and experiences.

Each study is structured with guiding questions to engage students to think critically, relate Analytic concepts to the given situation, and arrive at their own answers/solutions for active knowledge exploration and discovery.