Agenda Page

Agenda

Show All
The Power of the Current
Sailing Together
Anchored in Belonging
Foundations Beneath the Surface
Riding the AI Wave
Panel
8:15 am - 9:00 am
Opening with Interim Executive Vice President and Provost Tracy Langkilde
9:00 am - 9:05 am Break
9:05 am - 9:55 am
Measuring Key Performance Metrics: The Performance Summary Dashboard.
This presentation, aimed at institutional researchers, data analysts, and decision-makers, will showcase the World Campus Performance Summary Dashboard, a dashboard that serves as a one-stop shop to help the organization know how we are doing against benchmarks, projections, and targets. Ashton Webb and Alex Mura will discuss the motivation behind the dashboard's creation, the data sources, and the process of importing curated data into Power BI. The session will walk through the dashboard's three key pages: Prospect to Applicant Conversion, Applicant to Student Conversion, and Headcount and Full-Time Equivalent (FTE). The Headcount and FTE page indicates how World Campus supports enrollment through student support efforts by comparing actual headcount and FTEs to projections. The other two pages highlight how World Campus supports Penn State enrollment through applicant recruitment efforts and track the conversion of applicants to enrolled students compared to targets. Participants will gain practical knowledge on leveraging data to support strategic decision-making and measuring progress toward key performance metrics within their unit.
Speaker : Ashton Webb & Alex Mura
Collaborative Synergy: Data Analysts, Business Analysts, and SQL Developers in Building Power BI Report
"In today's data-driven world, the collaboration between data analysts, business analysts, and SQL developers is crucial for creating insightful and actionable Power BI reports. Creation of useful reports requires a collaborative effort across business roles. This presentation explores the dynamic collaborative effort of a team including data analyst, business analyst, and developer. Each of these roles contribute expertise in transforming a large dataset into a viewable report that is driving business decisions. The data from this report is being used to assist in transformation of the pre-award process at Penn State. The intended audience for this presentation are data analysts, business analysts, and developers. Attendees will gain a deeper understanding of how to leverage the unique skills of the team to enhance the effectiveness and efficiency of report-building processes. Questions answered include:
  • How did the data analyst focused on the modeling, visualization, and presentation of the data?
  • How did the business analyst translate the business needs to actionable tasks and ensure that all questions needed to be answered by report were covered?
  • How the developer queried data, preprocessed data, and delivered information to be used?
  • Communication and collaboration between members of the team to ensure accuracy of data
Speaker : Marc Burns, Paulina Krys & Jennifer Miller
Guiding Principles for Data
In 2019, then-CIO Bill Wrobleski introduced a set of "technical principles" intended to guide Penn State in IT-related efforts. Last year, the IT Strategy & Planning team and other Penn State data professionals proposed to expand on the technical principles with a set of related "data principles."
In this session, we will present the working version of those principles, with the hope that attendees will take them back to their teams and provide input and ideas for their improvement and eventual adoption.
Speaker : Michael Cooper & Rich Cropp
Preparing Information for Large Language Models and AI Tools in Higher Education
In the rapidly evolving landscape of higher education, the integration of artificial intelligence (AI) and large language models (LLMs) presents a transformative opportunity to enhance data-driven decision-making and improve operational efficiency. This session will delve into the critical steps and best practices for preparing institutional data for consumption by LLMs and AI tools, ensuring that the information is accurate, relevant, and actionable. Attendees will gain insights into the importance of data quality, structure, and governance in the context of AI applications. By attending this session, participants will gain practical insights into optimizing their institution's information architecture to support efficient data crawling and analysis.
Speaker : Gretchen Paules
Balancing Democratization with Security
Facilitator : Arianne Waddington Panel : Sandy Sollenberger, Jodi Harris & Brady Hess
9:55 am - 10:05 am Break
10:05 am - 10:55 am
OPAIR's Institutional Data Offerings: What’s New and What is Coming
Audience: All in attendance of the Data Summit who are interested in learning about the data offerings of OPAIR. Abstract: This year, we’ve made significant strides in enhancing our data capabilities. Key achievements include the development of additional IDR datasets, iTwo and data training programs, documentation built out in RADAR, and the launch of new dashboards to aid in decision-making. This session will provide an opportunity to virtually meet the Vice Provost for Planning, Assessment, and Institutional Research and each of the Directors in our Institutional Reporting Division (Data Engineering, Data Modeling, Data Science and Analytics, and Institutional Reporting) to explore the latest advancements introduced this year. The session will conclude with a discussion outlining our vision for the future.
Speaker : Lance Kennedy-Phillips, Carly Sunseri, Kim Marchek, Frank Kachurak & Katarina Durasova
Social Readiness Level and Natural Language Processing: tools for Measurement and Management of Societal Acceptance of Nuclear Energy
This study analyzes the relationship between societal readiness for nuclear energy and market performance, using socio-economic and financial data from sources like CRSP and the U.S. Energy Information Administration. The research period (1989-2023) spans significant global nuclear events, such as the Chernobyl and Fukushima disasters. The study employs sentiment analysis based on news data from Google and Lexis Nexis, processed with Natural Language Processing (NLP) tools, including TextBlob, to assess public sentiment toward nuclear energy. Additionally, Sociotechnical Readiness Levels (SRL) are calculated, reflecting public trust and readiness to accept nuclear energy. AI/ML techniques like NLP and sentiment analysis allow for the extraction and processing of large-scale textual data, providing insights into evolving public attitudes, which are linked to market capitalization and investment returns in the nuclear energy sector. Social network analysis further helps identify opinion leaders and community dynamics affecting public sentiment.
Speaker : Nonna Sorokina
Insights for Dummies: Data Tools and Solutions for Non-Technical Audiences
This presentation targets business users without dedicated IT support and non-technical IT staff, focusing on addressing their challenges in data aggregation, reporting, and dashboard creation. It will explore the limitations of Excel and the complexities faced by users transitioning to Microsoft’s low-code/no-code solutions. The session aims to highlight the institutional need for data-driven decision-making without relying on technical staff, and demonstrate a workflow developed by EP&I for creating scalable reporting and dashboard solutions. Topics covered include business needs, the EP&I process, and available resources such as templates and examples. By the end of the session, attendees will understand how to leverage Microsoft tools to build solutions independently or with EP&I support, empowering them to meet future business data needs.
Speaker : Joshua Gleim
Leveraging private LLMs and Webcontainers to prototype Penn State Websites
This presentation explores how emerging technologies like AI and Webcontainers can be harnessed to develop dynamic, modern websites with a Penn State theme. By combining the versatility of AI-driven tools with the seamless deployment capabilities of Webcontainers, we’ll demonstrate how these technologies enable efficient, scalable, and interactive web development. The session will include practical examples and actionable insights for creating a site that reflects Penn State's unique identity while leveraging cutting-edge technologies.

The primary audience includes Penn State faculty, staff, and developers involved in web development, digital innovation, or IT support, as well as educational technologists exploring AI-powered tools for campus-related projects.

Objectives
Educate the audience about AI and Webcontainers and their potential in web development. Demonstrate how these tools can be used to create a Penn State-themed site. Provide actionable strategies for integrating these technologies into existing workflows.

Expected Outcomes
After attending the presentation, the audience will: Understand the role of AI and Webcontainers in modern web development. Be equipped with practical knowledge to create and deploy a Penn State-themed site. Gain insights into maintaining scalability and branding in web projects. Have actionable ideas for integrating these technologies into their workflows.
Speaker : David Fusco & Bryan Ollendyke
Ethics of DEIB Data
Facilitator : Stefanie Austin Panel : Jennifer Wu, Julie Heaton & Lynette Yargerto
10:55 am - 11:05 am Break
11:05 am - 11:55 am
Healthy Competition: Using Data to Understand Competitor Trends
This presentation will provide an overview of how the Penn State Enrollment Management Office is using third party data to understand our competitors in the higher education admissions landscape and how this data is being used to inform market position strategies. Topics discussed will be:
A brief overview of the National Student Clearinghouse (NSC) as a third party data source – what it is and how the data is submitted and retrieved. Penn State data wrangling and combining with external data. The “old way” of presenting this data – unit submits a request and reporting team fulfills via manual report using tables/charts.
The “new way” of presenting this data – dashboard development project and how this option provides all units an interactive resource with multiple layers of analysis. Will discuss business requirements, data preparation, building and publishing the dashboard, socializing dashboard availability to users.
A use case – regional competition from Temple University on aid packaging.
Putting the data to work – how Enrollment Management is using the data to inform market position strategies.
The next iteration – understanding where students who leave Penn State transfer to.
The intended audiences will be Data analysts and unit leaders interested in understanding how competitor analysis can help provide strategic insights. The intended outcome for attendees will be to a) inform them how 3rd party data in general can assist with their work and b) socialize the availability of this data among the Penn State community as a resource.
Speaker : Ryan Brady, Guoyang Lin & Haiou Hu


Finding Hidden Dimensions in Research Impacts: The Clinical and Translational Science Institute Pilot Seed Funding Dashboard
Small incremental changes can be just as important as big discoveries. This presentation reviews the Clinical and Translational Science Institute’s (CTSI) effort to reconstruct historical pilot seed funding datasets, track faculty scholar impacts and ROI, and ultimately share a Power BI dashboard that supports the community of translational scientists and clinicians at Penn State. Methodical changes to reporting and outreach resulted in an ROI discovery that was 70% higher than previously anticipated. Additionally, developing high-context datasets for our pilot applicants and awardees positions CTSI to contribute to faculty development and support, identifying impact factors that can be predictive of external grant capture: publication network, clinical trial experience, patents, and policy impacts. Processes for extracting these inputs from SIMS, PURE, and Dimensions are also reviewed with an eye toward blending these sources of information. Challenges and operational bottlenecks to automating the data collection are discussed, with possible solutions outlined. Moving forward, CTSI looks to partner with other research-focused teams at Penn State to build predictive models to best support faculty success.
Speaker : Alyson Eggleston
Identifying Equity Gaps at World Campus with the Population Index
Population Index is a method developed to identify and address equity gaps in student retention for World Campus students. Unlike traditional methods, the Population Index reports on student group proportions, providing a clearer view of representation and helping institutions allocate resources effectively to promote equitable outcomes. This presentation will cover the need for the Population Index at Penn State World Campus, its origins, and its application in retention reporting through a World Campus Power BI dashboard. It will include a walk-through of the formula used to calculate the Population Index score, examples of its use, and its limitations. Additionally, the process of introducing and integrating the Population Index within the organization will be discussed, along with future strategic plans. Attendees will gain an understanding of the Population Index and its significance in retention reporting. The presentation is aimed at Institutional Researchers, Higher Education Administrators, and Data Analysts.
Speaker : Nadia Richardson & Ashton Webb
Introducing OPAIR-RADAR - Your Gateway to OPAIR Curated Data
This presentation, Introducing OPAIR-RADAR - Your Gateway to OPAIR Curated Data, aims to familiarize attendees with the RADAR SharePoint site, a tool designed to help users locate and access dashboards, reports, and resources for university analysts to create their own queries and dashboards. Attendees will learn about RADAR's features through a live demonstration, understand the data highlighted by the site, and gain confidence in navigating the site to meet their data needs.
Speaker : Mary Boyadzhiev
The bits and bytes of Machine Learning: Using Azure Machine Learning with the IDR
After attending the presentation, Data Analysts and Data Scientists will have a better understanding of how Azure Machine Learning can enhance and optimize their work. IT professionals will have a better understanding of the steps to create an AML environment and how to connect IDR data to it.

Audience: Data Scientists and Data Analysts who want to learn about the features and functions available in Azure Machine Learning including how to connect data from the IDR and options for building models; IT Support Professionals who are responsible for working with their customers to build AML environments and data connections

Needs: Pairing the data in OPAIR’s IDR with the power of Azure Machine Learning can help data scientists and data analysts gain valuable insight into the data offered in an efficient and optimized manner.
Speaker : Carly Sunseri & Frank Kachurak
Leveraging AI To Streamline Or Enhance Analytics
Facilitator : Aaron Tippett Panel : Elizabeth Seidle, Michael Zeman & Eliza Bradley
11:55 am - 12:00 pm Closing

Note : The Highlighted session are of 25 minutes only

Show All
The Power of the Current
Sailing Together
Foundations Beneath the Surface
Riding the AI Wave
Panel
8:15 am - 9:00 am
Opening with President for Information Technology and Chief Information Officer David Horton
9:00 am - 9:05 am Break
9:05 am - 9:55 am
Two sides of one coin - why visualizing failure is as important as visualizing the success and how we are using data to tell the full story.
Abstract: In the realm of data analytics, success stories often dominate the narrative. However, understanding and visualizing failures is equally crucial for a comprehensive analysis. This presentation will delve into the importance of visualizing both successes and failures, demonstrating how each contributes to a holistic understanding of data. By leveraging data visualization techniques, we can uncover hidden patterns, learn from past, and look into the future to drive more informed decision-making processes. This session will showcase practical examples and methodologies that highlight the value of a balanced approach to data storytelling.

Target Audience: Researchers, data analysts, data scientists, and professionals involved in data-driven decision-making processes who are interested in enhancing their understanding of data visualization and storytelling.
Speaker : Paulina Krys & Ashley Stauffer


SIMBA Financial Reporting: Using Business Objects to Monitor and Inform Financial Decision Making
Understanding object-based reporting in SIMBA is crucial for promoting prudent financial practices. Anyone responsible for monitoring or managing general fund accounts in SIMBA should be familiar with the available tools to make informed financial decisions.

In our presentation, we will explain what Business Objects (BOBJ) is, how to use it, and how to create a simple report that can be automatically scheduled and sent to stakeholders. Our goal is to create a straightforward report that monitors the general fund by examining fund centers, funded programs, and GL accounts.

We aim to boost attendees' confidence in using the BOBJ tool and to encourage the use of innovative financial reporting tools within SIMBA/SAP. Recognizing that transferring data between systems may not be everyone's expertise, this solution offers an on-premises tool directly connected to the source data.
Speaker : Jeff Popadines & Shelly Ormsby
The IDR For IT Professionals
Audience: IT Professionals who support customers connecting to the IDR; Anyone who would like a technological insight into the technology we ue for the IDR

Needs: Better understanding of the technology used to power the IDR, better understanding on the methods used to connect, and how to offer technical support to customers in setting up and troubleshooting connections.

Needs: The IDR is one of OPAIR's flagship offerings, and utilizes some of Microsoft's newest cloud and on-premise technologies. Our goal is for attendees gain a better understanding of the technology on which the IDR is built, how to assist their clients and customers to connect to the IDR, and how to offer basic connection troubleshooting for the clients that they support.

Main points:
  1. Overview of what the IDR is
  2. Overview of the technology on which the IDR is built (MS SQL on premise DBs, Azure ARC Connectors, Azure Authentication, IdentityIQ Workflows for access)
  3. Connection Methods: (a) Direct connect through Azure Data Studio; (b) Direct connect through SSMS; (c) ODBC driver for MS Access; (d) General information for Azure offerings (e.g. Machine Learning)
  4. Basic troubleshooting steps when setting up a connection, basic troubleshooting steps for existing connections
  5. Time for audience questions

Expected outcomes: "After attending this presentation, IT Professionals will have a better understanding of what the IDR is, the technology that powers it, and how to offer local-level service and support for customers wishing to access data in the IDR"
Speaker : Frank Kachurak
Bridging the Gap: Identifying Key Factors and Strategies to Close Graduation Disparities Among Senior Students
This presentation highlights key findings from a Graduation Gap Analysis of senior students, focusing on factors influencing graduation rates and addressing disparities among ethnic groups. Targeted at university administrators, educators, and policymakers, it aims to inform strategies for promoting equity and student success.
The study analyzed 114,000 student records spanning 10 years, utilizing machine learning models and statistical methods to identify critical academic predictors, such as DFW ratios (D, F, and withdrawal grades), performance indices, and workload indicators. Demographic analysis revealed disparities among ethnic groups, with Underrepresented Minority (URM) students showing higher DFW ratios and a greater representation in low-performance groups compared to White (WHT) students. Change point analysis identified critical intervention stages for students at academic risk, offering a framework for timely and effective support.
The presentation will cover graduation trends by ethnicity, academic predictors of success, performance disparities, and practical intervention strategies. Attendees will gain actionable insights to address gaps in graduation outcomes and enhance support for diverse student populations, including adult learners.
Speaker : Xianzeng Niu & Yuanhong Zhu


Coloring inside the GenAI lines with the PSU AI Guidelines
Generative AI is transforming workplace and educational technology, yet Penn State faculty and staff may feel uncertain about adopting these tools. This presentation targets university employees who are navigating the complex landscape of AI adoption. This presentation should:
- Demystify Penn State's AI Guidelines, providing clear, actionable guidance for responsible AI use
- Explain our AI risk assessment process to IT evaluates new AI features prior to rollout
- Offer practical strategies for leveraging AI tools while maintaining institutional integrity and data security
By the end of this session, attendees will be equipped to make informed decisions about AI tool usage, understanding both the opportunities and safeguards in place at Penn State.
Speaker : David Gindhart & Gretchen Paules
9:55 am - 10:05 am Break
10:05 am - 10:55 am
Leveraging Data to Support First-Year Student Success
Data-informed decision-making is often an elusive part of data literacy, requiring individuals to recognize the need for data, know where to get the data, understand and trust the data, and be able to translate that data into insight. This presentation is meant to help both data analytics professionals and student support staff identify and use the data available at Penn State to support students during their first year of enrollment.

The session will include a brief presentation to illustrate insights that can be drawn from data available at Penn State, followed by deep-dive examples of using the data to support student success from practitioners.

The presentation will cover the following topics:
  1. Overview of Penn State data that can be used to support students in their first year.
  2. Overview of the baseline considerations needed for responsible interpretation and use of analytics, including ethical considerations, in support of student success.
  3. Pre-entry assessment – educational planning survey as a leading indicator of support needs. Utilize the Educational Planning Survey data to connect students to the support they need proactively. This portion of the presentation will include a brief introduction to the data and an example of how this data has been used to target support.
  4. Persisting during the first year - first-year seminar course as a leading indicator. Utilize first-year seminar course outcomes from the Starfish Analytics platform to demonstrate students who do not earn a successful grade are less likely to be retained. This portion of the presentation will include a brief introduction to the data and an example of how this data has been used to target support.
  5. Progression during the first year – programs supporting students with historically lower outcomes. Utilize the Starfish Analytics models to identify retention predictors. This portion of the presentation will include a brief introduction to the data and an example of how this data has been used to target support.
  6. Supporting students in their second year and beyond. Utilize the Starfish Analytics watchlist to identify students (in their second year and beyond) in need of additional support. This portion of the presentation is meant to bring
Speaker : Jodi Harris & Janet Schulenberg


Analyzing the Role of High-Impact Practices in Enhancing Student Success
Primary Audience:
The primary audience includes analysts interested in the methodology and employees who work directly with students who are interested in the study's results.

Objectives:
This presentation will focus on the study done to analyze the effect of participation in High-Impact Practices (HIPs) on graduation rates and GPA.
It will highlight differences between HIP participants and non-participants and provide insights into demographic trends and disparities in HIP participation and outcomes.
The goal of the presentation is to provide information on what data was analyzed during the study and present the results of the study.
Speaker : Aaron Tippett & Humaira Rahman


Introduction to the New iTwo Data Visualization Tools
The presentation provides a general introduction to the new iTwo Data Visualization interface and tools. It is tailored to all new and old iTwo users with varied levels of experience, and for those with an interest in the new system. The main objective is to address the question, ‘Why should a user choose the Data Visualization interface over the Classic interface?’

We will cover:
- An overview of the iTwo Data Visualization (DV) interface
- How to create a workbook
- The wide range of visual elements offered by iTwo Data Visualization (DV)
- How to create multiple visualizations on a single workbook canvas
- Additional features such as conditional formatting

The main goal is to improve users' confidence in utilizing the newly released iTwo Data Visualization Interface.
Speaker : Jeff Molek, Vani Gogulamudi & Amanda Innocent-Ike


Beyond a report: How we built an enrollment calculator to maneuver the unknown
Penn State employs many units across the University with a focus or dedication to student analytics and reporting. Regardless of campus affiliations and unit affiliations, approaches to analytics too often default to only include post-hoc reporting; it is then up to the consumers of these reports to integrate insights into operations. There are many ways to make reports, analytics, and dashboards more applied and action-oriented without necessarily needing sophisticated programming and machine learning. Sometimes there are opportunities to take what seems to be a one-off research question and deliver findings in an interactive and practical way. This presentation will discuss a case study of how the Data Empowered Learning Team collaborated with the Office of the University Registrar to create a useful and novel tool for estimating total course enrollments of first year students given unknowns about the upcoming cohort size. The initial ‘ask’ was simply to provide an estimate for most impacted courses based on a single estimate of the incoming first year cohort. The solution was a look beyond a static report, to understand the underlying needs driving the ‘ask’, and create an interactive and functional tool with adaptability and nimbleness during a period with a lot of unknowns. We will talk through the enrollment calculator project, the approach, the design, and how it has been useful in practice. We will also talk more generally about how approaching research questions with curiosity can tweak perspective towards a more operationalizable deliverable. Participants will hear about the enrollment calculator case study, gleaning tips and strategies for bridging reporting with integration into an action-oriented context for consumers.
Speaker : Elizabeth Seidle & Tryphena Miska
Penn State’s Collective Impact: A Journey Through Data and Collaboration
This presentation is designed for employees, administrators, data analysts, and programmers interested in exploring a University-wide project that showcases Penn State’s initiatives and programs and their collective impact on the Commonwealth of Pennsylvania. We will discuss the business need driving this project, the collaborative process employed, and the ArcGIS tools utilized for data collection and the creation of the production map. Attendees will gain insights into the project's objectives, the tools used for data collection and map delivery, and the teamwork that enabled the completion of a final product within 12 months.
Speaker : Steve Chichester, Grant Davis & Rachel Heverly
Data-Informed Strategic Planning
Facilitator : Michael Rosenberg Panel : Gretchen Paules, Neill Johnson & Alison Parker
10:55 am - 11:05 am Break
11:05 am - 11:30 am
Harnessing Data for Strategic Enrollment Goal Setting: The Evolution of World Campus Projections
This presentation will explore the development and impact of enrollment projections for World Campus, focusing on student categorization and target setting. The World Campus enrollment model incorporates admissions data, retention trends, and internal initiatives to predict future student headcount and establish goals. This session will demonstrate a nuanced approach to creating and adjusting a model based on students’ pathways to enrollment and categorization into meaningful types such as new degree applicants, continuing, and re-enrolled students. It will also provide an overview of the annual cycle for updating enrollment goals and tracking performance against targets and projections. Aimed at data professionals, unit leaders, and anyone interested in World Campus student data, this session will offer valuable insights into how data modeling can shape strategic planning and enhance enrollment management.
Speaker : Julie Cross
Simple Dashboard Creation in iTwo Workbooks
The presentation offers a brief overview of simple dashboard creation in the newly released iTwo Workbooks. It is designed for intermediate to advanced iTwo users, as well as those interested in exploring the new iTwo dashboarding functionality. We will highlight the ease of use and reduced complexity of creating dashboard-style analyses (Workbooks) compared to the previous version of the iTwo environment. Users will have the opportunity to learn about iTwo Workbooks, advanced filters, parameters, and visualizations. The main goal is to boost users' confidence in creating dashboards within iTwo Workbooks.
Speaker : Jeff Molek, Vani Gogulamudi & Amanda Innocent-Ike
Ukrainians Resilience
Target Audience:
This presentation is designed for mental health professionals, social workers, community leaders, and policymakers working with displaced populations, particularly Ukrainian migrants. It will also benefit organizations supporting immigrants and those interested in trauma recovery, resilience-building, and acculturation processes. Audience Needs and Challenges:
The audience faces the challenge of addressing the unique mental health and psychosocial needs of Ukrainian refugees, who often experience trauma, and acculturation stress. Many professionals seek evidence-based approaches and practical tools to support this population effectively.
Objectives:
  • To provide an overview of the psychosocial challenges faced by Ukrainian migrants in the U.S.
  • To share findings from a three-stage study exploring trauma, resilience, and acculturation.
  • To introduce a DBT-based psychosocial intervention designed to address trauma, foster resilience, and mitigate acculturation stress.
  • To offer actionable strategies and tools for practitioners working with refugee populations.

Main Points:
  • The impact of displacement on Ukrainian refugees: key findings from surveys and interviews.
  • The role of resilience in navigating trauma and acculturation stress.
  • Insights from implementing a DBT-based psychosocial intervention: methods, outcomes, and lessons learned.
  • Practical recommendations for supporting Ukrainian migrants and other displaced communities.

After attending this presentation, participants will:
  • Gain a deeper understanding of the challenges faced by Ukrainian refugees.
  • Learn evidence-based strategies to support trauma recovery and resilience-building.
  • Acquire tools for fostering acculturation and well-being in displaced populations.
  • Be better equipped to create supportive environments for refugees within their communities and organizations.
Speaker : Yaryna Andrushko
Beneath the Surveys: Automating Infrastructure for Annual AC14 Evaluations
Managing the annual AC14 evaluation of academic administrators is a monumental task, involving upwards of 100 unique survey instruments each year. In this session, I will provide a brief overview of this project, including innovations that have been implemented along the way to streamline the AC14 process.

Key enhancements have included the integration of Python automations with the Qualtrics API to handle survey creation and data collection, as well as the development of R scripts for more efficient data wrangling and report generation. Attendees will gain insights into how our team has tackled the challenges of scale and complexity in survey-based assessments, and how automation can improve both efficiency and accuracy.

This session is ideal for those interested in large-scale evaluations or seeking practical approaches to integrating automation tools into their workflows.
Speaker: Jessica Myers
Enhancing Access Through AI: A Chatbot for the Results First Clearinghouse Database
When data is inaccessible, its potential impact is diminished. The Results First Clearinghouse Database, hosted by the Prevention Research Center at Penn State University, provides comprehensive information on over 4,000 prevention and intervention programs. To maximize the utility of this resource, we developed an AI-powered chatbot that enables researchers and policymakers to interact conversationally with the database. By simplifying access to evidence-based information, the chatbot aims to support data-informed decision-making. This presentation is tailored for practitioners interested in leveraging machine learning to enhance data accessibility and usability. We will share insights into the development process of the chatbot, including the design, capabilities, and current limitations. We will also explore challenges such as integrating AI into existing data infrastructure and maintaining user trust and discuss solutions. Our primary objective is to inspire collaboration and innovation in using AI to address data accessibility barriers. By engaging participants in a dialogue on the possibilities and challenges of AI-driven tools, we aim to spark ideas for enhancing similar initiatives across the institution, provide actionable insights, and expand the network of collaborators leveraging AI to enhance the impact of evidence-based research.
Speaker : Jonathan Wright & Alex Winters
11:30 am - 11:35 am Break
11:35 am - 12:00 pm Closing Announcements