Leveraging Generative AI for Policy Research

Leveraging Generative AI for Policy Research

Are you curious about how generative AI can revolutionize policy research?

Watch our webinar on “Leveraging Generative AI for Policy Research” to learn about the benefits of using these powerful tools from our presenters.

Here’s what we covered :

  • An introduction to generative AI and potential uses for policy research
  • An overview of multiple generative AI tools that can be used in policy research
  • Case studies of generative AI summarizing tables for policy research
  • Live demo of ChatGPT for efficient and effective data dissemination
  • Q&A session with our panel

Learn more about the latest trends and innovations in generative AI for policy research and data science.

Watch the webinar below

Collecting COVID-19 Mask Mandate Information Using Artificial Intelligence to Contextualize 2022 NAEP Results

AERA Logo 2017 FinalSmall

Optimal’s Director of Data Science, Sadaf Asrar will be presenting at the 2023 AERA Annual Meeting on April 13 – 16, 2023 . Mr. Asrar will be presenting on Collecting COVID-19 Mask Mandate Information Using Artificial Intelligence to Contextualize 2022 NAEP Results.

Below is the abstract of the presentation:

The objective of this study was to collect online information about COVID-19 mask mandates in the United States (U.S.) at the school district-level using artificial intelligence to help understand the performance results from the 2022 National Assessment of Educational Progress (NAEP), administered by the National Center for Education Statistics (NCES). To collect the data, a customized web scraping tool using the Python package BeautifulSoup was developed to automate Google searches of mask mandates in school districts in the U.S. These automated searches retrieved a pre-determined number of top search results in a tabular format. Next, Natural Language Processing (NLP) code was developed that read the search results and classified which school districts had implemented a mask mandate. This classification was achieved by developing and training a supervised machine learning algorithm using the search results data that were manually labelled by the authors. School district level mask mandate information for the state of Ohio was used to successfully pilot the tool. The algorithm trained using this data classified which school districts had implemented a mask mandate with an accuracy of 87 percent. The data predicted by the algorithm was used to verify the same data collected by NCES through monthly surveys of a sample of public schools from December 2021 – January 2022. This presentation will discuss these methods as well as some of the challenges, refinements, and successes of the tool. Ultimately, the results of the tool demonstrate that large scale data collection and validation activities can be conducted with high accuracy at a low cost and can be repeated more frequently and quickly than surveys can without incurring any additional burden on potential respondents.  

To download the PowerPoint presentation, visit: https://optimalsolutionsgroup.com/2022/07/08/optimal-researchers-to-present-on-automating-mask-mandate-google-searches/

To learn more about AERA and to register for the 2023 Annual Meeting, visit https://www.aera.net/Events-Meetings/Annual-Meeting/2023-Annual-Meeting

Optimal’s CEO Joins the Council of Graduate Schools Employer Roundtable

round table

Optimal’s Mark Turner recently joined the Council of Graduate Schools (CGS) Employer Roundtable. The CGS Employer Roundtable is a small group of senior leaders representing employers of graduate degree holders in various fields and organizations serving higher education. CGS serves to advance graduate education and research in the U.S. and globally. Dr. Turner brings the perspective of small businesses that employ graduate degree holders to the roundtable that is mostly composed of global businesses and organizations — Amazon, Corning, IBM, and TIAA. For more information, see CGS Employer Roundtable.

Optimal’s COO Offers Real World Career Optimizing Tips to UMD iSchool Graduates

University of Maryland Seal.svg  1 e1497617573513

Optimal’s executive, Tracye Turner, recently delivered career lessons learned and best practices remarks to new graduates at the 2022 spring commencement at the University of Maryland’s School of Information Studies. The fast-growing school has high job offer rates and in-demand graduates. She frequently collaborates with the iSchool, serves on the iLead Advisory Council, and was the Inaugural Chair. She shared her top 10 career lessons learned in cyclical job markets. For more information, see Spring 2022 Commencement Ceremony | University of Maryland (umd.edu)

Optimal Researchers to Present on Automating Mask Mandate Google Searches

Department of Education Logo

Optimal’s education research team will be presenting at the International Population Data Linkage Network (IPDLN) conference on September 7-9, 2022. The team will present the methodological approach developed to collect mask mandate information by automating Google searches and using NLP to classify the results by developing a customized robotic process automation program. This year’s theme for the conference includes using AI and collecting data to validate and improve official statistics.

For more information on the conference, visit https://ipdln.org/2022-conference.

Equity Indicators Project: The Nation’s “Equity Report Card”

Department of Education Logo

Authors: Ebony Walton, Statistician, NCES; Daniel Loew, Research Associate, Optimal Solutions Group; Imer Arnautovic, Research Associate, Optimal Solutions Group; and Enis Dogan, Chief Psychometrician, NCES

As is well known in education research, performance differences in achievement persist between groups of students in the U.S. and addressing them by ensuring equal access to high-quality education for all is a part of the U.S. Department of Education’s mission. This mission requires defining and measuring educational equity. The National Center for Education Statistics’ Equity Indicators Project aims to provide a solid data resource for researchers, policymakers, and the general public regarding educational equity.  A set of dozens of equity measures, which were informed by literature review, provide the framework for this data resource. Optimal Solutions Group has conducted a systematic review of survey instruments and codebooks for seven current NCES data sources as a pilot effort, resulting in a repository of over 3,000 data items relevant to the set of equity measures. Further data sources will be mined to provide a sufficient set of data items from which to measure educational equity. The authors will classify the set of equity measures into a logic model, designated with the logic model labels of inputs, processes, outputs, and outcomes. This logic model will be used to develop a theoretical model to measure and define educational equity, which will support a deeper understanding of how to evaluate it in a variety of settings. In so doing, this work will further the U.S. Department of Education’s central mission to provide equal access to a high level of quality education for all students in the United States.  

To learn more about the 2022 NCES STATS-DC Data Conference, visit https://ies.ed.gov/whatsnew/conferences/?id=15617&cid=2

Opportunity to Participate in a Telehealth Study

On behalf of the Maryland Health Care Commission (MHCC), an independent regulatory agency that works to inform health care decision-making and increase access to affordable care, NORC and Optimal Solutions Group are recruiting participants, ages 18 and up, for a study on telehealth.

» Read more

Helping Organizations Achieve Impact: Optimal Join Sponsors for UMD Social Sciences Workshop

umd logo

In October 2021, the University of Maryland, College Park will host a workshop for individuals in academia, industry, and government to discuss how academic-corporate partnerships can advance social, behavioral, and organizational science research to impact society and science.

The two-part event will kick-off with virtual session comprised of subject matter experts and partners. One goal of the workshop is to bring awareness to the opportunities that exist to collaborate within multiple disciplines of science, including behavioral and economic sciences. The workshop will also highlight social science and the opportunities that partners, and industries have to make an impact within the discipline. Most importantly, this will allow attendees and panelists the opportunity to learn and network with the community, industry representatives and researchers in social science.

Optimal Solutions Group (Optimal) will support the workshop as a sponsor for this event. Alongside Optimal joins the partners National Science Foundation, MITRE and the Consortium of Social Science Associations. Optimal’s collaboration and sponsorship with the University of Maryland, College Park schools is a relationship that has spanned almost a decade. From classroom talks to the HCIL symposium and judging competitions, Optimal and its staff have always enjoyed collaborating with the university to discuss new ideas and educational opportunities.

*********************************************************************

Optimal Solutions Group, LLC

Founded in 2000, Optimal Solutions Group, LLC, is a nonpartisan public policy research and technical assistance firm that stands out for its quantitative expertise and innovative approaches to provide rigorous, data-driven research and technical assistance to government agencies, corporations, nonprofit organizations and philanthropic foundations. Located at the University of Maryland’s Discovery District in College Park, Optimal is a leader in driving real-time public policy research. Optimal has 60+ employees, including multidisciplinary researchers with backgrounds in economics, education, health, housing, sociology, statistics, information management and entrepreneurship. Optimal has four research centers—Health, Education, Housing and Workforce Development, and Social Policy—as well as an International Practice, Analytics Group, and Entrepreneurship and Innovation Center.

1 2 3 5