Midwest Math Meetings

The Webinar Series from the Midwest Math Meetings aims to support community college and undergraduate students in the mathematical and statistical sciences by offering valuable insights into academic and professional pathways. This virtual series will include discussions on navigating graduate school applications, exploring career opportunities in various sectors, and learning from the experiences of researchers and professionals in both academia and industry. By connecting participants with mentors, experts, and peers, the series seeks to foster a supportive community that enhances access to information, guidance, and opportunities for those pursuing advanced studies and careers in the mathematical and statistical sciences.

The events in these virtual series will be based on at least one of the following categories:

• Industry and Career Navigation

An engaging session featuring representatives from the industry (i.e., pharmaceutical, biotech, and insurance companies) that will provide valuable insights into career options and pathways for students in the mathematical and statistical sciences. The speakers will discuss the diverse range of career opportunities available to graduates in industry sectors, highlighting key skills and qualifications sought by employers. Attendees will learn how to navigate the transition from school to industry, including tips for resume writing, job searching, and professional networking. This session is ideal for undergraduate students interested in exploring career paths outside of academia and gaining valuable insights into the world of industry.

• Research Opportunities and Graduate School

Discover exciting research opportunities and gain valuable insights into the graduate school application process in this informative session led by a director of graduate school or Research Experience for Undergraduates (REU) programs. The speaker will provide an overview of the various research programs available to undergraduate students, including summer research experiences, internships, and graduate school opportunities. Participants will learn about the importance of research experience for graduate school applications, strategies for identifying potential mentors, and tips for preparing a competitive application. Whether participants are considering graduate school or seeking research opportunities, this session will provide valuable guidance and resources to help navigate academic and professional journeys.

• Math Alliance Success Stories

Hear inspiring stories from Math Alliance scholars who have recently completed their doctoral degrees and are new to a job position. In this session, scholars from underrepresented populations will share their experiences with the Math Alliance and discuss how the program has supported their academic and professional development. From mentorship and networking opportunities to research collaborations and funding support, these scholars will highlight the benefits of being part of the Math Alliance community. Attendees will gain valuable insights into the resources and opportunities available through the Math Alliance and learn how they can benefit from joining this national network dedicated to supporting students in the mathematical and statistical sciences.

• Math and Stat Research Experiences

This session will provide students with valuable insights into research experiences in the mathematical and statistical sciences, showcasing opportunities at various academic and professional stages. Speakers will discuss how to engage in research, develop essential skills, and leverage research experiences to shape their career paths. Participants will gain a deeper understanding of the role research plays in academic and professional growth, along with practical guidance on securing opportunities, collaborating with mentors, and effectively presenting findings. Additionally, this session may include technical presentations, where speakers share their research work, offering attendees exposure to diverse topics and methodologies in the field.