Research Essentials

Spring Seminar Series: Writing an R01

This seminar series is designed for UC Davis Health Faculty who are preparing to write and submit their first NIH R01. You can take any or all of these workshops depending on your needs.

Session 1: R01 Research Strategy: Significance and Innovation

Wednesday, February 14, 2024, 10 a.m. – 11:30 a.m.

Introduction to writing the Significance and Innovation sections of your R01 Research Strategy. Learn to identify and highlight key gaps in knowledge that your proposal will address. Learn how to convey the significance, innovation, and impact of your proposed project, while highlighting scientific rigor.

Session 2: R01 Research Strategy: Approach – With Guest Speaker Sandy Taylor Ph.D., CTSC Biostatistics Program Manager

Wednesday, March 20, 2024, 10 a.m. – 11:30 a.m.

Introduction to key concepts, considerations, and resources for writing the Approach section, including overall strategy, background, and preliminary data. Strategies on writing Rigor and Reproducibility, Potential Pitfalls and Alternative Solutions, and a Timeline for your project. Dr. Taylor will address the data analysis plan and how to incorporate a biostatistician into your proposed project.

Register for Session 2

Session 3: Preparing to Submit Your R01 Proposal

Wednesday, April 17, 2024, 10 a.m. – 11:30 a.m.

Develop an understanding of the documents needed to submit your proposal and an introduction to the internal submission process. Learn how to develop a budget and create a timeline that will meet NIH standards and stand out to reviewers. Learn how to justify budget items for NIH grant proposals over the proposed funding period.

Register for Session 3

Register for Full Series

Please Note: All sessions will be hosted via Zoom.

Participants in the R01 Application Program mentored cohort must attend all sessions.

NIH OITE: Tips for Effective Conversations

Offered by the NIH OITE. Discusses best practices for communication with mentees.

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Navigating Conflicts for Successful Collaboration

Collaboration and team science have become an essential element of research, and yet, when working closely with others, interpersonal conflicts often create challenges that undermine successful outcomes. This interactive, small group workshop will cover strategies for faculty to handle conflicts constructively and productively for successful collaboration with each other, trainees, and students.

Workshop attendees will 1) learn to identify and work through misunderstandings and conflicts via common scenarios and 2) have the opportunity to examine their own conflict styles and explore ways to better address concerns as they emerge.

Presented by: Faculty Development


Diversity and Inclusion

National Institute of General Medical Sciences: Culturally Aware Mentorship

Sherilynn Black, Ph.D., and Angela Byars-Winston, Ph.D., describe the value of cultural awareness in mentorship. They also review highlights from the National Academies of Sciences, Engineering, and Medicine report on effective mentorship and discuss resources on culturally aware mentorship for mentors and mentees.

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Supporting Students with Disabilities in an Online Environment

Student Disability Center (SDC) faculty forum conducted for the College of Biological Sciences on March 26, 2020.

Presented by: Student Disability Center

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Advising Graduate Students Conference: Inclusion, Bias, Allyship, and Upstanding

Speaker: Dr. Pablo Reguerín - Vice Chancellor of Student Affairs. UC Davis

Session Moderator: Brad Wolf - AGS Steering Committee, Senior Academic Advisor, UC Davis Graduate Studies

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Graduate Studies

Advising Graduate Students Conference: Resilience Building

Keynote Speaker: Dr. Sharon Milgram will speak on the power of resilience-building for graduate students, but also for faculty and staff advisors as well. The session will provide strategies for navigating stressful times and emphasize the importance of community and self-care. As we prepare for another academic year of challenges, this session will promote ways our graduate education community can face adversity and promote a culture of support and wellness on campus.

Session Moderator: Elizabeth Sturdy - AGS Co-Chair, Director of Advising and Mentoring, UC Davis Graduate Studies

Advising Graduate Students Conference: Inclusion, Bias, Allyship, and Upstanding

Speaker: Dr. Pablo Reguerín - Vice Chancellor of Student Affairs. UC Davis

Session Moderator: Brad Wolf - AGS Steering Committee, Senior Academic Advisor, UC Davis Graduate Studies

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Advising Graduate Students Conference: Remote Advising in Unprecedented Times

Speakers

  • Dr. Ellen Hartigan-O'Connor - Associate Dean for Graduate Students and Postdoctoral Scholars, UC Davis Graduate Studies
  • Slande Erole - Graduate Student Assistant to the Dean of Graduate Studies and Chancellor, Political Science Ph.D. Candidate

Session Moderator: Wallace Woods - AGS Steering Committee, Senior Academic Advisor, UC Davis Graduate Studies

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COVID- 19

Supporting Yourself and Your Trainees During the Coronavirus Pandemic

Offers tips and tricks on how to manage stress and mentorship needs during Covid-19.

Presented by: NIH OITE

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COVID-19: Coping as a Community (online workshops)

Many people have questions about ways to cope with stress experienced during the COVID-19 pandemic. In response to this, the UC Davis Office of Health Equity, Diversity, and Inclusion and its collaborating partners organized a webinar series with Dr. Hendry Ton, M.D., M.S. as well as several special guests.

Presented by: UC Davis Health

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Online Modules

Process Mining: Data Science in Action (online)

Computational thinking is the process of approaching a problem in a systematic manner and creating and expressing a solution such that it can be carried out by a computer. But you don't need to be a computer scientist to think like a computer scientist! In fact, we encourage students from any field of study to take this course. Many quantitative and data-centric problems can be solved using computational thinking and an understanding of computational thinking will give you a foundation for solving problems that have real-world, social impact.

In this course, you will learn about the pillars of computational thinking, how computer scientists develop and analyze algorithms, and how solutions can be realized on a computer using the Python programming language. By the end of the course, you will be able to develop an algorithm and express it to the computer by writing a simple Python program. This course will introduce you to people from diverse professions who use computational thinking to solve problems. You will engage with a unique community of analytical thinkers and be encouraged to consider how you can make a positive social impact through computational thinking.

The course is at an introductory level with various practical assignments.

View the e-Learning course

Computational Thinking for Problem Solving (online)

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.

Participants will learn various process discovery algorithms. These can be used to automatically learn process models from raw event data. Various other process analysis techniques that use event data will be presented. Moreover, the course will provide easy-to-use software, real-life data sets, and practical skills to directly apply the theory in a variety of application domains. This course starts with an overview of approaches and technologies that use event data to support decision making and business process (re)design. Then the course focuses on process mining as a bridge between data mining and business process modeling.

The course is at an introductory level with various practical assignments.

View the e-Learning course

Maximizing Mentoring Relationships

Led by Sharon Milgram of the NIH Office of Intramural Training and Education, this workshop provides best practices in mentorship including topics such as setting expectations, stereotype threat, and imposter syndrome. Focus is on mentorship of undergraduates, however the information is relevant to all mentors.

Presented by: GradPathways Institute

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