Research Skills Workshops
Essentials
R01 Spring Seminar Series
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: Research Strategy - Significance and Innovation
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: Research Strategy - Approach
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. We will address the data analysis plan and how to incorporate a biostatistician into your proposed project.
Bonus Session: The R35 Mechanism
Did you know there is a research grant mechanism at NIH that awards five-year grants for basic biomedical research and that the renewal rate of these awards is over 80%? It's the R35 Maximizing Investigator's Research Award (MIRA) program at NIGMS. 28 of our UC Davis colleagues have R35 MIRA grants and more are converting R01s into R35 MIRA every year. NIGMS has made it clear that R35 MIRA will be the primary way they fund investigator-initiated research for the foreseeable future. In this workshop, we'll discuss the eligibility requirements for applying and the best practices to put together your application.
Session 3: Preparing to Submit your R01
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.
Please Note: All sessions are hosted via Zoom.
Target Audience: UC Davis Health Faculty
For questions regarding registration or the training, please contact: hs-ucdhsfacultydevelopment@ucdavis.edu
NIH OITE: Tips for Effective Conversations
Offered by the NIH OITE. Discusses best practices for communication with mentees.
Watch the RecordingNavigating 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.
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
Advising Graduate Students Conference: Inclusion, Bias, Allyship, and Upstanding
Speaker: Pablo Reguerín - Vice Chancellor of Student Affairs. UC Davis
Session Moderator: Brad Wolf - AGS Steering Committee, Senior Academic Advisor, UC Davis Graduate Studies
Watch the Recording
Graduate Studies
Advising Graduate Students Conference: Inclusion, Bias, Allyship, and Upstanding
Speaker: Pablo Reguerín - Vice Chancellor of Student Affairs. UC Davis
Session Moderator: Brad Wolf - AGS Steering Committee, Senior Academic Advisor, UC Davis Graduate Studies
Advising Graduate Students Conference: Remote Advising in Unprecedented Times
Speakers
- Ellen Hartigan-O'Connor, Ph.D. - 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
On-Demand Modules
Process Mining: Data Science in Action
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.
Computational Thinking for Problem Solving
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.
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