Synchrotron radiation is an indispensable tool in macromolecular crystallography and most of the macromolecule structures deposited in the PDB are solved and refined with data collected at synchrotron sources. Some of the skills needed to make optimal use of state-of-the-art beamlines and data processing and analysis software are difficult to learn without intensive hand-on training.
The main goal of the course Rapid Data Collection and Structure Solving is to provide such an educational experience. The course has taken place since 2015 at SSRL, following the closure of NSLS at Brookhaven National Laboratory, where is was held for 16 years. RapiData 2024 will use a similar format to previous editions, with equal emphasis on the ideas and concepts behind conventional methods for diffraction-data collection, and practical experience collecting and processing data.
All students are encouraged to bring their own specimens for data collection, and to bring old data for the data-reduction and structure-solving tutorials. Students are split into several groups for the hands-on training sessions. Participants without crystals will be able to practice on samples provided by the organizers and data collected on the beamlines.
As organizers of the annual RapiData course on Synchrotron data collection and structure solution, we are strongly committed to diversity and inclusion in the selection and invitation of participants for these courses. Due consideration is given to the inclusion of qualified individuals from groups underrepresented in the sciences, including women, scientists from developing countries, and U.S. scientists from racial and ethnic populations. Moreover, we have a commitment to including participants from Latin American countries who are generally underrepresented in most crystallographic courses taught in North America and Europe.
Since we started hosting the RapiData course at SSRL, we have striven to maintain gender balance not only amongst the participants but also amongst the invited speakers. In the last few years of the course, women have represented almost 40% of the speakers and tutors at RapiData. In the five years that RapiData was run as a live course (2015-2019), 108 women and 100 men have taken the course. From 2020-2023 the course was run virtually and once again we achieved gender parity, with women having represented between 45-55% of the selected participants. We will continue to proactively strive for parity in the gender balance as we move forward with this course.
Application to RapiData 2024 is open to all scientists who wish to learn about the theoretical and practical aspects of macromolecular crystallography experiments at synchrotron sources. Because the course is typically oversubscribed, the organizers will select the participants from the applications based on the need and potential benefits to the applicants.
The application period will run from November 2023 to January 2024. Late applications might be accepted, but priority will be given to those received by the deadline. We will start inviting sucessful applicants to register and pay for the course shortly about the application deadline.
The International Union of Crystallography is funding some scholarships for Latin-American students, postdocs and junior faculty with a maximum age of 35.
Additional funding from Stanford BioX is also available to award other participants (no restrictions) on a per need basis.
Interested participants should send a letter from their PI or supervisor to Clyde Smith and Silvia Russi; the letter should explain why the scholarship should be awarded and what level of funding would be required.
The Organizing Committee of RapiData 2018 at SLAC shall observe the basic policy of non-discrimination and affirms the right and freedom of scientists to associate in international scientific activity without regard to such factors as ethnic origin, religion, citizenship, language, political stance, gender, sex or age, in accordance with the Statutes of the International Council for Science. At this course no barriers will exist which would prevent the participation of bona fide scientists.
Course dates: April 29 - May 4, 2024
Applications opens: November 2023
Application deadline: January 31
2024
Applications received after the deadline will be
placed in a stand-by list.
Silvia Russi
Bus: (650) 926-5594
Email: srussi@slac.stanford.edu
Clyde Smith
Bus: (650)
926-8544
Email: csmith@slac.stanford.edu