Workshop for Large-scale Research Data

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Storage, Analysis, and Sharing

Wednesday, May 27th | 8:30am–6:00pm | conference room 8*, Terrace level, Mt Washington campus, 6225 Smith Ave.

Speaker	Affiliation	Talk Title
Alex Szalay	Johns Hopkins University, Department of Physics and Astronomy	Large Scale Research Data
David Elbert	Johns Hopkins University Applied Physics Laboratory	Unlocking Autonomy: Event-Driven Linked Data in Programmable Cloud Laboratories and Digital Twins
Alex Baras	Johns Hopkins University School of Medicine, Department of Pathology	Digital Pathology at Johns Hopkins
Elisabeth Long	Johns Hopkins University, Sheridan Libraries and University Museums	Research Data After the Project Ends
Thomas Haine	Johns Hopkins University, Department of Earth and Planetary Sciences	Community Ocean Circulation and Earth System Modeling
Alessandra Corsi	Texas Tech University, Department of Physics and Astronomy	Radio Transients in the Era of Multi-Messenger Astronomy (MMA)
Brian Caffo	Johns Hopkins University Bloomberg School of Public Health, Department of Biostatistics	Investigating the Functioning Human Brain, Data Challenges, and Opportunities
Tom Lippincott	Johns Hopkins University, Sheridan Libraries and University Museums	Supporting a Broad Range of Specialized Humanistic Research in the Lab and Classroom
Mark Dredze	Johns Hopkins University, Human Language Technology Center of Excellence / Department of Computer Science	DSAI
Clay Reid	Allen Institute for Brain Science	Petascale to Exascale Maps of the Human Brain
Paulette Clancy	Johns Hopkins University, Department of Chemical and Biomolecular Engineering	Solar Cell Materials for Space
Ben Langmead	Johns Hopkins University, Department of Computer Science	Toward “More Is Better” in Biomedical Research
Marc Marone	Johns Hopkins University, Sheridan Libraries and University Museums	Building mmBERT, a Modern Massively Multilingual Text Encoder
Gerard Lemson	Johns Hopkins University, SciServer / Institute for Data Intensive Engineering and Science	The SciServer Science Platform and Your Data
Milan de Vries	Johns Hopkins University	Mapping the Modern Agora
Chandler May	Johns Hopkins University, Human Language Technology Center of Excellence / Department of Computer Science	MegaWika: Massive Multilingual Data & Lessons Learned
Thomas Graham	Johns Hopkins University School of Medicine	Watching Molecular Interactions in Live Cells
Tamas Budavari	Johns Hopkins University, Department of Applied Mathematics and Statistics	Data-Intensive Research at Johns Hopkins—Neurosciences Critical Care Unit
Alexey Shiklomanov	NASA Goddard Space Flight Center / Universities Space Research Association	Learning to Swim in a Data Ocean: Informatics Challenges and Opportunities in NASA’s Earth Science Division
Denis Wirtz	Johns Hopkins University, Whiting School of Engineering / Department of Chemical and Biomolecular Engineering	3D Mapping of Tissues, Tumors, and Whole Organs at Single-Cell Resolution

Join us—the Institute for Data-Intensive Engineering and Science (IDIES)—on Wednesday, May 27 for a workshop on the storage, analysis, and sharing of large-scale research data.

*This room is located on the terrace level of the building and accessible through the back of the student lounge.

This meeting builds on our 2022 Workshop for Large-Scale Scientific Research Imaging, which launched the Scientific Software Engineering Center (SSEC) in partnership with Schmidt Sciences’ Virtual Institute for Scientific Software (VISS). Speakers at that workshop emphasized that common considerations in working with scalable, big data apply across all research domains that rely on scientific imaging. In this upcoming meeting, we will follow up to explore how IDIES can help address both new and persistent challenges faced by researchers working with large-scale research data.

Workshop speakers

This workshop will features talks from the following researchers. Please see the event schedule for talk times and titles.

Alex Baras
Tamas Budavari
Brian Caffo
Paulette Clancy
Alessandra Corsi
Milan de Vries
Mark Dredze
David Elbert
Thomas Graham
Tom Haine

Ben Langmead
Gerard Lemson
Tom Lippincott
Elisabeth Long
Marc Marone
Chandler May
Clay Reid
Alex Szalay
Alexey Shiklomanov (Nasa)
Denis Wirtz

Event Details

WHY THIS WORKSHOP MATTERS The insights gathered from this event will directly inform IDIES’s planning for Johns Hopkins’ future data center infrastructure. This is intended to be a gathering of researchers from across disciplines—life sciences, STEM, humanities, and beyond—selected to represent the breadth of large-scale data use at Hopkins. Your experience and perspective will help shape the future of research computing at our institution.

FORMAT The first half of the day will be dedicated to ~15-minute presentations by invited Johns Hopkins researchers representing all areas of study. The second half of the day will be devoted to discussion sessions regarding the future of research data storage, analysis, and sharing at Johns Hopkins.

Light breakfast, lunch and cocktail fare will be provided. Please note any dietary restrictions during registration.

LOCATION The workshop will be held at 6225 Smith Ave., Tower B, Terrace-level, Lecture room 08 (through the Student lounge)

PARKING Parking passes will be available on request. Please indicate during registration if you will need a parking pass.

FOR QUESTIONS Or to inform organizers of dietary restrictions, accessibility requirements, parking needs, or other considerations, please email kstevens@jhu.edu