BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250822T115806Z
LOCATION:Room 5.0B15 & 16
DTSTART;TZID=Europe/Stockholm:20250617T123000
DTEND;TZID=Europe/Stockholm:20250617T130000
UID:submissions.pasc-conference.org_PASC25_sess130_msa272@linklings.com
SUMMARY:ODISSEI: High Performance Computing for Social Science Research
DESCRIPTION:Kasia Karpinska and Tom Emery (Erasmus University Rotterdam)\n
 \nODISSEI’s advanced scientific computing infrastructure demonstrates how 
 high-performance computing (HPC) can transform social science research. By
  leveraging a national supercomputer, ODISSEI provides social scientists w
 ith a secure, powerful HPC environment to process massive longitudinal dat
 asets and complex data linkages. Researchers can now apply complex models 
 and simulations to sensitive and high resolution data—such as large-scale 
 network analysis, agent-based modeling, and deep neural networks—thanks to
  ample memory, massive parallelism, and specialized hardware (GPUs) that a
 ccelerate computation. HPC yields significant computational efficiencies: 
 tasks that once took months can run in a matter of days, greatly accelerat
 ing the research workflow and iterative discovery. ODISSEI’s infrastructur
 e is highly scalable, accommodating the ever-growing volume and complexity
  of datasets, drawn from administrative, experimental and web sources, whi
 le maintaining performance. Equally important, this integration of cutting
 -edge computing within social science fosters interdisciplinary collaborat
 ion between researchers, data providers, and computer scientists. Notably,
  the combination of extensive, well-annotated social science datasets with
  supercomputing capabilities that ODISSEI offers is unprecedented, positio
 ning it at the forefront of data-intensive social research. In this presen
 tation I provide a number of use cases where exceptionally rich data sourc
 es have led to new, innovative, and novel research lines.\n\nDomain: Chemi
 stry and Materials, Climate, Weather, and Earth Sciences, Applied Social S
 ciences and Humanities, Engineering, Life Sciences, Physics, Computational
  Methods and Applied Mathematics\n\nSession Chairs: Irene Bonati (SURF), E
 wa Deelman (University of Southern California), and Sagar Dolas (SURF)\n\n
END:VEVENT
END:VCALENDAR
