Date limite
Les inscriptions sont terminées

CIFAL Honolulu-Supporting Pacific Island Computing Excellence (SPICE)

Type
Workshop
Emplacement
Honolulu, Hawaii, United States of America
Date
-
Durée
23 Days
Zone du programme
Decentralize Cooperation Programme
Prix
0.00 $US
Personne de référence de l'évenement
Partenariat
NSF All-SPICE Alliance
NSF All-SPICE Alliance
Chaminade University
Chaminade University
Inscription
Public – by registration
Mode de livraison
Blended
Langue (s)
English, Other
Pilier
Population
Data Protection and Privacy
The personal data of participants applying for, registering for or participating in UNITAR's training courses and other events is governed by the Data Protection and Privacy Policy. By applying for, registering for or participating in this event, the participant acknowledges that he or she is, (or they are) aware of the policy and agree to its terms.

SPICE  is a one month Summer Data Science Research Immersion, serving students from Hawai`i, the continental US and the US-affiliated Pacific Region. Students are welcomed from a wide range both computational and non-computational majors.  SPICE students code in R and Python, use NSF  HPC resources at TACC and via Jetstream, use  science gateways and develop GitHub professional portfolios.  SPICE participants represent the region’s diversity, and include significant numbers of women and veterans.  SPICE students work in thematic areas that are of central importance to the Hawaii-Pacific region including Climate Analytics,  Health Inequity and the security/societal impacts of Misinformation/Disinformation. SPICE has a strong cultural component led by Kumu Kahoali’i Keahi and culminates in a ho`ike and showcase of student projects. Places in SPICE are sponsored by the Alliance, Hawaii EPSCoR, Pacific Intelligence Innovation Initiative, NIH AIM-AHEAD and the University of Hawaii Department of Quantitative Health Sciences. SPICE mentors include faculty, analysts, and peer mentors (usually SPICE alums) who are senior students or returning graduates.

Data analysis, coding, research, presentation skills, etc 

Identifying projects, problem to investigate, data sets, group members, begin cleaning and organizing datasets; Complete cleaning and organizing datasets, exploring and analyzing dataset; Finalize project, work on presentation, and practice presentation SPICE project.                

Workshops, group work, coding practice 

Undergraduate students from the Pacific