Are you looking for a data scientist to work with you on your data?
Are you a data scientist looking for interesting projects?
If so, you have come to the right place. MATCHPOINT is a matching sevice provided by the Data Science Hub at SDSC. Its goal is to match Domain experts and students with Methods experts and students to create interdisciplinary working teams that can take on challenging problems in data science and analytics. Learn more about how MATCHPOINT works.
Below you'll find a list of MATCHPOINT past, current and future projects. If you are a data scientist, you can find leads to interesting projects here. If you are a PI with a data science problem, create an entry so that people can find you. To see full project details and expert contact information, and to submit new projects or student applications, you will need to create an account on this site and login.
Displaying 1 - 9 of 9 projects. Click on the column headers to sort.
|Project||Short Description||Status||Domain Expert||Domain Expert Department||Methods Expert||Methods Student Funding||Methods Student Openings||Participating Students||Last Date Updated|
|Discovering the Ocean Floor Using Data Science||This project aspires to extend ocean exploration into the data dimension by utilizing modern and historic open-access data . We will apply machine learning techniques to ocean floor imagery to explore sea floor geology, ocean sediments, sea life and more!||Active||Vicki Ferrini||Lamont-Doherty Earth Observatory||Ilkay Altintas||1.00||2018-10-15|
|Predictive model of campus foot traffic||We collect foot traffic data from phones in an area with our sensors. we make a predictive foot traffic model for the area using past data and elements that impact such as weather, day of the week, local events. Sensors are installed in Geisel and Biomed Library, RIMAC and Main Gym, and other locations.||Active||Nicholas Halverson||None||Peter Gerstoft||no||
|Machine learning for ocean sound sources and environment||Using underwater sound pressure from active and passive sources to train machine learning models for various applications.||Active||Emma Ozanich||Scripps Institution of Oceanography||Peter Gerstoft||no||2.00||2018-01-18|
|Histology Browser||A web portal for viewing and annotating stacks of histology images.||Active||David Kleinfeld||Physics||Yoav Freund||yes||0.50||2017-11-07|
|Whale classification from echo-localtion clicks.||Develop a classifier of whale species using underwater recording of echo-location clicks||Active||John Hildebrand||Scripps Institution of Oceanography||Yoav Freund||
|Online medical crowdfunding: Correlates of funding success||Exploring the phenomenon of web-based crowdfunding for medical treatment.||Active||Cinnamon Bloss||Department of Psychiatry, School of Medicine||2017-05-15|
|Clinical NLP and Medical Note Analysis||Clinical Natural Language Processing (cNLP) to large corpora of medical notes.||Active||Chun-Nan Hsu||Biomedical Informatics||Julian McAuley||no||2017-04-06|
|Global Bathymetry: Machine Learning for Data Editing||Develop a machine learning algorithm to edit seafloor bathymetry soundings.||Archived||David Sandwell||Scripps Institution of Oceanography||Yoav Freund||yes||
|Honey Bee Waggle Dance||Automate the analysis of videos capturing the honey bee waggle dances.||Archived||James Nieh||Behavioral Ecology||Yoav Freund||no||2017-04-06|