Events

Upcoming Events

Open ML Workshop

Deep Learning Competition: Image Classification

July 25, 2018 (5-9 p.m.)
Location: 5575 Morehouse Drive, San Diego, California

HDSI is proud to endorse Qualcomm's Machine Learning Competition taking place on July 25th! 

During the event, you'll learn how to build and deploy an image classifier in the real world. This is a great opportunity to strengthen your machine learning skills, where you will learn about ways to solve problems such as data generalization and augmentation. You'll also be able to team up with other students to build the best model and possibly win prizes.

Prerequisites: Participants should be familiar enough with Python to install libraries and run code. Participants should also have taken an online ML course or trained a model before.

More Information and Registration

SeedMe Workshop

Collaborative Data Sharing Infrastructure for Researchers

Aug. 24, 2018 (9 a.m. - 5 p.m.)
Location: San Diego Supercomputer Center

SeedMe workshop will provide a hands on experience to create and use data sharing infrastructure for research purpose. The workshop will introduce the SeedMe platform that provides powerful data organization and data sharing tools. The platform supports extensive customization and rapid collaboration by providing an ability to collocate data, its description and its discussion in one spot. The workshop attendees will take away a fully functioning data sharing website for exploring its use in their projects. See more information on the workshop page.

Workshop Information

Hilbert Symposium

TBD.

More information to come.

7th International Symposium on Data Assimilation (ISDA 2019)

Jan. 21–24, 2019
Location: Kobe, Japan

The symposium will focus on the cross-cutting issues shared in broad applications of data assimilation from geoscience to various physical and biological sciences. In particular, the symposium will enhance discussions among researchers with various background on, for example, non-Gaussian and nonlinear data assimilation problems, Big Data Assimilation (BDA), high-performance computation (HPC), Uncertainty Quantification (UQ), advanced intelligence (AI) and machine learning, multi-scale and multi-component treatments, observational issues, and mathematical problems. We will announce again when we are ready to accept applications.

Important Dates (Tentative):

  • Application deadline: October 2018
  • Speakers confirmed and program made available: November 2018
  • Registration deadline: December 2018
  • Symposium: January 21–24, 2019

Past Events

Recent Event: Halıcıoğlu Data Science Institute Reception

Join Us In Welcoming HDSI into San Diego's Tech Community

June 14, 2018 (5:30 - 7:00 p.m.)
CBRE | 4301 La Jolla Village Dr #3000, San Diego, CA 92122

Join your fellow tech executives in welcoming the institute and professors that will be integral in training and educating the data science professionals of San Diego’s future.

Wine, Beer, & hors-d'oeuvres will be provided.

Host Committee - Tech San Diego Senior Data Science Advisory Committee

  • Annika Jimenez, Dexcom
  • Eliot Weitz, ViaSat
  • Greg Schibler, Neustar
  • Michael Zeller, Software AG
  • Patrick Deglon, Teradata
  • Sameer Chopra, ID Analytics
  • Scott Zoldi, FICO

Past Events

HDSI Distinguished Lecturer Series: Amanda Cox

May 31, 2018 (2:00 – 3:00 p.m.)
San Diego Supercomputer Center Auditorium

Amanda Cox, Editor of New York Times’ The Upshot – Data-driven reporting focused on politics, policy and economic analysis. Download the flyer for more information.

San Diego Clinical Research Network (SDCRN)

Artificial Intelligence and Machine Learning in Drug Discovery: Beyond the Hype

May 30, 2018 (5:30-8:30 p.m.)
Knobbe Martens, 12790 El Camino Real, San Diego, CA, 92130

Innovators and entrepreneurs from some of the hottest companies in the field will present real-world case studies based on cutting-edge science demonstrating how to harness artificial intelligence and machine learning to transform aspects of the life sciences industry, from R&D through personalized medicine. This is followed by an interactive panel discussion around the current state of the field, regulatory and other development hurdles, and what the future of AI and ML in drug discovery holds.

Now open for registration.

Contact: Teresa Gallagher, San Diego Clinical Research Network
teresa@clinicalresearchcurrents.com. 858-692-1835

Data Science and Engineering

Master's Degree for Working Engineering Professionals Information Session

May 23, 2018

For more information or to register, please see the JSOE Master of Advanced Study Degree Program.

Workshop: Methods and Message

May 3, 2018 (4-5:30 p.m.)

Virginia Eubanks
Associate Professor
Political Science
University at Albany, SUNY

Location: MCC Building, Room 250
RSVP

When we intervene in public debates on issues of inequality, how do we make our choices around methods, storytelling, and political engagement matter? Stories about science and technology are particularly challenging as they often implicitly reproduce dominant narratives of inequality. Join Virginia Eubanks, author of Automating Inequality: How High-Tech Tools Profile, Police and Punish the Poor for a conversation about academic research, long-form journalism, and how we chose to frame our messages. We welcome participation of people in any stage of writing, reporting, community, or academic work.

Design@Large Speaker Series

May 2, 2018 (4-6 p.m.)

Virginia Eubanks
Associate Professor
Political Science
University at Albany, SUNY

Title: Automating Inequality: How High-Tech Tools Profile, Police and Punish the Poor
Location: CSE Building, Room 1202
RSVP: Eventbrite

Abstract: Today, automated systems control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data analytics, the most invasive and punitive systems are aimed at the poor.

Virginia Eubanks will discuss her new book, Automating Inequality, which systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile.

Her visit is co-sponsored by the Design Lab and the Institute for Practical Ethics.

Design@Large Speaker Series talks are free and open to the public.

HDSI Distinguished Lecture Series

April 27, 2018 (4-6 p.m.)

David Danks
L.L. Thurstone Professor of Philosophy & Psychology
Head, Department of Philosophy
Carnegie Mellon University

Title: Handling Complexity
Location: Humanities & Social Sciences 7077
UC San Diego

Abstract: It is utterly banal to observe that the world is a complex place. The more challenging question is what to do in the face of that complexity. In this talk, I will address this question along two different lines. First, I will consider how we humans cognitively handle the world’s complexity. I will argue, on both theoretical and empirical grounds, that one way we succeed (when we do) is through rapid, dynamic, goal-driven attention allocation. I then explore the numerous philosophical implications of this aspect of our cognition, particularly in the philosophy of science. Second, I will consider our use of technology—particularly, computational technologies—to handle the world’s complexity on our behalf. As an example, I will briefly describe some of the causal discovery algorithms that we have developed for complex types of data. I will then turn more generally to AI, robotic, and other technologies with autonomous capabilities. Our use of these systems requires that we have appropriate trust in them, and I will present a series of challenges for the development of such trust (at least, in the near-future). This relative lack of appropriate trust raises a number of ethical and policy concerns, and I will conclude my talk by considering ways to ethically develop and deploy AI and other autonomous technologies, in light of the world’s complexity.

Computational Neuroscience Seminar

April 16, 2018 (4-5 p.m.)

Henry D. I. Abarbanel

Physics and Scripps Institution of Oceanography, UC San Diego

Fung Auditorium, Powell-Focht Bioengineering Building
UC San Diego

Organized by the Institute for Neural Computation.

Sponsored by Brain Corp.

Download flyer

Halıcıoğlu Data Science Institute Symposium and Faculty Open House

March 2, 2018
Qualcomm Institute/Atkinson Hall

Student Poster and Presentations:

12:30 pm Dr. Elizabeth Simmons, Executive Vice Chancellor, Academic Affairs
12:40 pm Dr. Rajesh Gupta, Co-Director Halıcıoğlu Data Science Institute
12:45 pm Dr. Terry Sejnowski, Co-Director, Institute for Neural Computation
12:53 pm Dr. Molly Roberts, Political Science
1:01 pm Dr. Gordon Hanson, Global Policy and Strategy
1:09 pm Dr. Amaro, Chemistry/BioChemistry
1:17 pm Dr. Anders Dale, Neuroscience
1:25 pm Dr. George Sugihara, Climate Atmospheric Science/Physical Oceanography
1:33 pm Dr. Yoav Freund, Computer Science and Engineering
1:41 pm Dr. Brad Voytek, Cognitive Science
1:49 pm Dr. Terry Jernigan, Cognitive Science
2:00 pm Q&A
2:15 pm Student posters (Lobby)
3:00 pm Student presentations and judging (Auditorium)
4:00 pm Student posters (Lobby)
5:00 pm Closing

Faculty and Student Open House

March 2, 2018 
Qualcomm Institute (formerly CalIT2)

Join Halıcıoğlu Data Science Institute Co-Directors Rajesh Gupta and Jeffrey Elman, along with Executive Vice Chancellor for Academic Affairs Elizabeth Simmons, to celebrate the official launch of the institute and learn more about its programs.

Agenda:
12:30 – 2:00 Formal Program (Open to Faculty by Invitation Only)
2:00 – 5:00 Student Presentations and Posters