Graduate Studies

DataJam

On Friday, October 12th, student teams presented their data-infused solutions for a RESILIENT LA in the 2nd Annual DataJam Competition!

Please check the list of DataJam 2018 Awards for the results. 

DataJam 2018 Awards!!!

We are very pleased to announce the winning team presentations for DataJam 2018!

  • Best Data Visualization: The Aquaticians
  • Best Data Science: The Outliers
  • Best Reproducible Research: Abnormal Distributions
  • Best Insights: Team Rocket
  • Best Resilience: Data Discoverers
  • Judges Choice: POKEdata 

Thank you to everyone who participated in this year's event! 

Student Team Information

All CSUN students interested in participating are encouraged to self-enroll for the DataJam 2018 course on Canvas by copying and pasting the following url: https://canvas.csun.edu/enroll/D4C7TDAlternatively, students can sign up by copying and pasting the following url: https://canvas.csun.edu/register using the following join code: D4C7TD. If you are unable to use these links, please complete this formThe course provides an overview of data science with tutorials on data visualization, mapping and geospatial data, statistical analysis, and using open data. Resources are also provided on resilience topics.

Data Science Workshops will be presented throughout the day on Friday, September 28th. See the workshop schedule for details. 

Team registration is now closed. For those competing, presentations must be uploaded to the Portfolium Challenge by 9pm Wednesday, October 10th and emailed to research@csun.edu. Teams will present in competition on Friday, October 12th. More details are available to teams via the Canvas course.

Launch - September 21st

We are very excited to welcome Jory Wolf, VP of Digital Innovation at Magellan, as our keynote speaker at the launch of DataJam 2018!

As VP of Digital Innovation, Jory leads local governments in the development of strategic broadband and smart city projects, telecommunications policy, and IT best practice. Jory enjoyed a 35-year career with the City of Santa Monica where, as CIO for the City, he launched free ubiquitous City Wi-Fi, created Santa Monica City Net, a 100 gigabit broadband network supporting the development of Silicon Beach, and implemented smart city applications in transportation and public safety. He has received over 60 awards for information technology projects and was awarded the 2012 CIO Lifetime Achievement Award from the Los Angeles Business Journal.

Schedule: Oviatt Library Ferman Presentation Room

  • 11:30 a.m.: Check-in / Lunch served
  • 12:00 p.m.:  Welcome / Event overview
  • 12:15 p.m.: Keynote: Jory Wolf, VP of Digital Innovation at Magellan
  • 1:00 p.m.: break
  • 1:15 p.m. – 2:15 p.m. Resilience Topics
  • 2:15 p.m. – 2:30 p.m. Competition Guidelines / Student Q&A

Please RSVP for Launch Day here.

Workshop Schedule - September 28th

9:00 am BLOCK

Title: Pathways to Data Science

 

10:00 am BLOCK

Title: Preliminary data analysis

  • Presenter: Akanksha Bedi (Management)
  • Time: 10:00 am (80 minutes)
  • Room: USU, Panorama City
  • Type: Workshop
  • Description: In this workshop students will gain an understanding of preliminary checks on raw data before analyses. Sample topics include examining the data for possible errors, normality and outlier tests, and descriptive statistics and reliability tests. Students will also learn basic preliminary hypotheses testing techniques such as correlation and simple regression.
  • Technical Requirements: Laptop with SPSS or access to SPSS via myCSUNsoftware.
  • RSVP: https://www.eventbrite.com/e/datajam-workshop-preliminary-data-analysis-tickets-50375032077

 

Title: Catching the Hollywood Arsonist with GIS

  • Presenter: Steven Graves (Geography)
  • Time: 10:00 am (60 minutes)
  • Room: USU, Pasadena
  • Type: Workshop
  • Description: In this 45-minute workshop, attendees will use a map of arsons committed by the notorious Hollywood Arsonist in a quest to identify the likely address of suspects in these crimes; as well as ideal locations to set up checkpoints and roadblocks as we seek to stop the arsonist before he burns more of Hollywood.
  • Technical Requirements: Laptop/Chromebook with access to ArcGIS (via myCSUNsoftware).
  • RSVP: https://www.eventbrite.com/e/datajam-workshop-catching-the-hollywood-arsonist-with-gis-tickets-50375923744

 

Title: Biomedical image processing with Matlab

  • Presenter: Katya Mkrtchyan (Computer Science)
  • Time: 10:00 am (20 minutes)
  • Room: USU, Flintridge
  • Type: Talk
  • Description: Images play an increasingly important role in many fields of science and its applications. Biology is one of the best examples of fields that have come to depend heavily upon images for progress. Biological images contain a lot of objects and patterns, which may contain information about underlying mechanism in biology. Image analysis provides a way to extract and quantify objects and patterns in image data and obtain answers to meaningful biological questions. Matlab is an environment and programming language to perform image analysis, processing, and algorithm development.
  • Technical Requirements: none
  • RSVP: https://www.eventbrite.com/e/biomedical-image-processing-with-matlab-tickets-50550720566

 

Title: Mapping Wildfires

  • Presenter: Suzette Mera (student, Geography)
  • Time: 10:00 am (20 minutes)
  • Room: USU, Van Nuys
  • Type: Talk
  • DescriptionWildfires are a major concern in Southern California, it threatens the livelihood of communities and ecosystems. Wildfires are becoming more frequent, that knowing the fire perimeter and intensity is important to fire respondents departments in order to create an efficient plan of recovery. This project explores how an initial fire assessment was conducted for the Thomas Fire, located in Santa Barbara and Ventura county. Landsat OLI Data, and the applications of remote sensing and GIS was used to quantify the severity of the Thomas fire.
  • Technical Requirements: none
  • RSVP: https://www.eventbrite.com/e/mapping-wildfires-tickets-50550987364

 

Title: Climate Reality Project: Truth in Ten

  • Presenters: Sherrie Hixon & Loraine Lundquist
  • Time: 10:00 am (20 minutes)
  • Room: USU, Tujunga
  • Type: Talk
  • DescriptionHotter temperatures, stronger storms, and rising sea levels are just a few of the effects of climate change. This presentation will bring you up-to-date on the climate crisis and offer a host of solutions being implemented locally and globally.
  • Technical Requirements: none
  • RSVP: https://www.eventbrite.com/e/climate-reality-project-truth-in-ten-tickets-50378399148

 

10:30 am BLOCK

Title: Using Data Visualization to Best Tell Your Story

 

Title: The short and long-term effects of predation risk on prey fitness in a temperate reef fish

  • Presenter: George Jarvis (student, Biology)
  • Time: 10:30am (20 minutes)
  • Room: USU, Tujunga
  • Type: Talk
  • Description: Predators can impact prey fitness through their lethal (e.g. density-mediated) and sublethal (e.g. trait-mediated) effects. Of the studies that have examined sublethal effects of predators on reproduction in marine fishes, most have been conducted in laboratory settings, but very few have tested these effects in nature. We conducted a field experiment at Catalina Island, California to identify how predatory risk cues from temperate reef fishes may influence reproductive output in the bluebanded goby, Lythrypnus dalli.
  • Technical Requirements: none
  • RSVP: https://www.eventbrite.com/e/the-short-and-long-term-effects-of-predation-risk-on-prey-fitness-in-a-temperate-reef-fish-tickets-50378614793

 

Title: Portfolium Challenge

  • Presenter: Nairee Bedikian
  • Time: 10:30 am (45 mins)
  • Room: USU, Van Nuys
  • Type: Workshop
  • Description: Learn how to use Portfolium to build your professional portfolio and how to upload your presentation for competition in the Portfolium Challenge: DataJam 2018.
  • Technical Requirements: none
  • RSVP: https://www.eventbrite.com/e/portfolium-challenge-tickets-50551031496

 

11:00 am BLOCK

Title: What's on the Menu When You're a Big City Coyote?

  • Presenter: Rachel Larson (student, Biology)
  • Time: 11:00 am (20 minutes)
  • Room: USU, Tujunga
  • Type: Talk
  • DescriptionLos Angeles is one of the largest urban areas in the world and yet wildlife can still manage to survive in the heart of the city. My research investigates what coyotes are eating when they live among people. Contrary to popular belief, it’s not just trash and cats - come find out more!
  • Technical Requirements: none
  • RSVP: https://www.eventbrite.com/e/datajam-workshop-urban-coyotes-tickets-50378695033

 

Title: Student Team Networking

12:00 pm Lunch Served

12:30 pm LUNCH PLENARY

Title: Resources, Capabilities, and Strategies for Data Science Learners

  • Presenter: Wayne Smith (Management)
  • Time: 12:30 pm (55 minutes)
  • Room: USU, Lake View Terrace
  • Type: Talk
  • Description: As data science comes into its own profession that builds upon math, statistics, and computer science (in addition to substantive subject matter expertise), it is important to understand how to think and act as a data science professional. This talk is aimed at answering the following questions: What makes a data science learner and how do they learn? How do data science learners balance software and techniques, programming software and graphical software, traditional statistical methods and contemporary machine learning? How can we make the best of data science resources such as conferences, meetups, Kaggle, and related learning opportunities?  How do changes to Common Core and NGSS affect data science learners? What do employers want, or simply, how to network the career landscape in this space (without changing majors)?
  • Technical Requirements: none
  • RSVP: https://www.eventbrite.com/e/lunchtalk-resources-capabilities-and-strategies-for-data-science-learners-tickets-49968591402

 

1:30 pm BLOCK

Title: A Tutorial for Azure ML Studio with Business Applications

  • Presenter: Dongling Huang (Marketing)
  • Time: 1:30 pm (80 minutes)
  • Room: USU, Panorama City
  • Type: Workshop
  • Description: Machine Learning applications are becoming more and more popular in today’s business world. Businesses that are able to successfully use such tools to improve their effectiveness are gaining competitive advantages in the market place. In this tutorial we will introduce a very user-friendly Machine Learning Toolbox for predictive analytics, Azure ML Studio. There's no special software or hardware required; all you need is a browser and a free Microsoft account. This tutorial will demonstrate how to upload data, create, train and test machine learning models within a business context.
  • Technical Requirements: Laptop with access to the internet
  • RSVP: https://www.eventbrite.com/e/datajam-workshop-a-tutorial-for-azure-ml-studio-with-business-applications-tickets-50375365073

 

Title: Prediction: How do I predict the unknown?

 

Title: The NBA, MLB and Beyond: Archival Research in Sports

 

TitleEvaluating the capacity of canopy-forming macroalgae to buffer seawater from ocean acidification

  • Presenter: Lansing Perng (student, Biology)
  • Time: 1:30 pm (20 minutes)
  • Room: USU, Tujunga
  • Type: Talk
  • DescriptionAn increase in atmospheric carbon dioxide has led to ocean acidification (OA), a climate change process that negatively impacts calcification on coral reefs. High photosynthetic rates in coral reef macroalgae may locally buffer seawater pH and mitigate the negative effects of OA. A mesocosm and subsequent field study were used to evaluate the potential effects on crustose coralline algae.
  • Technical Requirements: none
  • RSVP: https://www.eventbrite.com/e/algal-responses-to-climate-change-tickets-50379427223

 

Title: Student Team Networking

 

3:00 pm BLOCK

Title: Introduction to Data Visualization Tools

  • Presenter: Li Liu (Computer Science)
  • Time: 3:00 pm (80 minutes)
  • Room: USU, Panorama City
  • Type: Workshop
  • Description: "A picture is worth 1000 words". This workshop will introduce how to create plots and visuals from data using software tools to extract information, understand the data, and make effective decisions and how to tell a compelling story from data and findings in an approachable and stimulating way. You will also learn some of the best practices of data visualization in different applications from this workshop. Please bring your computer with R and a text editor software installed and be ready to write code.
  • Technical Requirements: Laptop with R and text editor installed
  • RSVP: https://www.eventbrite.com/e/datajam-workshop-introduction-to-data-visualization-tools-tickets-50375574700

 

Title: R for SPSS Users

  • Presenter: Andrew Ainsworth
  • Time: 3:00 pm (80 minutes)
  • Room: USU, Pasadena
  • Type: Workshop
  • Description: SPSS is a wonderful statistical program that allows point and click access to an array of analyses.  However, the ease of SPSS can often make users reluctant to branch out to other programs that rely on syntax and coding. This workshop is designed to ease SPSS users into the R platform through the use of R commander. This will allow users the ability to perform similar point and click procedures as in SPSS all while producing the R code associated with each analysis.
  • Technical Requirements: Laptop with R and Rstudio installed
  • RSVP: https://www.eventbrite.com/e/datajam-workshop-r-for-spss-users-tickets-50376189539

 

Title: Collecting and Analyzing Data About Critical Infrastructure Networks and Crisis Management Efforts

  • Presenter: Anais Valiquette L'Heureux
  • Time: 3:00 pm (80 minutes)
  • Room: USU, Flintridge
  • Type: Workshop
  • DescriptionExtreme events are hard to predict and have catastrophic consequences, including loss of live, environmental destruction and contamination, tangible effects on the quality of life in the affected areas and beyond. Research about critical infrastructure protection and crisis analysis often use case studies to make sense of complex problems. This presentation will summarize two case studies.  The presenter and will describe the data analysis techniques for crisis and emergencies' effective management as well as the steps involved in analyzing the resilience of critical infrastructure networks - the ability to prevent large networks of life-sustaining infrastructures (electricity, transportation, telecommunication, etc.) to fall like dominos in the aftermath of an extreme event caused by humans or natural disaster. 
  • Technical Requirements: TBD
  • RSVP: https://www.eventbrite.com/e/datajam-workshop-critical-infrastructure-protectiondata-in-emergency-management-tickets-50378238668

 

Title: High School to CSUN

  • Presenters: Izzy Hasson, Arman Terzyan, Carol Shubin
  • Time: 3:00 pm (60 minutes)
  • Room: USU, Tujunga
  • Type: Talk
  • Description: We study large scale patterns in high school records and CSUN student records from 2006-2015. We want to understand how well multiple measures (grades earned in A-G high school courses and SAT/ACT test scores) are related to placement and success at CSUN. We characterize the difference in the student populations who were placed in 100-level math GE baccalaureate level courses versus those who were placed in developmental math courses based on their high school records. We discuss the problems with the data, and the implications and implementation of the California State University Executive Order EO 1110 and EO 1110 Guidelines, particularly for CSUN students and faculty.
  • Technical Requirements: none
  • RSVP: https://www.eventbrite.com/e/high-school-to-csun-tickets-50379549589

Competition Day - October 12th

USU Thousand Oaks Room

Team presentations will begin at 10:00 am. Refreshments at 12:00 noon. Awards at 12:40 pm. 

Please RSVP if you plan to join us!

Introduction to Data Science

New to data science? Review Professor Wayne Smith's presentation, "Introduction to Data Science." 

Judging Criteria

Team presentations will be evaluated using the following criteria:

Data Visualization: Teams generate presentations that balance content (subject matter) and aesthetics (use of color, typography, etc.), and cohesion (unity) and coupling (sequence) of presentation material. Teams will: 1) choose the right visual for the purpose/goal of the presentation, 2) link the visuals to exploratory analysis and descriptive statistics, and 3) demonstrate how the visuals suggest further data collection, confirmatory analysis, or predictive modeling techniques.

Data Science: Teams have appropriately stated their objectives and/or hypothesis and used appropriate datasets to explore their hypothesis. Teams have used the appropriate type of analyses to answer their research question and support their interpretation of the results. Teams demonstrate an understanding of sampling, observed variables, distribution-based confirmatory tests, and mathematical calculations.

Reproducible Research: Teams present their investigation consistent with core research integrity that allows for other individuals to: 1) understand the methodological framework and analytic environment of the researcher; 2) access the original data in an open format; 3) replicate each step in the analytical process; 4) verify results using software applications that are freely licensed and readily available; and, 5) access scripts and results in a format that are malleable and publicly accessible.

Insights: Teams generate insights into the use of data and specify: 1) acknowledgement of the limitations of provided (endogenous) data; 2) identification of alternate sources (exogenous) of data that adds value to their hypothesis; 3) appropriate acquisition of other data; and, 4) integration of new data to create information that is more descriptive, diagnostic, predictive, or prescriptive than use of the original data alone. 

Resilience: Teams demonstrate an understanding of the breadth of resilience challenges faced by the LA region. Data is used to appropriately identify a unique resilience-related challenge for the LA region, justify the hypothesis, and support a compelling argument for the team's proposed solution and how it can apply to institutions and/or government agencies.

Judges Choice: Judges will award in this category at their complete discretion. Presentation stands out and exhibits exemplary work, potentially in a category outside of the defined criteria. Judges have complete freedom to award this category to any team for any reason. Potential criteria may include approaches to research, resilience, and/or data science that are considered "novel," "trans-disciplinary," "ethical," "innovative," "strategic," or other. 

DataJam Committee

Many thanks to our DataJam 2018 Committee!

  • Andrew Ainsworth (Psychology, CARE)
  • Elizabeth Altman (Oviatt Library)
  • Meeta Banerjee (Psychology)
  • Kyle Dewey (Computer Science)
  • Helen Heinrich (Information Technology)
  • Sherrie Hixon (Research & Graduate Studies)
  • Charissa Jefferson (Oviatt Library)
  • Crist Khachikian (Research & Graduate Studies)
  • Li Liu (Computer Science)
  • Erika Reyes (Research & Graduate Studies)
  • Chris Salvano (Oviatt Library)
  • Tim Tiemann (CSUN Innovation Incubator)
  • Dongling Huang (Marketing)
  • Adriano Zambom (Mathematics)