UMD Info Challenge 2021 Summer Camp for Prince George’s County Students

UMD Info Challenge 2021 Summer Camp for Prince George’s County Students

Target Campers: Rising 11th and 12th Grade High School students in Prince George’s County
Session: July 26-30, 2021, 10am – 4pm Daily
Location: Online
Cost to Participants: $0 (Participant Funding Provided by Scholarships)
Application Deadline: REGISTRATION IS CLOSED
Participation Notification Date: July 12, 2021

  • UMD Info Challenge Summer Camp is a week-long data analysis camp. No previous data analysis experience is necessary!
  • Students will work in small teams to solve a real-world problem by analyzing a dataset provided by a professional organization. The experience will be a combination of formal instruction and group work with a faculty mentor.
  • Students will learn how to approach a formal problem statement, incorporate additional datasets to enhance the analysis, use Tableau to conduct the analysis and create a meaningful visualization to share their results.
  • At the end of the week, each team will present their final project to the panel of judges, the dataset providers. Each 1st place winning team member will receive a $100 gift card. 2nd and 3rd place team members will receive $50 gift cards.
  • Apply early, space is limited

Daily Schedule:

10:00am – Review of Daily schedule
10:05am – Instruction (ex. Understanding a problem statement, Introduction to Tableau)
10:30am – Team work based on the instruction
12Noon – Lunch break
1:00pm – Instruction (ex. Incorporating additional datasets, Displaying the results)
1:30pm – Team work based on the instruction
2:00pm – Break
2:15pm – Instruction (ex. Creating an analysis plan, Telling the data story)
2:45pm – Team work based on the instruction
3:45pm – Daily Wrap-up and tomorrow’s plan


Apply for IC21SC

  • Complete this form to apply to participate in the UMD Info Challenge 2021 Summer Camp (IC21SC.)
  • The deadline is June 20, 2021.
  • There are limited number of spots available for IC21SC, so apply early!
  • COMPLETING THIS FORM DOES NOT GUARANTEE A SPOT FOR YOU IN IC21SC!
  • You will be contacted within 3-5 business days after completing the form to confirm we have received your application.
  • You will be notified by July 1, 2021 if you have been accepted to attend IC21SC.

https://tinyurl.com/IC21SCApplication


Datasets:

1. Organization: UMD National Center for Smart Growth (NCSG)

  • Project Name: Behavioral Changes during COVID-19
  • Description: Researchers from UMD’s National Center for Smart Growth (NCSG) designed a survey to investigate the influence of the pandemic and statewide stay-at-home orders on the way people travel to meet their essential needs, do their routine daily exercises, and get to work—if employed in an essential service sector. Monitoring and analysis of the changes in travel behavior and the level of physical activity would be beneficial in many ways; it would help for a more efficient and comprehensive analysis of the various impacts the current situation has on transportation needs, and physical and mental health, and would help us better plan and manage future situations. The dataset can be used for analysis of influence of physical activity on physical and mental health, socio-demographic characteristics on general behavior changes, and other topics of interest. Between April 10th, 2020 and July 8th, 2020, 587 responses were collected from all around the country while the final dataset contains 564 rows with 29 variables representing the 26 survey questions.

2. Organization: United States Department of Agriculture (USDA)

  • Project Name: Packaged Meals
  • Description: Over the past several decades, Americans have grown to rely on the convenience of foods prepared outside of the home. Since 2018, USDA released a branded food product database (BFPD) which is the result of a Public-Private Partnership, whose goal is to enhance public health and the sharing of open data by complementing USDA Food Composition Databases with nutrient composition of branded foods and private label data provided by the food industry. A subset of data was prepared from BFPD to include categories that relate to packaged meals. The Department of Agriculture would like help in identifying the most popular ingredients and the combinations of those ingredients. Agencies can use this information for nutrition stability of these products while manufacturers can develop plans for future production. There are 13 variables and 4,438 rows in the dataset.

3. Organization: United States Department of Housing and Urban Development (HUD)

  • Project Name: Opportunity Zones
  • Description: Opportunity Zones are a place-based incentive that were created by the Tax Cuts and Jobs Act of 2017. This incentive allows investors to allocate unrealized capital gains into Qualified Opportunity Funds to invest in Qualified Opportunity Funds. Governors of each state were able to propose up to 25% of low-income census tracts to be Opportunity Zones. States were also eligible to nominate contiguous census tracts adjacent to low-income census tracts if the adjacent census tract had a median family income within 125% of the eligible low-income census tract and the eligible low-income census tract was selected. Students are expected to be able to link/join/merge other datasets to the Opportunity Zone Eligible Census Tracts dataset and identify any trends using Census and/or American Community Survey data. The Opportunity Zone dataset contains 17 variables and 72,882 rows. There are 3 American Community Surveys, each with 73,764 rows and between 127-248 variables.

4. Organization: UMD Department of Transportation Services (DOTS)

  • Project Name: VeoRide E-scooter Transportation
  • Description: The company that provides the e-scooter service in the UMD area, VeoRide Inc., is a mobility service provider that manages their micro mobility fleet through the use of the Mobility Data Standard (MDS). Data generated from individual e-scooters and stored in VeoRide’s computers contain the information necessary for this study. The dataset comprises 62 days (October 2020 and October 2019) of historical data, to include ride counts, event times, trips, routes, and status changes. The Department of Transportation Services would like to know how the publicly available e-scooter service available on campus provided by VeoRide Inc., supplements the campus transportation network. Within the timeframe of the data, there are 14 variables and 40,325 rows of recorded rides.