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The Curiosity Cup
A Global SAS Student Competition

The 2026 Curiosity Cup Results

Thirteen teams from around the world advanced past the first round and submitted video presentations for the second. Thirty-seven judges scored each presentation three times to identify winners and runners-up in three categories.

Congratulations to the winners and thank you to all the participating teams! We hope you enjoyed applying your skills to uncover insights through data.

Winners and runners-up will receive an email with final scores, jury feedback, and instructions to claim their digital badge and prizes.

BUSINESS & ECONOMY

RankTeam NameAcademic InstitutionCountryTitle of the paper
WinnerUCCUNew York University  USEvaluating a Residual‑Based Hybrid Volatility Framework: Cross‑Market Evidence from U.S. VIX Data  
Runner-upMachine Still LearningUniversity of MalayaMalaysiaPredicting Customer Churn Trends in the Telecommunications Industry

BUSINESS & ECONOMY

  • Rank • Team Name • Academic Institution • Country • Title of the paper
  • Winner • UCCU • New York University • US • Evaluating a Residual‑Based Hybrid Volatility Framework: Cross‑Market Evidence from U.S. VIX Data  
  • Runner-Up • Machine Still Learning • University of Malaya • Malaysia • Predicting Customer Churn Trends in the Telecommunications Industry

HEALTH, SCIENCE & ENGINEERING

RankTeam NameAcademic InstitutionCountryTitle of the paper
WinnerSTATYXFEU Institute of TechnologyPhilippinesThreshold of Urban Biodiversity Collapse: Forecasting Ecological Tipping Points Under Artificial Light at Night and Other Environmental Covariates Using Avian Indicators  
Runner-upNasi Lembak Tambah NasiIMU UniversityMalaysiaPredicting Fatigue Level of Nurses in Hospital to Enhance Staff Optimisation Using SAS Viya for Learners

HEALTH, SCIENCE & ENGINEERING

  • Rank • Team Name • Academic Institution • Country • Title of the paper
  • Winner • STATYX • FEU Institute of Technology • Philippines • Threshold of Urban Biodiversity Collapse: Forecasting Ecological Tipping Points Under Artificial Light at Night and Other Environmental Covariates Using Avian Indicators  
  • Runner-Up • Nasi Lembak Tambah Nasi • IMU University • Malaysia • Predicting Fatigue Level of Nurses in Hospital to Enhance Staff Optimisation Using SAS Viya for Learners

CULTURE, LIFESTYLE & ENTERTAINMENT

RankTeam NameAcademic InstitutionCountryTitle of the paper
WinnerStatistix & Chill   Bratislava University of Economics and BusinessSlovakiaThe Effect of Social Media on Mental Health and Academic Performance of Students
Runner-upColdChain PredictorsBucharest University of Economic StudiesRomaniaRefrigerator Price Prediction Using Ensemble Learning in SAS®: A Feature Engineering and Multi‑Model Benchmarking Study

CULTURE, LIFESTYLE & ENTERTAINMENT

  • Rank • Team Name • Academic Institution • Country • Title of the paper
  • Winner • Statistix & Chill • Bratislava University of Economics and Business • Slovakia • The Effect of Social Media on Mental Health and Academic Performance of Students  
  • Runner-Up • ColdChain Predictors • Bucharest University of Economic Studies • Romania • Refrigerator Price Prediction Using Ensemble Learning in SAS®: A Feature Engineering and Multi‑Model Benchmarking Study

Check out the top three Curiosity Cup winners from 2026

Business & Economy:
UCCU
New York University
US

Evaluating a Residual‑Based Hybrid Volatility Framework: Cross‑Market Evidence from U.S. VIX Data

Health, Science & Engineering :
STATYX
FEU Institute of Technology
Philippines

Threshold of Urban Biodiversity Collapse: Forecasting Ecological Tipping Points Under Artificial Light at Night and Other Environmental Covariates Using Avian Indicators

Culture, Lifestyle & Entertainment :
Statistix & Chill
Bratislava University of Economics and Business
Slovakia

The Effect of Social Media on Mental Health and Academic Performance of Students

Curiosity Cup 2026 at a glance

138 teams

20 countries

452 students

37 industry consultants

Competition Guidelines

Teams can choose their own SAS learning software, data and analytical question(s) for the competition.

  • Data and analytical question(s):
    • Student teams may choose their own data set and pose their own analytical question(s).
    • Data sets must be publicly available, and entries must include a link to the data. See the FAQ for examples of data set sources.
    • As part of the registration process, each team must select one category under which their entry will be judged. The categories are:
      - Business and Economy (ex: banking, insurance, stock markets, startups, risk and fraud).
      - Health, Science and Engineering (ex: disease prevention, climate and environmental impact, transportation, societal good).
      - Culture, Lifestyle and Entertainment (ex: language and communication, consumer behavior, sports and gaming, fun).


    Teams must select the category that best fits their project when registering – this choice is final and can't be changed later. Entries will be judged only within the selected category, so choosing the right one is important. Be sure to review the category descriptions carefully before making your selection.



    * SAS Viya Workbench for Learners is a development environment that supports SAS, Python and R. Curiosity Cup participants who use Viya Workbench for Learners may use Python and R but are encouraged to also show how SAS code or SAS Viya were used to advance their analysis or to visualize their results.

    Judging

    Teams have two rounds to highlight their skills:

    • Round 1: Teams submit a two-to-five-page paper that conducts a data analysis using SAS technology and describes results to a general audience.
      • Judging is based on data preparation, data analysis, data presentation and overall paper structure.
      • Up to 15 teams will be chosen to compete as finalists in round 2.
      • All papers must be submitted using the approved paper template, which teams will be emailed following registration. Only papers using that template will be accepted..
    • Round 2: Teams selected for round 2 will submit a video presentation describing their data analysis as if given to an audience of analytical stakeholders.
      • Judging is based on presentation organization, demonstrated subject knowledge, use of visuals, presentation mechanics and message.

    Awards

    All finalist teams will receive a SAS digital badge acknowledging Finalist status.

    • A winning and runner-up team will be declared in each of the three categories:
      • Business and Economy (ex: banking, insurance, stock markets, startups, risk and fraud).
      • Health, Science and Engineering (ex: disease prevention, climate and environmental impact, transportation, societal good).
      • Culture, Lifestyle and Entertainment (ex: language and communication, consumer behavior, sports and gaming, fun).
    • Each student member of the top team in each category may select one of the following prizes:
      • Apple iPad (approximate MSRP: US$449).
      • Beats Studio Pro Wireless Headphones (approximate MSRP: $349).

      * Prizes are subject to availability. In the event of a supply shortage, a comparable prize option of similar value will be offered. Only one first-place prize will be given to an individual winner.

    • Additionally, each student from a winning team will receive:
      • Twelve months of access to the SAS content subscription of their choice.
      • SAS digital badge acknowledging finalist status.
    • Each student member of the runner-up teams in each domain will receive:
      • Twelve months of access to the SAS content subscription of their choice.
      • SAS digital badge acknowledging finalist status.

    Please contact us with any questions at curiositycup@sas.com.