Big Data Challenges

Changing the world through successful big data challenges

Innocentive data challenges are competitions that leverage the creativity, expertise, and resources of the crowd to solve complex problems using data.

Diverse Perspectives

They bring together people with varied expertise (e.g., data scientists, domain experts, students, etc.).

Scalability

Large-scale problems can be tackled collectively, leveraging crowd intelligence.

Cost-Effectiveness

Organizations can access solutions without maintaining large, in-house teams.

Acceleration

They can rapidly prototype and test solutions.

Innocentive has run significant big data challenges since 2010 here are a few examples:

IARPA INSTINCT Challenge

IARPA sought algorithms to analyze neural, physiological, and behavioral data to predict trustworthiness. Innocentive hosted training data (40% of full dataset), a leaderboard dataset (25% allowing daily prediction submissions with top 10 scores displayed), and a reserved evaluation set (35% withheld for final judging). The winning solution improved IARPA's baseline data analysis through an interdisciplinary approach combining neuroscience, data science, and engineering expertise.

Prize4Life ALS Biomarker Challenge

offered a $1 million prize to find a biomarker measuring ALS disease progression involving complex biological and medical data analysis.

Life Technologies Grand Challenges

Offered three $1 million prizes ($3 million program total) to double the scalability, speed, and accuracy of their Ion Personal Genome Machine for DNA sequencing requiring analysis of massive genomic datasets.

NASA OpenNEX Climate Data Challenge

A two-phase competition run in collaboration with Amazon Web Services, to develop applications utilizing large-scale climate and Earth science satellite data, with datasets including files containing over 1.3 billion temperature values covering North America.

"81% of our government challenge solvers had never responded to traditional RFPs. Innocentive opened doors to talent we couldn't reach otherwise."

NASA Innovation Program

Wazoku AI - Enterprise-Grade Data Challenge Infrastructure

Competition features

Dual Leaderboard System

Public and private leaderboards with automated evaluation at submission

Custom Metrics Library

Specialized metrics designed to prevent gaming, with expert consultation included

Flexible Compute Options

Bring Your Own Compute (BYOC) or leverage our provided infrastructure

ISO27001 Compliant

Fully secure data science solution meeting international standards

Premium Support

Expert consulting for metric design and data preparation

Complete IP transfer and NDA management

End-to-end challenge administration

Start Your Data Challenge Today

Join the hundreds of organizations that have discovered breakthrough solutions through Innocentive's unique approach to data challenges.

Some example challenge types

Scientific Research and Discovery

Predicting disease outbreaks or the spread of pandemics.
Accelerating drug discovery and vaccine development.
Analyzing astronomical datasets to identify new celestial bodies or phenomena.
Climate modeling and predicting environmental changes.

Business and Industry Optimization

Improving supply chain logistics and inventory management.
Developing predictive models for customer behavior and churn.
Enhancing financial forecasting and fraud detection.
Optimizing energy consumption or renewable energy production.

Public Policy and Social Challenges

Identifying patterns in crime to improve public safety.
Analyzing traffic data to improve urban planning and reduce congestion.
Building models for equitable resource allocation in education or healthcare.
Designing interventions to reduce poverty or inequality using data-driven insights.

Environmental and Sustainability Issues

Detecting deforestation and illegal logging using satellite imagery.
Monitoring biodiversity or species migration patterns.
Optimizing waste management and recycling systems.
Developing solutions to reduce carbon footprints or predict climate impacts.

Healthcare and Medical Applications

Predicting patient outcomes or disease progression.
Enhancing diagnostic tools using machine learning (e.g., detecting cancer in medical images).
Optimizing hospital operations and resource allocation.
Identifying genetic markers for diseases using genomics datasets.

Technology and Artificial Intelligence Development

Building better natural language processing models for specific applications.
Improving image or video recognition systems (e.g., autonomous vehicles).
Enhancing cybersecurity through anomaly detection and threat prediction.
Developing algorithms for real-time decision-making in robotics.

Education and Workforce Development

Personalizing learning experiences using predictive analytics.
Analyzing student performance to improve teaching methods.
Identifying skills gaps in the workforce and designing targeted training programs.

Space Exploration and Aerospace

Identifying anomalies in spacecraft telemetry data.
Mapping planetary surfaces using satellite data.
Optimizing flight paths for fuel efficiency in aviation.

Agriculture and Food Security

Predicting crop yields and optimizing planting schedules.
Detecting pests or diseases in crops using image recognition.
Improving water usage and irrigation systems.
Enhancing food supply chain efficiency to reduce waste.

Open-Ended Innovation and Creative Applications

Activating Human Intelligence for Big Data Challenges

In the era of exponential data growth, breakthrough solutions are hard to find.