Skip to main content
T-Minus ZeroComm Link

Exact Contract Story

CONFERENCE: INAUGURAL BERKELEY-STANFORD WORKSHOP ON VERIDICAL DATA SCIENCE -THE INAUGURAL BERKELEY-STANFORD WORKSHOP ON VERIDICAL DATA SCIENCE WILL BE HELD ON FRIDAY MAY 31, 2024, AT BIDS ON UC BERKELEY CAMPUS. THE ORGANIZING COMMITTEE CONSISTS OF BIN YU (UC BERKELEY, CO-CHAIR), RUSS POLDRACK (STANFORD, CO-CHAIR), MAYA MATHUR (STANFORD), AND TIFFANY TANG (UNIVERSITY OF MICHIGAN). THIS CONFERENCE IS JOINTLY HOSTED BY THE BERKELEY INSTITUTE OF DATA SCIENCE (BIDS) AND THE DEPARTMENT OF STATISTICS, PARTS OF UC BERKELEY'S COLLEGE OF COMPUTING, DATA SCIENCE, AND SOCIETY (CDSS) AND STANFORD DATA SCIENCE CENTER FOR OPEN AND REPRODUCIBLE SCIENCE (SDS-CORES). DATA SCIENCE IS PLAYING A UBIQUITOUS ROLE IN SCIENCE, SOCIETY, AND BEYOND, UNDERSCORING THE URGENT NEED TO ENSURE THE TRUSTWORTHINESS AND SAFETY OF DATA SCIENCE INCLUDING MACHINE LEARNING. THE DATA SCIENCE LIFE CYCLE (DSLC) IS OFTEN A COMPLEX AND MULTI-STEP PROCESS, INCLUDING DOMAIN PROBLEM FORMULATION, DATA COLLECTION AND CLEANING, DATA VISUALIZATION, MODEL/ALGORITHM DEVELOPMENT, POST-HOC VISUALIZATION, INTERPRETATION, VETTING AND COMMUNICATION. IN EVERY STEP OF A DSLC, HUMAN JUDGMENT CALLS ARE MADE AND OFTEN UNACCOUNTED FOR IN THE TRADITIONAL UNCERTAINTY QUANTIFICATION. VERIDICAL DATA SCIENCE (VDS) IS THE PRACTICE OF RIGOROUSLY CONDUCTING DATA ANALYSIS WHILE MAKING HUMAN JUDGMENT CALLS AND USING DOMAIN KNOWLEDGE TO EXTRACT AND COMMUNICATE USEFUL, TRUSTWORTHY INFORMATION FROM DATA TO SOLVE A REAL-WORLD DOMAIN PROBLEM. THE PREDICTABILITY-COMPUTABILITY-STABILITY (PCS) FRAMEWORK AND DOCUMENTATION HAVE BEEN DEVELOPED TOWARDS VERIDICAL DATA SCIENCE. THIS CONFERENCE IS FOCUSED ON VERIDICAL (TRUTHFUL) DATA SCIENCE (VDS) FOR RESPONSIBLE DATA ANALYSIS AND DECISION-MAKING. THERE WILL BE 4 KEYNOTE SPEAKERS AND 9 INVITED SPEAKERS. WE EXPECT AROUND 100?150 ATTENDEES FROM BOTH ACADEMIA AND INDUSTRY. 8-10 LIGHTNING TALK SPEAKERS WILL BE SELECTED BASED ON SUBMITTED ABSTRACTS. THIS WORKSHOP INTENDS TO BUILD A COMMUNITY OF VERIDICAL DATA SCIENCE RESEARCHERS. HTTPS://NA.EVENTSCLOUD.COM/WEBSITE/69057 THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.

CONFERENCE: INAUGURAL BERKELEY-STANFORD WORKSHOP ON VERIDICAL DATA SCIENCE -THE INAUGURAL BERKELEY-STANFORD WORKSHOP ON VERIDICAL DATA SCIENCE WILL BE HELD ON FRIDAY MAY 31, 2024, AT BIDS ON UC BERKELEY CAMPUS. THE ORGANIZING COMMITTEE CONSISTS OF BIN YU (UC BERKELEY, CO-CHAIR), RUSS POLDRACK (STANFORD, CO-CHAIR), MAYA MATHUR (STANFORD), AND TIFFANY TANG (UNIVERSITY OF MICHIGAN). THIS CONFERENCE IS JOINTLY HOSTED BY THE BERKELEY INSTITUTE OF DATA SCIENCE (BIDS) AND THE DEPARTMENT OF STATISTICS, PARTS OF UC BERKELEY'S COLLEGE OF COMPUTING, DATA SCIENCE, AND SOCIETY (CDSS) AND STANFORD DATA SCIENCE CENTER FOR OPEN AND REPRODUCIBLE SCIENCE (SDS-CORES). DATA SCIENCE IS PLAYING A UBIQUITOUS ROLE IN SCIENCE, SOCIETY, AND BEYOND, UNDERSCORING THE URGENT NEED TO ENSURE THE TRUSTWORTHINESS AND SAFETY OF DATA SCIENCE INCLUDING MACHINE LEARNING. THE DATA SCIENCE LIFE CYCLE (DSLC) IS OFTEN A COMPLEX AND MULTI-STEP PROCESS, INCLUDING DOMAIN PROBLEM FORMULATION, DATA COLLECTION AND CLEANING, DATA VISUALIZATION, MODEL/ALGORITHM DEVELOPMENT, POST-HOC VISUALIZATION, INTERPRETATION, VETTING AND COMMUNICATION. IN EVERY STEP OF A DSLC, HUMAN JUDGMENT CALLS ARE MADE AND OFTEN UNACCOUNTED FOR IN THE TRADITIONAL UNCERTAINTY QUANTIFICATION. VERIDICAL DATA SCIENCE (VDS) IS THE PRACTICE OF RIGOROUSLY CONDUCTING DATA ANALYSIS WHILE MAKING HUMAN JUDGMENT CALLS AND USING DOMAIN KNOWLEDGE TO EXTRACT AND COMMUNICATE USEFUL, TRUSTWORTHY INFORMATION FROM DATA TO SOLVE A REAL-WORLD DOMAIN PROBLEM. THE PREDICTABILITY-COMPUTABILITY-STABILITY (PCS) FRAMEWORK AND DOCUMENTATION HAVE BEEN DEVELOPED TOWARDS VERIDICAL DATA SCIENCE. THIS CONFERENCE IS FOCUSED ON VERIDICAL (TRUTHFUL) DATA SCIENCE (VDS) FOR RESPONSIBLE DATA ANALYSIS AND DECISION-MAKING. THERE WILL BE 4 KEYNOTE SPEAKERS AND 9 INVITED SPEAKERS. WE EXPECT AROUND 100?150 ATTENDEES FROM BOTH ACADEMIA AND INDUSTRY. 8-10 LIGHTNING TALK SPEAKERS WILL BE SELECTED BASED ON SUBMITTED ABSTRACTS. THIS WORKSHOP INTENDS TO BUILD A COMMUNITY OF VERIDICAL DATA SCIENCE RESEARCHERS. HTTPS://NA.EVENTSCLOUD.COM/WEBSITE/69057 THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.

Status: Exact storyScope: blue-originContract key: USASPENDING-2413618Award ID: 2413618

Discovery Data

Mission
Blue Origin Program
Awarded on
2024-05-01
Obligated amount
$11,000
Agency
NASA
Customer
REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE
Recipient
REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE
Actions
1
Notices
0
Spending points
1
Bidders
0
Exact source records
1

Links

Exact Source Evidence

Exact external records already attached to this contract story.

USASpending award

1 linked

Latest Award Actions

  • Mod 02024-05-01

    Delta: $11,000 • Cumulative: $11,000

Vehicle/Engine Mapping

No vehicle mappings available.

Contract Detail FAQ

Search-first answers for this contract entity and its source identifiers.

What sources feed the contract data on this site?
Contract entities combine USAspending award references with SAM.gov-normalized procurement records (including PIID-linked actions, notices, and spending rows when available).
Why is there a canonical /contracts URL when program pages already exist?
Program pages keep mission context, while /contracts URLs consolidate duplicate contract entities into one indexable canonical URL so search engines attribute ranking signals to a single record.
Which identifiers should I search to find a specific government contract?
Use any of these identifiers: USAspending Award ID, PIID, contract key, solicitation ID, notice ID, recipient/awardee name, or agency/customer name.
How often do contract pages update?
Contract pages revalidate on a 10-minute cadence, while upstream source data refresh timing depends on ingest jobs and source-side publication timing.
What is the difference between SAM.gov and USAspending in these records?
USAspending primarily provides award and obligation visibility, while SAM.gov captures procurement lifecycle context such as solicitation notices and related action thread signals.
Why can the contract amount differ from another source?
Amounts can differ across snapshots because some sources report base award value while others include modification deltas, cumulative obligations, or later adjustments.
Can one contract appear in more than one program section?
Yes. A contract may appear in multiple program contexts; canonical entities are designed to consolidate those overlaps into a single URL for indexing and discovery.
What is a PIID on a contract detail page?
PIID stands for Procurement Instrument Identifier. It is the contracting identifier used to track related awards, actions, and notices across a procurement thread.
Where should I verify the official source record for this contract?
Use the Source record link on the contract detail page. The page also links back to the program-native detail page and, when available, the Artemis story page for thread context.
Why are actions, notices, or spending rows sometimes missing?
Missing rows usually mean no matched records were returned yet for that identifier set in the current source snapshot, not that the contract entity itself is invalid.
What exact terms should I search to verify this specific contract?
Use these identifiers in search: USASPENDING-2413618 | 2413618. Add terms like "USAspending", "SAM.gov", or the awardee name for faster exact matching.