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Conferences / ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

KDD 2024 (30th ACM SIGKDD Conference)

Aug 25–29, 2024 · Centre de Convencions Internacional de Barcelona (CCIB), Barcelona, Catalonia, Spain

Conference
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) Data science & ML
Dates
Aug 25, 2024 – Aug 29, 2024
Venue
Centre de Convencions Internacional de Barcelona (CCIB)
Place
Barcelona, Catalonia, Spain
Format
In person
Status
Past
Attendance
—
Website
kdd.org
Recorded
32 sponsors · 11 speaker appearances
Notes
speakers: keynotes + ADS invited talks only. Fees shown in $ on the site. ADS titles only where the page lists one. Sponsors: one entry per company at its highest listed role.

Ticket prices

TicketPriceValid untilNotesSource
Full conference, student (early bird)$500Jul 10, 2024kdd.org
Full conference, SIGKDD/SIGMOD/AAAI/ACM member (early bird)$1,000Jul 10, 2024kdd.org
Full conference, non-ACM/SIG member (early bird)$1,250Jul 10, 2024kdd.org
Full conference, student (standard)$600Aug 24, 2024kdd.org
Full conference, SIGKDD/SIGMOD/AAAI/ACM member (standard)$1,250Aug 24, 2024kdd.org
Full conference, non-ACM/SIG member (standard)$1,500Aug 24, 2024kdd.org
One-day conference (all types)$600—kdd.org
Full conference, student (onsite)$700—kdd.org
Full conference, SIGKDD/SIGMOD/AAAI/ACM member (onsite)$1,500—kdd.org
Full conference, non-ACM/SIG member (onsite)$1,750—kdd.org

Sponsors 32

Title / headline 1

Platinum 2

Other 12

Speakers and talks 11

SpeakerCompanyRoleTalkLinks
Sanjeev AroraPrinceton UniversityKeynoteFrom Word Prediction to Complex Skills: Compositional Thinking and Metacognition in LLMs—
Tanya Berger-WolfThe Ohio State UniversityKeynoteAI for Nature: From Science to Impact—
Xihong LinHarvard UniversityKeynoteEmpower an End-to-End Scalable and Interpretable Data Science Ecosystem using Statistics, AI and Domain Science—
Alex JaimesDataminrADS invited talk——
Dragos MargineantuBoeingADS invited talk——
Haixun WangInstacartADS invited talk——
Hema RaghavanKumoADS invited talkScalable Graph Learning for your Enterprise—
Michael MaySiemensADS invited talkResearch Challenges in Industrial AI – from engineering design to shopfloor operations—
Pedro BizarroFeedzaiADS invited talkLessons learned while running ML models in harsh environments—
Ricard GavaldàUniversitat Politècnica de Catalunya / Amalfi AnalyticsADS invited talk——
Xin Luna DongMetaADS invited talk——

Sources