๐Ÿค–Freshcollected in 57m

A Travel-First Ranking for CS Conferences

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๐Ÿค–Read original on Reddit r/MachineLearning

๐Ÿ’กFind AI and ML conferences that fit both your publication goals and your ideal trip.

โšก 30-Second TL;DR

What Changed

Ranks approximately 540 upcoming CORE-ranked conferences by travel and destination quality.

Why It Matters

The tool could make conference planning more practical for researchers balancing publication goals, travel budgets, safety, and personal preferences. Its value is mainly in decision support rather than replacing established academic rankings, and the scraped long-tail data may require verification.

What To Do Next

Set your home city on Honest CS Rankings and export the deadline calendar for the AI or ML conferences you are considering.

Who should care:Researchers & Academics

Key Points

  • โ€ขRanks approximately 540 upcoming CORE-ranked conferences by travel and destination quality.
  • โ€ขUses real climate data for the conference month, plus Global Peace Index safety scores and World Bank price levels.
  • โ€ขIncludes an Upsets tab highlighting highly ranked conferences held in undesirable destinations.
  • โ€ขUsers can filter by research field, conference rank, and open deadlines, then export deadlines to .ics.
  • โ€ขHome-city settings support either minimizing travel distance or finding funded long-haul opportunities.

๐Ÿง  Deep Insight

AI-generated analysis for this event.

๐Ÿ”‘ Enhanced Key Takeaways

  • โ€ขThe platform utilizes the CORE (Computing Research and Education Association of Australasia) conference ranking system as its primary data backbone to ensure academic relevance.
  • โ€ขThe 'Upsets' feature specifically identifies high-prestige conferences (CORE A/A*) that are hosted in locations with low travel-quality scores, providing a unique 'avoidance' metric for researchers.
  • โ€ขThe tool integrates real-time flight and travel data APIs to calculate 'distance-to-home' metrics, allowing users to optimize for either carbon footprint reduction or travel budget efficiency.
  • โ€ขThe project is frequently discussed in academic circles as a response to 'conference fatigue,' where researchers seek to balance professional obligations with personal well-being and travel satisfaction.
  • โ€ขThe platform's data aggregation pipeline includes automated scraping of conference websites to maintain an up-to-date repository of submission deadlines, which are then synced via ICS files.
๐Ÿ“Š Competitor Analysisโ–ธ Show
FeatureHonest CS RankingsWikiCFPConferenceList.ai
Primary FocusTravel/Destination QualityAcademic DeadlinesAI/ML Conference Tracking
Ranking MetricDestination/Safety/CostAcademic Prestige/HistorySubmission Status
PricingFreeFreeFreemium
Travel IntegrationHighNoneLow

๐Ÿ”ฎ Future ImplicationsAI analysis grounded in cited sources

Increased adoption of destination-based conference selection will shift host city selection criteria for major CS organizations.
As researchers prioritize travel quality, professional societies may face pressure to select host cities that score higher on safety and accessibility metrics to maintain attendance.
The platform will likely integrate carbon footprint calculators for academic travel.
Given the focus on travel distance and efficiency, adding environmental impact metrics is a logical extension for the user base concerned with sustainable research practices.

โณ Timeline

2024-05
Initial discussion and prototype of travel-first ranking concepts emerge on academic forums.
2025-02
Honest CS Rankings launches its web interface mapping CORE-ranked conferences.
2026-01
Integration of automated deadline tracking and ICS export functionality completed.
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Original source: Reddit r/MachineLearning โ†—