PAPIs Latam 2019 Jun 25 - 26, 2019
CFP closed

The CFP closed on May 23, 2019 at 12:00am GMT

Thank you for all submitted proposals!

CFP Stats

56 proposals

PAPIs is the 1st series of international conferences dedicated to real-world Machine Learning applications, techniques, and tools, and it is Calling for Proposals.

Previous editions took place in Boston, Sydney, Barcelona, Paris, Valencia, London, and PAPIs Latam will be held in São Paulo for the 3rd time! It will bring together engineers, scientists, researchers, hackers and managers who will meet to share experiences and discover the latest innovations, techniques, and tools to build ML applications. Find out more at

Key dates

  • March 12 (11.59pm GMT): Call for Proposals (CfP) closes
  • March 26: author notifications
  • April 2: author confirmations due
  • June 13: final presentation info/slides due
  • June 25-26: conference takes place in São Paulo

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New techniques — June 26

  • Audience: experienced practitioners who have an advanced knowledge of ML
  • Format: 20' presentation (+ 5' for Q&A)
  • Topics: Innovations, applied research, and new ML techniques that have the potential to take the industry further. Proposals for this track will be evaluated on the basis of their novelty. They should also be technical. We encourage speakers to show code!

Engineering — June 25

  • Audience: developers, ML engineers, and ScienceOps professionals (DevOps for Data Science)
  • Format: 20' presentation (+ 5' for Q&A)
  • Topics: Discussions on the technical challenges of deploying ML systems in production, and lessons learnt from experience. We invite industry participants to describe their war stories and the architectures, pipelines, frameworks, APIs, etc., that they built to create or improve intelligent applications. Proposals for this track should be technical. They can range from ML beginner-friendly how-tos to deep dives for more experienced professionals. We encourage speakers to show code!

Tools — June 26

  • Audience: developers, engineers, scientists, technical managers
  • Format: 10' demo OR 30' tutorial (+ 5' for Q&A) — no slides or videos allowed
  • Topics: Tools and APIs that make it easier to experiment with ML, integrate it into real-world products/applications, or to deploy it at scale. We particularly welcome tools which are open source, or freely accessible. We will also select demos of proprietary tools as long as the presentations are not commercial, they are engaging, practical, or teach how to do a specific task with the tool being demonstrated.

ML in the Wild — June 25

  • Audience: everyone who's interested in the integration of ML into real-world applications
  • Format: 20' presentation (+ 5' for Q&A)
  • Topics: Presentations of ML use cases in new areas, discussions on the challenges of integrating ML into various applications/products, and lessons learnt. This can include domain-specific challenges, as well as those related to product design, transparency, privacy, fairness, accountability, ethics, etc. We would like to also encourage the community to share their failure stories — after all, you aren’t a real ML innovator until you’ve had to deal with massive failure of your ML system!

What we're looking for

We're looking for practical and focused presentations, on a wide range of experience and technicality levels. We’re looking for a diverse and creative line-up of speakers, preferably with experience in public speaking. Proposals will be blind-reviewed by our Program Committee and evaluated on the basis of their significance and/or clarity of presentation.

We'd like to strongly encourage women to submit proposals. As a community conference, we think it's important to increase diversity in ML. Applications for funding to reimburse childcare and travel costs will be invited from women and primary carers whose proposals are accepted. We're also looking for sponsors to support our diversity efforts!

Presentations should be non-commercial. A very limited number of sponsored speaking slots are also available — please contact the sponsorship team for more information.

⚠️ Please follow our tips & rules for advice on how to craft a good proposal and submit it.

The Organizing Committee

General Chair: Louis Dorard (UCL)

Lead Organizer: Ruben Glatt (USP)

Program Chairs:

  • Ana Paula Appel (IBM Research, São Paulo)
  • Daniel Nichol (Institute of Cancer Research - University of London)

Reviewers (in alphabetical order):

  • Abelardo Fukasawa (Visagio)
  • Bianca Ximenes (Universidade Federal de Pernambuco)
  • Célia Talma Gonçalves (CEOS.PP/ISCAP/P.PORTO & LIACC)
  • Daniel E. Hernández (Instituto Tecnológico de Tijuana)
  • Daniel Lopes (InfoPrice)
  • Daniele Pereira Kappes (IHM Stefanini)
  • Felipe Leno da Silva (University of São Paulo)
  • Iñigo Martinez Lopez (University of Navarra)
  • Ivan Marin (Daitan Group)
  • Izabela Paulino Fonseca (Cervejaria Ambev)
  • Jesús Ramos (Datank)
  • Leonardo Trujillo (Instituto Tecnológico de Tijuana)
  • Luis Moneda (Nubank)
  • Marisa Vasconcelos (IBM Research)
  • Natalie Lourenço Vargas (Dotz)
  • Oliver Waring (Qbiz Inc.)
  • Renato Luiz de Freitas Cunha (IBM Research)
  • Thierry Silbermann (Nubank)
  • Victor Cavalcante (Centro Universitário Salesiano de São Paulo)
  • Vitor Falleiros (Dessa)
  • Yassine Alouini (Qucit)


This website is based on rubycentral’s cfp-app. These guidelines were inspired from those of our previous conferences — many thanks to everyone who provided feedback and to all of our previous Program Chairs: Sunanda Koduvayur, Sharat Chikkerur, Francisco Martin, Florian Douetteau, Keiran Thompson, Alastair Moore, Paula Fadul, Thierry Silbermann.