4th International Conference on Predictive Applications and APIs — October 24-25, 2017 - Boston
If you have not heard about the status of your submission, please contact us.
We are calling for proposals of non-commercial presentations, contributed by the community. Proposals are peer reviewed by our Program Committee.
This year we are specifically aiming to increase the number of female speakers from 23% last year to a target of 33%. Applications for funding to reimburse childcare and travel costs will be invited from women and primary carers whose proposals are accepted.
Please read the guidelines below and click on the Submit button on the right to submit your proposals.
(Please note that this is separate from the Call for Proposals)
We are calling for innovative startups that use ML and AI at their core, to compete in our unique startup competition where the jury is an AI.
See more here.
PAPIs '17 is the 4th International Conference on Predictive Applications and APIs, returning to Boston on October 24-25, 2017 and featuring technical presentations, business talks, hands-on tutorials and demos (tools, use cases).
PAPIs is a series of independent community conferences, dedicated to the application of ML to real-world problems to create intelligent applications. The audience is a mix of developers, software engineers, data scientists, machine learning engineers, researchers, decision makers, managers, strategists and innovators. Previous PAPIs conferences took place in Boston, Sydney, Barcelona, Paris and Valencia.
“PAPIs is really about bringing machine learning into use” — Danny Lange, VP of AI and ML at Unity
Please read these guidelines all the way through for the best chance of having your proposal selected. If you have questions or concerns about anything you see here, please don’t hesitate to email us at email@example.com. We’re looking forward to receiving your best proposals!
Presentations at PAPIs are 20-minute long, plus 5 minutes for Q&A. It may seem like a short time, but it allows for dynamic and focused talks that keep the audience engaged.
We'd like to hear about:
We welcome practical presentations on a wide range of experience levels — from beginner-friendly how-tos to cautionary tales to deep dives for experienced professionals. We’re looking for a diverse and creative line-up of speakers, preferably with experience in public speaking.
We will be receiving several proposals covering the same topics. They will be evaluated by our Program Committee on the basis of their novelty and/or significance and/or clarity of presentation. Reading the following will help you craft a proposal that stands out.
Attendees have different levels of experience — from totally new to very experienced. Start by identifying your main audience and the level of your talk. Your presentation should either directly help them, or inspire/inform them about something they don’t already know. The core value to our attendees of what you’re presenting should be clearly stated in your proposal. What will they be able to do after they see your presentation that they can’t do now?
We believe that great presentations should be practical and focused. For instance, instead of presenting something general or showing a portfolio of things you / your company have done, it’s better to show one specific, unique thing in enough detail.
A few more remarks:
Our proposal form has two fields that attendees will see on the program (title and abstract), and two fields that only reviewers will see (details and pitch). Please also use tags for reviewers to identify the type of proposal you’re submitting. It is possible to submit several proposals through our CfP application. Note that we have a policy of not having more than 2 talks from speakers from the same company, in an effort to promote different approaches to ML applications at the conference.
These are what attendees will see in the program. Title and abstract should be compelling and to-the-point. Tell a story. Why should attendees come to your presentation and what will they get out of it?
Your bio won’t be seen by reviewers in the 1st round of reviews but we will use it when advertising your presentation if it is accepted. Please include your current position and organization.
Only reviewers will see this. Please take care here to refrain from identifying who you are since our first round of review is blind, and we appreciate your efforts to respect that as much as possible.
Details is a good place to go into more depth about what you’ll cover and to be as specific as possible on the content of your presentation. We invite you to...
Please also let us know...
Only reviewers will see this. Pitch is a good place to tell reviewers why PAPIs needs this presentation, and why you’re the right person to give it at PAPIs. How will your presentation help the program, or fill a specific need? Why are you excited about this topic?
Please assign multiple tags to help us identify how technical your presentation will be (Non-Technical, Somewhat Technical, Mostly Technical) and the required ML knowledge (Beginner, Intermediate, Advanced).
Attaching a report or paper to your proposal is optional but it's a huge plus for getting it accepted. We will also publish final accepted papers in our proceedings in the Journal of Machine Learning Research (see our 2016 and 2015 proceedings as an example).