Theme and format
The Fifth Elephant 2017 is a four-track conference on:
- Data engineering – building pipelines and platforms; exposure to latest open source tools for data mining and real-time analytics.
- Application of Machine Learning (ML) in diverse domains such as IOT, payments, e-commerce, education, ecology, government, agriculture, computational biology, social network analysis and emerging markets.
- Hands-on tutorials on data mining tools, and ML platforms and techniques.
- Off-the-record (OTR) sessions on privacy issues concerning data; building data pipelines; failure stories in ML; interesting problems to solve with data science; and other relevant topics.
The Fifth Elephant is a conference for practitioners, by practitioners.
Talk submissions are now closed.
You must submit the following details along with your proposal, or within 10 days of submission:
- Draft slides, mind map or a textual description detailing the structure and content of your talk.
- Link to a self-record, two-minute preview video, where you explain what your talk is about, and the key takeaways for participants. This preview video helps conference editors understand the lucidity of your thoughts and how invested you are in presenting insights beyond your use case. Please note that the preview video should be submitted irrespective of whether you have spoken at past editions of The Fifth Elephant.
- If you submit a workshop proposal, you must specify the target audience for your workshop; duration; number of participants you can accommodate; pre-requisites for the workshop; link to GitHub repositories and documents showing the full workshop plan.
About the conference
This year is the sixth edition of The Fifth Elephant. The conference is a renowned gathering of data scientists, programmers, analysts, researchers, and technologists working in the areas of data mining, analytics, machine learning and deep learning from different domains.
We invite proposals for the following sessions, with a clear focus on the big picture and insights that participants can apply in their work:
- Full-length, 40-minute talks.
- Crisp, 15-minute talks.
- Sponsored sessions, of 15 minutes and 40 minutes duration (limited slots available; subject to editorial scrutiny and approval).
- Hands-on tutorials and workshop sessions of 3-hour and 6-hour duration where participants follow instructors on their laptops.
- Off-the-record (OTR) sessions of 60-90 minutes duration.
- Proposals will be filtered and shortlisted by an Editorial Panel.
- Proposers, editors and community members must respond to comments as openly as possible so that the selection processs is transparent.
- Proposers are also encouraged to vote and comment on other proposals submitted here.
We will notify you if we move your proposal to the next round or reject it. A speaker is NOT confirmed for a slot unless we explicitly mention so in an email or over any other medium of communication.
Selected speakers must participate in one or two rounds of rehearsals before the conference. This is mandatory and helps you to prepare well for the conference.
There is only one speaker per session. Entry is free for selected speakers.
Partial or full grants, covering travel and accomodation are made available to speakers delivering full sessions (40 minutes) and workshops. Grants are limited, and are given in the order of preference to students, women, persons of non-binary genders, and speakers from Asia and Africa.
Commitment to Open Source
We believe in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like for it to be available under a permissive open source licence. If your software is commercially licensed or available under a combination of commercial and restrictive open source licences (such as the various forms of the GPL), you should consider picking up a sponsorship. We recognise that there are valid reasons for commercial licensing, but ask that you support the conference in return for giving you an audience. Your session will be marked on the schedule as a “sponsored session”.
- Deadline for submitting proposals: June 10
- First draft of the coference schedule: June 20
- Tutorial and workshop announcements: June 20
- Final conference schedule: July 5
- Conference dates: 27-28 July
For more information about speaking proposals, tickets and sponsorships, contact email@example.com or call +91-7676332020.
Data in drug discovery
Data is being used to solve some of the greatest challenges in medicine today. Advances in technology mean that scientists have access to data that was impossible to acquire just 5 years ago. Modeling and analysis are driving improved understanding about how our bodies work. This in turn is helping scientists find cures for deadly diseases. Curing diseases now requires combined efforts of data scientists, software developers, computational biologists and experimentalists.
Our talk will focus on the role of data in biology and medicine. We will walk through the process of discovering a new drug and how data is embedded at every step of this process.
Our aim is to introduce engineers & data scientists to a new domain and encourage them to contribute to the advancement of science and human health.
- Introduction to the problem
- Brief overview of drug discovery process
- What do data in drug discovery mean?
- Story: From an idea to a pill
- A broken car with billions of parts - biology works at many levels and the origin of a disease is narrowed down
- What is wrong with the radiator? - After identifying the origin of the disease, the kind of defect needs to be investigated
- How do you fix the car? - Model the biological system, use the data to create a biological story and treat
- The age of data in biology and medicine
- Data is being acquired at unprecendented levels
- Scientists need you to solve these problems - success is at the crossroads of computer science, maths, biology, and design
Curiosity to learn, passion to make an impact
Swetabh Pathak: Swetabh leads technology and operations at Elucidata. He wants to build a new kind of company which leverages technology to drive drug discovery. Prior to co-founding Elucidata, he has been a founding member at start-ups in technology and affordable STEM education. He completed his undergraduate and masters degrees in Mathematics and Computer Science from IIT Delhi.
Shefali Lathwal: Shefali leads research efforts on metabolic flux at Elucidata. She is passionate about using technology to help people and challenging herself to learn new things along the way. She holds a Ph.D. and M.S. in Chemical Engineering from MIT, and B.Tech. & M.Tech. in Chemical Engineering from IIT Delhi.