You don't have to be a data scientist,
or to have a team! What are you waiting for? :)

Register now!

Registration closes on September 8th!

days hours minutes seconds

What is DataHack?

DataHack is the first data-driven hackathon in Israel, designed to bring together the Israeli data community. The hackathon is a 48-hours event where data enthusiatic programmers, designers and researchers combine their skills to build innovative solutions for real world problems.

Registration is open to all, but applications will be carefully reviewed for skills and experience. Participants may form teams of up to 5 people, and will have complete freedom selecting data, tools, and project ideas.


Information for participants

Participants will be chosen based on experience, skills and diversity criteria. Here are the basics:


Hansen House - Center for Design, Media and Technology. Gdalyahu Alon 14, Jerusalem.


DataHack is all about data. Every project is required to have processing and/or analysis of some interesting data at its core. It can be a machine learning algorithm, a statistical analysis or producing deep insights automatically with data mining techniques.


The event will take place between Wednesday, 15:30, September 21st and Friday, 13:30, September 23rd, 2016.


Registration to the event is open to all - students, researches, designers and industry professionals. Teams of up to 5 people may register.
Register here!


We will provide you with different data sets from our sponsors, partners and online sources, but you are free to bring your own data. Have a data-related question?
Contact our data team at


Besides a yearly hackathon, DataHack is also a vibrant community of data scientists and machine learning experts in which you can take part through our Facebook page, the DataTalks meetup series and our newsletter!



6000 NIS


3000 NIS


1500 NIS

Best social impact
project award

Intel Israel will be giving an ASUS ZenPad 10 tablet to each member of the team whose project most effectively utilizes machine learning or data science to address a social issue!


- Final -
Bose QuietComfort 35 headphones (for each team member)

- Wix -
Amazon Echo (for each team member)

- Windward -
Coming soon!

Best solo
project award

The person in charge of the best solo project of DataHack 2016 will win one of Varidesk's adjustable standing desks!

The Judges

Prof. Yair Weiss

Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem

Prof. Naftali Tishbi

Benin School of Engineering and Computer Science & The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem

Dr. Waks Zeev

Senior Data Scientist,
Intel Advanced Analytics

Yaniv Feldman

Editor in Chief & COO,

Dr. Yuval Benjamini

Department of Statistics,
The Hebrew University of Jerusalem

Josh Gottesman

Partnerships Manager,
MassChallenge ​Israel


    Some of our sponsors will provide you with specific prize challenges. Check them out!

  • Challenges

  • Data sets

    Teams participating in DataHack are free to use any data set open for public use or for which they have free access. However, we also want to offer you a curated list of data sets for you to consider.

  • Data sets

Data Challenges

Some of our sponsors will provide you with specific prize challenges.

A taxi goes from Chinatown to Times Square. How long will it take to arrive?

Try and predict user behavior on the Wix platfrom from user action history.

Love the oceans? Try and make sense of data on ship movement worldwide.

Check them out!


Sponsor Us!

Considering becoming a sponsor?
We’re glad to hear! Shoot our sponsoring team an email at and we will work with you to find the a solution that fits your company.


Our team

Shay Palachy LinkedIn


Inbar Naor LinkedIn


Dima Yarovinsky LinkedIn

Design & Marketing

Ido Ivri LinkedIn


Dafna Rosenbloom LinkedIn

Content & Schedule

Noga RotmanLinkedIn

Logistics & Finance

Nitzan GubermanLinkedIn

Data Team

Asaf ValadarskyLinkedIn

Data Team

Stay Tuned

Our newsletter is an easy way to get a curated list of data science and
machine learning related news and events, including events by DataHack, like the DataTalks meetup series.