Datahack@Yale

February 18-19, 2017

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Challenges

Yale Policy Lab

McChrystal Group

Goldman Sachs

Schedule

Saturday, February 18
8:00 amRegistration and breakfast: 17 Hillhouse Avenue, 1st floor
8:30 amWelcome and introduction of mentors
9:00 amSteve Weston will give introduction to Yale’s High Performance Computing (HPC) cyberinfrastructure
9:30 amSponsor challenge quick pitches: each sponsor will have 60 seconds to “sell” their challenge to participants
9:45 amBreak off to pick challenge
10:00 amSponsors give 30-minute orientation to challenge question and data set
10:30 amGet to work!
12:00 pmLunch, served on the 3rd floor
3:00 pmSnack and entertainment (3rd floor)
6:00 pmDinner, served on the 3rd floor
6:00-8:00 pmCheck-in with mentors (Please note, mentors are welcome but not expected to stay between 8:00pm on February 18 and 8am on February 19.)
11:45pmPizza! Served on the 3rd floor
Sunday, February 19
7:30 amBreakfast
8:00 amData visualization introduction presented by Jessica Helfand; introduction to design mentors
8:45 amTeams get to work on data visualizations
12:00 pmLunch
1:00 pmTeam presentations begin, 5-8 minutes each
2:30 pmJudging huddle/Plasma Car Race (Judges are Professor Daniel Spielman (Yale), Paul Datta (Tata) and Kiran Keshav (Yale))
3:00 pmAwards ceremony
4:00 pmDONE! Stay for happy hour!

Sponsors

About the Datahack

The primary function of this event is to bring together junior scholars from all levels (undergraduate, graduate, and postdoctoral) who are interested in network science, know the tools and methods, and want to solve problems and produce useful insights in a highly collaborative and dynamic environment. The purpose of the datahack is to identify who can best answer questions without getting lost in the data. Day two of the event (February 19) will be devoted to data visualization: visualizing team solutions with the help of design mentors, and judging the best project solutions. Students are invited to use their skills on real-world problems in need of real solutions using data sets provided by sponsors.

Network science is the study of the structure and function of graphs, networks, and other network data. It involves the collection, management, analysis, interpretation, and presentation of network data. The field of network science aims to develop new tools and techniques to answer questions about interconnected data. Network data poses unique analytic challenges, and network scientists leverage many data analysis methods to answer questions about the interconnected world.

Who will be there?

50 participants from Yale and other academic institutions.

Resources

Network Science Research at Yale includes:

Technological networks

  • Designing and improving communication protocols and networks, both wired and wireless
  • The optimization of emerging network architectures including heterogeneous wireless networks, caching networks, and software defined networks
  • The development of algorithms for predicting the performance of networks
  • The design of fast algorithms for analyzing large network data sets

Social and biological networks

  • The social and mathematical rules governing how social networks form (“connection”)
  • The implications of how networks influence thoughts, feelings, and behaviors (“contagion”)
  • Social network implications for health, crime, and pro-social behavior
  • The modeling and analysis of intracellular processes by regulatory networks
  • Neural networks

Theoretical advances in network science

  • Machine learning
  • Deep networks
  • Bayesian network analysis

Frequently Asked Questions

When will Datahack@Yale take place?
Datahack@Yale 2017 will be Saturday, February 18, and Sunday, February 19, 2017.
Where will the Datahack@Yale be held?
17 Hillhouse Avenue, New Haven, CT 06511
Where should I park?
Parking is available in lot 30, right next to 17 Hillhouse Avenue (enter from Hillhouse).
Where does the data come from?
Datasets have been gathered from multiple sources and is publically available, and/or contributed by the Yale community or academic collaborators, or has been provided by sponsoring corporations.
Are the data sets publically downloadable or only for registered participants?
Data will only be made available to registered/attending participants. Some data sets used for the datahack may be publically available already.
Who can come?
Anyone currently affiliated with a University is eligible to attend with confirmed registration.
Not affiliated but still want to participate? Go ahead and register, but send us an email explaining your circumstances. Decisions will be made on a case-by-case basis.
How do teams work?
We encourage people to work in teams of up to four. If you can't find a team beforehand, worry not - we'll match you based on skills.
What should I bring?
  • A valid ID, preferably a University ID
  • Laptop and charger
  • Cellphone and charger
  • Sleeping bag
  • Small pillow
  • Toiletries (Toothbrush, toothpaste, deodorant, etc.)
  • Towel (there is a single person shower on the 3rd floor at 17 Hillhouse in room 307)
  • Extra clothes
  • Optionally:
    • Power­bar
    • Ethernet cable
    • USB key
How much does it cost to attend?
Attendance is 100% free, and includes food, drinks, and free swag.
What about travel?
If you’re coming from outside the New Haven area, we may be able to cover your expenses. Email us at datahack@yale.edu
Will there be a place to sleep?
We will have dedicated rooms for sleeping(room 220 for women, room 233 for men, room 335 for everyone/anyone). Pick the room that suits you best. Just bring a sleeping bag or an airbed with you.
What do I do with all my stuff?
Room 332 at 17 Hillhouse is a luggage room.
What can I win?
Prizes and respect.
More questions?
You can email us anytime at datahack@yale.edu

Contact Us

For more information, please contact us at datahack@yale.edu