Hacknology - data science for everyone!

Hacknology is a data science hackathon brought to you by WiCyS club @ Hofstra University.

Get a chance to challenge yourself, collaborate with others, win cool prizes, and, of course, have fun!

IMPORTANT

please read the information below before applying

Hackathon is limited to Hofstra University undergrad and grad students!
All prizes will be given out in-person

Introduction
WiCyS club is thrilled to announce Hacknology 2024, an online Data Science Hackathon designed to inspire innovation and cultivate the analytical talents of Hofstra students. This fully remote event allows participants to dive into the dynamic world of data science and emerge with practical, impactful solutions.
Event Details

• Dates: April 19th - April 22nd, 2024 - Venue: Online (Fully Remote)
• Hacknology Opening Ceremony:
• When: 04/19
• Where: PLAZA middle & east
• Time: 6:00 PM – 7:30PM
• Results – TBA (a week from last day of competition, approximate date: 04/29)

Eligibility

• Open exclusively to Hofstra University students (undergraduate and graduate, any major). - Beginners are encouraged to participate.
• Teams can consist of 1 to 3 members.

Requirements

• Projects must be functional to be eligible for prizes.

Participation Rules

• The WiCyS club reserves the right to extend both the submission deadline and the winner announcement date.
• Only Hofstra University students are allowed to participate. No external entries will be considered.

Code of Conduct

• Participants must maintain a respectful and professional demeanor at all times. - Harassment of any kind will not be tolerated.

Intellectual Property

• All submitted work must be original. No plagiarism or use of unauthorized materials will be tolerated.
• Participants retain ownership of their projects, but by entering the hackathon, they grant WiCyS club the right to use their projects for promotional purposes.

Judging Criteria

Creativity: Novelty of the idea and approach.
Execution: Functionality and technical implementation. Impact: Potential real-world applicability and usefulness. Presentation: Clarity and persuasiveness of the pitch.

Technical Requirements

• Projects must be developed during the hackathon period. Pre-existing projects are not permitted. - Use of open-source libraries is allowed, provided they are properly credited.

Team Collaboration

• Participants must work in their registered teams. No switching teams mid-event. - Collaboration among teams is not permitted.

External Assistance

• Teams are not allowed to outsource work to non-team members.
• Mentors will be available, but they can only provide guidance, not direct code contributions.

Code of Ethics

• Participants must commit to ethical hacking practices. Projects designed to cause harm, violate privacy, or engage in illegal activities will result in immediate disqualification.
• Follow ACM code of ethics as well ( https://www.acm.org/code-of-ethics )

Compliance with University Rules

• Participants must also adhere to all Hofstra University policies regarding student conduct, especially those related to online behavior.

Emergency Situations

• In the event of technical diBiculties or unforeseen circumstances, participants should immediately notify the organizers.

Disqualification

• The organizers reserve the right to disqualify any team that breaches the rules or engages in behavior deemed unethical or unfair.

Prizes

1ST BEST OVERALL

• HP Laptops
• Backpacks
• $25 Amazon Gift Card
  2ND BEST OVERALL
• Smart Bottle
• Portable Charger (Power Bank) - $25 Amazon Gift Card

SPECIAL TRACK PRIZES

SPORTS HACK

• Headset
• $25 Amazon Gift Card

HEALTH HACK

• Sunrise Alarm Clock
• $25 Amazon Gift Card

TRAVEL HACK

• Amazon Fire Tablet
• $25 Amazon Gift Card

FINANCE HACK

• JBL Go 3 Speaker
• $25 Amazon Gift Card

Get ready to code, create, and compete for these exciting rewards!

For more information and to sign up, please refer to the attached poster and scan the ǪR code for direct access to the registration and detailed event guidelines. Embrace this chance to showcase your skills, learn from your peers, and possibly walk away with not just new insights, but fantastic prizes as well. We can’t wait to see what innovative solutions you bring to the world of data science!