Find out about the process for finding startup interns for summer 2013 (Dec - Feb)

1. Tin AlleyTin Alley betabeta TMTM
WelcomeWelcome

2. AgendaAgenda
PartnersPartners
What is Tin AlleyWhat is Tin Alley
beta™ ?beta™ ?
ObjectivesObjectives
Program DesignProgram Design
ProcessProcess
Key datesKey dates

3. PartnersPartners
UoMUoM: Simon Milton Chris Leckie (NICTA) Tim Miller Frank Vetere: Simon Milton Chris Leckie (NICTA) Tim Miller Frank Vetere

4. Why Tin AlleyWhy Tin Alley BETABETA
Promote techPromote tech
entrepreneurship asentrepreneurship as
career pathwaycareer pathway
Feed Local ITFeed Local IT
startup communitystartup community
Increase number ofIncrease number of
quality applicants toquality applicants to
the Melbournethe Melbourne
AcceleratorAccelerator
ProgramProgram

5. Tin AlleyTin Alley BETABETA
IT startup companyIT startup company
paid, summerpaid, summer
internship programinternship program
[ Dec ’13 - Feb ’14 ][ Dec ’13 - Feb ’14 ]
Ugrad, Pgrad,Ugrad, Pgrad,
Researchers, andResearchers, and
alumni of CISalumni of CIS
5 start-up positions5 start-up positions
CompetitiveCompetitive
selectionselection

6. Screen, identify, matchScreen, identify, match
successful startups andsuccessful startups and
studentsstudents

7. Selection panelSelection panel
Miguel Wood (chair)Miguel Wood (chair)
Catherine CurryCatherine Curry
Dave SlutzkinDave Slutzkin
Didier ElzingaDidier Elzinga
Chee FoongChee Foong

8. Phase 1 -Phase 1 -
startupstartup
selectionselection
One application perOne application per
companycompany
Criteria:Criteria:
IT startup (20%)IT startup (20%)
Melbourne basedMelbourne based
registered Australianregistered Australian
company (10%)company (10%)
Revenue positive orRevenue positive or
raised capital (15%)raised capital (15%)
Demonstrated needDemonstrated need
(25%)(25%)
Defined role or project forDefined role or project for
the intern (30%)the intern (30%)

9. Phase 2 - Pitch toPhase 2 - Pitch to
studentsstudents5 startups deliver 3-5 startups deliver 3-
minute pitch at aminute pitch at a
student informationstudent information
nightnight
Students rankStudents rank
companies (1 to 5)companies (1 to 5)
and submitand submit
applicationapplication
Ranking determinesRanking determines
student buy-instudent buy-in
But how areBut how are
students chosen???students chosen???

10. pre-Phasepre-Phase
3 -3 -
studentstudent
selectionselection
One application perOne application per
studentstudent
Criteria:Criteria:
Shipped code: openShipped code: open
source / publicly availablesource / publicly available
(20%)(20%)
Demonstrated externalDemonstrated external
designer / developerdesigner / developer
training (30%)training (30%)
Ability to workAbility to work
independently or part of aindependently or part of a
team (10%)team (10%)
Ability to articulate designAbility to articulate design
/ code excellence (30%)/ code excellence (30%)
Academic performanceAcademic performance

11. Phase 3 - startupPhase 3 - startup
interviewsinterviewsTop 15 studentsTop 15 students
shortlistedshortlisted
Panel: panel + 1Panel: panel + 1
startup companystartup company
reprep
One panel perOne panel per
startupstartup
3 students3 students
interviewedinterviewed
1 successful intern1 successful intern
to work with startupto work with startup

12. Key datesKey datesStartup applicationsStartup applications
August 28 – onlineAugust 28 – online
http://blog.getviable.com/http://blog.getviable.com/
tac/tac/
Startups notifiedStartups notified
August 30August 30
Student pitch/info sessionStudent pitch/info session
September 3September 3
InterviewsInterviews
September 20September 20
Internships announcedInternships announced
September 25September 25

13. QuestionsQuestions

15. CIS fociCIS foci
Business Information SystemsBusiness Information Systems
Geospatial engineeringGeospatial engineering
Interaction DesignInteraction Design
Distributed and Cloud ComputingDistributed and Cloud Computing
Knowledge DiscoveryKnowledge Discovery
Computational Bioinformatics and HealthComputational Bioinformatics and Health
Information SystemsInformation Systems
Optimization and Programming LanguagesOptimization and Programming Languages
Complex and Intelligent SystemsComplex and Intelligent Systems

16. BusinessBusiness TechnicalTechnical EngineeringEngineering
M. ISM. IS M. ITM. IT M. E (Software)M. E (Software)

17. Graduate - largely technical backgroundsGraduate - largely technical backgrounds
M. Eng (Software) = 75M. Eng (Software) = 75
M. IT = 140M. IT = 140
M. IS = 356 - 60% have a technical backgroundM. IS = 356 - 60% have a technical background
M. Sc (Computer Science) = 46M. Sc (Computer Science) = 46
[research track][research track]
Ugrad B. Sc.Ugrad B. Sc. Computer and Software SystemsComputer and Software Systems &&
Informatics (approx. 120 students)Informatics (approx. 120 students)
Our studentsOur students