testimonianza di alessandro tommasi lab innovation
TRANSCRIPT
CryptoLabTNActive links
ExpectationsObstacles
Pathways to Innovation:Academia and Industry
Alex Tomasi
University of TrentoDepartment of Mathematics
May 30, 2013
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Outline
1 CryptoLabTN
2 Active links between academia and the private sector
3 Expectations: private sector vs. academia
4 Obstacles to be overcome
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Members
1 Director: Massimiliano Sala3 Research Fellows: Riccardo Aragona, Pietro Peterlongo,
Alessandro Tomasi6 PhD students: Matteo Piva, Chiara Marcolla, Emanuele
Bellini, Marco Calderini, Federico Pintore, ClaudiaTinnirello
9 Master’s students and young graduates2 Software engineers: Lorenzo Nicolodi, Alessio Parzian2 Administration: Francesca Stanca, Elisa Cermignani
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Activities
The Lab’s main activities can be summarized as follows:
we provide several courses for cryptographers and expertsin security systems;we develop projects funded directly by private companies;we pursue academic research in fields closely linked toreal-life applications.
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Introduction
The Lab investigates two types of cryptography: Commercialcryptography
e-commerce, online banking, privacy protectionuse of standard solutions and protocolsupper bounds on security level
Cryptography suitable for defense applicationsprotection of classified informationuse of dedicated solutions and own protocolslower bounds on security level (provable security)
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Active links between academiaand the private sector
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Stage
Students spend a continuous period of time at a company’soffice.
Requirements : adequate provision of facilities at thecompany’s site
Pros : allows the company to integrate the student inday-to-day routine over a period of time
Cons : the experience can be somewhat disjoint fromacademic studies
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Internships
Students spend some of their time at a company’s office, andsome working at dedicated stations at their academic homeinstitution.Requirements : adequate provision of facilities at both sites
Pros : allows the student to use research tools on thejob and discuss problems immediately with bothprofessional and academic staff
Cons : requires more careful management of tasks andexpectations
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
PhDs
Companies can provide the funds for a student’s PhD if thestudent is willing to spend a significant amount of time, e.g. 12months, working at the company’s premises.Requirements : a company with sufficiently complex needs,
either due to scale or advanced technology, e.g.finance, energy, software
Pros :allows the company to have access todedicated cutting-edge scientific research fora long period of time;allows the student to acquire highly valuablework experience
Cons : requires negotiation of property rights anddisclosure agreements; requires balancing thecompany’s goals with research objectives
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Research contracts I
A company commissions a specific piece of research orsoftware.
Requirements : a company with sufficiently specific andspecialised needs
Pros :allows the company to have access tocutting-edge scientific research withoutnecessarily devoting facilities or man-hours tothe task;allows the student to acquire highly valuablework experience and teamwork skills
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Research contracts II
Cons :requires negotiation of property rights anddisclosure agreements;requires commitment to a commercialcontract that must be honoured on pain oflegal recourse;requires the company to bear the fullcommercial risk;requires careful management of tasks andexpectations;requires public contracts if specific hires arenecessary
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Expectations: private sectorvs. academia
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Private sector I
Concreteness : Give specific answers to the right degree ofdetail; don’t just state something may be possiblein theory, say what it would take to achieve aspecific goal and whether it would make anysense to try
Quantitative measures : applied problems require exactanswers; be mindful of constants and orders ofmagnitude
Time management : meet deadlines; don’t promise more thanyou can deliver; prepare for delays
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Private sector II
Hands-on approach : prioritise solutions that work overelegant and comprehensive ones; be ready to takeon responsibility and solve problems yourself, e.g.by writing your own code
Professional attitude : take responsibility for your decisions,for better or worse; keep the promises you makeand never leave something unfinished; admit toyour mistakes and fix them in the shortest possibletimeframe
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Academia I
Negative results : Proving something is not possible is just assignificant a result as the opposite
Research needs to be published... : At least some of themoney spent by the company will contribute tofreely available information, but truly original ideascan lead to valuable intellectual property
... but published research is not infallible : even if you don’taim for original research but simply implementsomething published by others, methods thatallegedly perform well in academic tests may notfare well when applied to real-world data
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Obstacles to be overcome
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Lack of information I
First and foremost, this is the greatest problem to be overcomein all its facets: both the private sector and academia aresusceptible to it. Here are some concrete examples and a fewsuggestions on how to solve it.
Private sector :The company does not even realise it has aproblem.The company has no idea academia cansolve their problems without buying somethingoff-the-shelf or calling in a consultancy firm.
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Lack of information II
Academia :The institution does not know whichcompanies operate in the vicinity.The company has no idea academia cansolve their problems without buying somethingoff-the-shelf or calling in a consultancy firm.
Common : sources of funding.
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Establishing channels I
The best way to overcome a lack of information is to establishchannels through which it can be spread, from one-to-onechannels to comprehensive forums.
Conferences : organised by either academia or the privatesector, regular events encourage participation
Courses : highly specialised and intensive events, one dayor at most a week
Consortia : some business categories form consortia whoseentire reason for being is to provide services to thecategory that funds them, among which spreadingawareness of resources for problem-solving isprominent
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Establishing channels II
Career fairs : inviting companies to participate inend-of-academic-year career events makes themaware of graduates’ skill sets
Successful collaborations : past performance is not areliable indicator of future returns - but it is greatfor spreading word-of-mouth!
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Sources of funding I
These largely depend on local arrangements and are highlythematic, but some noteworthy ones include:
Public interest, regional : foundations (financial orotherwise), regional government, region-specificnational funds
Entrepreneurial : Start-up and spin-off funds are sometimesavailable from universities or business chambers
EU : a multitude of options, from individualscholarships to projects involving a dozencompanies - these all have trans-nationalrequirements
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Bureaucracy I
Another major hurdle to overcome is pervasive and perniciousbureaucracy, to which the only permanent solution is successfullobbying against red tape. Meanwhile, mitigation strategies areessentially based on careful planning to address the followingrisks:
Taxes : transactions are taxed at every level, includingcuts taken on contracts by departments andcolleges
Hiring : if a project requires a specific skill-set, such assoftware development in a certain language, aformal hiring process may take time and imposeunrealistic requirements on candidates
Alex Tomasi Industrial Math Lab
CryptoLabTNActive links
ExpectationsObstacles
Bureaucracy II
Proliferation of signatories : Ensure you know how manylayers of approval are required to pass a contractbefore you agree on a deadline with companies.
Intellectual Property : European law states that IP derivedfrom research contracts belongs to the companiesfunding the research. Have this argument withyour university’s IP office before drafting thecontract.
Enterprise risk : Italian law states that as universities run onpublic funds, they cannot bear enterprise risk - inother words, anyone signing a contract withacademia must pay up, as long as work hasdemonstrably been done, regardless of theoutcome of the research.
Alex Tomasi Industrial Math Lab