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iTrade Wildlife - software to detect illegal wildlife sales

iTrade Wildlife - software to detect illegal wildlife sales
iTrade Wildlife - 检测非法野生动物销售的软件
批准号:
NE/L00075X/1
负责人:
David Roberts
金额:
$1.98万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --

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中文摘要
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英文摘要
The work to be undertaken will explore the critical pathways needed for the successful commercialisation of the iTrade software and development of a Follow-On proposal. This will be achieved through the use of a business consultant to address the following areas and potentially identify others, which we may not have been identified. Specifically1. Legislation & regulatory requirement related toa setting up partners/equity & company eg tax implicationsb product's use eg use of automated systems by policec service provision/contractual agreements with clients2. Market Researcha Understanding competitor base eg marketing strategy & offer to customersb Understanding customer base eg levels of provision/service to client & charges (organisation's budget constraints)3. Product Research & Developmenta Potential for expansion of iTrade into other regionsb Potential for expansion of service/product into other areas of illegal trade4. Business Statusa Inform the discussion to agree vision, equity & relationship between the PI, co-PI, the School, University & other university employees with whom we have collaboration related to the productb Establish & progress shape of business. When this should occur and in what form eg consultancy, Community Interest Company, Limited Companyc Produce Business Plan5. Branding & trademarking of product/companyImpact Summary: The illegal wildlife trade is 4th only to narcotics, human and counterfeiting in terms of transnational trafficking, and estimated to be worth $19-26.5billion pa. The UN recognised by consensus that environmental crime as an emerging form of transnational organised crime requiring a greater response by governments. At the University of Kent, we have developed software, 'iTrade', that automatically identifies illegally traded items with 90% accuracy, generating reports every 10mins. Normally the identification of cybercrime of this form involves law enforcement officers simply going through thousands of web pages by hand. iTrade goes through all these pages automatically weighting them as more or less likely to be illegal, saving officers a significant amount of time. For example a fulltime MSc student spent 6 weeks searching eBay and found 199 items of elephant ivory sold in that time. This could be done automatically with the software in a fraction of the time.The business model we envisaged following is that used in the biotechnology industry where companies provide a service of building 'enriched' molecular libraries thereby saving researchers a considerable time; in our case we will provide users with 'enriched' lists of illegal items for sale from sources under investigation. The licensing and exploitation will therefore be costed on the basis of the licensees trading platform. In other words we retain the software and provide an intelligence service. While we will start with illegal wildlife trade, the service could be easily expanded into other forms of illegal cybertrade.We already have established partners, and therefore a customer base, in the Police (National Wildlife Crime Unit), UK Border Force and the International Fund for Animal Welfare with whom Dr Roberts has been working with for over 10 years. Further discussions have already taken place with the Dutch police force regarding the service. As far as our partners and we are aware such a product or service does not exist.The PI has limited experience of commercialisation, although it should be noted that the University of Kent has a dedicated business engagement department and Technology Transfer Office. For the PI and co-PI therefore there are a number of 'known unknowns' regarding commercialisation and probably many 'unknown unknowns.' The Pathfinder would allow us to address questions associated with legal, financial, business and marketing aspects of our product essential for its successful commercialisation, through the development of a Follow-on Funding proposal.
期刊论文(2)
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会议论文
DOI: 10.7717/peerj-cs.10
发表时间: 2015-07-01
期刊: PEERJ COMPUTER SCIENCE
影响因子: 3.8
作者: [Hernandez-Castro, Julio, Roberts, David L.]
通讯作者: Roberts, David L.
DOI: 10.7717/peerj.3048
发表时间: 2017
期刊: PeerJ
影响因子: 2.7
作者: [Yeo LM, McCrea RS, Roberts DL]
通讯作者: Roberts DL
EAGER: Formal Models of Trainer Feedback for I-Learning Theoretical Guarantees
  • 批准号:
    1643411
  • 项目类别:
    Standard Grant
  • 资助金额:
    $7.0万
  • 财政年份:
    2016
  • 负责人:
    David Roberts
  • 依托单位:
RUI: Hurwitz Number Fields
  • 批准号:
    1601350
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $14.0万
  • 财政年份:
    2016
  • 负责人:
    David Roberts
  • 依托单位:
Twenty-First AAAI/SIGAI Doctoral Consortium
Greenland in a warmer climate: What controls the advance & retreat of the NE Greenland Ice Stream
  • 批准号:
    NE/N011228/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $71.31万
  • 财政年份:
    2016
  • 负责人:
    David Roberts
  • 依托单位:
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