The European Border and Coast Guard Regulation entrusts Frontex to ensure European Integrated Border Management (EIBM) at the external borders of the European Union, with the overall aim to tackle irregular migration and cross border illicit activities. These objectives are pursued also thanks to the establishment of the European Border Surveillance system (EUROSUR). The EUROSUR system includes a set of services, including the EUROSUR Fusion Services, which embeds the Copernicus Border Surveillance Service (CBSS) namely, Earth observation services and products using geospatial technology for border monitoring purposes.
Copernicus is the Earth Observation component of the EU Space programme, looking at our planet and its environment to benefit all European citizens, their wellbeing and security. Copernicus services process, analyse, transform, and exploit the wealth of satellite and in situ data into numerical models, products, and applications towards timely and actionable information to help service providers, public authorities, and other international organisations improve European citizens’ quality of life and beyond.
Whilst Copernicus is a world-class Earth observation programme, it still needs continuous evolution to retain its global position and to address the constantly evolving environmental, emergency and security challenges by leveraging the latest science and technology knowledge. As part of the evolution efforts, Frontex is launching a new Prize Contest aimed at solving a challenge concerning the evolution of the Copernicus Border Surveillance Service (CBSS) to better serve the European Border and Coast Guard(EBCG) community.
Prize contest on Copernicus border surveillance service evolution
The Prize Contest aims at developing Copernicus-based solutions for the provision of a Digital Twin (DT) of the external borders, enabling the virtual representation of specific areas and its associated processes. The Digital Twin is expected to support the European Border and Coast Guard community in scenario simulations, for operational exercises and technical equipment deployment planning.
During this Prize Contest, participants shall present creative solutions which will be evaluated to assess their suitability for bridging gaps or improving the capabilities of current CBSS such as timelines, access to data, new paradigms in data fusion, automation, and inclusion of wider sets of complementary, non-EO and EO data. Solutions are expected to also demonstrate their viability for better security and emergency threats monitoring at regional or local level through the exploitation of simulation scenarios.
The Prize Contest focuses on developing a Digital Twin model of specific EU border areas to simulate and assess border permeability and efficiency of border surveillance equipment under diverse environmental and seasonal conditions (Figure 1). Participants will use this model to optimise and evaluate the deployment of surveillance equipment, ensuring maximum coverage, effectiveness, and scalability across various terrains. The Prize Contest aims to integrate high-resolution geospatial data and advanced simulation techniques to enhance border management strategies and equipment efficiency.
The Challenge
Frontex launches this Prize Contest seeking to:
Incentivise industry to develop innovative new concepts and technological solutions for cost-efficient, scalable, and integrated operational capabilities for border surveillance.
Reward the best performing technological solutions.
Obtain insights on how these solutions may support a validation of what an effective multi-layered, multi-data surveillance Digital Twin model might be for the mitigation of risks identified at the EU external borders.
The main challenge for this Prize Contest is:
Provision of a Copernicus-based solution for creating a Digital Twin of the external borders to enable the reproduction of specific areas and its associated processes to explore different scenarios via simulations.
The goal of this Prize Contest is to provide an opportunity for selected industry participants to deploy and test their proposed technological solutions in a testing environment, which will simulate a section of an EU external land border.
Activities and desired capabilities
Building a Digital Twin model
The development of the Digital Twin model to enhance border surveillance capabilities is crucial in establishing realistic and scalable testing scenarios that mirror actual conditions encountered near EU borders. The scalability of the DT model is particularly beneficial, as it allows for adaptation and expansion to various locations and conditions beyond the initial test area. This flexibility ensures that the model can be tailored to different environments and border regions, making it a valuable tool for long-term strategic planning and resource allocation. The DT model should integrate diverse geospatial data such as Digital Surface Models (DSM), and high-resolution hydrological information to accurately simulate and visualise real-life conditions. This comprehensive data integration facilitates the construction of a multi-dimensional, dynamic model that represents the permeability of borders, emphasising the influence of natural features and environmental factors on surveillance effectiveness.
To achieve these objectives, the DT model should utilise at least 5 different types of data from sources such as the Copernicus programme, alongside other open-source or proprietary datasets, ensuring the information remains accurate and relevant. The model’s adaptability should allow it to simulate diverse environmental and seasonal variations, creating a realistic testing environment to assess surveillance strategies and equipment deployment methods effectively. This scalable approach enhances the model’s capacity to anticipate, evaluate, and manage risks across different scenarios and regions, making it a critical asset in border management efforts.
The selected location for testing and validating the solutions will be focused on the EU’s external borders, specifically targeting areas with complex and diverse terrain features. The testing location will have varied border landscapes, including rivers, shorelines, forests, and mountainous areas. The chosen area of interest will provide the necessary conditions for aerial mapping with permissions that will be coordinated with national authorities to facilitate this aspect of testing.
The exact geographic coordinates of the selected area of interest will be provided to applicants that submitted proposals for Phase 1.
Simulate optimal distribution of border equipment
Participants should provide a detailed and comprehensive methodology for the assessment of performance of the simulation models, including specific metrics and measurement methods. The primary goal is to create a robust framework that will guide how to build and evaluate the equipment deployment simulation. The methodology will provide precise, data-driven recommendations for equipment setup and location within the selected area of interest to optimise surveillance costs, coverage, efficiency, and response time. The methodology will consider various factors, such as terrain and vegetation types, lighting, weather conditions, and seasonality.
Simulation scenarios should be structured to replicate the complex environments encountered at the EU’s external borders, focusing on several critical components to ensure that the solution can operate effectively across a range of dynamic and challenging conditions.
Prize contest roadmap
Applicants interested in participating in the Prize Contest shall submit their applications according to the requirements set forth in the Rules of Contest (section 4.4)
The Prize Contest will be organised in three distinct Phases as described below:
The Prize Contest will be organised in three distinct Phases. Source: Frontex
Interested applicants shall pre-register for participationin the Prize Contest by filling out an EU survey form as described in section 6 of the Rules of Contest.
Applicants shall prepare their submission and proposal package in accordance with the requirements laid out in the Rules of Contest and its annexes and appendix. The proposal package shall contain the documents specified in Annex 1 – Proposal Package checklist. The guidelines and requirements for the application and submission of proposals are explained in detail in the Rules of Contest.
Immediately after the deadline of the Call for Prizes (defined in section 4.7 – Schedule), all applications shall undergo a process of verification of their admissibility and eligibility according to the criteria described in section 5. Refer to section 6.3 for the full description of the submission process.
Phase 1 – Proposals Evaluation
In their submission of proposals, applicants are required to deliver a White Paper describing the proposed ideas, strategies, concepts, as well as describing, in a comprehensive way, their proposed technological solutions to build a DT model, simulating and evaluating the distribution of border surveillance equipment in accordance with the Challenge defined in sections 4.1, 4.2 and 4.3 of the Rules of Contest.
In addition to the White Paper, applicants must record a video pitch of up to 5 minutes. This video should effectively present their proposed solution, demonstrate the company’s capability to build the solution, and outline the methodology they intend to employ.
The White Paper shall provide a clear and concise overview of the proposed solution in accordance with the Award criteria defined in section 7.2 of the Rules of Contest and be guided by the White Paper template and guidelines (Appendix 1).
All received White Papers shall be evaluated and scored up to 100 points (according to the criteria defined in section 7.2 of the Rules of Contest). All participants will be ranked on a scoreboard.
The 5 best proposals will be eligible to receive an award of EUR 10 000 for the 5th place, EUR 10 000 for the 4th place, while the 3rd, 2nd and 1st prizes of Phase 1 will be EUR 45 000 each.
The 3 top laureates will be invited to Phase 2.
The top 3 winners will be invited to Phase 2 and will have around two months to develop a simulation environment for the designated Area of Interest (AoI). During this period, participants can visit the AoI to collect necessary data, verify their initial assumptions, and make any necessary measurements and adjustments to their simulation models. The potential dates for field visits will be communicated by Frontex.
The costs of organising the technical capacity presentation and field activities will not be reimbursed by Frontex.
Phase 2 – Demonstration and Demo Day
Prior to the live demonstration, contestants will be provided with a set of scenarios designed to simulate a range of border conditions and equipment distribution challenges. These scenarios will include diverse variables such as:
weather conditions (e.g., heavy rainfall, fog, snow),
During the event, participants will be challenged to demonstrate the flexibility and adaptability of their solutions by responding to proposed and new scenarios and parameters that will be introduced on the spot. This dynamic testing approach ensures that contestants showcase not only the technical robustness of their Digital Twin models but also their ability to quickly adjust equipment deployment strategies and surveillance methods under varying conditions.
All participants will be evaluated throughout the duration of the demo day in accordance with qualitative and quantitative criteria (defined in section 7.2. of the Rules of Contest). After the conclusion of the demonstration the participants shall be evaluated and scored up to 100 points. All participants will be ranked on a final scoreboard.
Frontex shall award the following prizes to the finalists, by score ranking order of Phase 2:
1st Prize: EUR 80 000 (Prize Contest Winner)
2nd Prize: EUR 60 000
3rd Prize: EUR 40 000
Schedule
Call for Prizes: December 2024
Deadline for submission of proposals: 12 February 2025 at 23:59 CET
Screening of eligibility and admissibility conditions for participation: end of February 2025
Phase 1
Evaluation of White Papers and videos: mid-March 2025
Announcement of laurates: March 2025
Phase 2
Demonstration during Demo Day: April/May 2025
Announcement of Prizes: June 2025
Participants shall note that this timelinemay be changed without prior notice. The most updated version of this schedule will be available, and continuously updated, on the Prize Contest Website.
We and use cookies and other tracking technologies to improve your experience on our website. We may store and/or access information on a device and process personal data, such as your IP address and browsing data, for personalised advertising and content, advertising and content measurement, audience research and services development. Additionally, we may utilize precise geolocation data and identification through device scanning.
Please note that your consent will be valid across all our subdomains. You can change or withdraw your consent at any time by clicking the “Consent Preferences” button at the bottom of your screen. We respect your choices and are committed to providing you with a transparent and secure browsing experience.
In case of sale of your personal information, you may opt out by using the link .
Customize your consent preferences for Cookie Categories and advertising tracking preferences for Purposes & Features and Vendors below. You can give granular consent for each and . Most vendors require explicit consent for personal data processing, while some rely on legitimate interest. However, you have the right to object to their use of legitimate interest.
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
Cookie
Duration
Description
__stripe_mid
This cookie is set by Stripe payment gateway. This cookie is used to enable payment on the website without storing any patment information on a server.
__stripe_sid
This cookie is set by Stripe payment gateway. This cookie is used to enable payment on the website without storing any patment information on a server.
_abck
This cookie is used to detect and defend when a client attempt to replay a cookie.This cookie manages the interaction with online bots and takes the appropriate actions.
_wpfuuid
This cookie is used by the WPForms WordPress plugin. The cookie is used to allows the paid version of the plugin to connect entries by the same user and is used for some additional features like the Form Abandonment addon.
ASP.NET_SessionId
Issued by Microsoft's ASP.NET Application, this cookie stores session data during a user's website visit.
AWSALBCORS
This cookie is managed by Amazon Web Services and is used for load balancing.
bm_sz
This cookie is set by the provider Akamai Bot Manager. This cookie is used to manage the interaction with the online bots. It also helps in fraud preventions
cookielawinfo-checbox-analytics
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checbox-functional
The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checbox-others
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-necessary
This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-performance
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
elementor
This cookie is used by the website's WordPress theme. It allows the website owner to implement or change the website's content in real-time.
JSESSIONID
Used by sites written in JSP. General purpose platform session cookies that are used to maintain users' state across page requests.
viewed_cookie_policy
The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Cookie
Duration
Description
_ga
The _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors.
_ga_4L7PKQPHHV
This cookie is installed by Google Analytics.
_ga_T50H0MNN9J
This cookie is installed by Google Analytics.
_gat_gtag_UA_12289088_5
Set by Google to distinguish users.
_gcl_au
Provided by Google Tag Manager to experiment advertisement efficiency of websites using their services.
_gid
Installed by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Cookie
Duration
Description
test_cookie
The test_cookie is set by doubleclick.net and is used to determine if the user's browser supports cookies.
Cookies, device or similar online identifiers (e.g. login-based identifiers, randomly assigned identifiers, network based identifiers) together with other information (e.g. browser type and information, language, screen size, supported technologies etc.) can be stored or read on your device to recognise it each time it connects to an app or to a website, for one or several of the purposes presented here.
Most purposes explained in this notice rely on the storage or accessing of information from your device when you use an app or visit a website. For example, a vendor or publisher might need to store a cookie on your device during your first visit on a website, to be able to recognise your device during your next visits (by accessing this cookie each time).
Advertising presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type or which content you are (or have been) interacting with (for example, to limit the number of times an ad is presented to you).
A car manufacturer wants to promote its electric vehicles to environmentally conscious users living in the city after office hours. The advertising is presented on a page with related content (such as an article on climate change actions) after 6:30 p.m. to users whose non-precise location suggests that they are in an urban zone.
A large producer of watercolour paints wants to carry out an online advertising campaign for its latest watercolour range, diversifying its audience to reach as many amateur and professional artists as possible and avoiding showing the ad next to mismatched content (for instance, articles about how to paint your house). The number of times that the ad has been presented to you is detected and limited, to avoid presenting it too often.
Information about your activity on this service (such as forms you submit, content you look at) can be stored and combined with other information about you (for example, information from your previous activity on this service and other websites or apps) or similar users. This is then used to build or improve a profile about you (that might include possible interests and personal aspects). Your profile can be used (also later) to present advertising that appears more relevant based on your possible interests by this and other entities.
If you read several articles about the best bike accessories to buy, this information could be used to create a profile about your interest in bike accessories. Such a profile may be used or improved later on, on the same or a different website or app to present you with advertising for a particular bike accessory brand. If you also look at a configurator for a vehicle on a luxury car manufacturer website, this information could be combined with your interest in bikes to refine your profile and make an assumption that you are interested in luxury cycling gear.
An apparel company wishes to promote its new line of high-end baby clothes. It gets in touch with an agency that has a network of clients with high income customers (such as high-end supermarkets) and asks the agency to create profiles of young parents or couples who can be assumed to be wealthy and to have a new child, so that these can later be used to present advertising within partner apps based on those profiles.
Advertising presented to you on this service can be based on your advertising profiles, which can reflect your activity on this service or other websites or apps (like the forms you submit, content you look at), possible interests and personal aspects.
An online retailer wants to advertise a limited sale on running shoes. It wants to target advertising to users who previously looked at running shoes on its mobile app. Tracking technologies might be used to recognise that you have previously used the mobile app to consult running shoes, in order to present you with the corresponding advertisement on the app.
A profile created for personalised advertising in relation to a person having searched for bike accessories on a website can be used to present the relevant advertisement for bike accessories on a mobile app of another organisation.
Information about your activity on this service (for instance, forms you submit, non-advertising content you look at) can be stored and combined with other information about you (such as your previous activity on this service or other websites or apps) or similar users. This is then used to build or improve a profile about you (which might for example include possible interests and personal aspects). Your profile can be used (also later) to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests.
You read several articles on how to build a treehouse on a social media platform. This information might be added to a profile to mark your interest in content related to outdoors as well as do-it-yourself guides (with the objective of allowing the personalisation of content, so that for example you are presented with more blog posts and articles on treehouses and wood cabins in the future).
You have viewed three videos on space exploration across different TV apps. An unrelated news platform with which you have had no contact builds a profile based on that viewing behaviour, marking space exploration as a topic of possible interest for other videos.
Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services (for instance, the forms you submit, content you look at), possible interests and personal aspects. This can for example be used to adapt the order in which content is shown to you, so that it is even easier for you to find (non-advertising) content that matches your interests.
You read articles on vegetarian food on a social media platform and then use the cooking app of an unrelated company. The profile built about you on the social media platform will be used to present you vegetarian recipes on the welcome screen of the cooking app.
You have viewed three videos about rowing across different websites. An unrelated video sharing platform will recommend five other videos on rowing that may be of interest to you when you use your TV app, based on a profile built about you when you visited those different websites to watch online videos.
Information regarding which advertising is presented to you and how you interact with it can be used to determine how well an advert has worked for you or other users and whether the goals of the advertising were reached. For instance, whether you saw an ad, whether you clicked on it, whether it led you to buy a product or visit a website, etc. This is very helpful to understand the relevance of advertising campaigns.
You have clicked on an advertisement about a “black Friday” discount by an online shop on the website of a publisher and purchased a product. Your click will be linked to this purchase. Your interaction and that of other users will be measured to know how many clicks on the ad led to a purchase.
You are one of very few to have clicked on an advertisement about an “international appreciation day” discount by an online gift shop within the app of a publisher. The publisher wants to have reports to understand how often a specific ad placement within the app, and notably the “international appreciation day” ad, has been viewed or clicked by you and other users, in order to help the publisher and its partners (such as agencies) optimise ad placements.
Information regarding which content is presented to you and how you interact with it can be used to determine whether the (non-advertising) content e.g. reached its intended audience and matched your interests. For instance, whether you read an article, watch a video, listen to a podcast or look at a product description, how long you spent on this service and the web pages you visit etc. This is very helpful to understand the relevance of (non-advertising) content that is shown to you.
You have read a blog post about hiking on a mobile app of a publisher and followed a link to a recommended and related post. Your interactions will be recorded as showing that the initial hiking post was useful to you and that it was successful in interesting you in the related post. This will be measured to know whether to produce more posts on hiking in the future and where to place them on the home screen of the mobile app.
You were presented a video on fashion trends, but you and several other users stopped watching after 30 seconds. This information is then used to evaluate the right length of future videos on fashion trends.
Reports can be generated based on the combination of data sets (like user profiles, statistics, market research, analytics data) regarding your interactions and those of other users with advertising or (non-advertising) content to identify common characteristics (for instance, to determine which target audiences are more receptive to an ad campaign or to certain contents).
The owner of an online bookstore wants commercial reporting showing the proportion of visitors who consulted and left its site without buying, or consulted and bought the last celebrity autobiography of the month, as well as the average age and the male/female distribution of each category. Data relating to your navigation on its site and to your personal characteristics is then used and combined with other such data to produce these statistics.
An advertiser wants to better understand the type of audience interacting with its adverts. It calls upon a research institute to compare the characteristics of users who interacted with the ad with typical attributes of users of similar platforms, across different devices. This comparison reveals to the advertiser that its ad audience is mainly accessing the adverts through mobile devices and is likely in the 45-60 age range.
Information about your activity on this service, such as your interaction with ads or content, can be very helpful to improve products and services and to build new products and services based on user interactions, the type of audience, etc. This specific purpose does not include the development or improvement of user profiles and identifiers.
A technology platform working with a social media provider notices a growth in mobile app users, and sees based on their profiles that many of them are connecting through mobile connections. It uses a new technology to deliver ads that are formatted for mobile devices and that are low-bandwidth, to improve their performance.
An advertiser is looking for a way to display ads on a new type of consumer device. It collects information regarding the way users interact with this new kind of device to determine whether it can build a new mechanism for displaying advertising on this type of device.
Content presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type, or which content you are (or have been) interacting with (for example, to limit the number of times a video or an article is presented to you).
A travel magazine has published an article on its website about the new online courses proposed by a language school, to improve travelling experiences abroad. The school’s blog posts are inserted directly at the bottom of the page, and selected on the basis of your non-precise location (for instance, blog posts explaining the course curriculum for different languages than the language of the country you are situated in).
A sports news mobile app has started a new section of articles covering the most recent football games. Each article includes videos hosted by a separate streaming platform showcasing the highlights of each match. If you fast-forward a video, this information may be used to select a shorter video to play next.
Your data can be used to monitor for and prevent unusual and possibly fraudulent activity (for example, regarding advertising, ad clicks by bots), and ensure systems and processes work properly and securely. It can also be used to correct any problems you, the publisher or the advertiser may encounter in the delivery of content and ads and in your interaction with them.
An advertising intermediary delivers ads from various advertisers to its network of partnering websites. It notices a large increase in clicks on ads relating to one advertiser, and uses data regarding the source of the clicks to determine that 80% of the clicks come from bots rather than humans.
Certain information (like an IP address or device capabilities) is used to ensure the technical compatibility of the content or advertising, and to facilitate the transmission of the content or ad to your device.
Clicking on a link in an article might normally send you to another page or part of the article. To achieve this, 1°) your browser sends a request to a server linked to the website, 2°) the server answers back (“here is the article you asked for”), using technical information automatically included in the request sent by your device, to properly display the information / images that are part of the article you asked for. Technically, such exchange of information is necessary to deliver the content that appears on your screen.
The choices you make regarding the purposes and entities listed in this notice are saved and made available to those entities in the form of digital signals (such as a string of characters). This is necessary in order to enable both this service and those entities to respect such choices.
When you visit a website and are offered a choice between consenting to the use of profiles for personalised advertising or not consenting, the choice you make is saved and made available to advertising providers, so that advertising presented to you respects that choice.
Information about your activity on this service may be matched and combined with other information relating to you and originating from various sources (for instance your activity on a separate online service, your use of a loyalty card in-store, or your answers to a survey), in support of the purposes explained in this notice.
In support of the purposes explained in this notice, your device might be considered as likely linked to other devices that belong to you or your household (for instance because you are logged in to the same service on both your phone and your computer, or because you may use the same Internet connection on both devices).
Your device might be distinguished from other devices based on information it automatically sends when accessing the Internet (for instance, the IP address of your Internet connection or the type of browser you are using) in support of the purposes exposed in this notice.
With your acceptance, certain characteristics specific to your device might be requested and used to distinguish it from other devices (such as the installed fonts or plugins, the resolution of your screen) in support of the purposes explained in this notice.