PhD in Economics and Law from the University of Maastricht. General Counsel and Secretary of the Board of Directors of Ferrovial SE since 2024. She is currently also member of the Board of the Nederlands Genootschap van Bedrijfsjuristen and of CARE Netherlands. She previously held the position of General Counsel at Lumicks, Deputy General Counsel at ASML, and Head of Legal at Philips Personal Health.
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Duration
Description
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11 months 29 days 23 hours 59 minutes
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12 months
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11 months
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csrftoken
11 months
This cookie is associated with Django web development platform for python. Used to help protect the website against Cross-Site Request Forgery attacks
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11 months
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.
Track the pages visited and the interaction in them.
Cookie
Duration
Description
_csrf
Anti Cross-site request forgery cookie.
_ga
2 years
This cookie is installed by Google Analytics. The cookie is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. The cookies store information anonymously and assign a randomly generated number to identify unique visitors.
_gat
1 minute
This cookies is installed by Google Universal Analytics to throttle the request rate to limit the colllection of data on high traffic sites.
_gat_gtag_UA_5784146_31
1 minute
Google Used to distinguish users.
_gat_UA-141180000-1
1 minute
This is a pattern type cookie set by Google Analytics, where the pattern element on the name contains the unique identity number of the account or website it relates to. It appears to be a variation of the _gat cookie which is used to limit the amount of data recorded by Google on high traffic volume websites.
_gat_UA-20934186-10
1 minute
This is a pattern type cookie set by Google Analytics, where the pattern element on the name contains the unique identity number of the account or website it relates to. It appears to be a variation of the _gat cookie which is used to limit the amount of data recorded by Google on high traffic volume websites.
_gat_UA-5826449-38
1 minute
Used by Google Analytics to throttle request rate
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1 minute
Used by Google Analytics to monitor the rate of requests
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1 minute
This is a pattern type cookie set by Google Analytics, where the pattern element on the name contains the unique identity number of the account or website it relates to. It appears to be a variation of the _gat cookie which is used to limit the amount of data recorded by Google on high traffic volume websites.
_gcl_au
2 months
Used by Google AdSense to experiment with advertising efficiency across websites using its services.
_gid
23 hours 59 minutes
This cookie is installed by Google Analytics. The cookie is used to store information of how visitors use a website and helps in creating an analytics report of how the wbsite is doing. The data collected including the number visitors, the source where they have come from, and the pages viisted in an anonymous form.
_hjAbsoluteSessionInProgress
30 minutes
This cookie is used to detect the first pageview session of a user. This is a True/False flag set by the cookie.
_hjCachedUserAttributes
Session
This cookie stores User Attributes which are sent through the Hotjar Identify API, whenever the user is not in the sample. These attributes will only be saved if the user interacts with a Hotjar Feedback tool.
_hjClosedSurveyInvites
365 days
Hotjar cookie that is set once a visitor interacts with an External Link Survey invitation modal. It is used to ensure that the same invite does not reappear if it has already been shown.
_hjDonePolls
365 days
Hotjar cookie that is set once a visitor completes a survey using the On-site Survey widget. It is used to ensure that the same survey does not reappear if it has already been filled in.
_hjid
365 days
Hotjar cookie that is set when the customer first lands on a page with the Hotjar script. It is used to persist the Hotjar User ID, unique to that site on the browser. This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID.
_hjIncludedInPageviewSample
30 minutes
This cookie is set to let Hotjar know whether that visitor is included in the data sampling defined by your site's pageview limit.
_hjIncludedInSessionSample
30 minutes
This cookie is set to let Hotjar know whether that visitor is included in the data sampling defined by your site's daily session limit
_hjLocalStorageTest
Less than 100ms
This cookie is used to check if the Hotjar Tracking Script can use local storage. If it can, a value of 1 is set in this cookie. The data stored in_hjLocalStorageTest has no expiration time, but it is deleted almost immediately after it is created.
_hjMinimizedPolls
365 days
Hotjar cookie that is set once a visitor minimizes an On-site Survey widget. It is used to ensure that the widget stays minimized when the visitor navigates through your site.
_hjRecordingLastActivity
Session
This should be found in Session storage (as opposed to cookies). This gets updated when a visitor recording starts and when data is sent through the WebSocket (the visitor performs an action that Hotjar records).
_hjShownFeedbackMessage
365 days
Hotjar cookie that is set when a visitor minimizes or completes Incoming Feedback. This is done so that the Incoming Feedback will load as minimized immediately if the visitor navigates to another page where it is set to show.
_hjTLDTest
Session
When the Hotjar script executes we try to determine the most generic cookie path we should use, instead of the page hostname. This is done so that cookies can be shared across subdomains (where applicable). To determine this, we try to store the _hjTLDTest cookie for different URL substring alternatives until it fails. After this check, the cookie is removed.
_hjUserAttributesHash
Session
User Attributes sent through the Hotjar Identify API are cached for the duration of the session in order to know when an attribute has changed and needs to be updated.
_smvs
23 hours 59 minutes
Records visitor behavior data on the web. This is used for internal analysis and web optimization.
_uetsid
1 day
This is a cookie used by Microsoft Bing Ads and it is a tracking cookie. Allows you to interact with a user who has already visited our website.
_uetvid
2 weeks
Cookie installed by Google Tag Manager to store and track visits between sites.
apbct_visible_fields
Session
Prevents spam content
apbct_visible_fields_count
Session
ct_checkjs
Session
Stores dynamic variables from the browser
ct_fkp_timestamp
Session
Stores visit time
ct_pointer_data
Session
Stores dynamic variables from the browser
ct_ps_timestamp
Session
Stores visit time
ct_timezone
Session
Stores visit time
dtCookie
Session
GPS
30 minutes
This cookie is set by Youtube and registers a unique ID for tracking users based on their geographical location
lumesse_language
50 years ago
This cookie determines language of Application Process user interface (labels, interface etc.)
MR
1 week
This cookie is used to measure the use of the website for analytical purposes.
smclient
10 years
A cookie itself does not contain any information that enables to identify contacts and to recognize e.g. personal data of the website visitor. Connection to the contact card takes place in the SALESmanago system.
test_cookie
14 minutes
This cookie is set by doubleclick.net. The purpose of the cookie is to determine if the users' browser supports cookies.
This cookie is set by Facebook to deliver advertisement when they are on Facebook or a digital platform powered by Facebook advertising after visiting this website.
everest_g_v2
1 year
The cookie is set in eversttech.net domain. The purpose of the cookie is to assign clicks to other events on the customer's website.
fr
2 months 28 days 23 hours 59 minutes
The cookie is set by Facebook to show relevant advertisments to the users and measure and improve the advertisements. The cookie also tracks the behavior of the user across the web on sites that have Facebook pixel or Facebook social plugin.
IDE
2 years
Used by Google DoubleClick and stores information about how the user uses the website and any other advertisement before visiting the website. This is used to present users with ads that are relevant to them according to the user profile.
lms_ads
It is used to identify LinkedIn members from designated countries for advertising purposes.
mid
9 years
The cookie is set by Instagram. The cookie is used to distinguish users and to show relevant content, for better user experience and security.
MUID
1 year
Used by Microsoft as a unique identifier. The cookie is set using embedded Microsoft scripts. The purpose of this cookie is to synchronize the identifier in many different Microsoft domains to allow user tracking.
NID
6 months
This cookie is used to a profile based on user's interest and display personalized ads to the users.
personalization_id
2 years
This cookie is set by twitter.com. It is used to integrate the sharing features of this social network. It also stores information about how the user uses the website for tracking and targeting.
uid
1 year
This cookie is used to measure the number and behavior of website visitors anonymously. The data includes the number of visits, the average duration of the visit on the website, the pages visited, etc. in order to better understand user preferences for targeted ads.
VISITOR_INFO1_LIVE
5 months
This cookie is set by Youtube. Used to track the information of the embedded YouTube videos on a website.
YSC
Session
This cookies is set by Youtube and is used to track the views of embedded videos.
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.
