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With the tough data protection law to come into effect in early 2018, how are data companies planning to deal with collection of data?

Further, is this law concerned only with third-party data collectors, or does it affect first-party data collection as well?

For example: As a startup, it is recommended to collect data. How does GDPR affect this data collection analytics aspect even if you don't use third party tools, but develop your own ?

What resources are available to get into these two and related topics?

Would be also better if there are papers/books that introduces to these concepts (and toy implementation)?

I am on my final year of my Master's studies, and I want to intern as an industry researcher in CS-related field. I currently take Web Science where I do network analysis, and also have a degree in Sociology. I also have been working as a web-developer, and currently doing work student job as a web-analytics implementer (nothing fancy).

I tried looking into the few big names (who have international research labs) as I am based in Germany. I applied to Microsoft; Google's intership is closed for this year.

I place where I think I can contribute and learn more would be a company with lots of social data such as FaceBook, Twitter, however, to my suprise, Facebook doesn't seem to have internship projects with social science and computer science background. Maybe a company with a core marketing front?

I wanted to ask how did the HN community find their way into industry research internships or positions? In Europe? In USA?

Where should I start looking it? Are there specific job boards for such kind of positions? Any advice would be super super helpful.

Besides blogs and articles, what journals does the HN community use to digest new advances in web related technologies that distill knowledge in a more concrete and conceptual ways?

What are the developers that you follow from Europe (that write in English), and what other blogs that write about careers in Europe?

First off, I know this is something to talk with a lawyer, but I am a single developer, and would like to know more about how it works (particulary, in USA and Germany)

I was going through patents.google.com looking for patents to an idea that I would like to work on and to see if there already is one or not. However, it is very disheartening. Say for this particular example of a case.

I want to make a screencasting application in the web browser using the webRTC API. Now, without going through the patent, I could hack a product that does some business functions. Some of these implementation would be quite general, which I imagine, most developers would be able to implement on their own. However, these solutions would be quite similar (not on exact implementation detail, but rather on process). So as far I as got it, this patent https://patents.google.com/patent/US20140281896A1/en?q=webrtc&assignee=Google+Inc. claims such a process even specifying WebRTC.

Another case, would be if I want to use computer vision to detect faces from websites. But this patent seem to claim the idea of it : https://patents.google.com/patent/US9215411B2/en?q=webrtc&assignee=Google+Inc. Like for example 1. The method of claim 6, further comprising: detecting a face; and one or more of panning and zooming into the face.

It basically claims for detecting a face. If i implement such things using openCV, would that be patent liability?

How are such things handled in general? How can one pursue any innovation based on such restrictions? Or it doesn't matter in the sense they are not able to do?

tldr; For example, how can piwik do a analytics service when there are other patents that cover the process of implementing such service? How can you build a competitive product?