Did you ever return back from a conference, having met a lot of interesting folks, listened to many inspiring talks, or having your presentation welcomed with a barrage of (of course, constructive!) questions, wishing if only you managed to take record of all these during the event? We are developing the Hive Open Research Network, a social platform for fostering scientific interactions and reducing friction in scientific exchanges and the underlying integrated services supporting content personalization, preview, and social/scientific recommendations. Hive is a conference-centric, but cross-conference platform, where researchers can seed and expand their research networks, keep track of the technical research sessions they are attending, meet new colleagues, share their ideas, ask questions, give and receive comments, or simply keep and/or view records of interactions at a conference they have attended (or wanted to attend, but missed due to other commitments). In its core, Hive leverages dynamically evolving knowledge structures, including user connections, concept maps, co-authorship networks, content from papers and presentations, and contextual knowledge to create and to promote networks of peers. These peer networks support each other explicitly through direct communication or indirectly through collaborative filtering. Hive provides the following online integrated services: a) understanding the personal activity context through access patterns and analysis of user supplied content, b) context-aware resource discovery, including search, presentation, and exploration support within the scientific knowledge structures, and c) peer discovery, and peer driven resource and knowledge sharing and collaborative recommendations.