New EPSS service for online preparation and submission of FP7 proposals

As the deadlines for the first calls for project proposals under the Seventh Framework Programme (FP7) approach, the new Electronic Proposal Submission Service (EPSS) has been launched to facilitate submitting proposals online.

The EPSS allows users to propose projects by creating their proposal completely online without having to download or save anything locally on their own personal computer. The service is available via the internet as a Web-based application and requires only a standard web browser, with no special software.

The EPSS is the method for preparing and submitting proposals in FP7. It provides a secure work space for a consortium to prepare and submit a proposal jointly.

To begin with, EPSS is available for the open calls under the 'Health' theme in the 'Cooperation' programme, as well as some calls in the 'People' and 'Ideas' programmes and calls under 'Research potential' and 'Regions of knowledge' in the 'Capacities' programme. For full details, please consult the 'Latest Calls Information' box on the CORDIS FP7 'Find a call' page (see link below).

In order to access the EPSS, users have to choose which call, and which sub-scheme within the call, they want to prepare a proposal for. This can be accessed via the CORDIS FP7 'Find a call' page.

After selecting the relevant call there, the user will arrive at the specific call page. Here, in the box 'Preparation and Submission of Proposals', choosing the relevant sub-scheme and clicking on 'Go' will send the user to the EPSS start page.

Here, users can register their details in order to receive their login username and password, as well as download the 'EPSS user guide'. The user's login data can then be used at a later date when returning to a saved proposal under preparation. For each new proposal, users need to register again.

For the availability of EPSS for specific calls, please consult 'Latest Calls Information' at:
http://cordis.europa.eu/fp7/dc/index.cfm

Copyright ©European Communities, 2007
Neither the Office for Official Publications of the European Communities, nor any person acting on its behalf, is responsible for the use, which might be made of the attached information. The attached information is drawn from the Community R&D Information Service (CORDIS). The CORDIS services are carried on the CORDIS Host in Luxembourg - http://cordis.europa.eu. Access to CORDIS is currently available free-of-charge.

Most Popular Now

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...