Annual symposium of the AQ Austria
fteval2022-09-01T17:17:39+02:00When: 22.09.2022-22.09.2022 Where: TechGate Vienna Lifelong Learning at Universities: Viewpoints and Perspectives
IRVAPP Basic School 2022: Fundamentals and methods for impact evaluation of public policies
fteval2022-08-17T16:04:10+02:00October 17 – 22, the Institute for the Evaluation of Public Policies in Trento (IRVAPP) offers a course on various quantitative methods for evaluating impact. […]
Call for tenders for the evaluation of the LBG-Centers
fteval2022-08-17T16:01:01+02:00The Ludwig Boltzmann Gesellschaft invites tenders for the evaluation of the LBG-OIS Center and the LBG-Career Center. Tender documents are in German. The deadline for bids is 18 August 2022. […]
Open Call for Proposals: Participatory Elements in Research and Innovation
fteval2023-06-12T10:40:11+02:00The H2020 Project PRO-Ethics is working with research and innovation funding organisations (RFOs) across Europe to test new, ethical ways to involve citizens in research and innovation activities or decision-making processes. […]
Presentation of the Vienna Research Groups’ evaluation
fteval2022-08-17T15:49:55+02:00The WWTF shares their experience with the most recent self-evaluation. […]
Registration open until August 31
fteval2022-09-15T16:59:08+02:00The 25 annual conference of the DeGEval – Evaluation Society. From 14-16 September 2022 in Linz
Societal Impact of SSHA Conference, 2-4 Nov, Stockholm
fteval2022-07-15T17:12:35+02:00When: 02.11.2022-04.11.2022 Where: Stockholm, Sweden
SEVAL Congress 2022
fteval2022-09-15T17:17:08+02:00When: 01.09.2022-02.09.2022 Where: Fribourg Quantitative methods and mixed methods in the assessment of the object of evaluation The SEVAL Congress 2022 wants to deepen the connection between the assessment of the object of evaluation and the use of quantitative methods or mixed methods. There is a triangulation between the assessment to be made, the methods in question and the information available (which mostly includes quantitative as well as qualitative data).