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- Ask, Maria, et al.
(författare)
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The Innovative Exploration Drilling and Data Acquisition Research School
- 2021
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Ingår i: NSG2021 27th European Meeting of Environmental and Engineering Geophysics. - : European Association of Geoscientists and Engineers.
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Konferensbidrag (refereegranskat)abstract
- The Innovative Exploration Drilling and Data Acquisition Research School (I-EDDA-RS) is aimed at educating emerging scientists and engineers in on-site drilling and geoscientific investigation technology for mining. I-EDDA-RS consists if a consortium of scientists and specialists from six universities and research institutes in Germany and Sweden. A central component of the research school is that the courses have hands-on components at drill sites, boreholes and repositories. In addition, a course on entrepreneurial skills required in the exploration industry is also included in I-EDDA-RS. The arrival of the Covid-19 pandemic resulted in altered plans. Instead of offering ten courses with strong field work, practical, and entrepreneurial components during 2020, four courses via distant learning were offered. While this was disappointing in many aspects, two of the courses attracted a larger group of students from a wider part of the world than original envisioned. Outreach via on-line and open webinars is also a route to explore, as a complement to meetings and conferences in real life. The I-EDDA-RS courses in 2021 welcomes students at MSc & PhD level, as well as experienced professionals for lifelong learning (c.f. https://www.iedda.eu/rs). The form and type of teaching is to be determined.
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| 3. |
- Silberzahn, Raphael, et al.
(författare)
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Many analysts, one dataset : Making transparent how variations in analytical choices affect results
- 2018
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Ingår i: Advances in Methods and Practices in Psychological Science. - : Sage Publications. - 2515-2459 .- 2515-2467. ; 1:3, s. 337-356
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Tidskriftsartikel (refereegranskat)abstract
- Twenty-nine teams involving 61 analysts used the same dataset to address the same research question: whether soccer referees are more likely to give red cards to dark skin toned players than light skin toned players. Analytic approaches varied widely across teams, and estimated effect sizes ranged from 0.89 to 2.93 in odds ratio units, with a median of 1.31. Twenty teams (69%) found a statistically significant positive effect and nine teams (31%) observed a non-significant relationship. Overall 29 differentanalyses used 21 unique combinations of covariates. We found that neither analysts' prior beliefs about the effect, nor their level of expertise, nor peer-reviewed quality of analysis readily explained variation in analysis outcomes. This suggests that significant variation in the results of analyses of complex data may be difficult to avoid, even by experts with honest intentions. Crowdsourcing data analysis, a strategy by which numerous research teams are recruited to simultaneously investigate the same research question, makes transparent how defensible, yet subjective analytic choices influence research results.
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| 4. |
- Berlin, Johan, 1975-, et al.
(författare)
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Typifiering eller normering? : En kritisk studie av teamteoretiska modeller
- 2009
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Ingår i: Företagsekonomisk ämneskonferens 2009. ; , s. 1-15
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Konferensbidrag (refereegranskat)abstract
- I den här studien fokuseras den starka passion som finns för typologier inom teamforskningen. Det finns typologier av teamprocesser, strukturella teamtyper och modeller för implementering av teamarbete. Vid första anblicken kan man i vissa fall få intrycket av att modellerna utvecklats utan att vara baserade på empiriska fynd och i andra fall att modeller blir en sorts självuppfyllande profetior som döljer möjligheten att urskilja variationer ur empiriska fynd.Syftet med denna artikel är att granska samband mellan ett antal typologier och diskutera varför teamarbete uttrycks som stegvisa utvecklingsmodeller. Speciellt fokus läggs på trestegsmodeller, så kallade triader.Vi har identifierat och analyserat fem teoretiska triader som beskriver teamarbete. Forskningsfrågan för denna artikel är: Är teamtypologierna värderande på så sätt att de särskiljer excellenta team från mindre framgångsrika, eller klassificerar de utan att värdera teamens grad av excellens? Är de teoretiska modellerna sorterande eller värderande?
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